Software
Product surface to backend. Greenfield builds, new product lines, and the unglamorous middle layers that decide whether either ships.
Serious software,
shipped
Foundry Systems partners with teams building serious software and AI. We work as one team across software, AI, and infrastructure, from product surface to production deploy.
Built on work done at
Firm-level, collectiveThree pillars. One team.
Most engagements touch two or three. The people who scope the work do the work. No juniors, no relays, no offshore handoff.
AI
LLMs, agents, retrieval, and intelligent automation built into your product. Production systems, not proofs of concept. If AI doesn't belong, we'll say so.
Infrastructure
Cloud architecture, IaC, GitOps, observability, and cost. Multi-region and regulated workloads when the system needs it. AWS and GCP.
What an engagement looks like.
Five shapes of work. Pick the one that fits, or talk to us and we'll tell you which one does.
0-to-1 Product Builds
Greenfield products or major new product lines, built end to end. Design, frontend, backend, infrastructure, AI. We own delivery.
↗
Applied AI
LLMs, agents, retrieval, and intelligent automation integrated into your product and your workflows. Built to run, not to demo.
↗
Platform & Infrastructure
Cloud architecture, Kubernetes, IaC, GitOps, observability, cost. Multi-region and regulated workloads when needed.
↗
Fractional CTO & Advisory
Embedded technical leadership: architecture, hiring, technical strategy, board-level input, due diligence.
↗
Packaged AI for operating businesses
Templated automations, custom internal tools, and AI workflow setups. Limited scope, defined deliverables, fast turnaround.
↗
Why teams pick Foundry.
The pattern is the pitch. Senior operators who have done this work repeatedly, in production, at companies that have to be right.
Principal-led. No handoffs.
Engagements are led and architected by the founding principals, with a vetted senior network when scope requires more capacity. The people you meet do the work.
AI through the whole stack.
When AI belongs in your product, it is designed in from the start: the model, the data, the infrastructure, and the UX, together. Not a feature bolted on at the end.
Built to ship 0 → 1.
We have repeatedly taken products from nothing to production. Robotics, B2B SaaS, regulated AI, founding-engineer and CTO roles. The track record is the method.
Plain rules. We hold ourselves to them.
Start with the actual problem
Tools come second. The first week of any engagement is spent understanding what you are really trying to do, and what changes if we get it right.
Ship to production
A proof of concept is not the deliverable. A running system is. Every milestone leaves something live that you can show, use, and measure.
The right tool for the job
Modern and opinionated, not trendy for its own sake. We pick the stack that fits your problem, your team, and the next five years of operating it.
One team, end to end
Principals do the work. The bench is senior. No relay races, no junior teams parked behind a slide deck. The goal is to leave you in a position where you don't need us anymore.
Leadership.
Three partners lead every engagement. Careers spent building and operating commercial software at scale — in AI, robotics, regulated B2B, and platform engineering — as both hands-on engineers and the people running the teams.
Co-founder
Machine learning and applied AI across autonomous vehicles, LLM security, and computer vision. Has led ML initiatives at a Fortune Most Admired Company, spearheaded LLM security research at a top US security firm, and shipped self-driving AI at one of the world's leading AI labs.
Co-founder
Platform and full-stack engineer and former Head of Cloud at a global consumer-electronics company, with a career shipping commercial products end to end and scaling them past 100,000 MAU. Owns full-stack and infrastructure delivery at Foundry, working from product surface to multi-region cloud, and brings US, Taiwan, and Japan reach with professional Mandarin.
Co-founder
Robotics leader and former CTO of a $30M-revenue medical-robotics company, where he architected and scaled engineering teams from the ground up, drove Series A fundraising, and shipped cutting-edge robotic systems. Also led consumer-technology engineering at a global hardware company — hands-on robotics and AI depth paired with the playbook for taking products from zero to one.