From fragmented data to trusted decisions.
Compass connects fragmented data into a living context graph, puts AI agents to work on it, and delivers decision-ready outputs — reports, decks, dashboards and spreadsheets — with every claim traced to its source.
From fragmented signals to explainable action. One intelligence engine, configured around your domain.
The signal is already there. The context is missing.
Organizations do not fail because they lack data. They fail because the data is fragmented across systems, formats and teams. Critical relationships remain invisible. Weak signals are missed. Strong alerts create noise. Decisions are made on partial context.
- 01
Data lives in silos
CRM, ERP, emails, registries, documents, transactions and external sources each hold a partial version of reality.
- 02
Relationships are invisible
The real answer often sits between entities: who controls whom, which pattern repeats, which stakeholder changed, which counterparty is connected.
- 03
Alerts lack context
Traditional systems raise signals in isolation. Analysts and operators spend time deciding whether the alert matters.
- 04
Decisions need reasons
Strategic teams need more than scores. They need source-level evidence, explainable recommendations and an audit trail of why a decision was made.
One engine. Four surfaces. From raw data to finished deliverables.
Compass is not vertical in the code — it is vertical in the configuration. Four product surfaces run the same continuous loop for every decision domain.
Everything your organization knows, in one place.
Continuous, bidirectional ingestion from the systems where your reality actually lives — operational platforms, communications, meetings, documents, registries and 200+ curated open sources. Multimodal by design: text, tables, audio, transcripts.
Compass is not a parallel silo — it enriches the systems you already use.
The intelligence layer.
At the core sits a configurable ontology: your domain's entity types — companies, people, deals, programs, assets, events — and the relationship types allowed between them. Defined in configuration, not code.
- Entity resolutionThe same person in an email, a CRM record and a news article is recognized and merged into one node.
- Automatic relationship mappingEvery message, meeting, transaction and document becomes typed edges — who advises whom, who owns what, who met whom, who supplies what.
- Compounding memoryEach new source enriches the graph permanently. Knowledge stops leaving when people do.
Skills that work on your graph.
Configurable AI agents — Skills — run continuously on the Context Graph: they monitor, correlate, alert and recommend, automating the low-value work so your experts spend their time deciding, not assembling.
Start from a template, configure it to your ontology, deploy it to a team. No data engineers required.
From intelligence to deliverables.
The last mile of every decision is a document. Studio turns the graph into finished outputs — presentations in your design system, spreadsheets, briefs, reports and memos — generated, not assembled.
Every number traced to its source. Every claim carries its evidence chain.
One engine. Configured for your world.
The same graph, agents and studio — shaped around your industry's entities and your team's decisions.
More signal. Less noise. Better outputs.
Compass does not just organize data. It raises the productivity of commercial, risk and operations teams by automating the tedious work of connecting signals, resolving entities and building evidence. And it raises the quality of every output — from a brief to a board deck — by grounding every claim in traceable context.
Designed for organizations that cannot outsource trust.
Compass is built for strategic industries, regulated environments and organizations that require control over their data, models and deployment. European by design, privacy-first by architecture, available in cloud, private cloud and on-premise configurations.
See what your data is trying to tell you.
In 30 minutes, we will show how Compass can connect your data, reveal non-obvious relationships and turn them into explainable priorities for your team.
