Financial infrastructure for AI agents
AI-powered data transformations for roll-ups
We make it easy for AI agents to buy anything on the internet. For example, if a user asked an AI agent to buy a book on an e-commerce site, we handle the purchase via our Purchasing API. AI agents are poised to elevate the way we shop, but they aren’t reliably making purchases today. We’re changing that by bringing uniformity to non-uniform checkout flows across the internet. Our expertise is at the intersection of payments and e-commerce. Angelica was a staff engineer at Stripe, driving API evolution, design, and governance across payments products. Scott was a senior investor at Sycamore Partners, investing in and partnering with leading consumer companies. Our solution will enable AI agents to make payments of every kind, including e-commerce (e.g., Amazon, eBay), consumer services (e.g., Uber, DoorDash), and B2B (e.g., supplier payment). In the US e-commerce market alone, there are 10B transactions every year, representing a significant opportunity for us. We have already onboarded multiple AI agent customers who have thousands of monthly users and have begun integrating them to power their e-commerce purchases.
We use AI to streamline data integrations for mergers & acquisitions (M&A), with a focus on private equity (PE)-backed roll-ups. We take messy data (e.g., customer, financial, operational) that sits across disparate systems in different formats and use LLMs to unify, clean, and enrich it. Our approach expedites speed to value capture post-acquisition without distracting management teams or requiring expensive data engineering resources. Our experience is at the intersection of finance x tech. With an increasingly competitive M&A marketplace driven by $0.5T+ of dry powder, clean, usable data is a massive competitive advantage throughout the investment cycle – in diligence, to make informed investment decisions; in value creation, to execute the strategic plan quickly and confidently; and in exit, where better data leads to better outcomes. We’re on a mission to make AI useful for any company with messy data.
The old product automated e-commerce purchases for AI agents, while the new product uses AI to unify and transform data for M&A/roll-ups—completely different product, market, and problem. This is a clear and total pivot.