We turn research into revenue.
Turning capability into revenue is where most R&D stalls. We run the loop between what you build and what you sell, so it reaches production and market instead of sitting in a repository.
An operating model, not a black box. Your own teams can adopt it.
Most R&D never becomes value.
Capability that lives in a lab, a repository, or a technical report starts driving outcomes only when someone binds it to commercial intent, isolates what buyers actually need, and moves it to market before the window closes.
The usual failure is structural. Work is handed across boundaries, from research to product to marketing, and context is lost at each one. Timelines stretch while the original idea gets diluted. At the same time, ungoverned AI use scatters proprietary work across tools you do not control.
Hiring more people rarely fixes this. Changing how the work is operated does.
We turn R&D into value you can trace and defend.
We operationalize R&D. We take capability out of the lab and run it through one loop to market, then hand you a finished asset with a clear record of what was produced, when, and where each piece came from.
Traceable, because every high-consequence step is governed and signed. There is a tamper-evident record of the work, so provenance is never in question and nothing scatters into tools you do not control.
Defensible, because the build is grounded in live technical intelligence and positioned against real demand. What you ship holds its ground instead of getting absorbed.
The result is capability you can put in front of a buyer, a program officer, or an investor, with the provenance to prove it and the position to defend it.
Controlled delivery, a small AI-native team.
Most delivery slows down in coordination. A team collaborates on one build, and the meetings, consensus, and review cycles become the work. We operate differently, and it is a model your own teams can adopt.
One person owns each outcome end to end, using agentic automation and orchestration to do what used to take a team. Work moves between functions as clean handoffs, not collaborative back-and-forth. Review happens at defined gates, quality control and compliance, or not at all. Delivery is scoped to a set of outcomes, so the finish line is clear.
We develop the capability and its commercial intent in the same pass. The build grounds the positioning; the positioning directs the build.
Design
One owner refines the offer. They break R&D into consumable capability, bind it to commercial intent, and position it against real demand. This decides what is worth building.
Develop
One owner develops it, using agentic automation and orchestration to move at a pace that used to require a team. Production-ready, with provenance and attestation built in.
Distribute
One owner moves it to market. Signal-driven targeting reaches the buyers, programs, and partners who should see it, before the window closes.
Design informs what we develop. Develop ships it. Distribution moves it. Market feedback sharpens all three. Because each outcome has one owner and clean handoffs between functions, nothing is lost in translation and the finish line stays clear.
A hardened, market-ready asset in weeks rather than quarters.
How the loop runs, in detailThe infrastructure our team runs on.
We run our own infrastructure on every engagement, and it works as one system. Ultimus is the engine that does the work. It runs on the other three: Gerolamo, a radar on the outside world; Prelude, a map of your own codebase; and Zephyr, a ledger that governs and signs every high-consequence action.
Ultimus
A local-first, sovereign agentic harness. It benchmarks near Claude Code while running on open-source models, so one owner can drive agentic development at depth without provider lock-in or a required cloud dependency.
ViewGerolamo
An MCP-ready technical intelligence feed. It gives coding agents real-time intelligence on best practices and what is moving, so what gets built is grounded in current reality.
ViewPrelude
Codebase and document intelligence. It reads a repository or document set and produces structured ground truth on what is in it, so agents and analysts build on what is actually there. Open source.
ViewZephyr
Policy enforcement and cryptographic attestation. A rules engine for what agents may do, with signed, tamper-evident records of every high-consequence action.
ViewRun R&D without exposing sensitive information.
AI-assisted development is fast and hard to govern. Employees and contractors move proprietary architecture through tools you do not own, and afterward it is hard to say what came from where.
We run your R&D in a governed environment: agentic execution under permission gates through Ultimus, and policy enforcement with cryptographic attestation through Zephyr. There is a clear, signed record of what was produced and when.
This reduces exposure. It does not eliminate it, and we state that limit explicitly.
Where this works.
A good fit
- Technical companies with real capability and an underpowered growth function
- Defense contractors and federal integrators
- SBIR and BAA teams carrying funded R&D toward production
- Teams that want an operating model they can adopt, not another dependency
A poor fit
- Staff augmentation and billable-hour retainers
- Open-ended scope without defined outcomes
- Prototypes delivered without a path to market
- Work that ships without governance or an audit trail
Federal and commercial. We know both.
Track Record
Revenue Influenced
Account Retention
Engagements
Including a $32M Series B for a defense platform, 95% faster safety modeling for a U.S. space launch range, and 3x pilot opportunities for a Stanford sensing startup.
See our work →Our own infrastructure
We run cryptographic proofing and structured-context systems on our own work. The infrastructure we run for clients is the same infrastructure we built to run ourselves.
One fixed fee for the whole loop.
A single monthly fee runs the entire loop. No scoping, no change orders. Launch within 72 hours. Cancel anytime.
- Head of Growth, BD, content, CRM, and intelligence tooling
- Decision gates and review cycles at each layer
- Roughly six months to first shipment
- One fixed fee across the whole loop
- Four to six fundable artifacts a week
- Grounded in continuous intelligence
- Launch within 72 hours, cancel anytime
A sixty-minute working session.
We look at your R&D, where it is leaking value, and where the operating loop is broken. You leave with a written assessment whether we end up working together or not.