Backboard.io, a company providing a unified API for managing memory across large language models (LLMs) and small language models (SLMs), has secured $2.0 million in new funding. The investment will support the company's mission to simplify AI application development by addressing critical challenges related to fragmented APIs, ephemeral context, and data privacy. Backboard offers developers a single stateful interface designed to make memory portable, infinite, and secure across various AI conversations, assistants, and agents.
The company's platform tackles one of the most complex problems in AI application development: memory. By abstracting memory from specific models or providers, Backboard enables context to persist across sessions and applications, mitigating privacy risks often associated with foundation models. Its current offering includes a stateful API that allows conversations to endure across different models and built-in Retrieval-Augmented Generation (RAG) for connecting knowledge bases. Upcoming features include portable memory by October 7 and infinite, anonymized memory by January 1, ensuring users retain ownership of their data.
This capital infusion is significant for Backboard.io as it aims to accelerate its product roadmap and expand its operational capabilities. The funds are planned to be deployed towards enhancing its core technology, scaling its infrastructure, and growing its engineering and development teams to meet increasing demand from developers, startups, and enterprises. Backboard positions itself as a foundational layer for AI, akin to how Stripe abstracted payments or Twilio abstracted telecom, by abstracting AI memory and orchestration.
The company's leadership believes this investment will enable Backboard.io to further establish its presence in the rapidly evolving AI ecosystem. It underscores the growing need for robust, privacy-first solutions that support the development of advanced, multi-model AI applications, paving the way for broader adoption and innovation in the sector.
