# https://heavychain.org llms.txt (Updated June 2026)

> Heavy Chain Engineering provides disciplined software-delivery modernization for the AI era. Led by Jason Vertrees, PhD, Heavy Chain helps lower middle-market vertical SaaS companies — and the PE firms that invest in them — turn scattered AI usage into measurable delivery leverage.
> Developers are already using AI. Most companies do not yet have the engineering practices around it: shared workflows, quality gates, governance, baselines, measurement, and repeatability. Heavy Chain installs those practices — on one real funded project — and proves the before/after.

## Positioning
- Positioning: Disciplined software-delivery modernization for the AI era
- Category: AI-era engineering modernization — productizing what a serious AI-era CTO would install inside an engineering organization (better specs, shared delivery workflows, agentic build practices, quality gates, AI usage norms, baseline metrics, review discipline, team repeatability, executive visibility)
- This is the same kind of shift agile, CI/CD, automated testing, and DevOps created in previous eras
- Heavy Chain is NOT "AI consulting," NOT a "fractional CTO" practice, NOT prompt engineering, and NOT standalone training

## The Four Offerings (in funnel order)
- [AI Delivery Assessment](https://heavychain.org/services#ai-delivery-assessment): The paid front door. From $10K, one week. A diagnostic (no build): reviews the delivery workflow and AI readiness, maps the engineering bottleneck, selects the right funded project, and sets the baseline everything else is measured against.
- [AI Delivery Modernization Sprint](https://heavychain.org/services#modernization-sprint): The flagship. From $40K, two weeks, CTO-led and embedded. Ships one real funded project the AI-native way — workflow, tooling, testing and quality gates, review standards, team training in the flow of work — and measures before and after, so the gain is proven, not promised.
- [etc Operating License](https://heavychain.org/services#etc-operating-license): The recurring layer. $5K/month per company. Keeps the installed workflow current as models, tools, and engineering practices change: workflow updates, templates, model-adaptation guidance, office hours, support.
- [Portfolio AI Delivery Program](https://heavychain.org/services#portfolio-program): For PE firms investing in lower middle-market vertical SaaS. From $35K assessment, then $10K–$20K/month. Fund-level work: assess which portfolio companies are ready, sequence the rollout, run pilots, and report on velocity, quality, adoption, and risk across the portfolio.

## Tooling: etc
etc is Heavy Chain's agentic engineering harness. It standardizes how teams specify work, manage context, guide AI-assisted implementation, and preserve quality through review and testing. It is not another coding assistant and does not replace the point tools engineers already use (Cursor, Copilot, Claude) — it is the delivery harness around them that turns AI-assisted coding into a repeatable team practice. It has nearly 200 commits of real-world AI-native engineering work behind it; it is not a prompt collection or a demo scaffold.

## Proof Points
- Up to 85% feature-cycle compression in pilot conditions
- Six-to-eight-week projects shipped in days
- 300% throughput improvement in delivery engagements
- 40% cost reduction in delivery engagements
- First production AI workflow shipped in under six weeks
- Results vary by team, project shape, codebase maturity, and adoption readiness. Heavy Chain starts every engagement with a baseline so improvement is measured honestly.

## Ideal Customer
- Primary: lower middle-market vertical SaaS / B2B workflow software companies — $2M–$30M ARR, 3–30 engineers, 20–150 employees, founder-led or PE/growth-backed, with real customers and real delivery pressure
- Co-primary: PE firms investing in lower middle-market vertical SaaS, who need portfolio-level visibility into AI readiness, delivery leverage, and engineering risk
- Not the buyer: seed-stage startups, enterprise IT procurement, or buyers who want "AI strategy" without engineering execution

## Secondary Capabilities (available, not the headline)
- [Technical due diligence](https://heavychain.org/services#technical-due-diligence): Engineering risk, architecture scalability, AI readiness, and leadership quality for an acquisition or board — with a Day One operating plan alongside the report.
- [Fractional, interim & turnaround CTO](https://heavychain.org/services#fractional-cto): Embedded senior technical ownership when a team needs leadership rather than a single project.

## About
- [About Heavy Chain](https://heavychain.org/about): Founded and led by Jason Vertrees, PhD — twenty years of engineering leadership, including leading technology at a $1B AUM investment firm. Heavy Chain is the result of three years of focused AI-native engineering work, compressed into a delivery system teams can adopt in weeks.
- [Jason Vertrees, PhD](https://www.linkedin.com/in/jasonvertrees/): Founder & Principal.

## Resources
- [Services](https://heavychain.org/services): The four offerings in detail.
- [Case study — We Replaced Salesforce](https://heavychain.org/case-study/salesforce-migration): A full Salesforce replacement delivered in 3–4 months against a typical 9+ month timeline.
- [Salesforce Migration & Modernization](https://heavychain.org/salesforce-migration): Replacing Salesforce-centric operations with modern systems.
- [Projects](https://heavychain.org/projects): Selected products and engagements.
- [Blog](https://heavychain.org/blog): Writing on AI-native engineering, delivery discipline, and technology leadership.
- [Careers](https://heavychain.org/careers): Open roles for senior engineers who ship.

## Contact & Engagement
- Primary call to action: [Book an AI Delivery Assessment](https://heavychain.org/contact)
- PE firms: [Discuss a Portfolio Program](https://heavychain.org/contact)
- Email and form at https://heavychain.org/contact