We ship at startup speed.
Not vanity stats. Not testimonial sliders. The number we cared about, and what it took.
50+ projects since 2018
Our Work
ForbesPredict powered by Axiom
PROBLEM ▸ Led the development and launch of ForbesPredict with harness engineering, fully agentic and rapid iteration cycles, ensuring strict regulatory compliance at scale for forbes.com's 140M+ monthly active users.
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Stealth Startup (AI)
PROBLEM ▸ Cloud+Local creatives genAI pipelines with Agentic Evals.
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Moonshot Compost
PROBLEM ▸ Embedded engineering partner for a Texas food-waste composting operator — the public impact dashboard its clients' ESG reporting runs on, the BI stack behind it, now a next-generation operations platform.
OUTCOME ▸ Diversion dashboards live across community, city, and company views; the next-generation platform now in build, sole-authored end to end.
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GCtrl
PROBLEM ▸ Local-first multi-agent orchestration mission control system
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Spaceship
PROBLEM ▸ A global logistics SaaS whose business logic — carrier rules, routing, partner integrations — changed faster than its codebase could keep up.
OUTCOME ▸ A workflow engine that absorbs carrier and business-model change as configuration, on an architecture re-built to scale horizontally through the B2B2C transition.
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Mocaverse
PROBLEM ▸ Lead Development for Mocaverse, a web3 digital identity project with $200M+ market cap, managing requirements, vendors, infrastructure and security
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GeoXpert
PROBLEM ▸ A green-field geospatial SaaS for drone operators and service providers to run projects and collaborate with clients — zero to market with a small agile team.
OUTCOME ▸ First paying customers within six months; responsive 2D and 3D geospatial insight shipping across mobile and desktop.
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BTSE
PROBLEM ▸ A high-volume, mission-critical exchange needed to move its core infrastructure from on-premise to AWS — without giving up the low latency and near-continuous uptime a live trading venue depends on.
OUTCOME ▸ 35+ microservices migrated onto AWS with latency and uptime intact, and cloud best practices embedded in the engineering team along the way.
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Protocol Labs
PROBLEM ▸ Protocol Labs needed to adapt a pre-agentic system for higher-throughput agentic workflows without weakening its security posture. We helped modernize the architecture, deployment, and operational setup so the system could scale safely.
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