Data you can build on.
We turn fragmented sources into clean, governed data that AI systems can use, from pipelines and indexing to access controls.

FORWARD-DEPLOYED AI ENGINEERING (FDE)
Senior engineers and quantitative specialists work with your team to choose the right workflow, build on your stack, and see it through to production.
FORWARD-DEPLOYED, IN PRACTICE
The engineers who scope the work also write the code, deploy it on your stack, and make every answer traceable to its source.
01 / OUR EXPERTISE
Useful systems need connected data, the right model, sound engineering, and a place in people’s day-to-day work.
We turn fragmented sources into clean, governed data that AI systems can use, from pipelines and indexing to access controls.
We design and improve forecasting and decision models, quantify uncertainty, document assumptions, and test performance against real outcomes.
We connect models to your documents and systems, with citations and evaluations built into the product.
We build inside the tools your team already uses, connecting the interface, models, data, and actions needed for day-to-day work.
02 / SELECTED WORK
Selected products and systems our team has led here and in previous roles.
LEGAL / AI PRODUCT
01Established Brazilian legal technology company
We led an AI workspace for legal professionals that became central to a run of record sales months.
TELECOMMUNICATIONS / DATA
02T-Mobile
A data platform that turned hundreds of terabytes into daily marketing decisions.
RETAIL / CONVERSATIONAL AI
03The Home Depot
Conversational AI that handles complex questions and preserves context when a person needs to step in.
TALENT / MATCHING & DATA
04Talent matching platform
Hundreds of millions of professional profiles, ranked around how an expert recruiter evaluates talent.
HEALTHCARE / STATISTICAL MODELING
05Hospital inventory
Demand forecasting that accounts for the specific patterns of each hospital.
03 / HOW WE WORK
A senior engineer stays with the work from the first scoping session through production. The people making the technical decisions are also responsible for making the system work.
Discuss a workflowWe look at the actual work and its data, then choose a problem with clear value and a realistic path to production.
We connect the systems you already use and deal with data access, security, and integration as part of the build.
We measure what happens in real use and fix the edge cases that only appear after launch.
You keep the code, context, and operating knowledge. We leave the system maintainable and your team ready to run it.
WHERE WE START
We evaluate each opportunity for impact, available data, delivery risk, and ownership before committing engineering effort.
A result worth measuring.
The signal and access the work requires.
A realistic route through systems and constraints.
A team ready to put the system to work.
04 / BUILT FOR PRODUCTION
Security, observability, and ownership are part of the build from the first release.
OWNERSHIP BY DESIGN
We lead discovery and the first production release.
Your team builds alongside us with shared context.
You retain the code, knowledge, and operating capability.
BUILT INTO EVERY DEPLOYMENT
BRING US A REAL WORKFLOW
A good first deployment starts with a workflow that already causes friction. Send us the context and we’ll assess the value, the data, and the path to production.
contact@feynmanresearch.com