context-management
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Conor Twomey
Conor Twomey is the co-founder and CEO of AI One, a New York-based enterprise AI startup he launched in 2024 with Fergus Keenan to close the 'context gap' that stalls corporate AI projects. An Irish national with a background in computational finance, he spent seven years at data-analytics company KX, rising to Head of AI Strategy and Managing Director for North America before leaving to build software that plugs AI into systems like Salesforce and Workday without costly data migrations. AI One raised $11 million, including a $7 million Series A led by Vestigo Ventures.
AI One
AI One is a New York-based enterprise software company that builds an Enterprise Context Management (ECM) platform - a lightweight layer that sits beneath enterprise AI and agentic applications. Rather than forcing companies to migrate data into a new lake or warehouse first, AI One connects directly to the systems large organizations already run (Salesforce, Workday, on-premise databases, APIs and documents), resolves entities across fragmented data, and enforces security and permissions so AI operates with real business context instead of guessing. Founded in 2024 by Conor Twomey and Fergus Keenan, the company targets Fortune 500 firms in financial services, healthcare, insurance, energy and private equity, and raised $11M total including a $7M Series A led by Vestigo Ventures.
Letta
Letta is a San Francisco AI research lab and platform for building stateful agents - AI that remembers, learns, and improves itself over time. Spun out of UC Berkeley's Sky Computing Lab from the viral MemGPT project, Letta gives developers an open framework, API, and cloud service where agent state (memories, messages, reasoning, tool calls) is persisted in a database rather than lost when it falls out of the context window. The company positions itself as the open alternative for developers who want to build agents that behave less like stateless chatbots and more like continuously learning digital collaborators.
Charles Packer
Charles Packer is the co-founder and CEO of Letta, the San Francisco startup building the memory layer for AI agents. He is the original author of MemGPT, the viral research project that reframed large language models as operating systems that manage their own memory. A UC Berkeley computer science PhD out of the BAIR and Sky Computing labs, Packer walked away from offers at OpenAI and Google DeepMind to build stateful agents that remember, learn, and improve after deployment - the layer he argues sits above the base models and separates a real agent from a chatbot with a nice interface.