About Memory-Augmented AI Models & Research
The Memory-Augmented AI Models & Research category is part of the AI Memory & Context market map, tracking 12 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 Memory-Augmented AI Models & Research
- OpenAI — Series E, $10B
- Meta FAIR — Public
- Microsoft Research — Public
- Databricks — Series J, $4.1B
- Redis — Series G, $347M
- MongoDB — Public
- Couchbase — Public
- SingleStore — Series F, $260M
- MotherDuck — Series B, $52M
- Neon — Series B, $104M
- Rockset — Acquired, $105M
- ClickHouse — Series B, $250M
Frequently Asked Questions
- What companies are in the Memory-Augmented AI Models & Research category?
- The Memory-Augmented AI Models & Research category includes 12 companies: OpenAI, Meta FAIR, Microsoft Research, Databricks, Redis, MongoDB, Couchbase, SingleStore, MotherDuck, Neon, Rockset, ClickHouse. This is part of the AI Memory & Context market map maintained by Hartmann Capital.
- How many Memory-Augmented AI Models & Research startups are tracked?
- Hartmann Capital tracks 12 companies in the Memory-Augmented AI Models & Research segment of the AI Memory & Context market map.
- What are the best funded Memory-Augmented AI Models & Research companies?
- Top funded companies in Memory-Augmented AI Models & Research include OpenAI ($10000M), Databricks ($4100M), Redis ($347M), SingleStore ($260M), ClickHouse ($250M). 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.