Operators who build. Builders who operate.
We replace the software your business rents with systems it owns, and we put AI to work inside them. What we build goes into daily use, and it is yours after we leave.
Runpoint is two founding partners and a bench of more than twenty-five practitioners, matched to each engagement by discipline. We call them operator-engineers: people who have run a team, a P&L, or a client book and can also ship real software. They work inside your company, beside your people, and stay until the new system is doing the job.
Runpoint is led by its founders and staffed from the bench. No hand-offs between “the strategy team” and “the build team.” Every person on an engagement carries both.
Matthew Hall
15 years leading client engagements, P&Ls, and product teams at Publicis Sapient and Cox. Ran multi-million-dollar programs across enterprise tech and media. Learned to build because the gap between what the business needed and what engineering shipped was costing real money. Now closes that gap with AI.
LinkedIn →
Sam Gaddis
A decade building and shipping AI systems, from autonomous development pipelines processing thousands of tickets to enterprise platforms with 200+ API routes. Built and sold AI automation companies. Ships production infrastructure for Fortune 500 clients where downtime has a dollar sign attached.
Five hundred applied. One in twenty made it.
Behind the founders is a vetted bench of operator-engineer practitioners: senior specialists we deploy by discipline, not by who's free. A typical engagement draws two to four of them. They're not employees, and that's deliberate: you get deep expertise exactly when the work demands it, and none of the overhead when it doesn't. We don't publish their names. You meet them when your engagement staffs.
A decade at marketplace scale
10+ years leading product and growth at one of the web's largest hiring marketplaces. Los Angeles.
Pipelines built like systems
Rust and SQL pipeline architecture with declarative validation, currently running a full LMS platform migration.
500GB a day in production
Full-stack engineer running biomechanics data pipelines at one of sports science's most demanding shops. Florida.
Founder-level domain depth
E&S carrier strategy, underwriting automation, and pricing platforms. A founder who operates in the domain he builds for. New York.
Design-system depth
Component libraries, rapid prototyping, and production interfaces, from the same hands behind Runpoint's own product surfaces.
Eval rubrics, not vibes
Prompt architecture and evaluation systems for AI training workflows in regulated, high-stakes domains. Austin.
Human-in-the-loop review
Dedicated QA across enterprise client builds. Release discipline as a standing function, not an afterthought.
Four time zones of build capacity
Chatbot and AI workflow implementation from the US to Southeast Asia, trained through Anthropic's partner program.
High context, no layers.
Dedicated partnership
Engagements are structured for sustained delivery rather than hourly billing or milestone-gated SOWs. Continuous velocity, and a team that builds knowledge of your business over time.
Single-threaded leads
Every engagement is led by one operator-engineer who owns the outcome end to end, full-time on your account. No hand-offs between strategy and delivery. One person, full context, total accountability.
Specialists when it matters
Our core team is lean by design. When an engagement demands deep expertise in security, data engineering, or domain-specific AI, we draw it from the bench, matched by discipline.
This model keeps context high and delivery fast. No layers of project management. No status meetings about status meetings. Just building, and writing it all down.