AI-assisted self-service analytics that lets anyone explore data with natural language. Grounded in governed metrics, verifiable logic, and your team's shared definitions.
Ask questions naturally and get instant answers.
The AI keeps context across follow-up questions, so exploring data
feels like a conversation.
Ask questions in natural language. The AI remembers context from question to question, so you can drill deeper without starting over.
When a question could mean several things, the AI asks a clarifying question instead of guessing, then lets you pick the answer you meant.
Ask user: Which metric do you want for “how did we do” across over the last few weeks
Please answer the question below
Go beyond 'what happened' to 'why it happened.' The AI acts as your analyst: it forms a hypothesis, runs the queries, and finds the cause.
AI reads the dashboard and writes a plain-English summary on top: what moved, what didn't, and where to look next.
One interface, two ways in. Start with a question in chat, then click into the generated chart to modify, filter, or explore further. No context lost.
Every AI-generated answer is transparent.
See the reasoning in plain English, then inspect the underlying query logic
- so you never have to take the AI's word for it.
AI walks through its reasoning step by step, so you can check it before you trust the answer.
See the query as a readable, high-level formula (not raw SQL), so you can verify exactly how every metric is calculated. Compact enough for a human to review in seconds.
The AI prioritizes your team's endorsed metrics and composes new ones from definitions you already have. You can trace every answer back to its source.
I’m seriously impressed with Holistics AI capabilities!
While using Search Docs Mode, I realised it does far more than just fetch documentation, it actually understands the content and generates working solutions, even for edge cases not directly covered. Since then, I’ve been pasting in dashboard and theme code, and it consistently helps me fix or enhance things. It's saved me a ton of time already!
— Guido Stark, Head of Data at World Vision New Zealand
Instead of translating natural language directly to SQL, the AI generates AQL,
a high-level, composable analytics language.
You get answers that are more reliable, more readable, and handle more.
AQL is compact and high-level, making it easy to read and verify the AI's logic, with no 200-line SQL queries to decipher.
The AI works in a high-level language, so it never fights database-specific syntax or SQL gymnastics. The AQL compiler handles translation deterministically.
Break complex operations into modular pieces and combine them like building blocks. Prebuilt functions handle period comparisons, running totals, nested aggregations, and more.
Models, datasets, metrics, and dashboards are all defined as text-based code.
This means AI tools can read, generate, and modify your analytics definitions.
Version control and governance come free.
Use Cursor, Claude Code, or your preferred AI coding tool to develop models and dashboards faster than ever.
Every change is tracked. Review diffs, manage branches, and enforce governance workflows, the same way engineering teams manage code.
AI writes field descriptions, dataset summaries, and tag descriptions. Your semantic layer stays documented with zero manual work.
Auto-generate commit messages and PR descriptions. Focus on the analytics work, not the paperwork.
AI draws on your existing models and definitions from the start. Then go further:
customize its behavior at the organization, team, or individual level with programmable context.
Rich context by default
AI automatically draws from your semantic models, metric definitions, dashboards, and conversation history. No manual setup required to get accurate answers immediately.
Organization-level instructions
Define your business background, operational knowledge, and response preferences in a central config - so AI speaks your company's language and follows your standards.
Dynamic per-user context
Customize AI behavior per team or user with programmable logic. Marketing sees marketing data, purchasing sees purchasing data. Automatically.
Connect to your existing tools or embed AI-powered analytics
directly into your product. No AI stack required.
Use Holistics' querying power inside any external AI tool via the Model Context Protocol. Your AI assistants can query governed metrics natively.
Give your customers AI-powered analytics inside your product. No need to build your own AI - embed the Ask AI experience directly.
