AWS enters the context layer race with a graph that learns from agents, not manual curation

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships automatically, with no manual re-curation needed.
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
MarketWatch

Syntes AI Launches Context Graph, the Execution Layer for Trusted Enterprise AI Agents

NEW YORK, Feb. 17, 2026 /PRNewswire-PRWeb/ -- Syntes AI today announced the launch of its Context Graph, a new enterprise AI layer designed to solve the problem blocking AI adoption at scale: AI can ...
Diginomica

Context graphs unlock a new seam of enterprise knowledge for AI agents

Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity. More than a year ago, ...
Finextra

Context Graphs: AI's Trillion Dollar Opportunity Solved Years Back in CapMarkets

Jaya Gupta and Ashu Garg of Foundation Capital on December 23rd, 2025, introduced the term "context graphs" in Context Graphs: AI’s Trillion Dollar Opportunity The paper describes a framework that ...
Forbes

VCs Say Context Graphs Might Be The Next Big Thing In AI

TOKYO, JAPAN - FEBRUARY 3: Staff members prepare a talk session by SoftBank Group CEO Masayoshi Son and Open AI CEO Sam Altman during an event titled "Transforming Business through AI" in Tokyo, Japan ...
VentureBeat

How Connecty’s AI context mapping could end enterprise data pipeline chaos

Enterprise data stacks are notoriously diverse, chaotic and fragmented. With data flowing from multiple sources into complex, multi-cloud platforms and then distributed across varied AI, BI and ...