Don’t just pull your data. Use it.
An AI analyst that answers the hard questions and builds the decks, memos, and Excel models to back them up.
Trusted by data teams at enterprise scale
But six months into building a semantic layer, your agents still improvise numbers, context drifts across siloed md files, and definitions only improve when someone updates them by hand. So the business stops trusting the answers and goes back to filing tickets, and your data team now maintains a context layer on top of the queue it was supposed to replace.
01 · ASK ANYTHING
Zenlytic runs inside Claude, ChatGPT, Teams, and Slack, or in our own app when someone wants to go deeper. Same governed answer in every one of them, so nobody learns a new tool to ask a question.
| Channel | Spend | Net loss/gain | PROAS |
|---|---|---|---|
| $4.05M | −$5,810,471 | 2.4 | |
| TikTok | $3.24M | $2,341,937 | 0.3 |
| Paid Search | $1.62M | −$605,189 | 1.4 |
02 · SELF-LEARNING
Context capture reads what you already built and assembles the layer for you. Then Zoë keeps teaching the agent as people ask, so it sharpens instead of going stale.
order_lines_view.ymlproas, adding synonymsevents_view.yml
03 · VISUAL EXPLAINABILITY
Even with everything it needs, an agent will improvise logic and make up numbers. Zenlytic decompiles what it actually ran into the metrics behind it and marks which ones a human approved. You see what you're looking at without reading a line of SQL.
04 · OBSERVABILITY
Every question, every failure, and every gap in one place. You finally see what the business is actually trying to do, and what to build next so they can do it themselves.
05 · LIVE ARTIFACTS
Any frontier model can build a beautiful dashboard or deck. Try to query more data, drill into a number, or find out which fields it used, and you're stuck. Live artifacts keep that flexibility and add the reliability, explainability, and drillability of real BI.
| Quarter | Orders | Customers | Repeat |
|---|---|---|---|
| 2025-Q4 | 36,169 | 3,526 | 3,250 |
| 2026-Q1 | 43,051 | 3,647 | 3,343 |
| 2026-Q2 | 38,170 | 2,642 | 2,447 |
06 · MULTIPLAYER
Build dashboards and data apps, share them with the right groups, and schedule them to send. Permissions apply per user, so everyone always sees the right data.
Here’s some more information.
We believe the most impactful questions are the ones no one anticipated.
Zoë doesn’t give you data to interpret. She investigates your question, explains what she found, and delivers an analysis you can bring straight to your next meeting, not a chart to decipher, not a number without context. All of Zoë’s answers are live and refresh with the latest data.
We believe the most impactful questions are the ones no one anticipated.
Zoë helps your business teams make decisions, not run data pulls. She produces written analyses, visualizations, Excel models, Word reports, PowerPoint presentations. Each one is grounded in your business logic and verifiable (but not limited by your existing definitions). All of Zoë’s answers are live and refresh with the latest data.
We believe if you don’t know where the number came from, you won’t trust it. If you don’t trust it, you won’t use it.
Zoë cites her sources, shows her work in business terms (not just SQL), and validates every result against your existing business logic. You always know how Zoë got to her answers.
We believe a number that can’t be verified, won’t be used. Trust starts with understanding.
Every figure Zoë returns carries its source tables, filters, and metrics in a deterministic visual representation business users can understand. Answers validate against your governed semantic layer before they render. Hover any number for lineage; open any query for a full explanation.
We believe the business already knows what to ask. The best data teams make sure they can.
Connect your warehouse. Zoë learns your business logic through simple conversations. No spaces to configure, no semantic layer to set up from scratch. You stop waiting months for setup, and start making decisions with your data.
We believe a semantic layer should feel like talking to a smart human, not months of brittle configuration.
Point Zoë at your warehouse and she reads your schema, your query history, and existing semantic definitions. The context layer lives in Git; branch it, review it in a pull request, promote it like any other change. You get an org-wide view of every question asked, every metric used, and every gap Zoë flags, turning usage into a live signal for what the business actually needs. No duplicated context. No new ceremony.
What teams see after connecting Zoë to their warehouse.
From connected warehouse to first real answer
From warehouse connect to first validated answer
Faster to business decisions than text-to-SQL products
Reduction in ad-hoc SQL tickets hitting your data team
Of hours saved per week across your organization
Of self-served queries per week, audited and reproducible
From connection to clarity in under an hour. Your data team breathes easier. Your business team moves faster.
Connect your warehouse, ask Zoë to build her context layer, govern in Git. Your team stops writing one-off SQL for every ad-hoc question and starts doing the work that compounds.
Point Zoë at your data warehouse and select the tables you want her to focus on.
Point Zoë at Snowflake, BigQuery, Databricks, or Postgres. She reads your schema and query history automatically.
Type a question in plain English. Zoë writes the query and returns an answer with citations.
Type a question in plain English. Zoë writes the query and returns an answer with citations. Correct her if she got it wrong, and she can update herself to get it right next time.
Zoë handles the ad hoc questions while your data team focuses on high-impact work.
Business users ask questions, Zoë answers them. You have full tools to monitor Zoë’s answers and improve her context to better serve the business. Instead of throw away questions, you build enduring value.
We’ve tried every AI-powered platform out there, but our self-serve users still asked us to verify everything. Zenlytic solves this. Once users understand the results, they trust them.
Exceptional end-to-end — from a collaborative POC through a smooth onboarding, to consistently outstanding ongoing support. The team is responsive and truly invested in our success.
Among the tools we’ve evaluated and tested, Zenlytic offers our data analysts and users the best analytics experience to generate the insights they need.
Easy to get started with and quick to roll out across key teams. Training was easy and the team got it quickly. We replaced our Mode dashboards almost immediately.
If you handle a lot of data and are constantly changing how you analyze it, Zenlytic is a perfect tool. We’re super happy and I’d recommend it wholeheartedly.
Our experience with Zenlytic, pre-sales, and implementation has been exceptional. They make it easy to understand the product and set it up for success.
The user end of the product is phenomenal, definitely end-user focused. Zenlytic set a standard for transformative AI and helps deliver results.
BI adoption stalls because tools are built for data people. Zenlytic is different. It lets my marketing and ops teams ask questions the way they actually think — no analyst required.
Gamechanger. An AI agent interacting with our most essential data, dramatically reducing time to service requests — impactful insights in minutes, not hours.
The tool is amazing and a great first step for starting with AI. Makes our work much easier and faster by eliminating bottlenecks.
A dozen tools could tell us our sales last week. But only Zenlytic can answer the questions dashboards can’t — the high-impact ones you can’t ask in traditional data platforms.
Zenlytic has met and exceeded our expectations since we first started using it. The team’s service in responding to questions and adding features has consistently been exceptional.
Very simple, straightforward setup. The team was exceptional through testing. The product itself is easy to use and navigate.
Zenlytic really delivers great service and partners with us on all business challenges.
Connects to the tools your team already lives in. No disruption, just a seamless layer of intelligence.
SOC 2 Type II certified. Role-based access means every user sees exactly what they should. Business teams get freedom. Data teams keep control.
Zoë is the analytics agent who sets herself up and gets your whole team to actions, not just data pulls. See for yourself.
Zoë ships with a context layer you can audit, a workflow that matches your engineering practices, and answers you can inspect end-to-end. See Zoë in action.
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