Context Agent

Your AI Data Governance Manager.

The Context Agent pulls context from all your data systems, creates documentation that’s missing, finds inconsistencies, and keeps everything aligned with your source of truth. It’s the foundation that makes Chat, Deep Analysis, and Automated Reports actually work.

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Trusted by 100+ top teams

Duolingo
Airbyte
BlaBlaCar
Babbel
Choco
Flix

The Problem

AI Without Context Is Just Guessing

Context Is Scattered

Business logic in BI tools and pipelines. Definitions in Confluence and Notion. Scattered across a dozen systems, half of it outdated.

Lengthy Manual Efforts

Consolidating and maintaining up-to-date documentation was a costly overhead for data teams.

Inconsistency Kills Trust

Wrong tables. Wrong logic. Different answers to the same question. Stakeholders lose trust. Adoption dies.

Five Capabilities. One Agent. Trusted Context, Trusted Answers.

Context Studio

Model Dot’s Knowledge Of Your Business

Define metrics, terms, and business rules in a clean interface. Dot uses this as the foundation for every answer.

  • Define metrics with SQL logic and business context
  • Add business glossary terms and definitions
  • Set up playbooks for recurring analysis patterns
Auto Documentation

Generate Missing Documentation Automatically

Context Agent scans your warehouse and BI tools, then writes column descriptions, table summaries, and metric definitions where they’re missing.

  • Automatically document undocumented tables and columns
  • Infer business meaning from code and usage patterns
Source Integration

Pull Context From dbt, Looker, GitHub, and More

Connect to your existing data stack and let Context Agent extract metrics, relationships, and business logic from where they already live.

  • Import dbt models, metrics, and lineage
  • Sync Looker explores, views, and dimensions
  • Read business context from code repositories
Governance

Find and Fix Inconsistencies Across Your Stack

Context Agent compares definitions across systems and flags conflicts, like when “Revenue” is calculated differently in Looker than in dbt.

  • Detect conflicting metric definitions
  • Surface outdated or duplicate documentation
  • Maintain a single source of truth
Version Control

Version Controlled. Human In The Loop.

Every change goes through a sandbox and PR workflow. No changes go live without human review.

  • Sandbox prevents accidental overwrites
  • PR workflow shows exactly what changed
  • Human approval required before merge
  • Full version history with rollback

Before & After

The Difference Is Dramatic

Before

Weeks of manual work

  • Copy-paste from every source system
  • Manually cross-reference definitions
  • Hope nothing changed since you started
  • Context drifts out of sync constantly

With Dot

Days. Actually maintained.

  • Agent pulls from all sources automatically
  • Inconsistencies surfaced and resolved
  • Continuous updates with human approval
  • Context stays aligned with source of truth

Who It’s For

Who It’s For

Heads of Data

Governance that finally scales.

Stop choosing between velocity and data quality. Go from 3 weeks of manual documentation to 3 days.

Analytics Engineers

You didn't become an engineer for this.

Reclaim hours copy-pasting between Confluence and dbt. Context Agent syncs definitions automatically.

Data Platform Teams

AI self-service fails when context is wrong.

Self-service only works if AI has the right context. Context Agent ensures accuracy.

Read how Dot helps great companies be smarter, faster

Choco
18x ROI

“The self-service ability for our least technical and furthest operational stakeholders to answer questions by themselves has increased dramatically since implementing Dot.”

Impact study

Marina Begovic Analytics Manager at Choco

Duolingo
12,000h+ saved

“At Duolingo, we really believe in making data-informed decisions. This means that we want our data to be accessible to all of our employees (Duos), regardless of technical background.”

Impact study

Lavanya Aprameya Senior Software Engineer at Duolingo

Emerge
99% faster

“Team members could just ask Dot a question in Slack and get the answer within seconds – the first time it happened, a lot of us were honestly amazed.”

Impact study

Jeff Albenberg Director of Software Engineering, Emerge

3 weeks → 3 days

Initial documentation

200+

Metrics consolidated in hours

12+

Source systems connected

Every change

Tracked with full audit trail

Security & Compliance

Your data, your rules.

Security documentation

Zero Data Retention

All LLM providers are used with zero data retention policies. Your prompts are never stored or used for training.

Dot queries your warehouse in place and surfaces only the results you request. No data is copied or moved.

ZDR enforced

No training

SOC 2 Type II

Annual audits by independent assessors. Continuous monitoring of security controls.

AICPA SOC

SSO & Role-Based Access

Enterprise SSO with SAML. Granular permissions control who can access what data.

Okta

Entra ID

Google

GDPR & HIPAA

EU data processing with full DPA. BAA available for healthcare data.

GDPRHIPAA

Full Audit Logging

Every query, every answer, every user action. Complete audit trail for compliance.

Questions

Context changes everything.

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