Learning systems since 1993. Now AI applications for professional firms.

CleanAim® was built by a founder who has been building capture-pair-learn systems since 1993. Today we build and maintain AI applications for professional firms with CleanAim® Studio.

From enterprise learning to AI applications: the same methodology, applied to the work of professional firms.

Tom Killi has been building systems that capture decisions, pair them with outcomes, and enable compound improvement since 1993. The methodology has evolved across four companies, but the core architecture has remained the same.

Where x.hlp paired decisions by people with learning results over days, CleanAim® pairs AI decisions with outcomes in milliseconds. The principle is identical. The speed is different.

1996–2004
x.hlp Technologies Capture-pair-learn for enterprise training. 30+ Fortune 500 clients including JP Morgan and Shell, plus McKinsey and NATO. Acquired in 2004.
2004–2012
Acquisition Chain After two further acquisitions, the x.hlp technology ended up inside SAP's enterprise learning infrastructure.
2009–2019
Energy Sector Grid analytics and prediction-outcome systems for the energy industry.
2020–present
CleanAim® CleanAim® Studio, the fourth generation of CleanAim®. We build and maintain AI applications that automate the recurring work of professional firms. The firm's professionals do the work with them: the AI prepares, they decide and sign.

The patent, published in 2001, has been cited by patents from Microsoft, Apple, Samsung and IBM, and the technology ended up inside SAP. The same methodology now underlies the AI applications we build for professional firms.

Self-funded R&D. The platform, patents, and methodology were built with conviction, not committees.

CleanAim® is a fully self-funded technology asset with clear IP ownership and zero external obligations.

1.8M+ lines of production code, across four generations of CleanAim®. 7 LLM providers supported. 93.3% cross-model transfer efficiency (internal testing across Claude, GPT, Gemini and Grok; 250 tasks).

We pointed our own verification system at our own codebase

Every test passed. CI was green. Health checks said HEALTHY.

Then we ran it. It found 4 silently broken data pipelines, 17,952 calibration records that nothing had computed, and 131 mutations where there should have been eleven thousand.

None of this showed up in tests, monitoring, or code review. That discovery became how we verify.

See how we verify →

Numbers that matter

Built, measured, and verified. Not projected.

1.8M+

Lines of production code, four generations

7

LLM providers supported

93.3%

Cross-model transfer efficiency (internal testing)

Tom Killi

Founder & CEO

Tom Killi has built systems that learn from the prediction-outcome loop since 1993.

In 1996, he founded x.hlp Technologies, which developed capture-pair-learn methodology for enterprise training. The company served 30+ Fortune 500 clients including JP Morgan and Shell, plus McKinsey and NATO, and was acquired in 2004. That technology now operates inside SAP.

After building grid analytics and prediction-outcome systems in the energy sector from 2009 to 2019, he founded CleanAim® in 2020 to apply the same methodology to AI. Today CleanAim® Studio builds and maintains AI applications for professional firms.

In 2026 he published Silent Wiring: The Hidden Failure Mode in AI-Generated Code. It documents what he found when he pointed behavioral verification at his own codebase, and 21 independent incidents like it at Google, Uber, Cloudflare, Knight Capital and others. More about the book at silentwiring.com.

More about Tom, and everything he has built, at tomkilli.com.

1993

Learning Systems Since

2001

Patent, cited by Microsoft, Apple, Samsung, IBM

30+

Fortune 500 Clients

The AI prepares. Your people decide and sign.

We build AI applications that do the recurring work behind a firm's deliverables the way the firm does it, and we keep them current. Every figure can be checked against its source, and every decision and signature stays with the firm's people.

Verification over documentation
Documentation describes what should happen. Verification proves what actually happens.
Infrastructure over policy
Policies can be ignored. Infrastructure cannot be bypassed.
Independence over integration
Provider tools assess provider systems. Independent tools assess independently.
Honesty over perfection
A system that admits uncertainty is more trustworthy than one that claims certainty.

How we build

Four architectural principles guide everything we create.

Constitutional

Systems that enforce their own rules. Not guidelines that can be ignored, but architectural constraints that cannot be bypassed.

Compound

Continuous improvement, not one-time optimization. Systems that get better every day through the capture-pair-learn loop.

Portable

Intelligence that survives provider switches. 93.3% cross-model transfer (internal testing) means no vendor lock-in.

Honest

Systems that admit when they don't know. A 98/100 score with explanation is more trustworthy than 100/100 that papers over gaps.

Company facts

Legal Entity CleanAim® Holdings Inc.
Location New York
Founded 2020

Tell us which piece of work you'd automate first.

A person reads every enquiry and replies.

Talk to us