Zenzo Analyst
Ask what IT and Data asks every week
The same plain-English interface, pointed at your own platform.
Zenzo for IT & Data
Give every team answers without opening the warehouse.
Data teams become a help desk for questions that should take minutes. Zenzo lets business teams serve themselves on governed data, while you keep control of access, definitions and every query that runs.
- Read-only connections
- Sensitive data hidden before AI sees it
- 30+ connectors
Connects to the tools IT and Data teams already use
Snowflake
BigQuery
Databricks
Redshift
PostgreSQL
MySQL
ClickHouse
MongoDB
Tableau
Power BIBefore and after
Self-serve,
on your terms.
Business teams get speed. You keep control.
TodayManual work
Data engineer · the usual way- Ad-hoc requestsA queue of “quick questions” every day.
- Access controlRebuilt separately in every BI tool.
- Cross-source joinsA new pipeline for each question.
- AuditLogs scattered across tools.
With ZenzoEvidence attached
Data engineer · with Zenzo- Ad-hoc requestsBusiness users ask directly, inside the rules you set.
- Access controlRow and column rules applied once, to every query.
- Cross-source joinsFederated queries with filters pushed down to each source.
- AuditOne signed audit trail, exportable to CSV.
How it works
From question
to answer you can check.
Follow one IT and Data question through Zenzo, from the moment it’s asked to the evidence behind the answer.
Ask
Join a warehouse table to a SaaS app without a pipeline.
Which sources are slowest to answer?Did anyone try to query a masked column?
Answer
Join a warehouse table to a SaaS app without a pipeline.
A federated query that pushes filters down to each source and shows the plan.
Answered with Zenzo Analyst · from Databricks and Salesforce
Evidence attached · sources and query shown
You get a plain-English answer with the evidence attached.
Questions with proof
Platform questions,
answered from the logs.
The same plain-English interface, pointed at your own platform.
Did anyone try to query a masked column?
Audit entries where masking or denial was applied.
Join a warehouse table to a SaaS app without a pipeline.
A federated query that pushes filters down to each source and shows the plan.
Tell us when a key table stops updating.
A data-change trigger that alerts when a table’s row count stops moving.
Where is this metric defined, and who owns it?
The definition from your data docs, cited, with its owner and review date.
Move a Tableau workbook into Zenzo.
Answered with Zenzo BI from Tableau and Power BI, with the evidence attached.
Decision rhythm
Less ticket queue.
More governance.
Self-serve only works if the guardrails work every time. These are the moments they matter.
- Every request
Can this person see this data?
Zenzo deliversRow-level and column rules applied automatically to every query, AI-generated or manual.
- Schema changes
What breaks if we rename this column?
Zenzo deliversThe saved queries and dashboards that depend on it, from recorded lineage.
- Weekly
Who is querying what, and is anything unusual?
Zenzo deliversAn exportable audit log with a tamper-evident signature on each entry.
- Tool consolidation
Can we move old dashboards without rebuilding them?
Zenzo deliversImports from Tableau, Power BI, Looker and Metabase, with a migration report.
Where each product fits
Start with Analyst.
Add the rest as you grow.
Zenzo products are built to work together on one platform, so each step builds on the one before it.
Live
Zenzo Analyst
Governed natural-language querying, lineage, federated joins and audit.
Start hereEarly access
Zenzo BI
Dashboards, plus migration tools for Tableau, Power BI, Looker and Metabase.
Learn moreEarly access
Zenzo Knowledge
Data docs and runbooks answered with citations and freshness checks.
Learn moreComing soon
Zenzo Brain
Planned: a coordination layer across Zenzo products with shared context.
Learn moreGuardrails
Switched on
from the first question.
The controls IT and Data teams ask about first, applied to every query and every answer.
Privacy firewall
Only masked schema metadata is sent to the AI model. Sensitive data hidden before AI sees it.
Column-level masking
Give each role full, masked or no access per table, and redact, hash or partially mask sensitive columns.
Row-level security
Per-role and per-user filters are applied to every query automatically, so people only see their own data.
Tamper-proof audit trail
Every action is logged with personal data scrubbed and a cryptographic signature that proves it hasn’t been altered.
Single sign-on
Sign in with Google, Microsoft, Okta or any OIDC provider, with SCIM to add and remove users automatically.
Your model, your keys
Bring your own API key, choose OpenAI, Azure OpenAI or Anthropic, or run local models with Ollama.
Privacy firewallSSO and role-based accessBring your own model
Explore more
Questions rarely stop
at one team.
These pages pick up where this one ends.
By department
By industry
FAQ
Questions from
IT and Data teams.
Still deciding? We’re happy to walk through your own data and questions.
Where do the queries run?
In your sources. Zenzo generates SQL and runs it against your database or warehouse, pushing filters down wherever it can.
Which language models can we use?
Local models through Ollama, or OpenAI, Azure OpenAI and Anthropic Claude. Only masked schema metadata is sent.
What happens when a generated query fails?
Zenzo reads the error, repairs the query and retries a limited number of times, recording every attempt.
Can we embed Zenzo dashboards in internal tools?
Yes. Dashboards can be embedded using time-limited signed tokens.
Get started
Bring your IT and Data
questions.
Connect a source, ask what your team asks every week, and check the evidence behind every answer.
Read-only connections · Sensitive data hidden before AI sees it · 30+ connectorsCheck out the plans that fit your team or organization.
See Pricing