Palette aggregates data from enterprise SaaS tools into a continuously updated organizational graph and provides access through RESTful and GraphQL APIs and a web dashboard. This enables internal applications and generative AI models to query real‑time workflow, ownership, and dependency information, reducing knowledge fragmentation and improving decision‑making.
Funding
€3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
UDFounders
Product
Problem
Organizations often struggle with fragmented knowledge across disparate tools, leading to misaligned teams and inefficient decision‑making. Without a unified, up‑to‑date view of processes, projects, and responsibilities, employees spend time searching for context, and AI assistants lack the data needed to provide accurate, relevant outputs.
Solution
Palette aggregates data from a company’s existing SaaS stack—such as project management, documentation, and communication platforms—and continuously constructs a living “org‑graph” that reflects current workflows, ownership, and dependencies. The platform exposes this structured context through APIs and a web UI, enabling both human users and generative AI models (e.g., ChatGPT, Claude) to query real‑time organizational knowledge. By synchronizing with source tools, Palette keeps the org‑graph fresh without manual curation, reducing the overhead of knowledge management. Integrated AI connectors inject the latest context into prompts, improving response relevance and reducing hallucinations. Teams can receive automated notifications when critical changes occur, ensuring alignment across departments. The solution is delivered as a cloud‑native service with role‑based access controls and audit logging for enterprise compliance.
Target Audience
Palette is aimed at mid‑size to large enterprises that rely on multiple collaboration tools and seek to embed accurate organizational context into their internal workflows and AI assistants, such as product teams, operations groups, and knowledge‑management offices.
Features
- Bi‑directional connectors for popular SaaS tools (e.g., Jira, Confluence, Slack, GitHub) that ingest metadata and events in near real‑time
- Dynamic org‑graph (or “orgtology”) that models teams, projects, deliverables, and ownership hierarchies using a graph‑database backend
- RESTful and GraphQL APIs that expose contextual queries to internal applications and external LLM providers
- Built‑in AI integration layer that automatically enriches LLM prompts with relevant organizational facts and recent activity logs
- Real‑time change detection engine that triggers alerts and notifications for governance or compliance events
- Web dashboard with searchable knowledge map, visual relationship diagrams, and granular permission settings
- Enterprise‑grade security: OAuth2/SAML SSO, role‑based access control, encrypted data at rest and in transit, and comprehensive audit trails