We Build Trust Between People and the AI Systems That Affect Their Lives
Founded in Austin, Texas in 2024, AIClarum is on a mission to make every AI decision explainable, auditable, and fair.
Why We Built AIClarum
When Lisa Anderson left her role as a senior policy director at the White House Office of Science and Technology Policy, she had spent three years co-authoring the AI Bill of Rights. She had seen firsthand how organizations deploying AI systems struggled to explain their decisions — not because they were hiding anything, but because the tools to do so simply did not exist at scale.
She partnered with Thomas Berg, who had spent a decade at IBM Research building the open-source explainability tools that data science teams worldwide depend on, and Diana Okonkwo, whose 15-year career spanned the drafting of the EU AI Act's technical annexes and advising Fortune 500 companies on AI governance.
Together, they founded AIClarum in 2024 with a single purpose: to give every organization the tools to make AI genuinely transparent. Not just checkbox compliance — real explainability, measurable fairness, and audit trails that hold up under regulatory scrutiny.
Backed by First Round Capital with a $4M Seed Round in October 2024, AIClarum is building the infrastructure for the next decade of trustworthy AI.
Principles That Guide Every Product Decision
Radical Transparency
We practice what we build. Every commitment we make to customers is backed by auditable evidence. No vague claims, no black boxes in our own processes.
Human-Centered Design
Our explanations are built for the people who receive AI decisions — loan applicants, patients, job seekers — not just the engineers who built the models.
Fairness as a Feature
Bias detection and fairness monitoring are built into our core platform, not treated as add-ons. Equitable AI is achievable with the right tooling.
Compliance by Design
Regulatory documentation should emerge naturally from operating a well-monitored AI system — not be assembled manually at audit time.
Data Minimization
We explain AI decisions without ever needing access to your underlying training data. AIClarum operates on model outputs and metadata, protecting your IP.
Regulatory Credibility
Our platform is reviewed by the same policy experts who helped draft the regulations it automates. You can present AIClarum outputs directly to regulators.
Investors Who Believe in Responsible AI
In October 2024, AIClarum raised a $4M Seed Round led by First Round Capital — one of the most respected early-stage technology investors in the United States.
First Round Capital has backed transformational companies including Uber, Square, and Warby Parker. Their investment in AIClarum reflects a conviction that AI transparency infrastructure is one of the defining technology challenges of the coming decade.
"AIClarum is building the trust layer that enterprise AI has been missing. Lisa and her team have the rare combination of policy credibility and engineering depth to make AI genuinely auditable."
— First Round Capital Investment Memo, October 2024
$4M
Seed Round
October 2024
First Round Capital
Lead Investor
Start Your AI Transparency Journey
Book a personalized demo and see how AIClarum can bring clarity to your AI systems.
Book a Demo Meet Our Team