Infrastructure for Enterprise World Models
The fastest
unified reasoning
cache for AI.
A fundamentally new memory primitive. AI agents understand your entire company without moving the underlying data.
Why Evokoa
Enterprise autonomy collapses at the execution layer.
The Problem
AI agents keep failing at the same step.
The agent doesn't know enough about the company. Vector search gives you meaning, not structure. Graph databases give you structure, but make you duplicate everything first. Neither works at scale.
The Insight
The data doesn't need to move.
We build a live topological shadow of your existing systems and load it into RAM. Your data stays exactly where it is. We just make it traversable.
The Result
Agents that reason in microseconds.
AI traverses millions of connections across your entire company without a single round-trip to a database. That's not a benchmark. That's the product.
20-hop traversal
Data movement
Time to deploy
Standard deviation
Performance
20 hops in 0.00019 seconds.
That's 190 microseconds to traverse 20 relationship hops across your entire enterprise graph. Most graph databases can't do 6 hops in under a second.
Initial benchmark results. We are continuing further testing and will publish full results soon.
20-hop traversal
From the blog
Thinking out loud for operators who think deeply.
The Product Was Never the Moat
We built an all-in-one AI workspace for enterprise operators. Then we noticed something: every serious customer and every developer we talked to kept asking for the same thing. Access to the layer underneath.
Why We Rebuilt From the Bare Metal
We benchmarked every major graph database against our workload. None of them could do what we needed at the latency AI agents require. So we wrote our own engine.
Why We're Building in the Open
Most startups hide their thinking until they have something polished to show. We're doing the opposite. Here's why we think that's the right call for where we are.
Get Started
Build on the reasoning layer.
Infrastructure for enterprise world models. Deploy in minutes, reason in microseconds.
Early access opens soon


