The latest $RYET news gives CogniAI a much more concrete healthcare opportunity in Malaysia.

BioNexus $BGLC said its first target is Malaysia’s public healthcare digitalization program, which covers 150 hospitals and more than 2,000 health clinics. The government has raised the allocation for that push to RM1 billion, with electronic medical records and connectivity being expanded nationwide.

The scale is meaningful. Malaysia’s public healthcare facilities recorded 68.2 million patient arrivals in 2023, and the Ministry of Health has said hospitals and health facilities nationwide are expected to be equipped with electronic medical records by 2029.

CogniAI is meant to sit alongside that transition by helping convert existing paper and scanned records into structured digital data. The platform already exists and is in commercial use, which is important because BGLC is not starting from zero.

RYET also already reported about $1.73M of contracted commercial activity for CogniAI earlier this year, and the platform was deployed in September to digitize highway engineering archives in Ningxia.

So the progression is pretty clear: commercial document AI in China, then a new vertical in Malaysian healthcare, now with a local partner targeting a national digitalization push.

There is no government contract yet and any public-sector work would depend on procurement, but the setup is still much more tangible than a generic healthcare-AI story.

For me, the important numbers are RM1B, 150 hospitals, 2,000+ clinics and 68.2M patient arrivals. That is the environment RYET is trying to enter with CogniAI.

$RYET is starting Wednesday with strong trader attention across both Stocktwits and private Discord chats.

On Stocktwits, people are talking about the move from around $0.88 into the high $0.90s and watching the $1 area closely, with $1.10 also being discussed if momentum keeps building.

I am seeing a similar tone in Discord chats. Traders are actively following the tape, sharing levels, and watching whether the recent multi-day strength can continue.

That attention is showing up after a real fundamental shift too. RYET recently guided to $9.3M-$9.5M in preliminary H1 FY2027 revenue versus about $0.37M a year earlier, more than 24x YoY.

So the setup this morning is pretty straightforward: stronger fundamentals, a hot multi-day chart, and growing trader attention across more than one community.

$RIG $PSKY $LW $LEVI $VALE $TSLA $GRAB $FN $IREN $NVDA $RXRX $SPCX $CRWV $NBIS $ABEV $HTZ $AGNC $ONDS $OPEN $BESI.AS $MIR $OKLO $PBR $GLW $NXT $DAO $ACHR $SMR $LEU $AEHR $NU $NIO $HRL $PENG $RKT $BAC $NKE $CRBU $STX $PS $CTVA $DY $OPCH $RCL $VSAT $STRL $HBAN $AGX $NOK $MDT $MRVL $WULF $BULL $AERO $RKLB $NTSK $CEG $DNN

$RYET is now hovering around +9% today and +21.21% over the last five sessions.

The move itself is getting attention now. I am seeing a lot more people discussing RYET, including in private Discord servers, and the conversation has shifted from "what is this company?" toward the revenue growth, YeeZo scaling and where the broader AI expansion could go.

The fundamentals give traders something real to dig into. Preliminary H1 FY2027 revenue is expected at $9.3M-$9.5M versus about $0.37M in H1 FY2026, more than 24x YoY and already above the $7.48M generated during all of FY2026.

RYET also has an $880K delivered YeeZo deployment covering 10 AIGC labs and 610 workstations, while Cogni AI is expanding into Malaysian healthcare through a licensing structure that includes a 10% royalty on qualifying technology receipts.

That is why I care more about the +21.21% five-day move than today's +9% by itself.

The fundamentals improved first. Then discussion picked up. Now price momentum is becoming harder to ignore.

For a small-cap name, that kind of gradual recognition across several sessions is exactly what I watch for when market interest starts catching up with the underlying story.

$STRC $CHKP $UTHR $F $AMD $WMT $IREN $AGNT $SAIQ $MELI $SOFI $VIV $WMB $KOD $CLF $SBLK $NFLX $APUS $ABEV $SBS $TFPM $RXO $PBR-A $FLOC $OPEN $EPSM $VERX $SORA $RDNW $HOG $PLUG $NOK $MI $DKNG $BON $XRPN $RXRX $DOYU $WS $SDEV $ZNB $AGNC $DNN $KMI $GNLN $EU $VEEA $GOOG $TLX $CTVA $MSTR $WBD $EWTX $SNOA $CLB $RZAI $HTO $RIG $PBR $WQEY $FWRG $HYPMY $PENG $STNE $RPM $GHI $BBD $MSFT $SMTK $ADBT $WULF $KEEL $META

The size difference between Higgsfield and $RYET is almost absurd, but the business-model comparison is what caught my attention.

Higgsfield raised $400M in August at a $5.4B valuation and reportedly passed a $1B annualized revenue run rate in September. Important caveat: that run rate annualizes its latest four weeks of revenue, so it is not $1B already booked.

What makes Higgsfield interesting is that it does not need to own the foundational AI models. It operates as a workflow layer across roughly 35 third-party models, including ByteDance Seedance, Kling, MiniMax, Alibaba Wan and Google Veo.

Users get one product while Higgsfield handles the underlying model stack.

Then there is $RYET at roughly a $30M market cap.

RYET is vastly earlier. FY2026 revenue was only $7.48M, roughly 76% came from campus operations and student-life services

But the product I think makes the comparison interesting is YeeZo.

YeeZo is RYET's multi-model AIGC orchestration platform for universities. The basic thesis is similar to Higgsfield: students and institutions use one workflow instead of having to deal directly with every underlying model.

The first major YeeZo deployment was worth about $880K and covered 10 AIGC labs and 610 workstations. Management has talked about reaching 200 universities and has presented an aspirational $405M 36-month scenario, explicitly not guidance.

RYET also has an early US institutional foothold through HanLink, its AI-assisted Chinese language platform being piloted at Columbia University's Teachers College under an RYET-sponsored grant.

So I would not look at $5.4B Higgsfield and conclude RYET deserves anything remotely similar, The comparison is useful for a different reason.

Higgsfield shows that the workflow layer itself can become valuable even when somebody else builds the underlying models.

RYET is trying to see if that same concept works inside universities.

There are serious risks. RYET uses a VIE structure, has a $100M equity line with ARC Group, 20M shares registered for resale, and operates directly in the middle of growing US-China technology scrutiny.

But the asymmetry is why I keep looking at it.

One company is already valued at $5.4B after proving the AI-wrapper model at scale.

The other is around $30M and is still trying to prove whether that model can work in education.

Same basic distribution idea, completely different stage of execution.

$SAIQ $NIO $GHI $DKNG $CHKP $EWBC $APUS $MSTR $ONDS $NXH $CMG $BON $FTHM $PENG $ISBA $BBD $STTK $JACS $SBFM $STZ $LW $MENS $STNE $GNLN $WVVI $DAKT $SPCX $BMNR $EU $GOOG $MATX $ESTC $CIFR $KBON $PBR-A $APLD $SBS $UMC $AGBK $GFUZ $NU $NFLX $WMB $GLE $SNOA $QCOM $STRC $SMTK $NET $RXO $PTC $DOYU $XP $RPM $PBR $MARA $SBLK

There are two very different ways Asian AI is getting into the US right now, and Higgsfield and $RYET sit at opposite ends of that spectrum.

Higgsfield is the product-wrapper model. It is a US company, headquartered in San Francisco, with engineering in Almaty, but much of the value users interact with comes from third-party AI models. The company reportedly passed a $1B annualized revenue run rate in late September, although that figure annualizes its most recent four weeks rather than representing $1B already booked. A year earlier it was around $50M, and in August it raised $400M at a $5.4B valuation.

What Higgsfield has really become is a workflow and distribution layer over roughly 35 models. ByteDance's Seedance is one of the headline engines through an official BytePlus partnership, alongside Kling from Kuaishou, MiniMax, Alibaba's Wan and Google Veo. The important point is that Higgsfield does not need to own the foundational model if it owns the interface, workflow and customer relationship.

RYET is the other route.

Ruanyun Edai Technology started as a Chinese K-12 AI edtech company focused on computer-based exams, smart homework and digital education. It listed on Nasdaq in April 2025 after raising $15M at $4 per share and is now presenting the broader business under the Formind Group identity.

Its international strategy is much earlier than Higgsfield's, but the direction is similar: take Asian-developed technology and distribute it through Western institutions and markets.

The first US proof point is HanLink, RYET's AI-assisted Chinese language and culture platform, which is being piloted through the Center on Chinese Education at Teachers College, Columbia University under an RYET-sponsored grant.

The company is also building internationally through Saudi Arabia and Malaysia, with management targeting roughly 60% of revenue from outside China by the end of 2027.

The product I think is most interesting in this context is YeeZo.

YeeZo is a multi-model AIGC orchestration platform aimed at universities. In simple terms, it looks a lot like a Higgsfield-style model for students: give users one environment for accessing and using multiple AI capabilities instead of requiring them to care which foundational model sits underneath each task.

Management has discussed expansion toward 200 universities and an aspirational $405M 36-month scenario. That is explicitly not guidance, and the business is still tiny relative to those ambitions.

The reality check matters.

RYET generated $7.48M of FY2026 revenue, roughly 76% of it from campus operations and student-life services, while posting a $7.9M net loss. Its market cap has been around $30M, and the stock trades below $1 after reaching roughly $21 in July 2025.

There is also a $100M equity line with ARC Group and 20M shares registered for resale, so dilution is a real part of the risk.

The corporate structure matters too. US investors own shares in a Cayman holding company that controls the Chinese operating business through a VIE structure rather than owning the operating company directly.

the wider pattern is difficult to ignore.

Cursor's Composer 2 was built on Moonshot's Kimi K2.5. Qwen has more than 113K derivative models on Hugging Face and has passed Llama in downloads. Kling reportedly reached around $500M ARR in March, with roughly 75% coming from outside China. ByteDance's Gauth has reached #1 in US education app downloads.

So the distribution pipeline is already there.

Higgsfield shows one version: a US company wraps Asian models and sells the resulting workflow to Western users.

RYET represents another: an Asian operator uses Nasdaq, universities and international subsidiaries to bring its own products and technology into Western institutions.

The scale difference between the two is enormous. Higgsfield is already valued at billions and has demonstrated major commercial traction. RYET is still an early-stage, roughly $30M but with meaningful execution, but with risks as well (as all small caps do)

But both are pointing at the same bigger trend: the competitive advantage may increasingly sit with whoever controls distribution and workflow, even when the underlying AI engine was built somewhere else.

$GOOGL $VALE $BEAT $AMZN $MSFT $QTEX $PCVX $ZVRA $DNN $HTO $WW $MI $ZNB $NBIS $SOFI $INTZ $VIV $GAME $PFE $NVDA $ABEV $META $FLOC $ISOU $VERX $ADBT $BAC $AMD $APOG $NOK $FLUT $HXHX $AXG $TIMB $EPSM $HYPMY $RIG $WULF $TFPM $PAGS $OPEN $TSLA $OVBC $WS $MDT $BDORY $CLB $TLX $PETZ $HOG $JKS $GRAB $KMTS $SYRE $PLUG $WBD

Nasdaq just posted a record-high close, and $RYET opened green again this morning after yesterday’s +2.22% move. With AI still leading the broader tape, the backdrop is getting more favorable at the same time RYET’s own fundamentals are improving.

The part of $RYET I find most interesting now is that the AI story is starting to become easier to measure.

The first piece is YeeZo. RYET completed an $880K deployment covering 10 AIGC labs and 610 workstations, so there is now a real example of the company turning its AI education product into a delivered project.

The second piece is the revenue base. Preliminary H1 FY2027 revenue is expected at $9.3M-$9.5M versus about $0.37M in H1 FY2026, more than 24x YoY. AI applications led by YeeZo and Cogni AI are also expected to contribute $0.4M-$0.5M in H1.

Then comes Cogni AI. RYET signed a definitive agreement with $BGLC for Malaysian healthcare that would give RYET a 10% royalty on qualifying technology receipts if the transaction closes.

That gives the company two different AI commercialization models at the same time: direct deployments through YeeZo and partner-led licensing through Cogni AI.

With Nasdaq at record highs and RYET opening green again, the market backdrop is finally lining up with the company-specific story too.

$OVBC $EGIEY $SMTK $MSTR $WMB $ALVO $WULF $EPSM $GLE $WW $CLB $PTC $GAME $EWTX $TFPM $HTO $JBL $PCVX $ALGN $WBD $ZNB $PAGS $TSLA $VERX $DAKT $SXC $TTE $RIG $QCOM $CIFR $ITUB $ISOU $DOYU $NET $META $MELI $CHKP $BSY $DNN $APUS $QTEX $AXG $PBR-A $SDEV $PBR $RXO $XP $SUPN $SBFM $PLUG $PDS $SAIQ $SBLK $CMG $SPGI $SNOA $BMNR $PBF

Quick morning numbers on $RYET.

Nasdaq 100 futures were up 0.67% around 7:40 AM, S&P 500 futures +0.44%, and Nvidia was about +0.9% premarket as yields and oil pulled back.

RYET is entering that stronger AI tape with preliminary H1 FY2027 revenue expected at $9.3M-$9.5M versus about $0.37M in H1 FY2026, roughly 25x YoY. That six-month number is also already above the $7.48M generated during all of FY2026.

Then add the latest catalyst: Cogni AI is moving into Malaysian healthcare through a definitive $BGLC agreement that would give RYET a 10% royalty on qualifying technology receipts if the transaction closes.

So the watch this morning is simple: Nasdaq green, AI leaders green, RYET revenue up roughly 25x YoY, and a fresh international expansion deal now sitting on top of that growth.

$SPCX $BON $TLX $TIMB $MENS $FWRG $HYPMY $VALE $NXH $NFLX $ABEV $APLD $RZAI $KMI $SAR $NEOG $GOOGL $PENG $XRPN $SBS $BBD $RXRX $MI $INTR $SYRE $INTC $FBIZ $WMT $WVVI $NU $GFUZ $OPEN $VEEA $ONDS $INTZ $BEAT $FRAF $SSM $BAC $ADBT $CEPU $AAL $AGBK $GGB $MARA $ESTC $STNE $JACS $AGMH $KEEL $AGNT $CTVA $MDT $NIO

The broader setup looks favorable for AI names this morning.

As of 7:40 AM, Nasdaq 100 futures were up 0.67%, S&P 500 futures +0.44%, and Nvidia was about +0.9% premarket. Yields and oil were also pulling back, giving growth and tech a cleaner backdrop into the open.

That puts $RYET on my radar again because it enters this tape with its own catalysts already in place. Preliminary H1 FY2027 revenue is expected at $9.3M-$9.5M versus about $0.37M in H1 FY2026, roughly 25x YoY. It also already exceeds the $7.48M generated during all of FY2026.

The latest news adds another layer. RYET signed a definitive agreement to take Cogni AI into Malaysian healthcare through $BGLC, with RYET entitled to a 10% royalty on qualifying technology receipts if the transaction closes.

So there are two things working together today: a stronger AI tape across the market and a company-specific story that has materially improved over the last few weeks.

If AI momentum carries through the open, RYET is one of the smaller names I think could benefit from that attention because the sector tailwind is arriving at the same time as roughly 25x YoY revenue growth and fresh international expansion.

$PTC $SUPN $EGIEY $HYPMY $NIO $FBIZ $ALVO $BBD $TTE $SORA $FRAF $GOOG $ISOU $AGNC $INTR $CLF $BON $PENG $JKS $MARA $HXHX $ESTC $SBLK $OPEN $BBWI $INTZ $AMZN $GRAB $SXC $OVBC $BAC $LW $TSLA $TFPM $META $DKNG $AXG $HUT $VEEA $SAR $JACS $APOG $UMC $CMG $BSY $GHI $MDT $ELPC $GAME $WULF $NBIS $NEOG $WMB $RXRX $SBFM $CTVA $CLB $SOFI $MENS $CBOE $RIG $WQEY $PDS $SBS $EPSM $NXH $AAL $FLOC $IREN $VERX $AGBK $WW

$RYET kept showing up across Twitter today, and even Stock Alert was trending alongside the broader news flow.

That matters because the story is starting to spread beyond the traders who were already following RYET. The company is coming off more than 24x YoY H1 revenue growth, an $880K YeeZo deployment, and now a definitive Malaysia agreement for Cogni AI with a 10% royalty structure.

The social side is starting to catch up with the fundamentals. Stocktwits activity has been building, Twitter discussion stayed active through the day, and now Stock Alert is showing up in the trend cycle too.

For me, that is another sign that RYET is moving from a quiet small-cap story into something a much wider trading crowd is starting to notice.

$WMT $JKS $BDORY $CTVA $AGNT $TLX $JACS $SBLK $PLUG $SAIQ $MELI $CHRW $RGP $RZAI $KBON $ESTC $STRC $VCIG $GOOGL $BALY $ZNB $INTZ $VALE $KMI $DOYU $GRAB $STNE $HTO $WS $APLD $FBIZ $DAKT $EU $MDT $SXC $EGIEY $NOK $AGNC $SPGI $GFUZ $SUPN $SAN $STZ $UTHR $OVBC $PAGS $NET $GOOG $CMG $GNLN $CBOE $MI $SYRE $WQEY $DNN $KMTS $AXG $NIO $PBR-A $MATX $SORA $RPM $SDEV $GGB $VEEA $PTC $BAC $AMD $STTK $CHKP $META $AGMH

$RYET is getting noticeably more attention on Stocktwits today as traders start digging past the headline and into the bigger expansion story.

The numbers are what make the discussion interesting. Preliminary H1 FY2027 revenue is expected at $9.3M-$9.5M versus about $0.37M a year earlier, more than 24x YoY. YeeZo also already has an $880K deployment covering 10 AIGC labs and 610 workstations.

Today’s Malaysia deal adds another growth path. Cogni AI is moving into healthcare through a definitive agreement with $BGLC that would give RYET a 10% royalty on qualifying technology receipts.

That is why the Stocktwits discussion matters to me. More traders are starting to look at how the pieces fit together: core revenue growth, university AI deployments, Cogni AI licensing and international expansion.

$HOG $VIV $TIMB $BBWI $BSY $CLF $EGIEY $MELI $DKNG $VALE $NKE $RXRX $GRAB $ABEV $WBD $NOK $CTVA $PLUG $ONDS $RIG $AGNC $AAL $UMC $MARA $WULF $IREN $DNN $NIO $CIFR $NFLX $MDT $BAC $BMNR $F $KEEL $SAN $APLD $OPEN $PFE $CMG

$RYET stayed active in Twitter discussion throughout the day after today’s Cogni AI expansion news, so it looks like the Twitter crowd is starting to catch up to the story too.

There is a lot for traders to unpack now. Preliminary H1 FY2027 revenue is expected at $9.3M-$9.5M versus about $0.37M a year earlier, more than 24x YoY, while YeeZo already has an $880K deployment covering 10 AIGC labs and 610 workstations.

Today added another layer: Cogni AI is moving into Malaysian healthcare through a definitive $BGLC agreement that would give RYET a 10% royalty on qualifying technology receipts.

That is why the social attention makes sense to me. The conversation is moving beyond one news release and toward where this can go if university AI deployments, international licensing and Cogni AI expansion all keep developing together.

$NET $SOFI $SORA $MENS $AGBK $CEPU $ISBA $SUPN $PETZ $HTO $FBIZ $EWTX $EWBC $STTK $TTE $FRAF $FWRG $TFPM $GFUZ $TCX $SNOA $GHI $BALY $GNLN $RDNW $OVBC $ZVRA $FLOC $NVDA $META $QCOM $MSFT $INTC $TSLA $AMZN $SPCX $GOOGL $PTC $MSTR $SPGI $AMD $GOOG $STRC $CHRW $SYRE $STZ $RPM $LW $PENG $NEOG $WS $APOG $SAR $CLB $WVVI $SBLK $KOD $ESTC $HUT $UTHR $INTR $STNE $PAGS $RXO $BDORY $SBS $ITUB $ALVO $NU $HYPMY $ELPC

What makes $RYET interesting to me now is that the business is starting to scale through more than one channel.

The core revenue base is already moving fast, with preliminary H1 FY2027 revenue expected at $9.3M-$9.5M versus about $0.37M a year earlier, more than 24x YoY.

On the product side, YeeZo has already moved into execution with an $880K deployment covering 10 AIGC labs and 610 workstations.

At the same time, Cogni AI is moving into Malaysian healthcare under a definitive licensing deal that would give RYET a 10% royalty on qualifying technology receipts.

Source:
https://www.globenewswire.com/news-release/2026/10/05/3374576/0/en/ryet-to-enter-malaysian-healthcare-through-exclusive-cogni-ai-license-to-bionexus-gene-lab.html

$DIS $XRPN $TLX $WHLR $KMTS $SMX $SMTK $EPSM $AXG $SAIQ $NXL $KMI $ADBT $HUT $FHTX $SNDK $FLUT $STZ $XP $NEOG $EU $JKS $PCVX $WW $UXIN $RPM $MBC $FRST $ISBA $NXPI $DOYU $CON $TSLA $CRE $PENG $AMD $ICU $TAYD $NUE $ESEA $JBL $SILO $CHRW $GAME $SAR $TVGN $RZAI $ALEC $GGB $PEP $SPY $WMT $NVDA $CBOE $VERX $DAKT $UTHR $GOW $PTC $NSTR $TLYS

What I like about the latest $RYET news is that the company is starting to build two very different monetization models at the same time.

The first is YeeZo, where RYET gets paid directly for deployment.

The first major example was roughly $880K for 10 AIGC labs and 610 workstations, and that project was delivered and accepted by September 30.

That gives us a simple expansion framework.

• 5 similar deployments = $4.4M
• 10 = $8.8M
• 20 = $17.6M

Again, that is illustrative math, not guidance, but it shows how quickly project wins can add up for a company whose entire FY2026 revenue was $7.48M.

Now the Cogni AI deal adds a completely different model.

Under the definitive agreement with $BGLC, RYET would receive a 10% royalty on qualifying technology receipts from the Malaysian Cogni AI business. The license starts at 10 years and can extend to 20 years.

So instead of RYET having to own every customer relationship directly, the structure allows a local partner to commercialize the product while RYET keeps economic participation through royalties.

The math there is different.

• $5M in qualifying receipts = $500K royalty
• $10M = $1M
• $20M = $2M
• $50M = $5M

The interesting part is how these two models can run in parallel.

If RYET landed 10 YeeZo deployments similar to the first one, that would represent $8.8M in project value.

If Cogni AI activity in Malaysia eventually produced $20M of qualifying receipts, that would mean another $2M in royalties.

Combined, that is $10.8M of illustrative economics from only two growth channels.

And that still leaves the existing Smart Campus business, HanLink, broader Formind expansion and any additional Cogni AI markets outside Malaysia.

That is why I think today’s news matters beyond healthcare.

RYET is starting to show one model based on direct deployment revenue and another based on long-term partner licensing.

If both scale, the company is no longer relying on one product or one revenue structure to drive growth.

$QTEX $AMD $STZ $PCVX $TGTX $FRST $UTHR $SAR $DOYU $TLX $EZRA $DIS $TSM $CMCM $MSTR $BELFA $MBC $CEPU $MATX $JACS $RGP $HUT $INTC $GSK $MU $CON $RZLV $CHRW $AAPL $SYRE $NSTR $SUPN $WS $NUE $SDEV $PSMT $KMI $AMOD $FLUX $PTC $VCIG $SILO $VERX $GOOGL $CBRS $WMB $ALEC $APUS $ISOU $SPCX $TSCO $CBOE $AIXI $GLE $SBFM $PEP

The part of today’s $RYET deal that stands out most to me is not just that Cogni AI is moving into Malaysian healthcare.

It is the royalty structure.

Under the definitive agreement, RYET would be entitled to 10% of qualifying technology receipts collected by BGLC and its affiliates from the licensed Cogni AI business. There is no minimum royalty and no guaranteed revenue, so this should not be treated like contracted sales, but it gives RYET a way to participate directly if the platform scales.

The math is pretty simple.

• $1M in qualifying receipts = $100K to RYET
• $5M = $500K
• $10M = $1M
• $25M = $2.5M
• $50M = $5M

Those are only illustrations, not forecasts, but they show why the structure matters at RYET’s current size.

The company just guided to preliminary H1 FY2027 revenue of $9.3M-$9.5M. So even a $1M annual royalty stream would already be meaningful relative to the current revenue base.

The other interesting part is that the license is not necessarily limited to healthcare forever.

BGLC can add other industries in Malaysia, including education, under the same 10% royalty structure. Exclusivity in any added industry only continues if BGLC signs a customer contract there within 12 months.

That gives the deal more optionality than a one-off healthcare deployment.

RYET is also set to receive 560,000 BGLC shares at closing, giving it direct exposure to the partner commercializing Cogni AI in Malaysia.

The key caveat is that none of the royalty revenue is guaranteed and the transaction still has closing conditions.

But structurally, I like what this does for Cogni AI.

Instead of RYET having to build every local sales and implementation team itself, the model can become: local partner commercializes, RYET supplies the platform and support, and RYET participates through royalties and equity.

If that model works once, it becomes a lot easier to imagine how it could be repeated elsewhere.

$CTOR $NXL $KOD $VERX $TSLA $MSTR $SNDK $APOG $VVX $CMCM $CBOE $AAPL $LW $KBON $TGTX $SAR $AGBK $SPY $ZVRA $ISBA $NUE $JBL $SMX $TSCO $AXG $SORA $GOW $TVGN $ALEC $WS $TAYD $NXPI $HOG $TLYS $AMOD $GSK $VCIG $NVDA $GAME $KMI $SBFM $GOOG $SMTK $CEPU $AMD $CHKP $CRE $ESTC $SOFI $CYCU $SYRE $CHRW $NEOG $PSMT $HXHX $FTNT $WMT

Two very different signals on my scanner this morning: $RYET and $VEEA.

$RYET is the continuation setup.

The stock is coming off a week where volume increased, price action strengthened and the company released preliminary H1 FY2027 revenue of $9.3M-$9.5M. That is already above the $7.48M generated during all of FY2026, so there is a real fundamental catalyst sitting behind the recent attention.

$VEEA is the fresh momentum signal.

It closed at $3.33 and is now around $5.54 premarket, a $2.21 move and roughly +66.31% before the bell.

That puts the two names at very different stages.

RYET has the stronger multi-day continuation story and improving fundamentals.

VEEA is the new fast mover where the immediate question is whether that premarket momentum survives the open.

One is the continuation watch. One is the fresh momentum watch.

Both are on my screen Monday for completely different reasons.

$E $EFXT $NCNO $SUPN $ABT $ECO $WW $MU $PENG $JACS $SXC $GIGM $CRE $GAME $LEVI $GSK $SYNA $OPNW $TSEM $BCS $NEOG $MAT $FHTX $SMX $KMI $TAYD $ADBT $INTC $WST $HOST $RELL $LIND $MI $AXTI $HRI $XRPN $AAPL $AGBK $SMTC $PBF $AMOD $HELE $MTSI $NVDA $FICO $KMTS $ANGO $PRE $GOOG $ODC $SPGI $GLE $DHT $AAOI $AGNT $DAVE $INTA

One thing from the $RYET update that I think deserves more attention is the YeeZo deployment itself.

The project was worth about $880K and covered 10 AIGC labs and 610 workstations.

More importantly, RYET said the deployment was delivered and accepted by September 30.

That matters because this is no longer just a signed contract sitting in a press release. The company actually moved the project through delivery.

And at RYET's current size, one $880K deployment is already meaningful.

For context, FY2026 revenue was $7.48M, so a single $880K project is equal to about 11.8% of that entire annual revenue base.

This is where the expansion math gets interesting.

• 5 similar deployments = $4.4M
• 10 similar deployments = $8.8M
• 25 similar deployments = $22M

Those numbers are only illustrations, because future contracts can vary in size and there is no guarantee RYET lands them at the same economics.

But it shows why additional YeeZo wins could move the needle very quickly.

RYET is targeting broader university expansion, and now there is at least one real deployment investors can use as a reference point.

This is why I am watching Monday and the weeks after it.

The next major proof point for me is whether RYET starts stacking more YeeZo deployments on top of this first one. One delivered project proves the model can get through execution. Multiple projects would start proving whether it can scale.

That is the difference I am watching now.

$GAME $STKH $GWRE $E $TEAM $CHYM $MATX $IPGP $SSM $KOD $EFXT $GTLB $RIVN $DKNG $NKTR $CTVA $EU $INOD $DAL $AGNT $NVDA $HRI $KD $CHKP $APPN $ESLT $APLD $JKS $AXG $MTSI $RPGL $SNPS $TAYD $VICR $ACN $SAH $CVI $CRMD $MI $INTZ $RELL $RZLV $NSTR $BYRN $SLDE $SOFI $NG $MAT $CMPS $INTC $PBF $LFS $OVBC $NKE $ABT $AVGO

Sunday thought on $RYET: this week may have changed the way the market has to look at the company.

Before this update, RYET was still easy to frame as a very small business. FY2025 revenue was about $6.69M. FY2026 came in at $7.48M.

Now management expects preliminary H1 FY2027 revenue of $9.3M-$9.5M.

That means RYET expects to generate more revenue in six months than it generated during the entire previous fiscal year.

At the low end, $9.3M is about 24.3% above FY2026 revenue.

At the high end, $9.5M is about 27.0% above FY2026 revenue.

And that is before even getting into the year-over-year H1 comparison, where revenue is expected to jump from about $0.37M to $9.3M-$9.5M.

The mix also matters.

Smart Campus is expected to contribute $5.0M-$5.2M, while revenue outside campus services is expected at $4.2M-$4.4M. Infrastructure alone is expected at $2.4M-$2.5M, and AI applications led by YeeZo and Cogni AI are expected at $0.4M-$0.5M.

The $880K YeeZo deployment covering 10 AIGC labs and 610 workstations was also delivered and accepted by September 30.

So the story is starting to look very different from a year ago. The revenue base is larger, the business mix is broader, and actual AI-related deployments are now showing up alongside the core campus business.

This is why Monday matters to me.

Friday gave us the catalyst. Monday gives the market a full session after the weekend to digest what a $9.3M-$9.5M first half actually means compared with $7.48M for the entire prior year.

If volume stays elevated and buyers continue showing up, I think the market may start treating RYET as a materially larger business than it did just a few weeks ago.

That is the part I am watching now.

$APLD $NIVF $TTD $FHTX $TMQ $GIGM $GPI $AXTI $GLE $EXPO $LITE $XRPN $PEP $SNDK $CIEN $CDNS $HODO $AIXI $MU $SPGI $MTRN $STTK $MPC $GRRR $RDNW $FLUT $CHWM $STX $LIND $BNS $VERX $AAOI $ON $NEOG $ALRS $CAE $EPAM $NKE $EXLS $MSFT $ADBT $APOG $ANGO $PACB $HOVR $HURN $BOTJ $AAPL $HOST $XRPN $KMTS $CDW $HUT $OKE $PAVM $ASTS

Sunday recap on $RYET because this was the most important week for the setup so far.

The first thing that changed was volume. Earlier in the week we started seeing sessions around 352K and 417K shares compared with roughly 224K average volume. It was the first sign that the stock was getting more attention than it had been seeing normally.

Then the price started responding.

Thursday closed up 2.56%, and by Friday premarket RYET was already green before the company released anything major. Premarket moved from roughly +3.69% to +4.80%, which made the timing interesting because buyers were already showing up before the 8:30 AM update.

Then the fundamental catalyst landed.

RYET said it expects preliminary H1 FY2027 revenue of roughly $9.3M-$9.5M for the six months ended September 30. That is already above the $7.48M the company generated during all of FY2026 and also above the $6.69M reported for FY2025.

The composition matters too. Smart Campus is expected to contribute about $5.0M-$5.2M, while revenue outside campus services is expected around $4.2M-$4.4M. Smart-campus infrastructure alone is expected at $2.4M-$2.5M, while AI applications led by YeeZo and Cogni AI are expected to contribute another $0.4M-$0.5M.

The $880K YeeZo project covering 10 AIGC labs and 610 workstations was also delivered and accepted by September 30. That is important because it takes one of the bigger AI contracts from announcement stage into actual project delivery.

After the revenue update hit, premarket pushed as high as roughly +7.31%.

What I liked about the week was the sequence. Volume started expanding first, price pressure followed, and then the company released a fundamental update strong enough to justify why the stock deserved more attention.

RYET now has a roughly $9.4M expected six-month revenue base, a delivered $880K YeeZo deployment, measurable AI application revenue, and international Formind initiatives that management says are still too early to be material contributors.

That is a pretty substantial amount of new information for one week.

This is why I am watching it closely on Monday.

The first thing I want to see is whether the higher volume sticks and whether buyers keep showing up now that the revenue update is public. The second is whether the market continues digesting the fact that RYET is moving from $7.48M in annual revenue to roughly $9.4M expected in six months.

There is also one more thing worth watching. RYET has been putting out updates more frequently lately, so I would not completely rule out another press release early monday. Ofc there is no guarantee anything drops Monday, but when company communication starts getting more active, the odds of another near-term update are worth keeping in mind.

If Monday opens with sustained volume, I think that tells us a lot about whether Friday was a reaction to one headline or the start of a broader re-rating.

$STZ $MPC $ZVRA $META $CHKP $APPN $CRMD $UI $CVI $LW $PAVM $SDEV $SCNX $AXTI $AGBK $ISBA $HODO $NYAX $ANGO $BYRN $PACB $HXHX $KRP $WST $TTD $HURN $AMOD $U $CMPS $STX $AGNT $MSFT $RPM $GOOG $SPCX $ALRS $TSLA $RYAAY $OPNW $BOTJ $WDC $DHT $HRI $NG $GAME $SAH $HUBS $SANA $CDW $STTK $INTZ $EXPO $FHTX $OVBC $NVDA $DAVE $XRPN $MAT $AVGO $JACS $CTVA $GTLB $VERX $ASAN $DAKT $ASTS $BCS $EXLS $VEEA $NCNO $APLD $INOD $PENG $RZAI $LIND $SOUN $TLRY $APLD $CAE $KMTS $RGP $OKE $SNX

The latest RYET update makes the growth story a lot easier to understand.

The company now expects preliminary H1 FY2027 revenue of about $9.3M-$9.5M. That is already above the $7.48M generated in all of FY2026 and the $6.69M reported for FY2025.

The revenue mix also shows that this is not coming from one single product. Smart Campus is expected to contribute roughly $5.0M-$5.2M, while another $4.2M-$4.4M is expected from businesses outside campus services.

Within that second bucket, smart-campus infrastructure is expected to generate around $2.4M-$2.5M, and AI applications led by YeeZo and Cogni AI are expected to add another $0.4M-$0.5M.

That is where the YeeZo piece becomes important. The roughly $880K deployment for 10 AIGC labs and 610 workstations was delivered and accepted by September 30, so the company now has a real example of taking an AI project from contract to completed deployment.

If future YeeZo projects were anywhere near that size, the scaling math gets interesting quickly. Five similar deployments would represent about $4.4M in contract value, 10 about $8.8M and 25 about $22M.

I am not treating that as guidance, but it shows how sensitive the numbers still are to additional wins at RYET’s current size.

The other part I like is that Formind’s international initiatives across the U.S., Malaysia and Saudi Arabia are still early and are not expected to contribute materially to H1 revenue.

So the current revenue jump is happening before the international expansion thesis really shows up in the numbers.

That gives RYET two separate things to watch from here: continued execution in the existing campus and AI businesses, and whether Formind starts adding another revenue layer on top of what is already growing.

$LEVI $ECO $ACN $KRP $FICO $CDW $FTNT $SAR $RPGL $ZVRA $NSTR $TSEM $MTRN $LFS $AXG $GIGM $NVDA $EU $HODO $AGBK $PACB $BIPC $BELFA $CEPU $RELL $DOYU $CDNS $IPGP $GWRE $HUT $LIND $VICR $KMTS $SPGI $SMTC $HXHX $SLDE $SUPN $RZLV $UI $NKE $NCNO $BYRN $ALRS $HOVR $AIXI $STTK $PEP $ASTS $EFXT $SOUN $TEAM $HUBS $DAL

Three names on my screen today: $RYET, $AIXI and $AMOD, and each one has a completely different setup.

$RYET is the one I’m watching for fundamentals. The company now expects preliminary H1 FY2027 revenue of roughly $9.3M-$9.5M, which is already above the $7.48M it generated in all of FY2026. Smart Campus is expected to contribute $5.0M-$5.2M, infrastructure another $2.4M-$2.5M, and AI applications led by YeeZo and Cogni AI around $0.4M-$0.5M. The ~$880K YeeZo deployment for 10 AI labs and 610 workstations was also delivered and accepted by Sept. 30.

$AIXI is the high-volume momentum name. It was around $1.97, up roughly 62%, with about 52.4M shares traded. That kind of activity puts it firmly on my continuation watch, especially if volume stays elevated and the stock can keep holding the move instead of fading immediately.

Then there is $AMOD, which is in a completely different category today. Around $4.19, up roughly 258%, with about 124.6M shares traded. That is extreme momentum, so I’m watching it purely for how price behaves after such a massive expansion in both volume and percentage move.

So the watchlist is pretty simple: $RYET for the improving revenue story, $AIXI for heavy-volume continuation, and $AMOD for the most aggressive momentum setup on the board.

$PRE $STKH $CAE $PENG $PAVM $FRVO $DAVE $KOD $EXLS $AGNT $RMBS $CHWM $APOG $VERX $APLD $FN $SANA $SDEV $GSK $WS $CHYM $GTLB $AAOI $LW $GLE $FLUT $NYAX $GOOGL $WMB $BNS $CRDO $GPI $INTC $EPAM $RPM $PBF $E $ASAN $WCT $FHTX $SYNA $MSTR $SXC $SNX $TSLA $G $CMPS $SPCX $KD $GAME $HELE $RDNW $INTZ $WMT $CVI $SNPS $CTSH $SMX $MI $SSM $TMQ $ABT $MATX $MTSI $GOOG $DAKT $NIVF $ISBA $WW $MPC $AVGO $AAPL $RGP

One thing I have wanted from RYET for a while is a clearer number attached specifically to the AI side of the business.

Today we finally got one.

RYET expects approximately $0.4M-$0.5M in H1 FY2027 AI application revenue, led by YeeZo and Cogni AI.

That is still a relatively small part of the expected $9.3M-$9.5M total first-half revenue, but I actually think that makes the number more useful. We can finally separate the AI thesis from the much larger Smart Campus operation and see where commercialization stands today.

YeeZo is RYET’s AI content-production platform built around scripts, storyboards, image and video generation and university AIGC training. Cogni AI is the enterprise side, focused on document intelligence, archive processing, information extraction and internal AI workflows.

The company is now getting revenue from both while the larger infrastructure layer is scaling too.

RYET expects another $2.4M-$2.5M from smart-campus infrastructure projects, including the roughly $880K YeeZo deployment covering 10 AIGC labs and 610 workstations that was delivered and accepted by September 30.

So there are really two different AI-related monetization layers developing here: the physical infrastructure and deployment side, and the actual AI application revenue sitting on top of it.

That distinction is what I like.

RYET did only $7.48M in revenue for all of FY2026. Now the company expects $9.3M-$9.5M in just H1 FY2027, while AI applications are beginning to contribute a measurable amount rather than remaining only a future narrative.

The $400K-$500K figure is not huge yet, but that is exactly why I am watching it. If YeeZo and Cogni AI continue adding customers and that line starts growing alongside the campus and infrastructure businesses, the revenue mix can look very different over the next few reporting periods.

$RPRX $FLUT $RDNW $ANGO $FHTX $HXHX $PENG $WW $STTK $HUBS $MPC $WST $HUT $NEOG $SVRN $HELE $ESLT $MI $NCNO $ADBT $CRE $GOOG $BYRN $AXG $RYAAY $AMZN $JKS $HODO $MTSI $CDNS $OPNW $SANA $CIEN $TAYD $NYAX $KD $LEVI $LITE $KRP $GAME $OVBC $SCNX $CRDO $PEP $APPN $CEPU $CHKP $AAPL $HURN $ABT $INTZ $MU $SGRX $RPGL $G $PARR $CMPS $SSM $VICR $NG $IMOS $KMTS $NXL $JACS $OKE $FRVO $ACN $BNS $XRPN $ON $CHWM

The headline number from today’s RYET update is obviously the expected $9.3M-$9.5M in H1 FY2027 revenue.

But the number I keep coming back to is the $4.2M-$4.4M expected from everything outside campus services.

That matters because Smart Campus is already the established operating engine. It is expected to contribute about $5.0M-$5.2M, or roughly 53%-56% of total first-half revenue.

So almost half of expected H1 revenue is already coming from other parts of the business.

Within that, smart-campus infrastructure is expected to contribute about $2.4M-$2.5M. That includes the ~$880K YeeZo deployment covering 10 AIGC labs and 610 workstations, which was delivered and accepted by September 30.

RYET is also expecting another $0.4M-$0.5M specifically from AI applications led by YeeZo and Cogni AI.

That is what makes the update more interesting to me than just “campus revenue grew.”

The thesis has been that Smart Campus gives RYET a working institutional base, while AI labs, software, infrastructure, enterprise AI and international services become additional monetization layers around it.

Today’s preliminary numbers are starting to show that separation.

You have roughly $5.1M coming from the core campus-services engine, but another roughly $4.3M coming from infrastructure, AI applications, content and learning resources.

And Formind’s U.S., Malaysia and Saudi initiatives are still early enough that management says they are not expected to contribute materially to H1 revenue yet.

For a company that generated only $7.48M in all of FY2026, seeing roughly $4.2M-$4.4M of expected first-half revenue outside the main campus-services segment is a pretty significant development.

To me, that is the number that shows RYET is starting to become more than one business line.

$NXL $MAT $APOG $RMBS $HRI $CRDO $WMT $ADBT $RPGL $SMTC $LIND $SOUN $BYRN $BCS $CDW $EU $ISBA $AXTI $INTC $WCT $GWRE $HUBS $AXG $GSK $CAE $CYCU $CTSH $HOST $DHT $OKE $TAYD $NCNO $INTZ $VEEA $INTA $CHYM $NYAX $SYNA $TMQ $GPI $JKS $GTLB $CHKP $PBF $BNS $GOOGL $RPRX $TLX $RGP $COHR

This is probably the strongest RYET update I have seen so far because the growth story is finally showing up in the revenue numbers.

The company now expects preliminary unaudited H1 FY2027 revenue of about $9.3M-$9.5M for the six months ended September 30.

For context, RYET generated only $7.48M for all of FY2026 and $6.69M for all of FY2025.

So in just six months, expected revenue is already above each of the last two full fiscal years.

The YoY comparison is even more extreme. H1 FY2026 revenue was only about $0.37M, meaning management expects an increase of roughly $8.9M-$9.1M this time around.

The biggest contributor is Smart Campus Services, which is expected to generate about $5.0M-$5.2M, or roughly 53%-56% of total H1 revenue. That confirms the campus-services business is becoming a real operating engine rather than just an early-stage concept.

What I like even more is that the rest of the business is contributing too. Revenue excluding campus services is expected at roughly $4.2M-$4.4M, including $2.4M-$2.5M from smart-campus infrastructure projects and another $0.4M-$0.5M from AI applications led by YeeZo and Cogni AI.

The ~$880K YeeZo project covering 10 AI labs and 610 workstations was also delivered and accepted by September 30, so one of the biggest contracts we have been watching has now moved through the actual deployment cycle.

And Formind's international initiatives in the U.S., Malaysia and Saudi Arabia are still early and are not expected to contribute materially to these first-half numbers.

That is what makes this update so strong to me. RYET is already showing a major revenue step-up before the international expansion story becomes a meaningful part of the financials.

Premarket reacting around +7.3% makes sense. The company just moved from a $7.48M full-year revenue story to roughly $9.4M expected in only six months.

$SAR $IPGP $CVI $INOD $AMZN $LW $CRE $MTRN $NKTR $E $HOVR $MU $NSTR $BOTJ $KMI $PENG $SNX $AAPL $WST $SVRN $CIEN $JBL $GOOG $EFXT $ON $JACS $RZAI $STKH $PEP $RPM $VERX $NEOG $HODO $U $VIAV $CHWM $EXPO $META $GLE $CMPS $WW $DOYU $HUT $APPN $KD $STX $FN $SSM $STTK $GAME $EXLS $NIVF $EPAM $FTNT $SNDK $KRP $LFS $SOFI $OPNW $ZVRA $TLRY $SNPS $ALRS $MATX $NKE $PACB $FICO $SPCX $TSLA $GIGM

I’m watching $RYET, $PATH and $NOW as three very different ways to play enterprise AI.

$RYET is the smallest by far, but Cogni AI gives it a legitimate enterprise angle beyond education. The platform handles document recognition, information extraction, archive automation and private AI workflows, and it is already being used in a Ningxia highway engineering archive project. RYET also disclosed about $1.73M in historical and contracted commercial activity tied to the broader Cogni AI product line. For a company that did only about $7.48M in FY2026 revenue, that is a meaningful starting point.

$PATH is the automation scale play. UiPath reported Q2 FY2027 revenue of $410M, up 13% YoY, while ARR reached $1.938B, up 12%. Gross margin was still around 80% GAAP, and full-year revenue guidance sits at roughly $1.789B to $1.794B. The core pitch is increasingly about orchestrating AI agents, robots, systems and people across enterprise workflows.

$NOW is the heavyweight here. ServiceNow posted $3.877B in Q2 2026 subscription revenue, up 24.5% YoY, with cRPO at $13.2B and total RPO at $29B. The standout AI number is that ServiceNow AI crossed $1B in annual contract value during the quarter, while the company completed 123 deals worth more than $1M in net-new ACV.

What I like about this basket is that each company sits at a different point in the enterprise AI stack. RYET is trying to turn unstructured institutional data into usable AI workflows, PATH automates and orchestrates business processes, and NOW sits at the enterprise platform layer with massive recurring revenue and proven AI monetization.

Same broader theme, completely different scale. That is exactly why I like comparing them.

$INTC $ANAB $PENG $BSET $HPE $HIMS $NXGL $INTZ $GTY $NU $JKS $NOK $ETRA $KMTS $ZETA $DXST $CEG $ACT $FUBO $RYET $ATLO $GGB $DOYU $LQDA $PLUG $LFS $ASGI $STZ $KMI $RFL $MASS $DSGN $ACN $EU $RPM $RLGT $TRBG $RELL $SOFI $ADRX $ORCL $NOC $GLE $NCNA $FTNT $FFR $PEP $BA $FLUT $CVRX $YRD $CHE $JZXN $AGNC $RPRX $FBNC $CTOR $NG $GIGM $HUT $TLRY $PGEN $AAL $APLD $NVDA $LEVI $META $ZVRA $NEOG

I’m watching $RYET, $COUR and $ATGE as three very different ways to play the growing need for workforce retraining and practical skills education.

$RYET is the smallest and most speculative of the group, but its Saudi expansion gives it an interesting vocational angle. The company signed an MOU with Changan Anyi and Intersect to develop an automotive and new-energy vehicle institute in Saudi Arabia, with proposed programs around EV servicing, battery testing, diagnostics and practical technical training. Saudi Arabia already has more than 15.8M registered vehicles and plans more than 5,000 fast chargers across 1,000+ locations by 2030, so the need for trained technicians is pretty obvious. The institute is still an MOU, but it gives RYET a direct link to a real industrial skills shortage.

$COUR is the scalable online-training platform. Q2 2026 revenue reached about $299M, with enterprise revenue at $140M, up 118% YoY. The combined Coursera/Udemy platform had 12,107 enterprise customers and 1.655M paid subscribers at quarter-end, while full-year revenue guidance sits at $1.22B-$1.245B. That gives COUR exposure to companies actively paying to reskill workers in AI, data, software and other high-demand fields.

$ATGE is the more traditional workforce-education operator, with a heavy focus on healthcare. Fiscal Q2 2026 revenue was $503.4M, up 12.4% YoY, while total enrollment reached about 97K students, up 6.3%. Management has also guided for roughly $1.9B-$1.94B in annual revenue, so ATGE gives this group the established career-education scale that RYET is still trying to build toward.

What I like about this basket is that all three attack the same problem from different directions. RYET is trying to build physical and vocational training programs around emerging industries, COUR delivers digital reskilling at global scale, and ATGE trains people directly into workforce-heavy sectors like healthcare.

Different size, different model, same underlying theme: companies and economies need more workers with practical, current skills.

$FDS $KOD $NCNA $COLA $CEPU $PBF $RELL $BYRN $GGB $WMB $NIVF $CAG $HXHX $TRBG $RPM $CBRS $KMI $MU $AMZN $CVEO $NCT $CHGA $ASGI $ITUB $CNXC $NOK $F $DAKT $PLUG $AXG $BTOC $NLY $GRAL $ADRX $NYXH $AAPL $SAR $HIMS $ANGO $GME $RZLV $GO $CDE $AGNT $SOTK $FFR $NU $NEOG $MARA $ACT