Detect.Classify.Label.

Classifyre turns messy, distributed source data into governed signals. Connect the systems you already run, detect what matters, classify content and findings, and label data for security, privacy, moderation, and operational workflows.

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Source Types

20+

Databases, lakehouses, collaboration tools, BI, and web content.

Detector Families

From secrets and PII to moderation, quality, and governance tags.

Deployment Modes

1 → N

Docker evaluation, Kubernetes core, then enterprise.

From fast evaluation to enterprise rollout

Start with the single-container runtime to test the workflow, move to the Helm chart when you are ready for a real cluster, and contact us when the rollout needs enterprise controls and commercial support.

01 Evaluate

Bring up the full product locally in one Docker command. Use it for testing, demos, and first-touch evaluation.

Quick start

docker run --rm -p 3000:3000 \
classifyre/all-in-one:0.4.8

Fastest setup, but not the production topology.

All-in-One Docker docs

02 Run in production

Production-ready deployment to Kubernetes using Helm on your own cluster, whether self-hosted or in the cloud.

Helm install

helm install classifyre \
  oci://registry-1.docker.io/classifyre/classifyre-core \
  --version 0.4.8

Production-ready core for Kubernetes clusters, without enterprise authorization, governance, or SLA coverage.

Helm chart docs

03 Add enterprise

Turn the open-source core into a supported platform for regulated, global, and heavily customized deployments.

Authorization, governance, and SLA-backed support for production programsCloud deployment support across Kubernetes and OpenShift estatesMultilanguage support for global compliance and operations teamsCustom sources and detectors built around your domain and workflows

Scan the systems you already own

Classifyre is built for mixed estates: operational databases, lakehouse and warehouse platforms, collaboration systems, analytics assets, and public-facing content.

Connector docs

WordPress

Slack

S3-Compatible Storage

Azure Blob Storage

Google Cloud Storage

PostgreSQL

MySQL

MSSQL

Oracle

Hive

Databricks

Snowflake

MongoDB

Neo4j

Power BI

Tableau

Confluence

Jira

Service Desk

SQLite

WordPress

Slack

S3-Compatible Storage

Azure Blob Storage

Google Cloud Storage

PostgreSQL

MySQL

MSSQL

Oracle

Hive

Databricks

Snowflake

MongoDB

Neo4j

Power BI

Tableau

Confluence

Jira

Service Desk

SQLite

Source Catalog

Pick connector by category

20 Matches

Databases

Operational and document stores for row and collection scans.

6 Sources

Mongo DB

Scan MongoDB collections for Atlas or on-prem deployments.

Mssql

Scan Microsoft SQL Server tables and views.

My SQL

Scan MySQL tables with detector-ready row sampling.

Oracle

Scan Oracle service objects with optional view lineage.

Postgre SQL

Scan PostgreSQL tables with detector-ready row sampling.

Sq Lite

Scan tables in a local SQLite database file with no server required.

Graph Databases

Graph-native stores with node and relationship traversal.

1 Sources

Neo4j

Scan Neo4j node labels and relationship structure for graph data.

Warehouse & Lakehouse

Analytical compute platforms and catalog-first ingestion.

6 Sources

Azure Blob Storage

Scan blobs from Azure Storage containers with key, SAS, or managed identity auth.

Databricks

Scan Unity Catalog assets, notebooks, and pipelines.

Google Cloud Storage

Scan objects from Google Cloud Storage buckets with ADC or service account credentials.

Hive

Scan Hive tables and views across selected databases.

S3 Compatible Storage

Scan objects from AWS S3, MinIO, Cloudflare R2, Backblaze B2, and other S3-compatible endpoints.

Snowflake

Scan Snowflake tables and views with flexible authentication.

Web & UGC

Public-facing websites and user-generated content.

1 Sources

Word Press

Connect to WordPress to scan posts and pages.

Collaboration

Team communication and workspace activity streams.

4 Sources

Confluence

Scan Confluence spaces, pages, comments, and attachments.

Jira

Scan Jira issues, comments, links, and attachments.

Service Desk

Scan Jira Service Management requests, comments, and attachments.

Slack

Connect to Slack to scan channel messages.

Analytics & BI

Dashboards, reports, and business intelligence assets.

2 Sources

Power BI

Scan Power BI workspaces, datasets, reports, and dashboards.

Tableau

Scan Tableau workbooks and datasources.

From built-ins to your business language

Built-in detectors cover the risk, moderation, and governance paths teams need first. Then you can layer your own glossary, business tags, and operational routing on top.

Detector Catalog

Pick detectors by category

6 Matches

Secrets & Credentials

Credential leaks, code issues, and high-risk security signals.

2 Detectors

CODE SECURITY

Code Security

Identifies vulnerabilities or insecure patterns in source code (e.g., hardcoded secrets).

SECURITYTHREAT

SECRETS

Secrets

Detects confidential credentials like API keys, tokens, or passwords that could lead to security breaches.

SECURITYCOMPLIANCE

Privacy & PII

Personal data detection, OCR privacy, and de-identification checks.

1 Detectors

PII

Identifies personal data (e.g., names, emails, IDs) that must be protected for privacy and compliance.

PRIVACYCOMPLIANCE

Threats & Attacks

Active threat indicators such as prompt injection attacks.

1 Detectors

YARA

Uses security rules to identify known malware patterns or suspicious file content.

THREATSECURITY

Content Quality

Spam, duplicates, plagiarism, readability, and language quality signals.

1 Detectors

BROKEN LINKS

Broken Links

Finds non-working or invalid links that reduce content quality and user trust.

QUALITY

Classification & Tagging

Domain, content type, sensitivity tiers, and jurisdiction tagging.

1 Detectors

CUSTOM

Custom

User-defined rules and pipelines tailored to specific business needs. Supports regex, GLiNER2, LLM, text classification, image classification, feature extraction, and object detection pipelines.

CLASSIFICATIONCOMPLIANCE

Business glossary that actually runs

Turn Classifyre into a tagging system built around your own language. Name the concepts that matter to revenue, operations, compliance, or support, then detect them across documents, tickets, chats, dashboards, and public content.

Custom detector docs

Strategic accountRenewal riskPartner pricing languageRegulated vendorExecutive escalationCampaign theme

RULESET

Lock in exact business rules

Match policy phrases, internal codes, contract clauses, campaign markers, and other deterministic patterns with regex or keyword rules.

CLASSIFIER

Tag meaning, intent, and tone

Create contextual labels for things like renewal risk, promotional content, escalation language, or category intent, then improve them with reviewed examples over time.

ENTITY

Pull the entities your team tracks

Extract parties, products, locations, IDs, jurisdictions, owners, and other domain-specific entities using labels written in your own language.

How teams use it

Define the business terms and tags your teams already use.
Choose rulesets for exact patterns, classifiers for context, and entity extraction for named items.
When a match lands, attach fields like owner, amount, clause, date, or routing metadata for downstream action.

After a match

Capture the fields downstream teams need for triage, routing, and reporting.

contract partyrenewal daterisk clauseregionowneramount

See the assistant drive setup

The assistant narrows scope, stages source and detector configuration, and returns an exact operating plan instead of leaving the user in a generic chat loop.

Classifyre Assistant

Example walkthrough

Playback is showing a realistic assistant-led setup conversation.