The cost of completing a task matters more than the raw intelligence of the model running it.
That’s the thesis behind TwIL-8B, our new 8.8B reasoning model. Open weights. Runs on hardware you already own.
Against Qwen3.5-9B, it opens a 16-point lead on LiveCodeBench (81.6 vs (98.2 vs 96.6). Against Gemma 4 31B, 4x the size, it still wins on MATH-500 (98.2 vs 87.9) and AIME 2025 (88.3 vs 87.1).
Tiny by frontier standards. Does the reasoning work anyway.
Download the model on @huggingface: huggingface.co/webAI-Official…
That’s the thesis behind TwIL-8B, our new 8.8B reasoning model. Open weights. Runs on hardware you already own.
Against Qwen3.5-9B, it opens a 16-point lead on LiveCodeBench (81.6 vs (98.2 vs 96.6). Against Gemma 4 31B, 4x the size, it still wins on MATH-500 (98.2 vs 87.9) and AIME 2025 (88.3 vs 87.1).
Tiny by frontier standards. Does the reasoning work anyway.
Download the model on @huggingface: huggingface.co/webAI-Official…
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Base-conversion arithmetic breaks most small reasoning models.
There’s no base-10 shortcut, so every carry has to be worked through directly in the target base. Most small models skip the carry logic, or convert back to base-10 at the end and hope.
TwIL-LM3-Pro doesn’t. It target base and holds state across the derivation.
The same pattern shows up across our full formal logic suite. TwIL-LM3-Pro leads every model we tested on in-domain formal logic, including Qwen3-8B at 2x the parameters, gpt-oss-120b at 33x the parameters, and both VibeThinker variants.
A 3.66B model built for formal reasoning, beating models 33x its size at it.
And even on held-out general reasoning benchmarks we didn’t build for, it stays competitive with those same larger models.
Pattern matching gets you fluent answers. Formal reasoning gets you right ones.
Open weights, runs locally.
Download the model on @huggingface: huggingface.co/webAI-Official…
There’s no base-10 shortcut, so every carry has to be worked through directly in the target base. Most small models skip the carry logic, or convert back to base-10 at the end and hope.
TwIL-LM3-Pro doesn’t. It target base and holds state across the derivation.
The same pattern shows up across our full formal logic suite. TwIL-LM3-Pro leads every model we tested on in-domain formal logic, including Qwen3-8B at 2x the parameters, gpt-oss-120b at 33x the parameters, and both VibeThinker variants.
A 3.66B model built for formal reasoning, beating models 33x its size at it.
And even on held-out general reasoning benchmarks we didn’t build for, it stays competitive with those same larger models.
Pattern matching gets you fluent answers. Formal reasoning gets you right ones.
Open weights, runs locally.
Download the model on @huggingface: huggingface.co/webAI-Official…
LLMs are getting more rambly. We built TwIL-LM3-Pro to go the other way.
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
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AI shouldn’t think for you. It should help you think for yourself.
The things that make your work different, the things that make it worth paying attention to, aren’t on the internet. They live in you.
That’s what webAI is built on: webai.com/waitlist
The things that make your work different, the things that make it worth paying attention to, aren’t on the internet. They live in you.
That’s what webAI is built on: webai.com/waitlist
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Most of the AI conversation is about scale. Bigger models, more parameters, longer context windows. The assumption being that bigger is smarter.
We’ve been building toward the opposite.
TwIL-LM3-Pro is a 3.6B reasoning model that handles formal problems models 7 to 10x its size uns on a laptop.
Small isn’t a compromise. For the problems we care about, it’s the point.
A model that fits in RAM, answers in seconds, and can be understood end to end gets us closer to what AI should actually be: specialized, local, and yours.
Download the model on @huggingface: huggingface.co/spaces/webAI-O…
We’ve been building toward the opposite.
TwIL-LM3-Pro is a 3.6B reasoning model that handles formal problems models 7 to 10x its size uns on a laptop.
Small isn’t a compromise. For the problems we care about, it’s the point.
A model that fits in RAM, answers in seconds, and can be understood end to end gets us closer to what AI should actually be: specialized, local, and yours.
Download the model on @huggingface: huggingface.co/spaces/webAI-O…
LLMs are getting more rambly. We built TwIL-LM3-Pro to go the other way.
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
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How does a 3B parameter model compete with frontier models?
In our latest video, our Intelligence Lab team walks through how they built the TwIL reasoning models. The thesis behind formal reasoning, the moment that reshaped their data pipeline, and where the lab is headed next.
webai.com/blog/inside-th…
In our latest video, our Intelligence Lab team walks through how they built the TwIL reasoning models. The thesis behind formal reasoning, the moment that reshaped their data pipeline, and where the lab is headed next.
webai.com/blog/inside-th…
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We ran TwIL on a CPU with 15 GiB of RAM. No GPU. It generated tokens 98x faster than Qwen3.8-27B on the same hardware.
The test:
- Intel Xeon CPU, 4 threads
- 15 GiB RAM
- No GPU
Results:
- TwIL-LM3-Pro (2.24 GB weights): 10.47 tokens per second
- Qwen3.5-9B (5.67 GB weights): - Qwen3.8-27B (16.45 GB weights): 0.107 tokens per second
TwIL and Qwen 9B both run at the RAM's memory limit of about 24 GB/s. Qwen 9B is 2.4x slower only because its weights are 2.5x larger.
Qwen 27B's 16.45 GB of weights don't fit in the 15 GiB of RAM. Parts have to be re-read from disk for every token. Size alone would make it 7.3x slower. The disk reads add another 13x. Total: 98x slower than TwIL.
With enough RAM, the gap would shrink to about 7x. But most people don't have unlimited RAM, and most people don't have a top-tier GPU. The model you can actually fit matters more than the one you can't.
Download TwIL-LM3-Pro on @huggingface: huggingface.co/webAI-Official…
The test:
- Intel Xeon CPU, 4 threads
- 15 GiB RAM
- No GPU
Results:
- TwIL-LM3-Pro (2.24 GB weights): 10.47 tokens per second
- Qwen3.5-9B (5.67 GB weights): - Qwen3.8-27B (16.45 GB weights): 0.107 tokens per second
TwIL and Qwen 9B both run at the RAM's memory limit of about 24 GB/s. Qwen 9B is 2.4x slower only because its weights are 2.5x larger.
Qwen 27B's 16.45 GB of weights don't fit in the 15 GiB of RAM. Parts have to be re-read from disk for every token. Size alone would make it 7.3x slower. The disk reads add another 13x. Total: 98x slower than TwIL.
With enough RAM, the gap would shrink to about 7x. But most people don't have unlimited RAM, and most people don't have a top-tier GPU. The model you can actually fit matters more than the one you can't.
Download TwIL-LM3-Pro on @huggingface: huggingface.co/webAI-Official…
LLMs are getting more rambly. We built TwIL-LM3-Pro to go the other way.
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
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Base-7 arithmetic is a brutal test for small models.
There's no base-10 shortcut, so every carry has to be reasoned through directly in the target base. Most 3B models either skip the carry logic or hallucinate the conversion back to base-10 at the end.
TwIL-LM3-Pro arry mid-trace inside <think>. 3.6B parameters, running locally.
Final: 114₇ = 60₁₀.
Try it on @huggingface: huggingface.co/webAI-Official…
There's no base-10 shortcut, so every carry has to be reasoned through directly in the target base. Most 3B models either skip the carry logic or hallucinate the conversion back to base-10 at the end.
TwIL-LM3-Pro arry mid-trace inside <think>. 3.6B parameters, running locally.
Final: 114₇ = 60₁₀.
Try it on @huggingface: huggingface.co/webAI-Official…
LLMs are getting more rambly. We built TwIL-LM3-Pro to go the other way.
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
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LLMs are getting more rambly. We built TwIL-LM3-Pro to go the other way.
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
Less than half the tokens of VibeThinker-3B and Qwen3-8B. 1.7x and 5.4x faster answers on general reasoning benchmarks.
Full benchmarks: webai.com/blog/meet-twil…
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"A general model is only the beginning. Individuals and organizations need intelligence deeply specialized to them." — @Davidstout
Today we're partnering with Forge to bring private, specialized AI to enterprise customers.
Read the announcement: webai.com/blog/webai-lan…
Today we're partnering with Forge to bring private, specialized AI to enterprise customers.
Read the announcement: webai.com/blog/webai-lan…
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Introducing webAI Frontline.
Server-class AI. Running on a single iPad.
Every technical industry runs on documents nobody can actually search. Manuals, procedures, regulations that go thousands of pages deep. Frontline turns them into an expert you can talk to. Ask a question ed to the exact page it came from. Fully offline, running on the device in your hand.
AI that works where the work happens.
Explore Frontline: webai.com/platform/front…
Server-class AI. Running on a single iPad.
Every technical industry runs on documents nobody can actually search. Manuals, procedures, regulations that go thousands of pages deep. Frontline turns them into an expert you can talk to. Ask a question ed to the exact page it came from. Fully offline, running on the device in your hand.
AI that works where the work happens.
Explore Frontline: webai.com/platform/front…
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TwIL-LM3 has been downloaded nearly 80,000 times since we released it.
TwIL-LM3 judges reasoning. Give it a chain of logic and it can tell you whether the conclusion follows and the proof steps hold up, then explain in plain English. Specialist models like this usually run in 3 can work directly with people while still handling the formal reasoning underneath.
Here's where developers, researchers, and teams are using it:
Judgment tasks — deciding whether a logical claim or proof step actually holds up rather than just sounding convincing.
Mixed products — anywhere the same interface needs to answer everyday questions AND handle formal reasoning without switching models.
Explanations — turning the output of a solver or formal reasoner into something a person can understand.
TwIL-LM3 doesn't replace a real verifier for safety-critical work, but for everything else it gives you a checkable answer.
It's fast, concise, and runs on your device.
Get the model on @huggingface: huggingface.co/webAI-Official…
TwIL-LM3 judges reasoning. Give it a chain of logic and it can tell you whether the conclusion follows and the proof steps hold up, then explain in plain English. Specialist models like this usually run in 3 can work directly with people while still handling the formal reasoning underneath.
Here's where developers, researchers, and teams are using it:
Judgment tasks — deciding whether a logical claim or proof step actually holds up rather than just sounding convincing.
Mixed products — anywhere the same interface needs to answer everyday questions AND handle formal reasoning without switching models.
Explanations — turning the output of a solver or formal reasoner into something a person can understand.
TwIL-LM3 doesn't replace a real verifier for safety-critical work, but for everything else it gives you a checkable answer.
It's fast, concise, and runs on your device.
Get the model on @huggingface: huggingface.co/webAI-Official…
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Episode 6 of The Block.
This week we're walking with Yash Sinha, Forward Deployed Engineer at webAI.
We talked about his work on the webAI app and client rollouts, plus why he's excited about foundation models used beyond language. Then even more caffeine at Fleet Coffee. ☕
This week we're walking with Yash Sinha, Forward Deployed Engineer at webAI.
We talked about his work on the webAI app and client rollouts, plus why he's excited about foundation models used beyond language. Then even more caffeine at Fleet Coffee. ☕
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Huge congratulations to Jason Rathje, President of our Public Sector team, for being named to the @Forbes 250 Most Successful Living Veterans list. 🎖️
See the full list: forbes.com/sites/alexknap…
See the full list: forbes.com/sites/alexknap…
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webAI-ColVec1.1 is here.
New SOTA on ViDoRe V3. 75% smaller embeddings. 4x less compute per query. OCR-free visual document retrieval.
Multi-vector late interaction over rendered pages preserves tables, figures, and layout signals that single-vector embeddings destroy.
Full ps://t.co/0no6IBxzqj
New SOTA on ViDoRe V3. 75% smaller embeddings. 4x less compute per query. OCR-free visual document retrieval.
Multi-vector late interaction over rendered pages preserves tables, figures, and layout signals that single-vector embeddings destroy.
Full ps://t.co/0no6IBxzqj
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Episode 4 of The Block.
This week we're walking with Dani Wolesensky, Business Ops Program Manager at webAI.
We talked about how she supports teams across the org and how she sees AI helping people move faster. Then pastries at Swedish Hill Bakery. 🥐
See you on the next one!
This week we're walking with Dani Wolesensky, Business Ops Program Manager at webAI.
We talked about how she supports teams across the org and how she sees AI helping people move faster. Then pastries at Swedish Hill Bakery. 🥐
See you on the next one!
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"You're absolutely right!"
If you use frontier LLMs, you've heard this a lot.
But over time, you start to wonder. Can you actually trust a model that abandons a correct answer the moment you push back?
Why this matters more than you think: webai.com/blog/sycophant…
If you use frontier LLMs, you've heard this a lot.
But over time, you start to wonder. Can you actually trust a model that abandons a correct answer the moment you push back?
Why this matters more than you think: webai.com/blog/sycophant…
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The real cost of your cloud AI subscription isn't the API bill.
It's everything you could have built if you weren't renting intelligence.
Rented AI does the same job every month. Owned intelligence gets more valuable over time.
More on the real cost of renting intelligence: webai.com/blog/the-hidde…
It's everything you could have built if you weren't renting intelligence.
Rented AI does the same job every month. Owned intelligence gets more valuable over time.
More on the real cost of renting intelligence: webai.com/blog/the-hidde…
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AI policy should not be defined only by what frontier labs, cloud platforms, and centralized model providers believe is best.
webAI has a different view: ownership, local control, distributed intelligence, practical deployment, and a focus on the people and institutions AI is what we think AI policy should stand for:
– Empowerment over extraction
– Control belongs with the user
– The strongest intelligence is distributed and specialized
– AI should be a utility for everyday work and life
– AI policy should reward practical, broadly shared value
Read the full piece: webai.com/blog/what-weba…
webAI has a different view: ownership, local control, distributed intelligence, practical deployment, and a focus on the people and institutions AI is what we think AI policy should stand for:
– Empowerment over extraction
– Control belongs with the user
– The strongest intelligence is distributed and specialized
– AI should be a utility for everyday work and life
– AI policy should reward practical, broadly shared value
Read the full piece: webai.com/blog/what-weba…
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Intelligence is getting smaller.
Our CEO @Davidstout was featured in @theinformation on why the data center boom is a mistake and where AI is actually headed.
"Data centers won't disappear, but the majority of work will happen at the edge. Apple made the bet correctly there."
theinformation.com/articles/apple…
Our CEO @Davidstout was featured in @theinformation on why the data center boom is a mistake and where AI is actually headed.
"Data centers won't disappear, but the majority of work will happen at the edge. Apple made the bet correctly there."
theinformation.com/articles/apple…
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"Any time you centralize power, data, and now artificial intelligence, you create an acute threat for our adversaries."
Our President of Public Sector Jason Rathje was on @CNN This Morning talking about AI data centers, the strain they're putting on communities, and what a real
Our President of Public Sector Jason Rathje was on @CNN This Morning talking about AI data centers, the strain they're putting on communities, and what a real
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🏆 Austin track: Autonomous Rotato by Kasif Gilbert
A combat robot that uses YOLO26 to autonomously chase an RC truck around an arena. Built for Austin's Weaponized Plastic league.
youtube.com/watch?v=5St4Z0…
A combat robot that uses YOLO26 to autonomously chase an RC truck around an arena. Built for Austin's Weaponized Plastic league.
youtube.com/watch?v=5St4Z0…
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Our YOLO26 MLX Build Challenge kicked off this week.
Thanks to our co-hosts HackAI, AITX, and Antler for hosting us in Austin.
7 days. 4 tracks. $4,000 in prizes. Open to anyone in the US.
Submissions due Sunday May 24.
Full brief and how to enter: community.webai.com/t/the-yolo26-m…
Thanks to our co-hosts HackAI, AITX, and Antler for hosting us in Austin.
7 days. 4 tracks. $4,000 in prizes. Open to anyone in the US.
Submissions due Sunday May 24.
Full brief and how to enter: community.webai.com/t/the-yolo26-m…
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Our first open source build challenge starts Monday.
7 days. 4 tracks. $4K in prizes. Build something with YOLO26 MLX, our open source object detection model built for Apple Silicon.
Two kickoff events in Austin:
🗓 Mon 5/18 with Hack AI (Capital Factory): luma.com/io3nuky7
🗓 Tue 5/19 with @aitxcommunity + @AntlerGlobal: luma.com/webai-yolo
Full brief and how to join: webai.discourse.group/t/the-yolo26-m…
7 days. 4 tracks. $4K in prizes. Build something with YOLO26 MLX, our open source object detection model built for Apple Silicon.
Two kickoff events in Austin:
🗓 Mon 5/18 with Hack AI (Capital Factory): luma.com/io3nuky7
🗓 Tue 5/19 with @aitxcommunity + @AntlerGlobal: luma.com/webai-yolo
Full brief and how to join: webai.discourse.group/t/the-yolo26-m…
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The Sovereign AI House at SXSW 2026.
Thank you to everyone who joined us. Our partners at Qwake Technologies, Oxcart Ventures, @aitxcommunity, and @AntlerGlobal. And to our incredible team at webAI who made it all happen.
What a week.
Thank you to everyone who joined us. Our partners at Qwake Technologies, Oxcart Ventures, @aitxcommunity, and @AntlerGlobal. And to our incredible team at webAI who made it all happen.
What a week.
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Day 2 at the Sovereign AI House at SXSW.
Here's what's on deck.
→ Building AI Women Can Trust with Oura at 12:00 PM
→ The Next Industrial Revolution Is AI at w/ @ldcovert 2:00 PM
→ Technical Deep Dive at 3:15 PM
→ Happy hour and networking from 4:00 to 6:00 PM
Come close //t.co/JHmeDYIgQM
Here's what's on deck.
→ Building AI Women Can Trust with Oura at 12:00 PM
→ The Next Industrial Revolution Is AI at w/ @ldcovert 2:00 PM
→ Technical Deep Dive at 3:15 PM
→ Happy hour and networking from 4:00 to 6:00 PM
Come close //t.co/JHmeDYIgQM
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The tools firefighters carry into burning buildings haven't meaningfully changed in decades.
We're partnering with Qwake Technologies to change that.
Qwake puts sensors and AI directly on firefighters and vehicles, giving incident commanders real-time intelligence from inside ronments on earth.
Together, we're building predictive AI for the fireground. Edge intelligence that helps fire departments get ahead of critical incidents before they escalate.
Read the full announcement: webai.com/blog/webai-and…
We're partnering with Qwake Technologies to change that.
Qwake puts sensors and AI directly on firefighters and vehicles, giving incident commanders real-time intelligence from inside ronments on earth.
Together, we're building predictive AI for the fireground. Edge intelligence that helps fire departments get ahead of critical incidents before they escalate.
Read the full announcement: webai.com/blog/webai-and…
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Day 1 at the Sovereign AI House at SXSW. Let's go.
→ "Who Owns Your AI? Probably Not You" keynote with David Stout at The LINE Hotel at 10 AM
→ First public demo of the webAI platform with Tyler Mauer at 12 PM
→ AI in Mission-Critical Environments with Sam Cossman and Anuneet our at 4 PM
webai.com/events/sxsw/20…
→ "Who Owns Your AI? Probably Not You" keynote with David Stout at The LINE Hotel at 10 AM
→ First public demo of the webAI platform with Tyler Mauer at 12 PM
→ AI in Mission-Critical Environments with Sam Cossman and Anuneet our at 4 PM
webai.com/events/sxsw/20…
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Monday at SXSW.
Our CEO David Stout takes the stage at The LINE Hotel.
"Who Owns Your AI? Probably Not You."
Most AI today is rented intelligence. Your data goes in, someone else keeps the value. David is going to lay out why that model is broken and what replaces it.
📅 he LINE Hotel
Register now: luma.com/xmlicmts
Our CEO David Stout takes the stage at The LINE Hotel.
"Who Owns Your AI? Probably Not You."
Most AI today is rented intelligence. Your data goes in, someone else keeps the value. David is going to lay out why that model is broken and what replaces it.
📅 he LINE Hotel
Register now: luma.com/xmlicmts
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On Monday at SXSW, our CPO Tyler Mauer is publicly demonstrating the next evolution of the webAI platform for the first time.
A fundamentally different model for how AI apps are built and deployed. No cloud dependency. No external data transfer. Full control.
If you work in handle sensitive data, or care about sovereignty and ownership, this session is for you.
📅 March 16 • 12 PM CT
📍 Sovereign AI House
Register here: luma.com/2ga13u0e
A fundamentally different model for how AI apps are built and deployed. No cloud dependency. No external data transfer. Full control.
If you work in handle sensitive data, or care about sovereignty and ownership, this session is for you.
📅 March 16 • 12 PM CT
📍 Sovereign AI House
Register here: luma.com/2ga13u0e
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What does it take to deploy AI where lives are on the line?
Qwake Technologies builds systems that help firefighters navigate zero-visibility environments. Technology that has to work, on-device, in real time, with no margin for error.
On Monday at the Sovereign AI House, Qwake wn with our CMO Anuneet Kumar for an unscripted conversation on building and deploying AI in mission-critical environments.
📅 March 16 • 2 PM CT
📍 Sovereign AI House
Register: luma.com/ug87ehj2
Qwake Technologies builds systems that help firefighters navigate zero-visibility environments. Technology that has to work, on-device, in real time, with no margin for error.
On Monday at the Sovereign AI House, Qwake wn with our CMO Anuneet Kumar for an unscripted conversation on building and deploying AI in mission-critical environments.
📅 March 16 • 2 PM CT
📍 Sovereign AI House
Register: luma.com/ug87ehj2
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We're kicking off SXSW with @AITXcommunity and @AntlerGlobal today.
→ Texas Unicorns panel with Mike Morin at 1:00 PM
→ Engineering AI Beyond the Cloud with Tyler Mauer and Hossein Moghimifam at 2:00 PM
→ SXSW AI Innovation Happy Hour at JW Marriott at 4:00 PM
Full schedule ://t.co/JHmeDYIOGk
→ Texas Unicorns panel with Mike Morin at 1:00 PM
→ Engineering AI Beyond the Cloud with Tyler Mauer and Hossein Moghimifam at 2:00 PM
→ SXSW AI Innovation Happy Hour at JW Marriott at 4:00 PM
Full schedule ://t.co/JHmeDYIOGk
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Most AI today is rented intelligence.
Your ideas, workflows, and data get fed into centralized systems that learn from your input and keep the value.
At SXSW, our CEO David Stout is taking the stage to explain why this model is fundamentally flawed and what replaces it.
📅 he LINE Hotel
Register here: luma.com/xmlicmts
Your ideas, workflows, and data get fed into centralized systems that learn from your input and keep the value.
At SXSW, our CEO David Stout is taking the stage to explain why this model is fundamentally flawed and what replaces it.
📅 he LINE Hotel
Register here: luma.com/xmlicmts
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When your product involves people's health data, the AI conversation changes.
Oura has now sold more than 5.5 million rings worldwide, which means millions of people trust the company with deeply personal biometric data every night.
At SXSW, Tom Hale (Oura) and David Stout what it takes to build AI systems people actually trust, and why custom, local models are becoming part of that answer.
📅 March 18 • 2:30 PM CT
🎙️ Moderated by Harriet Torry (WSJ)
Register here: schedule.sxsw.com/events/PP11623…
Oura has now sold more than 5.5 million rings worldwide, which means millions of people trust the company with deeply personal biometric data every night.
At SXSW, Tom Hale (Oura) and David Stout what it takes to build AI systems people actually trust, and why custom, local models are becoming part of that answer.
📅 March 18 • 2:30 PM CT
🎙️ Moderated by Harriet Torry (WSJ)
Register here: schedule.sxsw.com/events/PP11623…
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If you're at SXSW in Austin next week, the Sovereign AI House is where you want to be on Monday and Tuesday.
Sessions at our office at 515 Congress Ave that you won't find anywhere else at SXSW. Limited seats.
Day 1: webai.com/events/sxsw/20…
Sessions at our office at 515 Congress Ave that you won't find anywhere else at SXSW. Limited seats.
Day 1: webai.com/events/sxsw/20…
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The Sovereign AI House. SXSW 2026. Austin.
Keynotes. Live product demos. Firesides. Panels. Happy hours. We'll be across Austin from March 13 to 18.
Full schedule and registration: webai.com/events/sxsw/20…
Full breakdown ↓
Keynotes. Live product demos. Firesides. Panels. Happy hours. We'll be across Austin from March 13 to 18.
Full schedule and registration: webai.com/events/sxsw/20…
Full breakdown ↓
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We're partnering with @owletbabycare to build sovereign AI infrastructure for infant health data.
For Owlet, that means their proprietary pediatric health and sleep data powers custom AI models that never leave their control.
No third-party cloud processing, just intelligence time while staying fully within their ecosystem.
The most sensitive data deserves the most secure AI.
For Owlet, that means their proprietary pediatric health and sleep data powers custom AI models that never leave their control.
No third-party cloud processing, just intelligence time while staying fully within their ecosystem.
The most sensitive data deserves the most secure AI.
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A single model trying to handle everything failed badly.
Building the fire suppression model for Springshot and Spirit Airlines meant handling messy data, wrong angles, bad lighting, and quality validation.
The solution: split it into two focused models.
Building the fire suppression model for Springshot and Spirit Airlines meant handling messy data, wrong angles, bad lighting, and quality validation.
The solution: split it into two focused models.
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"Where do we even start with AI?"
Every aviation leader asks this. The pressure is real, but you can't replace an entire ecosystem overnight.
The answer: start with targeted use cases that deliver value quickly.
3 practical starting points 👇
Every aviation leader asks this. The pressure is real, but you can't replace an entire ecosystem overnight.
The answer: start with targeted use cases that deliver value quickly.
3 practical starting points 👇
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100% adoption. In minutes.
We partnered with @springshot_com to deploy a safety-critical vision model across @SpiritAirlines' entire network in the time it takes to turn around one aircraft.
No training. No change management. Just instant adoption.
We partnered with @springshot_com to deploy a safety-critical vision model across @SpiritAirlines' entire network in the time it takes to turn around one aircraft.
No training. No change management. Just instant adoption.
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The best AI model is worthless if the people meant to use it find workarounds instead.
That was our constraint when we partnered with @springshot_com to build fire suppression line detection for Spirit Airlines.
Here's how we engineered it 👇
That was our constraint when we partnered with @springshot_com to build fire suppression line detection for Spirit Airlines.
Here's how we engineered it 👇
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Frontline workers can't wait.
That was our one constraint building fire suppression line detection with @springshot_com + @SpiritAirlines.
Two-stage vision architecture. Sub-second inference. Zero false positives. 100% adoption in one hour.
This is what engineering for ooks like.
Read the full breakdown: webai.com/blog/technical…
That was our one constraint building fire suppression line detection with @springshot_com + @SpiritAirlines.
Two-stage vision architecture. Sub-second inference. Zero false positives. 100% adoption in one hour.
This is what engineering for ooks like.
Read the full breakdown: webai.com/blog/technical…
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The future of aviation AI isn't one giant model. It's a network of specialized intelligence.
Fire suppression validation with @springshot_com was proof point #1. Real-time. Milliseconds. 100% adoption across Spirit Airlines.
What's next? Distributed AI for every critical aviation operation.
Fire suppression validation with @springshot_com was proof point #1. Real-time. Milliseconds. 100% adoption across Spirit Airlines.
What's next? Distributed AI for every critical aviation operation.
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