Backboard, an AI startup, emphasizes that benchmarks should serve as tools for improving products rather than trophies for marketing. The company published an R-CLI result of 84.3% on Terminal Bench 2…
Backboard has added support for OpenRouter's automatic model selection and per-request provider selection, giving developers two independent routing controls. The feature allows users to set the model…
Backboard, a Canadian AI infrastructure company, reported a 99.95% score on the LoCoMo memory benchmark by post-training memory directly into model weights, rather than using retrieval. The company pr…
Backboard, a startup from Nepean, Ontario, has submitted its CLI coding agent to the Terminal-Bench 2.1 leaderboard, scoring 85.4% ± 0.8% with a pass@5 of 0.888, surpassing published results from Clau…
Backboard has launched Backboard Development Studio, an open beta coding harness that uses a memory-first architecture to outperform frontier AI models while relying on open-source models. The system,…
Backboard has achieved the top position on both the LoCoMo and LongMemEval benchmarks for long-term AI memory, a feat no other system has matched without modifying the original evaluation guidelines. …
Backboard has introduced a single-parameter memory system for LLMs, replacing the typical multi-step pipeline of embedding extraction, vector storage, and similarity search. By setting `memory` to `"A…
Backboard has launched a unified API that lets developers consolidate API credits from OpenAI, Anthropic, Gemini, and xAI into a single endpoint with free state management. The platform, supported by …