Healthcare
01
A clinical intelligence layer, built with proprietary open-weight models, that reads a patient's full history and answers with citations a clinician can check.
AI architecture, model-agnostic by design
The architecture is the intelligence.
We build reliable AI systems.
architecture, mathematically
The architecture is the function.
Every business pipeline is different. Each one is a structure: nested folders holding its own knowledge, its own code, the people who run it, and its own routing needs. That structure is the architecture. The model is one part of it, and a swappable one.
the persistence layer
A model forgets.
A model forgets.
An architecture should not.
Memory is a design decision, not a database. We choose what a system should remember, how to shape that memory for the problem, and when to bring it back, so the right context reaches the model at the right moment. The lightest structure that holds is the right one: sometimes a graph, often something far simpler. Not every system needs a vector store. Because the model forgets, the architecture carries the memory, and quality compounds with every task, even after the model changes.
Keep only what mattersthe system remembers what serves the work, not everything it sees
Fit the form to the joba folder, an index, or a graph, whichever the problem needs
Get better with useevery task teaches the system, so answers improve over time
Grounded in current research on memory and context, chosen per system, never sold off the shelf.
how we work
Built on frameworks we can prove.
We are research-driven and work from first principles. Every engagement runs the same loop.
01
First principles
strip it to what is true
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Deep research
read everything that matters
03
Plan
design before we build
04
Execute
ship to production
05
Learn
measure, then improve
work
Systems in mission-critical industries.
Where output accuracy is paramount.
Mergers and M&A
02
A complete deal-flow pipeline that saves hours and widens the research, surfacing prospective buyers and sellers a team would otherwise miss.
Consulting
03
A proprietary deep-research framework that compresses weeks of analysis into enterprise-ready briefs.
High-ticket sales
04
A go-to-market engine that uses deep research, lead enrichment, and channel automation to book more first meetings.
the hypothesis
One architecture. Many models.
An architecture should not depend on the intelligence of a single model. The architecture of the future delivers reliable output no matter which model it runs on. That is our hypothesis.
evals, audit, proof
Measured, audited,
and reproducible.
and reproducible.
Outputs are scored against ground truth, every decision is logged, and the verdict reproduces on a cold run.
one architecture
many models independent of the model
many models independent of the model
95-98% frontier
LLM quality on routed tasks
LLM quality on routed tasks
50% cost
efficiency same quality, half the spend
efficiency same quality, half the spend
frameworks
you can prove measured, reproducible
you can prove measured, reproducible
a question to leave you with
If a system only works because the model is smart, what happens when the model changes?
A great architecture does not depend on the model being smart. It works no matter which model runs underneath.