Infracodebase
Your standards. Your patterns. Encoded once. Enforced in every generation.
Who we serve
Large. Operationally complex. Heavily regulated. The bigger and more tangled the org, the more we matter.
Every change is expensive to ship. More expensive to undo.
Expertise is scarce. Variability is everywhere.
Wrong has a regulator on the other end.
When they get it wrong: the lights stay off, claims don't get handled, customers can't reach their money. Worst case, significant harm or loss of life.
The problem
AI accelerated every developer flow. Business teams expect that acceleration everywhere. Cloud, security, risk, and compliance teams want to move faster too, but they hold the risk. AI gives them plausible artifacts and well-crafted configurations that miss company standards. So governance slows down.
Where the gap is
Business expects acceleration. Governance holds the risk.
Why AI makes it worse
What AI generates looks right but isn't.
The cost of misconfiguration was already high. AI made it more likely.
What we built
A system built around agents and the strongest harness on the market. We extract the rules, patterns, and policies spread across your enterprise, standardize them into a universal context layer, and connect every tool you already use. Every developer, and every non-developer, builds infrastructure at scale.
Extract
Rules, patterns, and policies surfaced from teams, docs, and old code.
Standardize
Encoded once into a universal context layer. Enforced on every generation.
Connect
Wired into the cloud, IaC, SCM, and ticketing you already use.
Contribute
Every developer and non-developer ships, inside the guardrails.
What it gives you
Faster. Infra ships at AI speed, on patterns your platform team already approved.
Cheaper. Scale without hiring more platform engineers or consultants.
Safer. Misconfig stops at the PR, not on a regulator's desk.
Open. Any cloud, any language, your own models and tools. We add a layer. We don't replace one.
Built-in tools
Works in any developer environment
Works with any agent runtime, in any terminal.

Traction
One pilot already in contract. Three more in active negotiation. Six accounts behind them. Every account has a named executive sponsor, a scoped pilot, and a defined path to production.
6 more accounts in motion: Global insurer, $50B+ rev, Personal finance fintech, Industrial HVAC, $20B+ rev, Digital bank, $8B+ rev, Super-regional bank, $25B+ rev, Regional bank, $8B+ rev.
Developing channel partnerships
Aditi
GA. New joint offering live. We're their cloud delivery backbone. Commercial terms in progress.
Wipro
Evaluating whitelabel behind their brand. Integration scope in flight.
Unisys
Direct execution on a Fortune 100 financial services account.
The market
~1,500 US organizations. ~900 more across EU and UK. The same shape we serve today: large, operationally complex, heavily regulated.
Bottom-up, US ICP
~1,500 US organizations in the ICP. EU and UK add another ~900 at a blended $500K ACV.
How big the prize is
US first. EU and UK regulated enterprises extend TAM materially. Asia banking and insurance is upside.
Each win informs the next. The playbook compounds as the engine activates.
Why us
Models commoditize. Harnesses converge. What doesn't: knowing what to build, the architecture that comes from knowing, and the people in the room who do both.
Scar tissue. You can't read your way to this.
Years of platform engineering, developer experience, and shift-left inside the world's most complex enterprises. We know where it breaks because we've had to fix it.
Inside your security boundary. Architecture a regulated CTO can sign off on day one.
Bring your own models, keys, and code repos. We don't keep a copy. No data leaves your boundary, and the architecture is ready for frontier security-tuned models as they reach your enterprise.
Forward-deployed operators. Engineering included. People embedded inside your team.
Forward-deployed engineering ships inside the price, not as a service line. Our people are in the room with yours, making sure you extract maximum value from AI in the cloud. Pilot fee, then the product. One contract, one number.
The right harness, for free. Same execution environment as Claude Code itself.
Built on Claude Agent SDK. Every model improvement lands in our product the day it ships, without rewrites. The harness is converging on us, not away from us.
We ship faster than we hire. AI inside our own engineering pipeline.
Output uncoupled from headcount. The system we sell our customers, we run on ourselves. Five to ten production ships a day with a small team, and the security bar doesn't move when we go faster.
The team
Core team

Justin O'Connor
Founder / CEO / CTO
Banking, then top-10 US bank consulting. Led KPMG's US cloud platform engineering, then KPMG's global AI delivery. GenAI and cloud lead at Slalom. Builds Infracodebase's strategy and most of its product code.

Ted Prendergast
Head of Enterprise Sales
Owns enterprise pipeline, account strategy, and pilot conversion. Built the named-account funnel that's now in pilot motion across banking, insurance, energy, and utilities.

Reilly O'Donnell
Head of Engineering
Builds the Infracodebase platform end-to-end. Creator of React Debugger. Bun contributor. Deep background in high-performance UIs and real-time systems.

Vice Vicente
Head of Security & Operations
EY IT audit. Information Security Manager at Linode. F500 GRC at Security Risk Advisors. Led the first SOC 2 Type 1 at Compliancy Group. NIST AI RMF expert. Owns Infracodebase's security architecture, SOC 2 Type II, and the enterprise procurement gauntlet.
Advisors

Greg Bell
Former Global Advisory CTO, KPMG
Decades advising global banks, insurers, and regulated enterprises on cloud and digital strategy.

John Thomas
CTO / CDO, RVO Health
Enterprise CTO with operating depth across regulated digital platforms. Board member and advisor.

Todd Buelow
Co-Founder, Dualboot Partners
Multi-exit founder (Elogex to One Network; Cloud Logistics to E2Open). Active tech investor.

Lisa Russell
AI & Digital Transformation Executive
C-suite advisor on AI adoption, digital delivery, and enterprise transformation.
The Ask
Pilots are landing. The first production contract, $250K at a F200 utility, is in readout. More pilots behind it. Revenue from those pilots and the production deals that follow funds the core team. This round bridges to that revenue and builds the growth engine: marketing, sales, partnerships, the brand that defines this category.
Use of funds
People
Closes the team that closes the pipeline.
Head of Product, Head of Security & Operations, forward-deployed engineering bench.
Product & Growth
Turns pipeline into repeatable revenue.
Implementation playbook from first wins. Category-defining content and brand. Channel enablement for Aditi, Wipro, and Unisys.
Operations
Keeps the engine running.
Cloud, software, legal for enterprise contracts and compliance.
The gap this round closes
Today
In 12 months