Adam Kalamchi

AI Transformation & Data Infrastructure
Founder & CEO

I'm an AI transformation and data infrastructure operator.

Mostly that means I go into messy, data-heavy industries and rebuild the systems underneath, so the data can finally be trusted and used. So far that's been real estate, mortgage, insurance, and consumer credit.

I was a math-and-science kid who took the long way around through economics and business, and lately I'm being pulled back toward deep tech and the physical sciences, where the hard part is the technology itself.

In my spare time, I'm developing Robot Dojo, an open-source personal AI system that creates durable chat memory and builds apps on top of your data. This site is where I've collected my writings, projects, and papers.

Adam Kalamchi
Previously
McKinsey & Company BCG Mubadala Staircase

About Adam Kalamchi

Adam Kalamchi is an AI transformation and data infrastructure operator. He goes into messy, data-heavy industries and rebuilds the systems underneath so the data can be trusted and used. His work has spanned real estate, mortgage, insurance, and consumer credit, and he is now pivoting toward deep tech and the physical sciences.

Career Timeline

McKinsey & Company (2005–2009) — Business Analyst in Florham Park, NJ. Private equity due diligence and consumer strategy. Built proprietary econometric models to isolate marketing ROI by controlling for promotional lift, cannibalization, and competitive dynamics.

Mubadala / ATIC (2009–2011) — Portfolio Operations Associate in Abu Dhabi, UAE. Advanced Technology Investment Company (ATIC), Abu Dhabi's tech investment arm, later merged into Mubadala. Managed integration of AMD manufacturing assets into GlobalFoundries, which became the #2 contract semiconductor manufacturer worldwide. Led approval of a $1.5B equity-funded capacity expansion in Dresden, Germany. Total equity invested in GlobalFoundries: $10B.

Columbia Business School (2011–2013) — MBA. 1st Place, Columbia Venture Capital Investment Competition. President, InSITE (startup advising organization).

RRE Ventures (2013–2014) — Entrepreneur in Residence in New York. Fintech and consumer diligence for General Partners. Supported portfolio companies including Bark, Payfone, and DriverUp. Incubated Brilliant Bicycles.

Brilliant Bicycles (2014–2017) — Co-Founder & CEO in Los Angeles. Raised $2M seed from 50 angel investors. Engineered end-to-end global DTC supply chain. Sale to Priority Bicycles.

Thrive Market (2016–2017) — Director, Operations Strategy in Los Angeles. Interface between corporate strategy and fulfillment automation. Developed $4M investment case for automated sortation systems.

BCG (2018–2019) — Principal in New York. Led 25-person team through 14-week Freddie Mac innovation sprint covering the entire residential mortgage value chain. Secured $15M in internal funding for two concepts. This work directly catalyzed the founding of Staircase.

Staircase & Elephant (2020–2025) — Co-Founder & CEO. Built a vertically integrated data utility that pulled property records straight from the county source, proven on Florida's 10.5M properties at 100x cheaper than incumbents, architected to scale to all 3,100 U.S. counties. Tokenized 10.5M properties onchain with real-time pricing and automated validation at $0.01 per property per year. Shipped an agent-first mortgage broker that automated extraction and underwriting of unstructured loan data, delivering 100 bps in consumer rate savings. Built a vendor orchestration engine for a top-3 national lender driving $10M in annual savings. Shipped SOC 2-compliant enterprise APIs with 100+ integrations. Built an engineering team of 150 across North America, South America, Europe, and MENA over six years. Raised $33M from Bessemer Venture Partners, RRE Ventures, and MetaProp.

Point72 / Värde-backed Specialty Finance Platform (2025–2026) — Interim Chief Data Officer. Improved operating margins by 1,000 bps in six months, taking a $120M+ run-rate business from unprofitable to profitable. Built ML pricing and valuation models delivering a 40% lift over the historical baseline. Designed an agent-driven data exchange portal enabling self-serve onboarding in under a month. Deployed 50+ AI agents. Rebuilt portfolio projection curves and forecasting, unlocking a 400 bps reduction in cost of borrowing via a new source of bank capital. Re-architected the core platform, product, and data stack.

Education & Awards

Harvard College — AB Economics, cum laude (2001–2005). Rhodes Scholarship State Finalist. Varsity Track & Field (400m). Kirkland House Service Award.

Columbia Business School — MBA (2011–2013). 1st Place, Columbia Venture Capital Investment Competition. President, InSITE.

Research & Publications

Quantified $234.8B in annual U.S. real estate transaction costs representing 16.3% of average home value. Mapped 89% cost reduction path through decentralized infrastructure. Per-transaction savings of $60,010. Published two white papers: Elephant Protocol (decentralized infrastructure for real estate truth) and Bitstrapping (Bitcoin-native funding for decentralized protocols).

Expertise

AI transformation, data infrastructure, AI agents, agentic engineering, deep tech, real estate technology, mortgage infrastructure, insurance, consumer credit, semiconductor investing, decentralized protocols, property data infrastructure, blockchain tokenization, enterprise API architecture, venture capital, private equity due diligence, SOC 2 compliance, LLM agentic workflows.