We install the AI-native engineering practices that scale — structured planning, shared workflows, and quality gates — then prove the before and after on one real project.
Heavy Chain helps lower middle-market vertical SaaS companies and the PE firms that back them turn scattered, informal AI usage into a disciplined delivery system you can measure. Your engineers are already using Cursor, Claude, and Copilot. We turn that activity into a system — with the baselines, quality gates, and before/after numbers to prove it's working.
85% faster feature velocity in top engagements — six-to-eight-week projects shipped in days. One real project, measured before and after.
| Offer | What it does | Investment |
|---|---|---|
| AI Delivery Assessment | The front door. One week to find your biggest delivery bottleneck, pick the one project worth modernizing first, and record the baseline. No build yet. | from $10K · one week |
| AI Delivery Modernization Sprint | The flagship. We embed with your team and ship one real, funded project the AI-native way — workflow, tooling, tests, review standards — and measure the delta. | from $40K · two weeks |
etc Operating License |
Keeps the workflow from going stale as AI tools and models change. The Sprint sets it up; the License maintains it. | $5K / month |
| Portfolio AI Delivery Program | For PE firms. Assess PortCo readiness, sequence the rollout, run the first pilots, and report to the fund on speed, quality, adoption, and risk. | from $35K assessment, then $10K–$20K / month |
Start with the Assessment to find the right project. Build it in the Sprint. Keep it current with the License. PE firms run the same discipline across the portfolio.
We take one real, funded project and run it through our agentic engineering framework: set up the workflow and tooling, install the tests and review standards, train the team by doing the actual work, and show the measured before/after. No decks, no "navigate the transition" — when we say shipped, we mean shipped.
Led by Jason Vertrees, PhD — nearly 20 years leading engineering, product, and GTM teams; former technology leader at a $1B AUM investment firm; and three years deliberately doing AI-native engineering in production. An operator who thinks in IRR and architecture — credible at both altitudes, the fund and the codebase.
Ready to turn AI activity into proven delivery?
Book an AI Delivery Assessment → · heavychain.org
Yes — this was built with AI and coffee. ☕