We exited a FinTech company in 2020 and have been working with AI ever since — from machine learning and data infrastructure to building production agentic systems before the major platforms shipped their own.
We have been entrepreneurs, raised capital, built products, and built again because we have conviction about where these systems are heading and what that means for organizations operating under real constraints.
After exiting a FinTech company in 2020, we spent years working with AI — from machine learning and large-scale data in financial services to the agentic frameworks that emerged in 2023. We tested every major platform — AutoGPT, AutoGen, CrewAI — and found them all deficient for real production work. So we built Promethia, a multi-agent orchestration framework that coordinates AI agent teams through complex workflows, manages context across long-running tasks, adjusts plans mid-execution, and synthesizes results into professional deliverables. It shipped months before frontier players launched their own deep research tools. That experience is what now lets us deploy faster with fewer surprises.
Most AI consultancies started learning this space after ChatGPT. We were already deep in it — years of ML work, followed by hands-on testing of every major agentic framework before building our own. Most firms sell strategy. We deploy infrastructure. We are builders, and we are building our own company alongside yours. When we talk about operating value, it is because we have had to produce it ourselves. And because we have raised capital and exited, we understand what that value looks like when investors are measuring it.
PE operating partners deploying AI across portfolios to create measurable hold-period value. VC-backed founders who need to ship faster with smaller teams. CEOs and CTOs of mid-market companies under pressure to operationalize AI, with or without a sponsor behind them.
Clay Turner
Co-Founder
Clay is a founder-operator focused on translating AI architecture into measurable operating outcomes. He works directly with leadership teams on deployment strategy, governance design, and execution cadence.
Michael Browning
Co-Founder
Michael partners with executive and technical teams to turn complex workflows into production systems that teams can run day to day. His focus is durable implementation, not pilot theater.
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