Infracodebase

Infracodebase

From intent to production-ready infrastructure.

Your standards. Your patterns. Encoded once. Enforced in every generation.

Who we serve

The enterprises where wrong is catastrophic.

Large. Operationally complex. Heavily regulated. The bigger and more tangled the org, the more we matter.

01

Large

Every change is expensive to ship. More expensive to undo.

  • $1B+ revenue
  • Multiple business units
  • Multi-geo footprint
  • Many regulated entities
02

Operationally complex

Expertise is scarce. Variability is everywhere.

  • 500+ developers
  • W2, contractor, onshore, offshore, consultants
  • Multi-cloud sprawl
  • Constant M&A
03

Heavily regulated

Wrong has a regulator on the other end.

  • Banking
  • Insurance
  • Energy & utilities
  • Healthcare
  • Government

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 is slowing governance, not speeding it up.

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.

Developers ship faster
Business teams expect that pace everywhere
Cloud, security, risk, and compliance can't move that fast, because they hold the risk

Why AI makes it worse

What AI generates looks right but isn't.

AI generates plausible artifacts
Configurations look well-crafted but miss company standards
Reviewers have more to catch, not less
Misconfiguration is more likely than it was

The cost of misconfiguration was already high. AI made it more likely.

$270MCapital One. One misconfigured WAF.
$9.28MAverage financial services breach (IBM 2025).
$4.3BUS regulator fines, 2024.

What we built

Governance at AI speed.

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.

01

Extract

Rules, patterns, and policies surfaced from teams, docs, and old code.

02

Standardize

Encoded once into a universal context layer. Enforced on every generation.

03

Connect

Wired into the cloud, IaC, SCM, and ticketing you already use.

04

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

AWSAzureGCPTerraformOpenTofuPulumiGitHubGitLabAtlassianNotion

Works in any developer environment

Infracodebase·Cursor·Claude Code·VS Code·Windsurf

Works with any agent runtime, in any terminal.

Infracodebase architecture

Traction

$2.65M in named pipeline.

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.

Energy & UtilitiesFortune 200Contract negotiation. Vendor onboarding complete.$250K quoted, pilot rolled in
BankingTop-5 US bankNDA in place. Pilot scoping. Routed to CTO.$80K pilot → $1.2M target
Insurance & Asset MgmtGlobal insurer, $45B+ rev5-day rapid eval. Single use case.$50K pilot → $800K target
Specialty InsuranceFortune 500, $15B+ revPilot verbally agreed. NDA pending.$25K pilot → $400K target

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

$1.1B in regulated enterprise ARR.

~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

Banks$1B+ in assets868FDIC Q1 2025
Insurance carriers$1B+ premiums~175NAIC / S&P
Energy & utilities$1B+ revenue~125Fortune / EIA
Healthcare orgs$1B+ revenue~250Becker's / MH
Federal + state agencies, top SIsTier-1 IT buyers~100CFO Act / WT100

~1,500 US organizations in the ICP. EU and UK add another ~900 at a blended $500K ACV.

How big the prize is

US TAM$760MWhere most pipeline sits today and most ACV will originate.
Global TAM$1.1BUS + EU + UK regulated enterprises × $500K blended ACV.
SAM$200MRegulated enterprises actively modernizing GRC and IaC in 3 to 5 years.
SOM$5MYear 1 to 2, built on the 10-account pipeline behind today's pilots.

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

Built by the people who lived it.

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.

01

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.

02

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.

03

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.

04

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.

05

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

A team built to ship it.

Core team

Justin O'Connor

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

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

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

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

Greg Bell

Former Global Advisory CTO, KPMG

Decades advising global banks, insurers, and regulated enterprises on cloud and digital strategy.

John Thomas

John Thomas

CTO / CDO, RVO Health

Enterprise CTO with operating depth across regulated digital platforms. Board member and advisor.

Todd Buelow

Todd Buelow

Co-Founder, Dualboot Partners

Multi-exit founder (Elogex to One Network; Cloud Logistics to E2Open). Active tech investor.

Lisa Russell

Lisa Russell

AI & Digital Transformation Executive

C-suite advisor on AI adoption, digital delivery, and enterprise transformation.

The Ask

Bridge to revenue. Build the engine.

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.

InstrumentYC SAFE (post-money)
Round size$1M
Valuation cap$10M
Runway~12 months

Use of funds

60%
30%
10%

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

  • 01Live pilots with named enterprise accounts
  • 02Pipeline at top-5 bank, F500 insurers, F200 utility
  • 03Aditi channel launched. GA with joint offering live.
  • 04Founder-led delivery

In 12 months

  • 0110+ paid accounts, $5M ARR, $500K average ACV
  • 02Repeatable enterprise implementation playbook
  • 03Wipro whitelabel live. Multiple boutiques delivering production work
  • 04SOC 2 Type II, brand-recognized in the category
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