Manifesto

We are building the reasoning layer for enterprise AI.

Everyone is trying to make AI agents work in the enterprise. Most of them are failing at the same step: the agent doesn't know enough about the company to do anything useful.

Vector RAG is fast but structurally blind. GraphRAG tries to map context but collapses at scale. Manual engineering forces agents to operate on stale data. The solution isn't another database. It's a fundamentally new memory primitive that lets AI understand the entire company without moving the underlying data.

01

AI agents need a world model.

Vector search tells you what something means. It can't tell you how things are connected. Enterprise reality is structural. Foreign keys, hierarchies, dependencies. If your agent doesn't have a map of the whole company, it's guessing.

02

The data doesn't need to move.

Every graph database before us made you duplicate your data. We don't. Evokoa builds a live topological shadow of your existing systems. Your data stays exactly where it is. We just make it traversable.

03

Microseconds, not seconds.

If an agent waits 3 seconds for a database query at every step in its reasoning loop, the workflow collapses. We engineered Evokoa from the ground up to traverse millions of relationships in microseconds. That's not a benchmark. That's the product.

04

A cache, not a copy.

Traditional systems ingest and duplicate your data. Evokoa caches the topology and leaves everything else at rest. It auto-discovers your schema and reflects changes in real-time. The world model is always current because it was never a bad batch job.

05

Math, not strings.

Most databases spend their time parsing strings, serializing objects, and negotiating protocols. We don't. Evokoa's hot path is pure math. No serialization. No parsing. That's why we're fast.

The age of bolting AI onto legacy architectures is ending. What comes next is infrastructure designed from first principles for how machines actually reason. We're building it.

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Infrastructure for enterprise world models. Deploy in minutes, reason in microseconds.

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