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Senso

@GoSenso

The trusted context layer for AI agents. Connecting enterprise knowledge with frontier intelligence across discovery, decisions and transactions.
Toronto | San Francisco senso.ai Joined March 2017
534 Following 483 Followers 569 Posts

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Senso @GoSenso
Excited to build what comes next with @ZetaGlobal.

The opportunity: connect frontier models and personal agents with trusted enterprise context, turning AI discovery into decisions, action and measurable business impact.

Thank you @dsteinberg10000 and Team Zeta. Let’s build. 🚀
David A Steinberg Verified account @dsteinberg10000 Oct 5
Today, @ZetaGlobal announced that is has agreed to acquire @GoSenso, an AI engineering company, that will bring exceptional talent and deeper connectivity to the frontier models and personal agents shaping how customers discover brands.

As models become increasingly ubiquitous, the advantage is in the infrastructure that turns AI into business impact. Senso helps power our Generative Engine Optimization (GEO) offering, giving brands insight into how they appear in AI answers.

A very busy week here at Zeta. Stay tuned for our 4 major announcements at Zeta Live. $zeta
LG 🚀🚀🚀

Read more here: businesswire.com/news/home/2026…
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Senso @GoSenso
What does an AI agent need before you trust it to spend real money?

That’s what hundreds of builders explored at the Agentic Commerce Hackathon.

159 projects shipped. 25+ built with Senso.

We broke down the winners and what they got right ↓
linkedin.com/pulse/we-spons…
www.linkedin.com We sponsored the Agentic Commerce Hackathon's Discovery & Trust track, and here's what we learned... Agents can reason. Now they can pay.
Senso @GoSenso
Try out Context OS. $100 free credits to build your self-healing knowledge base inspired for organizations and teams, inspired by @karpathy
Saroop Bharwani Verified account @saroopbharwani Apr 14
Your support bot, your website, and your sales team give three different answers. AI agents are now broadcasting that inconsistency at scale.

@karpathy just built a personal wiki using LLMs to solve this for himself. Called it "a hacky collection of scripts." Said there's room for an incredible new product.

We built it — for organizations. It's called Context OS.

When your agent gets it wrong, do you even know which source it pulled from?
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