Proof
We don't just advise on capabilities. We build them.
Every system on this page was architected, designed, narratively positioned, and brought to market by our team. We build pricing models around complex frontier and commodity capabilities, create distribution strategies, and generate the narratives that make technical work sellable.
This is how we know what works. We do it on our own R&D before we do it on yours.
The full lifecycle, proven.
Architecture
System design, data models, integration surfaces, and technical decisions that hold up under real production load.
Narrative Design
Positioning, category creation, vertical go-to-market strategies, and the language that makes complex technology land with buyers.
Pricing Models
Freemium tiers, enterprise licensing, engagement-based structures, and open source strategies that create adoption and conversion.
Distribution
MCP servers, APIs, npm packages, web applications, and federal marketplace positioning. Every channel designed for the capability it serves.
What We've Built
Eight capabilities. Designed, built, and distributed.
A mix of open source, production SaaS, and internal systems. Each one went through the same process we run for clients: identify the market gap, architect the solution, design the narrative, build the pricing, and distribute.
Gerolamo
Production SaaSA competitive intelligence engine monitoring 125+ technical domains daily across GitHub, arXiv, and Hugging Face. We designed the scoring methodology, built the ingestion pipeline, created the pricing model (freemium to pro), and distributed it through an MCP server, API, and web application. Over 50,000 entities scored across defensibility, velocity, and frontier risk.
Our design work
Category creation, scoring methodology design, freemium pricing architecture, brand system, narrative positioning as "Technical OSINT"
Zephyr
Open SourceEnvironment-agnostic signing and policy enforcement for high-consequence data. We identified the market gap in 2024 before "AI provenance" became a category, architected the envelope-based signing model, designed the Gatekeeper policy agent, and built vertical narratives for healthcare, energy, defense, logistics, and science.
Our design work
Market timing analysis, architecture narratives, five vertical go-to-market strategies, DoD Tradewinds positioning, pricing for enterprise and government
Sunshine
Closed Source / InternalA full-stack CRM with hub-and-spoke data model, native SAM.gov and USAspending MCP integrations, and agentic growth workflows. We designed this as the operational backbone of our own growth function, then productized the methodology for client engagements. It tracks opportunities, captures interactions, and runs pipeline hygiene automatically.
Our design work
Data model architecture, MCP integration strategy, agentic workflow design, federal procurement signal pipeline
Sonde
Open SourceAn MCP-native topic registry for monitoring GitHub, arXiv, Hugging Face, RSS, and web sources. We designed the "declare, simulate, collect" pattern before the market understood that AI agents need governed access to fresh data with audit trails.
Our design work
Collection governance framework, simulation-before-production pattern, lineage model, developer experience design
Snap
Open SourceStructured screen capture that feeds directly to AI agents via MCP. We designed it for our own technical diligence workflows, then recognized it solved a broader problem: how do you give an AI agent visual context from any screen without building custom integrations for every tool?
Our design work
Annotation schema design, MCP tool interface, workflow integration narrative, positioning for operations review and technical analysis
Honeymoon
Open SourceMulti-agent security scanning with cryptographic proof of every action. We designed the scan-simulate-harden-sign loop and built it to run locally and airgapped. The pricing model targets organizations that need verifiable security posture without sending data to a third party.
Our design work
Security workflow architecture, cryptographic attestation model, airgap-first distribution strategy, vendor-agnostic positioning
Prelude
Open Source / npmExtracts structured ground truth from any repository. Stack, architecture, dependencies, and decisions emitted as machine-readable context. We designed this as the input layer for technical diligence: point it at a repo and get a structured assessment an agent or analyst can act on.
Our design work
Telemetry schema design, npm distribution strategy, MIT licensing decision, integration narrative for intelligence pipelines and due diligence workflows
The Production Harness
Closed Source / InternalOur system for turning strategy into shippable artifacts at speed. It encodes brand, voice, design tokens, and governance rules so that decks, proposals, capability statements, and outreach content ship fast, on-brand, and pre-validated. This is what makes 4-6 fundable artifacts per week possible from a single operator.
Our design work
Skill architecture, brand encoding methodology, quality gate design, artifact compounding model (each artifact feeds the next)
Why this matters for your R&D.
Every one of these capabilities started as raw R&D. An idea, a prototype, a technical insight that hadn't been shaped for a buyer yet. We took each one through the same process: isolate the features that matter, compromise where necessary, break larger systems into consumable offerings, and position against real market demand using Technical OSINT.
It takes real understanding of markets, technologies, and opportunities to create new categories and wedges. We do that work on our own capabilities every month. The same discipline, the same tooling, the same process applies to yours.
When we say we can turn your R&D into a growth asset, this page is the evidence.
Your R&D deserves the same treatment.
We'll design the capability, build the narrative, create the pricing model, and distribute it to the people who need it. Sixty minutes. Free. Let's talk about what you've built.