The source gives the funding amount, round, and benchmark results, showing how a memory startup for AI agents positions its product against rivals.
Memory is one of the biggest open problems for AI agents right now.
Graphon builds one graph across a company's documents, emails, images, and videos without a hand-made schema, so new data does not break it.
On LoCoMo, it reaches 94% accuracy with only 7.9K tokens of context, higher than giving a frontier model the full history. It is also #1 on ATM-Bench, which tests years of real emails, photos, and videos.
After years working on robot memory at @NASAJPL, @GoogleDeepMind , @Meta and @nvidia, @clarkzhango and I kept asking: why does AI still forget? Today, with @deepakmishraVC, we’re announcing @GraphonAI and our $35M Series A just 6 months after our seed. • #1 on ATM-Bench, ATM-Bench Hard • 94% on LoCoMo • 84% on DolphinBench, 10x cheaper • A new cost-accuracy frontier across 7 benchmarks https://www.businessinsider.com/graphon-pitch-deck-funding-ai-agents-amnesia-2026-10
elvis · x.comPublished · added here
Original title: Memory is one of the biggest open problems for AI agents right now.
