Introducing Patterns
If you still have to configure your AI, you’re not using AI. You’re using software. Zoe is the first analytics agent that learns in a single sync.
It's 2026. Why aren't we all using analytics agents?
AI analytics works, if you’re willing to spend weeks configuring it. Patterns changes that. With one sync, Zoë learns from your query history and starts delivering answers in seconds.
Don’t just index tables. Index queries.
One of the most common design patterns for text-to-SQL today is table indexing, but its also insufficient.
Patterns, the automated context ingestion for your analytics agent.
Zenlytic automatically indexes that knowledge and learns from it. Every BI dashboard. Every SQL query. Every notebook.
Features
AI that learns from how your team actually uses data. Zenlytic indexes real query history, the institutional knowledge embedded in analyst, dbt, and BI queries, rather than blindly indexing every table and column.
Understands your definitions, filters, and join logic. This captures: business definitions, trusted tables, correct join paths, finance-approved metric logic, and hidden conventions (e.g., cents vs. dollars, excluding partner deals).
With Patterns, you can synchronize a brand new data agent and be asking questions in a few minutes. No need for lengthy data configurations.
Indexes 150 real analytical patterns, not 2,000 random tables. Schema indexing scales with chaos. Query indexing scales with business concepts. Recency weighting, deduplication, and role segmentation keepthe signal high.
Intuitive BI that your team will actually use
BI tools have always been built for technical users, making them inaccessible for the rest of your team. Zenlytic is metrics-native, making it self-service for normal people too. Powerful for them, easy for you.
With fast, configurable follow up questions, say goodbye to pulling lists of emails.
Your end users can ask Zöe in natural language, visualize data, and schedule dashboards.
Talk to Zenlytic in Slack, email, and discord, or explore visuals in the Zenlytic dashboard.
Table calculations that are so easy, your team will use them like spreadsheets.
Smarter semantic data modeling - a cognitive layer
Self-serve fails because the data models haven’t been smart enough yet. Our powerful cognitive layer is a data model that ensures end-users can explore data without having to understand the warehouse. Zenlytic is DRYer, simpler to build, and easier to maintain than LookML.
Our engine can dynamically join tables, merge results, and unify dates to produce consistent SQL.
Join tables once (no more overlapping ‘Explores’) to reduce bloat and make your data modeling easier.
Integrate fully with dbt. Don’t use dbt? No problem. Everything works with our built-in data model.
No more reconciling numbers. Define metrics once and make them available to the whole team.
Enterprise-grade infrastructure
Zenlytic is an enterprise-grade BI tool that supports your entire organization. Here’s what you need to know about our security, speed, and capabilities.
Configurable caching reduces warehouse load, saves you money, and runs your queries faster.
Zenlytic runs monolithically behind 256-bit AES encryption and never stores any of your data.
Easily ensure the right people have the access to the right data.
Never leave Zenlytic for the fastest possible build-execute cycle.
Trusted by Data-Driven Teams
“We’ve tried every AI-powered platform out there. But our self-serve users still asked us to verify everything. Zenlytic solves this. Once our end users understand the results, they trust the results.”
“We already had a dozen tools that could tell us our sales last week. But only Zenlytic can answer the questions dashboards can’t. Zoë handles those high-impact questions that would be impossible to ask in traditional data platforms.”
“LLMs haven’t destroyed the semantic layer; they’ve changed our relationship with it. The Clarity Engine shows what happens when you let semantics and context work together.”
