Interloom
German startup. Captures how real work is performed across enterprise systems and teams; converts process knowledge into a persistent memory layer agents use to automate complex workflows. Targets the tacit-knowledge gap that agents currently lack.
At a glance
- Type
- Enterprise tacit-knowledge memory
- Tier
- T1
- Section
- Dedicated memory layers
- Created
- 2026-03
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Enterprise pricing; no setup fees; fixed-price per interaction (contact sales)
- Funding
- $16M total Seed · 2026-03
Taxonomy
- storage
- proprietary
- retrieval
- extraction-pull
- persistence
- long-term
- update
- extraction
- unit
- skill
- governance
- auditable
- conflict
- none
When to use
Optimised for: enterprise tacit-knowledge capture + governance
Anti-fit: not for consumer / individual use
Pros & cons
Pros
Memory-as-context-orchestration positioning — focuses on what to inject when, not just what to store.
Cons
Newer entrant with limited track record; orchestration framing may overlap with what LangGraph and similar tools already address.
Claims & capabilities
$16.5M seed (March 2026, DN Capital). Customers: Zurich Insurance, JLL, Fiege, Commerzbank, Volkswagen. Processing millions of enterprise cases.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Three modes: managed multi-tenant cloud; dedicated single-tenant; BYOM (bring your own model/endpoints)
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- not documented publicly
- A2A
- not documented publicly
- OpenTelemetry
- not documented publicly
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Memvid T2
Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).
- Supermemory T1
Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.