Fractional CTO · Forward-Deployed AI

For vertical SaaS teams shifting to AI-native engineering — and the investors backing them

Your team needs an agent of change — not another AI strategy deck.

We saw the AI wave coming and built the framework for it — while everyone else was still keeping up. Teams using it ship six-to-eight-week features in four days.

Pilots from $12,500 · Two-week rollouts from $50K

See how we replaced Salesforce
Jason Vertrees portrait

Jason Vertrees, PhD

Founder & Principal CTO · Heavy Chain Engineering

Ex-CTO · $1B AUM firm · 20 years building · Team expanding 2026

85%

Faster feature velocity in top engagements — six-to-eight-week projects shipped in days.

The agentic engineering shift

If your team's AI strategy is autocomplete and copying from ChatGPT — you're already years behind.

Tap your current stage

Your competitors aren't hiring more engineers. They're building more with fewer.

Book a Strategy Call

The Technical Valuation Gap

18–24

months behind.

That's how far behind the average lower-to-mid-market vertical SaaS team is on AI adoption — and competitors compound the advantage every quarter.

Closing that gap is what separates the teams that turn AI into revenue from the teams that watch it pass. Heavy Chain exists to close that gap — for the team itself, and for the investors backing them. Two altitudes, one operating rhythm.

What you can buy from us

Five offerings. One operating rhythm.

A value ladder — from a one-week pilot to a fund-level portfolio engagement. Each rung installs the same disciplines: our agent harness, agentic engineering practice, and a measurable production outcome.

The ongoing engagement

Fractional CTO

Embedded technical leadership on retainer — strategy and delivery, not advice. Two face-to-face meetings a week plus twenty additional hours of async work a month. We sit in code review, sprint planning, Slack, and board prep so your team ships instead of spins.

Growth-stage

From $12,500 / mo

Single company, no permanent CTO

Portfolio

From $18,500 / mo

Adds GP / board reporting + fund alignment

Currently embedded across a portfolio of lower-to-mid-market vertical SaaS companies. Two altitudes of leverage, one operating rhythm.

Click to read in detail →

Not sure where to start? The first call maps where you are and which rung of the ladder moves the needle fastest.

Book a Strategy Call

The framework that ships with us

ETC — an agentic harness that keeps your agents in line.

Most AI tooling assumes the model is the bottleneck. It isn't. The bottleneck is what the model is allowed to do.

ETC encodes how a senior product engineering team works as hooks, agents, and skills your AI tools must operate inside. Install it once. The same disciplines govern your team's work from then on.

Discipline > capability. The model is smart enough already.

01

Specify before you build

A Socratic interview refines requirements until they're buildable — and refuses to draft from vague input.

02

Test before you write

A pre-edit hook blocks production code without a sibling test. No exemption flag. Tests are the specification.

03

Decompose before you dispatch

Every task is scored on the WBS scale and recurses until each leaf is small enough for one agent session.

04

Verify adversarially

A spec-enforcer agent reviews every shipped task against the original PRD before the release tag is written.

05

Measure the outcome

Each feature carries a value hypothesis. The harness reports the percentage that held — broken down by author role.

06

Defend in depth

When a bug escapes, the fix is layered at three independent gates. Three must fail simultaneously for recurrence.

Forward-Deployed AI Rollout

Inside the two-week engagement.

Five phases over two weeks. We share the desktop the whole time — your team learns by shipping a real project, not by watching a demo.

01

Introduce

We open with a working session on agentic engineering — spec-driven development, agent harnesses, and the disciplines your team will operate inside. The vocabulary lands first so the tooling lands on something.

02

Install

We fork ETC into your GitHub repository — or your whole organization. The harness lives in your infrastructure from day one. Nothing about the deployment is opaque or external; you own it when we leave.

03

Discover

Together we choose the deliverable — a real feature from your roadmap, not a toy demo. We scope it, define what “done” means, and write the spec the build runs against. The work has to matter, or the lesson doesn't stick.

04

Build

We sit and build the chosen feature together, sharing the desktop, while your team learns by shipping. What comes out is production-grade work you were going to need anyway — built the agentic way, in days instead of weeks.

05

Land

Worst case: a feature shipped better and faster than your team would have built alone. Best case: the team has learned enough to act as internal champions, carrying agentic engineering into the rest of the organization on their own.

The fixed terms

Two weeks · shared desktop · ETC installed in your org · one production project shipped.

From $50,000 (base) → $100,000 (full).Or start with a one-week Pilot from $12,500.Book a Strategy Call

Run the numbers

What does the AI rollout actually save you?

Move the sliders. The math is conservative. The fee is fixed.

10
350
$200,000
$120K$350K
50%
20%85%

50% is the conservative default. Actual engagements have reached 85%+ — six-to-eight-week features shipping in four days.

Estimated annual value unlocked

$1,000,000

Rollout fee (base tier)$50,000
Payback12 workdays
Year-one return20×
Book a Strategy Call

Value unlocked is output capacity, not headcount reduction — a team shipping faster ships more. Pricing shown is the Rollout base tier; larger teams use the full tier at $100K. Pilots start at $12,500.

What leaders report back

What happens after the shift

Results from teams that crossed to the other side.

Next step

Let's map where you are.

30 minutes. We'll assess where your team sits in the agentic engineering shift, identify the highest-leverage move, and decide if there's a fit.

Response time

Within 1–2 business days

Who it's for

CEOs, CTOs, VPs of Engineering, PE operators

How to reach us

Share context in the form — a real person will reply, not a sales rep