The data foundation agents can actually trust.
Grunda is the governance layer between your CRM and everything that reads from it. It mirrors your portal, detects what’s wrong, fixes it with human approval, and serves the cleaned-up view to your AI tools through a governed API.
Two forces, moving in opposite directions.
Agents now read your CRM directly.
Through MCP servers and APIs, AI agents score leads, route accounts, draft outreach, and answer revenue questions — straight from CRM data. Every answer inherits the quality of the fields underneath it.
→ More leverage from the same data. Good.The fields underneath haven’t caught up.
Duplicated records, four spellings of one country, two fields for the same concept, owners who left last year. A human hesitates at bad data. An agent answers anyway — confidently, and at scale.
→ Garbage in, confident garbage out.The opportunity and the obstacle are the same dataset.
Try asking your CRM these three questions.
They sound trivial. In most CRMs, none of them have a confident, single answer.
If the easy questions need manual reconciliation, every agent built on top of them is guessing.
Five steps. One continuous loop.
Connect the CRM. Detect what’s wrong. Approve the fixes. Enforce the definitions. Serve the governed view to everything downstream.
Not a one-time cleanup. A permanent operating loop.
Findings at two levels: the field, and the record
Field level: fill rates, duplicated fields describing the same concept, taxonomy drift splitting one market into four. Record level: duplicate companies and contacts, departed owners, records whose domains stopped resolving. Every finding is ranked and lands in one queue.
- Fill rates: “industry” 66% populated, required at 95% for the segment
- Duplicates: 214 pairs matching on domain + name, winner picked by policy
- Field overlap: two properties tracking “employee count”, one canonical
Every finding is ranked by business impact, ready to be fixed once or enforced forever.
A governed API your agents query instead of the raw CRM
REST for your integrations, MCP for your agents. Both read the governed view: canonical fields, locked taxonomies, normalized values. Every value carries provenance — which raw CRM property it came from, what it superseded, whether a taxonomy rewrote it — and quality metadata, so a caller can tell a solid answer from a guess.
- REST API with per-portal, scoped API keys
- MCP server — plug the governed view into Claude, or any agent framework
- Provenance and quality metadata on every response
{ "name": "Acme Inc", "industry": "SaaS", // normalized by taxonomy "country": "United States", // was "USA" "provenance": { "industry": { "source": "hubspot.industry_new", "superseded": ["industry"], "rewrittenBy": "taxonomy" } }, "quality": { "completeness": 0.94, "openFindings": 0, "lastModified": "2026-08-21T09:14:00Z" } }
Agents stop parsing raw CRM columns. They query the canonical view — with receipts.
Approve a fix once. Grunda enforces it, continuously.
Standing rules run after every sync. The mess never accumulates again.
Runs where you work. Hosted where you need it.
Findings come to you
Notifications land in Slack or Microsoft Teams. Ask Grunda questions from chat — answers run read-only, with your own role and permissions.
Scheduled + webhook syncs
Full syncs on a schedule, incremental syncs continuously, deletion webhooks in between. Portals with hundreds of thousands of records stay current without ever being empty mid-sync.
Self-hosting & data residency
Run the whole backend in your own cloud with Docker, or keep Grunda hosted while your CRM mirror lives in your own Postgres. Your data, your region, your rules.
AI changes the workflow. The foundation decides the outcome.
Answers agents can trust
AI tools query canonical fields and normalized values through the governed API — not raw CRM columns with four spellings of “United States”.One definition of everything
Segments are explicit, stored conditions — not tribal knowledge. “Customer” means the same thing in every dashboard, workflow, and agent.No silent writes
Every change to your CRM is proposed, reviewed, and approved by a human — with full provenance for what changed, why, and from where.A loop, not a cleanup
Scheduled syncs, standing rules, and drift detection keep quality enforced continuously — the mess doesn’t come back three months later.The companies that get this right compound. The ones that don’t will automate their own inconsistencies.
From OAuth to governed answers in a day.
Connect your CRM
OAuth into HubSpot, Salesforce, Planhat, or Pipedrive — read-only until you say otherwise. Grunda mirrors objects, properties, associations, and fill rates. See the setup guide.
Review the findings
A data health score and ranked findings on day one: duplicates, redundant fields, taxonomy drift, coverage gaps — at field level and record level.
Approve, enforce, serve
Approve fixes from the queue, turn them into standing rules, then point your agents and integrations at the governed API instead of the raw CRM.
See what Grunda finds in your own portal
Tell us a bit about your setup and we’ll walk you through Grunda on your own data: what’s broken, what it costs you, and how the loop fixes it permanently.