Zenzo AnalystLive

Ask your business data anything. Get answers you can check.

Zenzo Analyst turns plain-English questions into governed queries across your databases, apps and files, then shows the chart, the SQL and the sources behind every answer.

Get Started For Free Request A Demo
  • We never change your data
  • Sensitive data hidden before AI sees it
  • Every answer shows its work

Works with the tools you already use

SnowflakeBigQueryPostgreSQLDatabricksSalesforceHubSpotStripeGoogle SheetsZendeskSlack
Before and after

Same question.
3 days or 38 seconds.

Most teams already pay for the data they need. Here’s what getting one answer looks like today, and with Zenzo Analyst.

Without Zenzo3 days
VP Sales Mon 9:12 AM

@data-team can someone pull Q3 bookings vs target by region? Need it for Thursday’s board deck.

Data team Mon 11:40 AM

Added to the queue. We’re backed up until Wednesday.

VP Sales Wed 4:47 PM

Any update? I also need to know why APAC dropped.

Data team Thu 10:05 AM

Here’s the export. The “why” will take a few more days.

q3_regions_v3_FINAL.xlsx
  • The analyst queue. Simple questions wait days for SQL and exports.
  • Numbers without the why. Explaining a change means pulling three tools by hand.
  • AI you can’t verify. Generic AI ignores permissions and can’t show its sources.
With Zenzo Analyst38 seconds
Asked by VP Sales · Mon 9:12 AM
Which regions missed their Q3 target, and why?
AnswerStrong evidence

3 of 8 regions missed target. APAC had the largest gap at −18%.

Why: renewals slipped at two enterprise accounts, and new-logo bookings came in 22% below plan.

APAC−18%
LATAM−9%
Benelux−5%
SalesforceSnowflakeGoogle SheetsSQL attachedPII masked
  • Answers in seconds. Anyone can ask, no ticket needed.
  • The why, not just the what. Drivers found across every source.
  • Every number traceable. SQL, sources and permissions shown.
How it works

From question
to governed answer.

Follow one question through Zenzo, from the moment it’s asked to the answer your team acts on.

Ask
Which accounts are most likely to churn next quarter, and why?
Why did refunds rise?Top deals at risk
Answer

3 accounts are at high risk of churning next quarter, mostly from falling usage and failed payments.

Northwind GmbH86
Lumen Retail72
Harbor Labs64
Risk out of 100 · from Salesforce, Zendesk and Stripe
Alert sent to #cs-team in Slack

You get a plain-English answer with the evidence, and your team gets the alert.

Capabilities

Everything an analyst does.
In one conversation.

From the first question to the weekly report, without writing SQL or waiting on a data team.

Chat with your data

Ask in plain English and get results, charts and suggested follow-up questions based on what came back.

Cross-source queries

Combine data from several sources in one question, with predicates pushed down to each system.

Data engineer“Show revenue by region.”

Self-correcting SQL

When a generated query fails, Zenzo reads the error, repairs the query and retries, with every attempt logged.

Finance lead“Will we hit our Q4 number?”

Forecasts and anomalies

Forecast time series with the model’s accuracy shown, and detect unusual changes with a plain-English summary.

Semantic layer and lineage

Define business measures once, and see exactly which tables and columns every query used.

Support lead“Why are refunds up this month?”

Answers with documents

Add knowledge bases and chat attachments, so answers can draw on policies and reports as well as data.

Operations lead“Tell me the moment revenue dips.”

Alerts and agents

Turn a one-off question into something that watches the business for you: plain-English alerts with cooldowns, scheduled and on-change agents, delivered to Slack, Microsoft Teams, email or webhooks.

Use cases

Built for the teams
that make the calls.

Each team gets answers from the same governed data, with permissions that match their role. See all 10 teams

Finance teams ask

“What’s driving our burn this month?”

  • Variance explained by driver, not just by account
  • Billing reconciled against the general ledger
  • A board-ready summary written from the numbers
Connected sources
XeroStripeChargebeeGoogle Sheets
AI data storySee Finance use cases
Finance
Sales & Revenue teams ask

“Where is next quarter’s pipeline at risk?”

  • Stalled deals flagged with the reason they stalled
  • Forecast against plan, by segment and owner
  • An alert the moment a large renewal slips
Connected sources
SalesforceHubSpotStripeZendesk
Renewal alertSee Sales use cases
Sales & Revenue
Marketing teams ask

“Which channels bring customers who stay, not just leads?”

  • Ad spend joined to pipeline and retention across ad platforms and CRM
  • Cost per retained customer by channel, not cost per click
  • A weekly digest in Slack when a channel’s return drops
Connected sources
Google AdsMeta AdsGoogle AnalyticsHubSpotSalesforce
Channel dashboardSee Marketing use cases
Marketing
Customer Success teams ask

“Which accounts are likely to churn, and why?”

  • Account health built from product usage, tickets and billing together
  • Renewals ranked by risk, with the reasons behind each score
  • An alert to the account owner when health drops
Connected sources
SalesforceZendeskIntercomStripePostgreSQL
Account health dashboardSee Success use cases
Customer Success
Operations teams ask

“Which operational issues are costing us the most?”

  • SLA breaches and ticket spikes traced to their root cause
  • Anomalies detected automatically, with a plain-English summary
  • Watcher agents that check every hour and post to Teams
Connected sources
ZendeskJiraPostgreSQLMicrosoft Teams
Watcher agentSee Operations use cases
Operations
Product teams ask

“Which features keep customers coming back?”

  • Feature usage compared with retention, cohort by cohort
  • The impact of each release on usage, measured automatically
  • Adoption forecasts with the model’s accuracy shown alongside
Connected sources
PostgreSQLGoogle AnalyticsJiraIntercom
Feature adoption dashboardSee Product use cases
Product
HR & People teams ask

“Where are we at risk of losing top performers?”

  • Attrition signals from tenure, leave and engagement data
  • Names and salaries masked for anyone outside HR
  • Row-level access, so managers see only their own teams
Connected sources
KKekaGoogle SheetsSlack
HR-only dashboardSee People use cases
HR & People
IT & Data teams ask

“How do we give every team answers without a queue of data requests?”

  • Governed self-serve, with row-level security and column masking
  • Every query logged in a tamper-proof audit trail
  • A shared semantic layer, so every team uses the same metric definitions
Connected sources
SnowflakeBigQueryDatabricksPostgreSQL
Governed self-serveSee IT & Data use cases
IT & Data
Finance

“What’s driving our burn this month?”

  • Variance explained by driver, not just by account
  • Billing reconciled against the general ledger
See Finance use cases
Sales & Revenue

“Where is next quarter’s pipeline at risk?”

  • Stalled deals flagged with the reason they stalled
  • Forecast against plan, by segment and owner
See Sales use cases
Marketing

“Which channels bring customers who stay, not just leads?”

  • Ad spend joined to pipeline and retention across ad platforms and CRM
  • Cost per retained customer by channel, not cost per click
See Marketing use cases
Customer Success

“Which accounts are likely to churn, and why?”

  • Account health built from product usage, tickets and billing together
  • Renewals ranked by risk, with the reasons behind each score
See Success use cases
Operations

“Which operational issues are costing us the most?”

  • SLA breaches and ticket spikes traced to their root cause
  • Anomalies detected automatically, with a plain-English summary
See Operations use cases
Product

“Which features keep customers coming back?”

  • Feature usage compared with retention, cohort by cohort
  • The impact of each release on usage, measured automatically
See Product use cases
HR & People

“Where are we at risk of losing top performers?”

  • Attrition signals from tenure, leave and engagement data
  • Names and salaries masked for anyone outside HR
K
See People use cases
IT & Data

“How do we give every team answers without a queue of data requests?”

  • Governed self-serve, with row-level security and column masking
  • Every query logged in a tamper-proof audit trail
See IT & Data use cases
Connectors and models

Connect your stack.
Choose your model.

Bring in your databases, business apps, files and knowledge. Zenzo connects read-only, with one-click sign-in for popular apps, and answers across all of them at once.

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Snowflake
  • BigQuery
  • Redshift
  • Databricks
  • ClickHouse
  • Elasticsearch
  • Salesforce
  • HubSpot
  • Stripe
  • Google Analytics
  • Google Ads
  • Meta Ads
  • Slack
  • Jira
  • Zendesk
  • Xero
  • Zoho CRM
  • Pipedrive
  • Intercom
  • Airtable
  • Google Sheets
  • Chargebee
  • Freshdesk
  • Freshworks CRM
  • Razorpay
  • Cashfree
  • Keka
  • CSV
  • Excel (XLSX)
  • JSON
  • Confluence
  • MediaWiki
  • PDF, HTML & Markdown
  • Tableau
  • Power BI
  • Metabase
  • Looker
  • Microsoft Teams
  • Email
  • Webhooks
Choose your AI model
Ollama (local)OpenAIAzure OpenAIOpenAI-compatibleAnthropic Claude
30+ connectors · Read-only access · Don’t see your tool?Request an integration
Security

Governed
by default.

Zenzo Analyst is designed so sensitive data is hidden before AI sees it, and every query respects who is asking.

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.

Read-only connections Data isolated per organization Rate limiting on every endpoint
FAQ

Questions about
Zenzo Analyst.

Still deciding? We’re happy to walk through your own data and questions. Talk to us

Is my data sent to the AI model?

No raw rows. Zenzo Analyst’s privacy firewall keeps result rows out of AI prompts, and the model receives only permitted metadata or masked content.

Which data sources can I connect?

More than 50 connectors across databases and warehouses such as Snowflake, BigQuery, PostgreSQL and Databricks, business apps such as Salesforce, HubSpot, Stripe and Zendesk, and CSV, Excel and JSON files.

Which AI models does it support?

Ollama for local models, OpenAI, Azure OpenAI, any OpenAI-compatible API and Anthropic Claude. Availability depends on your configuration and credentials.

Can one question use data from several sources?

Yes. Cross-source queries combine data from multiple connected systems and push filters down to each one where possible.

What happens if the generated SQL is wrong?

For supported errors, Zenzo reads the database error, repairs the query and retries, recording each attempt so you can review it.

Can I control who sees what?

Yes. Roles control table access, columns can be redacted, hashed or partially masked, and row-level filters limit people to their own data.

What’s available today, and what’s coming next?

Zenzo Analyst is live today, with plain-English questions and follow-ups, cross-source queries, charts and dashboards, alerts and agents, knowledge bases, and row, column and audit controls. Capabilities such as a visual data-prep canvas, PowerPoint export and an agent marketplace are being rolled out. What you can use depends on your plan and configuration.

Get started

Ask your first question
today.

Connect a source, ask in plain English, and see the evidence behind the answer.

Get Started For Free Request A Demo
Read-only connections · Sensitive data hidden before AI sees it

Check out the plans that fit your team or organization.

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