About Knowledge Graphs & Semantic Memory
The Knowledge Graphs & Semantic Memory category is part of the AI Memory & Context market map, tracking 14 companies building in this segment. Long-term memory systems, persistent context windows, retrieval-augmented memory, and personalization layers giving AI continuity across sessions and tasks. Curated by Hartmann Capital's venture research team.
Companies in Knowledge Graphs & Semantic Memory
- Neo4j — Series F, $582M
- TigerGraph — Series D, $174M
- RelationalAI — Series B, $137M
- Graphwise — Acquired
- PuppyGraph — Seed, $5M
- Diffbot — Series B, $24M
- ArangoDB — Series B, $40M
- TerminusDB — Seed, $4.5M
- TypeDB — Seed, $7.5M
- Stardog — Series B, $45M
- Amazon Neptune — Public
- Ontotext — Acquired
- Illumex — Seed, $13M
- WhyHow.AI — Seed
Frequently Asked Questions
- What companies are in the Knowledge Graphs & Semantic Memory category?
- The Knowledge Graphs & Semantic Memory category includes 14 companies: Neo4j, TigerGraph, RelationalAI, Graphwise, PuppyGraph, Diffbot, ArangoDB, TerminusDB, TypeDB, Stardog, Amazon Neptune, Ontotext, Illumex, WhyHow.AI. This is part of the AI Memory & Context market map maintained by Hartmann Capital.
- How many Knowledge Graphs & Semantic Memory startups are tracked?
- Hartmann Capital tracks 14 companies in the Knowledge Graphs & Semantic Memory segment of the AI Memory & Context market map.
- What are the best funded Knowledge Graphs & Semantic Memory companies?
- Top funded companies in Knowledge Graphs & Semantic Memory include Neo4j ($582M), TigerGraph ($174M), RelationalAI ($137M), Stardog ($45M), ArangoDB ($40M). Browse the full list in the AI Memory & Context market map.
- How can I submit my startup?
- You can submit your startup for inclusion by visiting the submission page. Submissions are reviewed by Hartmann Capital's research team.