I spent thirty years building systems that turn data into decisions. The first sporting goods store to accept a credit card online. A decentralized warehouse supply chain logistics model before Amazon had one. Then Scale AI — Senior QM of the Code Division, managing the PhDs, engineers, and scholars who built the training data behind OpenAI, Google, Meta, Anthropic, Cursor, Alibaba Qwen, X AI, and Tesla.
When we completed the most critical project in the company's history — the engagement that directly led to Meta's $19 billion investment — they let my entire team go. The admin team had nicknamed me The Savior of Scale. It didn't matter.
I was heartbroken. Not because I lost a job. Because I lost the team I'd built and the mission we shared. My life's work has been a single pursuit — accessing industrial and private data to make better business decisions and stay competitive. That pursuit didn't end, it's evolving into the next phase.
Rob V, Founder
"A good plan, violently executed now, is better than a perfect plan executed at some indefinite time in the future."— General George S. Patton
Searching for the next chapter, I came across those words from Patton. I took them to heart. They became the core of our algorithms.
reconλis does not wait for perfect conditions. We execute, iterate, and ruthlessly improve — rapidly — until our systems achieve success. Every model in the platform retrains with every transaction. Every valuation updates with every data point. Every acquisition makes the next one smarter. The system doesn't pause to deliberate. It acts, learns, and compounds.
This is a company built to help others achieve their career goals, provide value in a new asset category for investors, and impact society for the better. The insurance industry is where we start. It won't be where we finish.
We pull data together to bridge industry and build new markets.
reconλis provides intelligence frameworks for the industries where risk is the product, the portfolio, and the constraint. Our systems unify fragmented data into continuous, actionable intelligence — turning what was invisible into what is inevitable.
Acquisition, valuation, and operational optimization of independent insurance agencies. AI-driven portfolio intelligence built on a unified ontology of financial, policy, claims, and customer data. Risk identification before it becomes loss.
End-to-end deal automation from sourcing through earnout. Continuous valuation models that capture relationship equity traditional multiples miss. Retention-weighted performance tracking that surfaces risk across portfolio companies in real time.
Premium routing, float optimization, and proprietary underwriting powered by operational data from owned portfolio companies. An information advantage for alternative investment strategies that compounds with every transaction.
Every portfolio company is a living object in a Palantir ontology — financial performance, customer behavior, policy data, market conditions — all updating continuously. AIP Agents operate directly on this data to surface insights, automate operations, and improve every model in the system with every transaction.
Six patent candidates under review
"We execute, iterate, and ruthlessly improve — rapidly — until our systems achieve success."