Sebastien Charroud @csebsc
VP Product @ webAI Michigan, USA Joined December 2009-
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New paper from @thewebAI shows a great way to make RAG much faster and more accurate by freezing a small language model, then only training a tiny adapter and a classifier head. Result: 99.95% top-1 with soft embeddings + classifier vs 12.36% for frozen LLM + MIPS, plus 2.62x…
We’re growing our public sector leadership with 5 key hires - Scott McKeever, Eric Volmar, Jared Evans, @rdhjr, & Ryan Castonia Together, we’re building AI that government agencies can fully own and operate - secure, mission-ready, and cloud-independent. This is trusted AI where…
We just published research that redefines what Retrieval-Augmented Generation (RAG) can be. Instead of patching today’s broken retrieval stack, we rebuilt it: ✅ Retrieval as learning — a classifier replaces heuristic vector search ✅ Soft embeddings — a tiny pre-block adapter…
webAI just became a finalist for 'Most Innovative AI Technology' at The @Cloud_Awards. The work our team has put into private AI infrastructure continues to get recognized.
Our VP of Business Development & Partnerships, Mike Morin, recently participated in a panel at FTE Global discussing how webAI is using on-device vision models and partnering with Southwest and Springshot to improve airline safety operations. ✈️ @FutureTravelX
Ai4 2025 in Las Vegas was incredible! Hundreds of people stopped by throughout the event. From the expo floor to live demos of Knowledge Graph RAG in action— here's what it looked like behind the scenes. Thanks to everyone who came by. Can't wait to see you at the next event!
Two things can be true: 1. Truth seeking is the purpose of scientific inquiry 2. A majority of science has been, strictly speaking, false
How do you actually win in the new AI world? We believe it comes down to three principles 👇
The vision is right— BUT the timeline doesn’t have to be “long term.” Enterprises are already running AI inference on edge devices today with webAI— no bandwidth limitations, no cloud dependencies, complete control.
The vision is right— BUT the timeline doesn’t have to be “long term.” Enterprises are already running AI inference on edge devices today with webAI— no bandwidth limitations, no cloud dependencies, complete control.
Exciting news— webAI is featured on The @Cloud_Awards shortlist for 'Most Innovative AI Technology'! Proud to be recognized for our work in private AI infrastructure alongside other innovative companies in the space.
Exactly this. The future of AI isn’t in massive cloud farms— it’s in distributed, private systems that keep your data where it belongs.
Exactly this. The future of AI isn’t in massive cloud farms— it’s in distributed, private systems that keep your data where it belongs.
We asked @davidpstout (Co-Founder & CEO, webAI) about the advantages of running AI on devices. "There's no free lunch, but there are things cloud players can't do. It's RAM intensive, yes, but by distributing across devices, we can unlock more accuracy and context. But if you're…
Our CEO @davidpstout is going live on @tbpn TODAY at 4:30 PM EST / 1:30 PM PST! He’ll be discussing enterprise AI, venture in tech, and Apple’s place in the AI ecosystem with hosts @johncoogan and @jordihays. Catch it live on: 📱 Apple – podcasts.apple.com/us/podcast/tbp… 🎧 Spotify –…
GPT-5 isn’t what we expected. On public benchmarks, 25–35% of failures weren’t random — they came from ambiguous, context-heavy tasks that monolithic models just can’t nail. This vision of “one giant brain for everything” is ending. The future? Networks of highly contextual…
Our CEO @davidpstout crushed his session at Ai4 in Las Vegas! 🎰 Great turnout and even better conversations. Stop by booth #221 to continue the discussion with David and the team.
webAI Knowledge modeling is next level. Same document, same system prompt. Also runs on local hardware.
@thewebAI is the future (now)
Read our full methodology: webai.com/blog/what-weba… Join our webinar August 27th, 2pm EST: us06web.zoom.us/webinar/regist…
We just hit 94% accuracy on RobustQA, beating industry standards. Traditional RAG chunks perfectly sized documents into small pieces, destroying context. We preserve complete documents instead. Better accuracy, complete context, more efficient storage.
Privacy by policy fails. Current AI lawsuits exposes it: user chats, even deleted ones, ordered for discovery despite “privacy” claims. Only privacy by design—data staying on your device protects you.

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