Resources & Blog

The full arc of the exploration, from bare-bones style probes through watercolor portraits, the pivot to faceless silhouettes, and the final orthogonal blocks.

AI avatars without the face

We used gpt-image-2 to generate placeholder avatars for people without photos. The watercolor portraits looked great, until we put them next to real prospects. A face next to a real name is a claim, and we had nothing true to claim. So we shipped a shape instead.
Ohad Eder-Pressman Ohad Eder-Pressman
Architecture diagram showing LLM output fanning into an event_candidates table, then a reconciliation pass with pickWinningAccount() producing one canonical row above two superseded rows.

Treat LLM Outputs As Candidates, Never As Facts

The fastest way to ship an unreliable AI product is to wire the model directly into your database. The model isn''t broken. The architecture is. Reliability in AI products is not a property of the model, it''s a property of the layer above the model.
Ohad Eder-Pressman Ohad Eder-Pressman
Illustration with a central hub connected to multiple points

Introducing The First AI-Native Signal Platform

The hardest problem in AI isn't the model, it's finding the signal in the noise, for your business specifically. Today we're introducing Trayo: always-on AI agents that surface real buying moments before your competitors notice.
Alona Nadler Alona Nadler
Illustration with a central hub connected to multiple points

Context Is a Lens

For the last decade, the Holy Grail of B2B sales has been the “Single Source of Truth”. We convinced ourselves that if we could just build the perfect Ideal Customer Profile (ICP), enrich our CRM with enough data points, and achieve a “360-degree view” of the customer, revenue would become predictable.
Ohad Eder-Pressman Ohad Eder-Pressman
A smooth gradient transitioning from purple to warm orange tones

The Autonomous GTM Execution Layer

Your largest competitor had a temporary outage. For 48 hours, the market was open. But seizing that window required assembling lists, pulling CRM data, coordinating teams, and drafting outreach before it closed.
Alona Nadler Alona Nadler
A smooth gradient transitioning from purple to warm orange tones

What It Takes to Build Autonomous Revenue Motions

If autonomy were simple, everyone would have it. They don’t. Because autonomy is not about large databases and automated workflows. Autonomy is non-deterministic, implying judgment and understanding across the entire market. Knowing what matters, when to act, and what to do when an ephemeral moment presents itself.
Alona Nadler Alona Nadler

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