Outreach

Hi there, Saw the signal around yc: pivo technology inc. The visible pain looks like memory and grounding pain. Pivo Technology Inc looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: langfuse. The visible pain looks like research and synthesis memory. Langfuse looks like a fit for research and synthesis memory. RetainDB includes Oracle tree search for hierarchical document navigation and research workflows. RetainDB reports 79% overall accuracy on the LongMemEval oracle split. Main outcome: research agents that remember. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Hi there, Saw the signal around yc: autopallet robotics. The visible pain looks like coding assistant context grounding. AutoPallet Robotics looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Hi there, Saw the signal around yc: pirouette pharma. The visible pain looks like memory and grounding pain. Pirouette Pharma looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Olajide Alameen, Saw the signal around prospect: olajide alameen at test company. The visible pain looks like coding assistant context grounding. Test Company looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Olajide Alameen, Saw the signal around prospect: olajide alameen at bad theory labs. The visible pain looks like coding assistant context grounding. Bad Theory Labs looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Olajide Alameen, Saw the signal around prospect: olajide alameen at bad theory labs. The visible pain looks like coding assistant context grounding. Bad Theory Labs looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Alex, Saw the signal around prospect: alex at whisper. The visible pain looks like memory and grounding pain. Whisper looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: nara. The visible pain looks like agent workflow memory. Nara looks like a fit for agent workflow memory. RetainDB works with any LLM and explicitly names OpenAI, Anthropic, and Gemini on the public site. RetainDB plugs into an existing AI stack in three calls: remember, getContext, and runTurn or captureSession. Main outcome: memory infrastructure for real agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-three-calls, retainedb-sub40-p95, retainedb-any-llm, retainedb-overall-accuracy-79, retainedb-grounded-docs-zero-hallucination, retainedb-canonical-mcp-surface, retainedb-canonical-memory-api, retainedb-zero-rearchitecting, retainedb-tree-search, retainedb-persistent-memory, retainedb-grounded-docs, retainedb-memory-model

Hi there, Saw the signal around yc: serif health. The visible pain looks like memory and grounding pain. Serif Health looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: pivo technology inc. The visible pain looks like memory and grounding pain. Pivo Technology Inc looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm

Hi there, Saw the signal around yc: langfuse. The visible pain looks like research and synthesis memory. Langfuse looks like a fit for research and synthesis memory. RetainDB includes Oracle tree search for hierarchical document navigation and research workflows. RetainDB reports 79% overall accuracy on the LongMemEval oracle split. Main outcome: research agents that remember. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-overall-accuracy-79, retainedb-tree-search, retainedb-canonical-mcp-surface, retainedb-memory-model, retainedb-preference-recall-88, retainedb-grounded-docs-zero-hallucination, retainedb-sub40-p95

Hi there, Saw the signal around yc: autopallet robotics. The visible pain looks like coding assistant context grounding. AutoPallet Robotics looks like a fit for coding assistant context grounding. RetainDB exposes a canonical MCP surface across context, memory, research, indexing, and code capabilities. RetainDB publishes sub-40ms p95 global retrieval latency. Main outcome: grounded coding agents. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-sub40-p95, retainedb-any-llm, retainedb-canonical-mcp-surface, retainedb-tree-search, retainedb-zero-rearchitecting, retainedb-canonical-memory-api

Hi there, Saw the signal around yc: pirouette pharma. The visible pain looks like memory and grounding pain. Pirouette Pharma looks like a fit for memory and grounding pain. RetainDB gives AI teams persistent memory across sessions and answers from grounded docs, not model guesses. Three calls. Persistent memory. Zero rearchitecting. Main outcome: less context rebuilding. If this is useful, I can send a short proof pack or book a call. Claims: retainedb-persistent-memory, retainedb-grounded-docs, retainedb-three-calls, retainedb-zero-rearchitecting, retainedb-any-llm