Now in private beta

The Support Knowledge Control Plane for SaaS

One governed source of truth for every support answer. Deterministic. Version-aware. Drift-detecting. Replace generated guesswork with canonical knowledge infrastructure.

Canonical answers
Approved, version-bound truth
Drift governance
Stale answers flagged early
Support signals
Tickets become reviewable evidence

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Architecture

Five pillars. One control plane.

Knowledge is the spine. Everything else orbits it.

01Foundation layer

Product Ontology

Model your product as structured entities — features, plans, roles, workflows, states, integrations, errors. Not documents. Not tags. First-class concepts with relationships.

02Core engine

Canonical Answer Engine

Governed, versioned, entity-bound answers that replace generated guesses. Same query = same answer. Every time. Deterministic retrieval without generation.

03Control plane

Drift Governance

Four drift classes detect when answers become stale: version mismatch, signal anomaly, scope conflict, deprecated entity. Nightly automated audits. Advisory, never blocking.

04Self-improvement

Signal Mutation

Support friction — tickets, negative feedback, escalations — becomes structured signals. Signals cluster by entity. Clusters propose knowledge mutations. Humans approve.

05Distribution

API & Integration

Public API for canonical answers. Version-aware retrieval. Drift webhooks. Signal ingestion. Embed Canonica behind your existing support tools — Zendesk, Intercom, custom systems.

How it works

From chaos to canonical in five steps

1

Model your product

Define entities — features, plans, workflows, errors. Build a structured ontology of your product from existing docs.

2

Write canonical answers

Create governed, versioned answers bound to entities. One true answer per concept. Scoped by plan, role, and product version.

3

Retrieve deterministically

Customer queries hit the canonical engine first. Entity matching → version filtering → specificity scoring. Same input = same output.

4

Detect drift automatically

Product changes trigger drift evaluation. Four classes: version mismatch, signal anomaly, scope conflict, deprecated entity. Nightly audits.

5

Evolve from signals

Tickets and negative feedback become structured signals. Signals cluster by entity. Clusters propose mutations. You approve. Knowledge improves.

Why Canonica

Traditional KB vs. Canonica

Knowledge bases store articles. Canonica governs truth.

Capability
Traditional KB / RAG
Canonica
Answer consistency
Different generated output every time
Same query = same answer. Always.
Version awareness
No concept of product versions
Answers scoped to version windows
Staleness detection
Manual review or nothing
4-class drift detection, nightly audits
Knowledge improvement
Ad-hoc article updates
Signal-driven mutation proposals
Product structure
Flat article tags
Entity ontology with relationships
Governance
Anyone can edit anything
Mutation pipeline + human approval
Retrieval method
Probabilistic RAG / vector search
Deterministic entity resolution
Coverage tracking
No visibility
Canonical coverage KPI per entity

Ready to govern your support knowledge?

Canonica is in private beta. We work closely with early design partners to validate the canonical answer model against real support traffic.

Ideal for mid-market SaaS with 5+ support agents and biweekly release cadence.