Overview
News
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Team
201-500
employees, estimated range
Backers
3
Better Capital, Hyderabad Angels
Momentum
15/100
rising traction
Last sign of life
2 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Oct 2026
Passed 10k GitHub stars
Tractionpublic signals, read monthly
Web presence
top 8%
of 133.2M domains by links, Common Crawl
Hacker News stories
3
best: 2 points
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
Similar startupsby what they do, their industry and backers

Experience high-performance graph computing with Memgraph — the scalable, in-memory graph database solution compatible with Neo4j.

Leverage Noetica's AI platform and knowledge graph ofdealtermstobenchmark, negotiate, and assess risk across complextransactions.

Oxford Semantic Technologies is an AI and Knowledge Graph Tech start-up from Oxford University. RDFox is the rules-based AI and world’s…

Fostr connects your business data, tools, and goals into one AI context layer. Deploy agents, build knowledge graphs, and automate…

Neuron Factory unites preconstruction data in one AI-native knowledge graph, helping estimators, GCs and risk teams make faster better…

Knowledge graphs, vectors, temporal, and full-text search in one Rust engine — for agent memory, RAG, and company brains. Build memory…
News
AI Context Graph Infrastructure: Own Your Ontology - HydraDB
AI context graph infrastructure for agent memory. Learn why your ontology, schema, provenance, temporal state, and permissions should remain yours.
Read more
Report
Perplexity Brain Is a Context Graph. That
Perplexity Brain stores sessions, corrections, and tool traces as a context graph. Why stateful AI agent memory is a graph problem, not a vector search problem.
Read more
Report
Nishkarsh (@contextkingceo) on X
We've raised $6.5M to kill vector databases.Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest.Similar, sure. Relevant? Almost never.Embeddings can't tell a Q3 re
Read more
Report

Better Capital
Hyderabad Angels
Incisive Ventures 




