THOUGHT PATTERN AI
Thought Pattern AI
Proof over probability.
Remote workers that take the mission, carry it without supervision,
and return work you can accept.
How they fit together
Tapestry is the product we are built around. It takes a request for knowledge and returns the finished work, checked before it reaches you. Conclave runs teams of agents against one objective, and Tapestry can be one of them. Engram is the fast recall layer inside Tapestry, and it is open source on its own.
Tapestry · Remote workers
Mission in. Finished work out.
Give it the mission, the systems it may reach, and the standard for what finished means. It works without supervision and returns reviewable work, checked against the standard you set. When it cannot stand behind an answer, it says so, and either resolves it or sends you the question with the evidence behind it.
First engagements open soon
Explore Tapestry
Conclave · Orchestration
Orchestrate a team of agents.
A managed, multi-tenant workflow system that coordinates many agents toward one objective by decomposing the work, routing the handoffs, and holding the effort together when a step stalls instead of letting it fall over.
Coming soon · early access
Explore Conclave
Engram · Fast path
The fast path in front of your expensive calls.
A lightweight, keyword-indexed retrieval layer that returns a held answer before the costly call ever runs. It learns which answers get used, stays small, and is legible by design, retrieval you can read and tune by hand.
Open Source · Apache-2.0 · available now
Explore EngramWhy you can trust it
A worker that runs on its own has to clear more than a capability bar. You have to be able to trust what comes back. Tapestry keeps doing the work and judging the work in separate hands. An Actor does the work and states the reasoning behind every answer it gives. A separate Regulator reads that reasoning and decides whether it holds up against the evidence, under a plain set of rules you can read, set per engagement, with a hard limit nothing can loosen. Work the reasoning does not carry goes back for another pass, so a problem shows up at the checkpoint, where it can be caught and fixed.
Services
Alongside the products, our engineers take the model work itself: the capacity models run on, the models themselves, and the deeply constrained hardware at the edge. Senior people, your environment, and what we build stays with you.
Services · Inference and training
Capacity that holds under load.
GPU and TPU capacity designed, built, and tuned for the work you actually run: topology, scheduling, the serving stack, and training runs at scale. In your cloud, your racks, or a site with no path to the outside.
Explore the service
Services · Model engineering
A model that fits the job.
Fine-tuning, LoRA modules, distillation, continued pretraining, and quantization, with evaluation built from your own work so the result is settled by numbers rather than by opinion.
Explore the service
Services · Edge AI
Intelligence inside the budget you have.
Language models and classical ML fitted to fixed memory, power, thermal, and latency budgets, then wired into the runtime on the hardware you ship.
Explore the serviceTell us the seat you need filled, the workflow you need run, or the call you need to skip.
Request a demo