What we do
Heavy Chain helps lower middle-market vertical SaaS companies modernize software delivery for the AI era. We work directly with operating companies, and with the PE firms that need portfolio-level visibility into AI readiness, delivery leverage, and engineering risk.
Start here · find the project
A paid one-week diagnostic. We review how your team ships software today, find the biggest bottleneck, and choose the one project worth modernizing first, then record the baseline we measure against. We don't build anything yet; that's the Sprint.
From $10K · one week
What’s included
The flagship · build it
Two weeks, led by Jason. We embed with your team and ship one real, funded project the AI-native way: setting up the workflow, tooling, tests, and review standards, and training the team by doing the actual work. We measure before and after, so the gain is proven, not promised.
From $40K · two weeks
What’s included
After the Sprint · keep it current
A monthly subscription that keeps the workflow from going stale as AI tools and models change. The Sprint sets it up; the License maintains it.
$5K / month
What’s included
For PE firms · across the portfolio
For PE firms with vertical SaaS portfolios. We work at the fund level: assess which companies are ready, set the rollout order, run the first pilots, and report to the fund on speed, quality, adoption, and risk. One operating lens across the portfolio, not the single-company Sprint repeated.
From $35K assessment · then $10K–$20K / month
What’s included
Additional ways we help
Engineering risk, architecture scalability, AI readiness, and leadership quality for an acquisition or board — every finding framed against the thesis, with a Day One operating plan alongside the report.
When a team needs senior technical ownership rather than a single project, we step in as embedded leadership — strategy and delivery, not advice.
Why Heavy Chain
I led technology at a $1B AUM investment firm — on the operator side of the table, where engineering quality is a line item in the thesis, not an abstraction. Before that, two decades of architectural work across cloud-native platforms, LLMs, and AI-native product systems.
The last three years I spent building in production with AI, not theorizing about it. The tooling, framework, and process that came out of that work are exactly what we install in your team.
We find the highest-leverage project and define what success looks like — before you commit to the Sprint.
