Drop in a spreadsheet and get your first answer in minutes. No card, no setup, no watches to configure. Upgrade the day you decide you want the answer to keep running.
"Just answer my question"
"Keep my answers"
"Automate + watch"
"Run our data stack"
Tokens and storage multiply per creator. Two creators share one compute pod — you're not paying for idle resources. Viewer accounts don't consume tokens and don't count toward your pod or creator limits.
Contact us for team setup →SSO / SAML, on-premise, multi-workspace federation, custom data retention, audit log exports, dedicated SLA, custom integrations — and the Business Agent layer that watches your whole operation 24/7.
Learn more →Read-only access to reports, dashboards, and shared answers. Viewers don't consume tokens and don't count toward your pod or creator limits.
Add storage in 10 GB increments. Useful if you're ingesting large CSVs, IoT time-series, or camera footage archives.
Keeps your instance running 24/7 with no sleep cycle — required for IoT data ingestion, real-time Watch triggers, and camera monitoring that can't tolerate cold-start delays.
99.5% monthly uptime SLA. Miss it? Service credit, no questions asked.
Not sure how to connect your first database, or which starter pack fits your team? Book 30 minutes with us. We'll get your first real answer live on your real data — on the call.
ChatGPT gives you an answer and forgets your data when the session ends. Tablize keeps the answer, reruns it next week, and turns it into a dashboard or a watch if you want. It also connects to your real Postgres, MySQL, and APIs — not just uploaded files.
No. Tablize writes the SQL for you. If you do know SQL, you can read what it wrote and edit it directly — nothing is hidden behind a black box.
On Free, nowhere — your data is analyzed in an ephemeral pod and discarded when the session ends. On Plus and up, it lives in a dedicated Postgres inside your workspace. Self-hosted and on-premise are both supported from Pro upward.
It's enough for the agent to read your data, write the SQL, run the analysis, draw the chart, explain the result, and handle a few follow-up questions. A real conversation, not a single-shot demo. Exact token budget shows live in the UI as you work.
By default, your Tablize instance sleeps when idle to save compute. It wakes up when you open it or a scheduled job runs. Always-on (+25%) keeps the instance fully running 24/7 — required for IoT devices streaming data continuously, real-time Watch triggers, and cameras that can't tolerate cold-start delays.
No. If you're analyzing spreadsheets, running scheduled reports, or doing periodic analysis, sleep/wake is fine. Always-on is only required if you need real-time event detection — like a sensor firing at 2 AM or a refund spike happening outside business hours.
Two creators share one compute pod. A 5-person team runs on 3 pods. This keeps team pricing fair — you're not paying for compute you're not using. Token and storage allocations are fully per-creator, so each person has their own capacity.
You can bring your own Anthropic or OpenAI key, or use the Tablize-managed pool that ships with every plan. The agent framework is model-agnostic.
Yes — and this is a category where most BI tools simply can't compete. Tablize connects to MQTT brokers for sensor data and supports camera and video feed ingestion. Enable always-on compute so your agent is awake when the data arrives.
Drop in a CSV. Ask the first question you'd ask a data analyst. See what comes back — and what you'd want to keep.