THOUGHT PATTERN AI
Thought Pattern AI
Proof over probability.
Remote workers that take the mission, prove their work, and account for every decision.
How they fit together
Tapestry is the product we are built around. It takes on a role, carries the mission you give it, and returns reviewable work with the evidence behind it. 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 authority it may use, and the standard for what finished means. It works without supervision and returns reviewable work with the evidence behind it. When it cannot stand behind an answer, it says so, and resolves it or escalates.
First role on offer: a Python developer, coming soon
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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
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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
The hard problem with a worker that runs on its own isn’t whether it’s capable. It’s whether you can trust it. Most AI asks one system to both do the work and grade its own work, with the rules locked away inside it where no one can read or change them. We keep those two jobs in separate hands: an Actor that does the work, and a separate Regulator that checks every result against a plain set of rules you can read, set per engagement, with a hard limit nothing can loosen. When something goes wrong, it 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.
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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.
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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.
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