Traditional business intelligence has a bottleneck problem: someone has to build the dashboard, and someone has to know SQL to ask a new question. A newer wave of BI tools tries to remove that bottleneck by letting anyone type a question in plain English — "why did sales drop last week?" — and get a real answer pulled from the actual data warehouse, not a canned chart. The pitch is similar across the board, but the tools underneath differ a lot in who they're built for and what they cost. This guide compares 8 real, currently-active AI BI tools so you can see past the demo and figure out which one fits your team.
A quick honest note before diving in: several of these are young companies without public track records at scale, and most either hide pricing behind a sales call or charge enterprise-level rates. Read the limits section for each one, not just the pitch.
The short version
If you're a large, mature enterprise that wants a governed, warehouse-native tool that can also write back to Salesforce or Slack, Sigma Computing is the most established option here. If you want a genuinely free tier to try conversational BI without a sales call, Querio is the most accessible. If you're a mid-market or enterprise team specifically chasing proactive alerts instead of waiting for someone to ask a question, DataGPT and Tellius both build the whole product around that. And if you're a SaaS company that wants to embed analytics inside your own product rather than run an internal dashboard, Luzmo is a different category entirely — read its section separately.
Sigma Computing
Sigma Computing is a dashboard and reporting tool that works directly on your company's data warehouse, and goes further than most by letting AI agents take real action — updating a record, sending a Slack message — not just displaying a chart.
For who: enterprise organizations and BI teams that already have a data warehouse and want governed, spreadsheet-familiar analytics at scale.
Price: not public — free trial available, enterprise pricing set via demo.
Forces: warehouse-native and fast for analysts, Sigma Agents can trigger real actions in other systems, pixel-perfect embedded reporting, and 2,000+ enterprise customers already using it.
Limites: no public pricing at all, giving an AI agent write access to production systems raises real governance questions you'll need to answer internally, and traditional dashboard tools are cheaper if you just need simple reporting.
Verdict: the safest pick if you're already an enterprise BI shop and want AI features layered onto a mature, proven product rather than a startup's first release.
Querio
Querio is a conversational BI tool that turns plain-English questions into SQL and answers them directly from your live data warehouse — and shows you the generated SQL so it's not a black box.
For who: technical and non-technical teams who want natural-language answers from their warehouse without buying into a full enterprise BI suite.
Price: Freemium — free Startup tier with 1 data connection and 10 users; Core and Enterprise are custom-priced, with self-hosting available at Enterprise.
Forces: answers questions directly against live data, generated SQL and Python are fully visible and auditable, a genuinely usable free tier, and Slack integration for team-wide access.
Limites: paid tiers require a sales call, the free tier is capped at one data connection, and self-hosting is Enterprise-only.
Verdict: the best starting point if you want to try conversational BI for real before committing budget — few competitors here let you actually use the product for free.
DataGPT
DataGPT lets anyone on a business team ask a plain-English question about company data and get a sourced answer without writing SQL — and it proactively sends alerts and daily summaries instead of only answering when asked.
For who: mid-size to large companies with real data infrastructure and an analyst bottleneck they want to relieve.
Price: enterprise subscription, no free trial — roughly $1,750/month for 10 users, with lighter team plans from $99/month.
Forces: natural-language answers with reasoning and comparisons, proactive alerts and daily summaries rather than purely reactive Q&A, connects to enterprise data sources like MySQL and Oracle, and role-based access controls for governance.
Limites: no free trial — you commit via a paid pilot, pricing is steep for smaller teams, and reported ROI figures come from the vendor and are worth verifying against your own numbers.
Verdict: a serious option once you have real data infrastructure and a dedicated budget, less so if you're still figuring out whether AI BI is worth it.
Tellius
Tellius centers on an AI analyst named Kaiya that watches your company's data continuously and sends you a finished report explaining what changed and why, before you think to ask.
For who: RevOps, Finance/FP&A and large sales organizations (Tellius specifically calls out pharma sales teams) that need proactive investigation, not just a query box.
Price: enterprise subscription, quote-only. Premium tier caps at 10 users, 50M query rows and 10GB cache; Enterprise removes the caps.
Forces: a proactive AI agent that investigates without waiting for a question, ready-made specialized agents for churn/compliance/territory analysis, a five-year run as a Gartner Magic Quadrant Visionary, and verifiable SOC 2 Type II and HIPAA compliance.
Limites: pricing is entirely quote-based with zero public transparency, it's built and priced for large enterprise, and headline performance claims like "88% time saved" come from the vendor.
Verdict: worth evaluating alongside DataGPT if proactive, always-on analysis matters more to you than a self-serve query tool — the two are direct competitors and list each other as alternatives.
Basedash
Basedash is AI-native BI built around a governed semantic layer: ask in plain English, get charts and dashboards pulled from 750+ data sources, with the AI constrained to definitions your team actually controls.
For who: mid-size companies without a dedicated data analyst, and ops/business teams that need answers without waiting on engineering.
Price: flat $1,000/month including up to 25 users and AI credits, with a 14-day trial; enterprise pricing is custom.
Forces: a governed semantic layer that keeps the AI from making things up, a flat rate instead of creeping per-seat costs, and 750+ connectors out of the box.
Limites: $1,000/month is a real commitment for a smaller team, and it's closed source.
Verdict: a good middle ground if you want AI-native BI with real governance guardrails and predictable flat pricing rather than a usage meter.
Powerdrill
Powerdrill lets you ask questions about your data in plain language and get an answer, with agents that remember your past questions and get sharper the more you use them.
For who: individual data analysts, researchers and professionals who want fast ad-hoc answers without setting up a full BI platform.
Price: Freemium — free tier with 1,000 daily credits, then Pro (~$13-17/mo), Plus (~$27-33/mo) and Premium (~$133-166/mo) tiers, plus one-time credit packages.
Forces: agents retain context across sessions instead of starting over each time, prebuilt domain explorers for economic, financial and healthcare data, genuinely no-code, and a free tier that's actually usable to try it.
Limites: four pricing tiers take real effort to map to your actual usage, general AI assistants like ChatGPT and Claude can already do similar ad-hoc data Q&A, and the credit caps can feel tight for daily regular use.
Verdict: the cheapest real entry point on this list if you want to try AI data analysis personally before pitching a team-wide tool.
Upsolve AI
Upsolve AI lets a non-technical employee ask a data question in plain English and get a verified, sourced answer directly, instead of waiting days for a data analyst — with a 3-layer architecture specifically designed to reduce hallucinated answers.
For who: mid-market and enterprise data teams that want to widen access to data without widening the risk of wrong answers.
Price: Freemium — free one-time 2,000 credits (~200 questions); Pro $500/month (2,000 credits/month); Team $2,000/month (10,000 credits/month); Enterprise custom, with on-premise/VPC deployment available.
Forces: architecture built to cut hallucinations, 30+ SQL connectors with dbt compatibility, deployment inside Slack, Teams, Claude, ChatGPT or via SDK, and a built-in evaluation agent that scores answers before a user ever sees them.
Limites: enterprise-level pricing ($500-2,000/month) isn't aimed at small teams, the free credits are one-time rather than recurring, and setup is more involved than a generalist BI tool.
Verdict: worth a look specifically if answer accuracy and auditability matter more to you than ease of setup — the evaluation-agent layer is a genuine differentiator here.
Luzmo
Luzmo is a different kind of tool from the rest of this list: an embedded analytics platform that lets SaaS products add self-service dashboards and AI-powered analytics directly inside their own app, for their own customers.
For who: SaaS product teams that want to give their customers analytics inside the product itself, not an internal BI tool for your own team.
Price: Starter €495/month, Premium €1,995/month (billed annually), Enterprise custom — scales with your monthly active users.
Forces: web-component/SDK embedding that feels native rather than an iframe bolted on, built-in row-level access control for multi-tenant security, and 40+ native connectors with millisecond query acceleration.
Limites: enterprise-grade pricing that's out of reach for small teams, and the cost scales with your own product's monthly active users — meaning your analytics bill grows as your product succeeds.
Verdict: the right category entirely if you need customer-facing analytics baked into your product — don't compare it head-to-head with the internal BI tools above, it solves a different problem.
Side-by-side
| Tool | Model | Starting price | Best for |
|---|---|---|---|
| Sigma Computing | Enterprise, quote-only | Free trial, custom enterprise | Governed enterprise BI + write-back |
| Querio | Freemium | Free (1 connection, 10 users) | Trying conversational BI for free |
| DataGPT | Enterprise, no trial | ~$1,750/mo (10 users) | Proactive alerts at enterprise scale |
| Tellius | Enterprise, quote-only | Custom quote | Always-on AI analyst (RevOps/Finance) |
| Basedash | Flat rate | $1,000/mo (25 users) | Governed AI BI, predictable pricing |
| Powerdrill | Freemium | Free (1,000 credits/day) | Individual ad-hoc data analysis |
| Upsolve AI | Freemium | Free (2,000 credits one-time) | Accuracy-focused, multi-surface deployment |
| Luzmo | Subscription | €495/mo | Embedding analytics in your own SaaS |
Which one should you actually pick?
Start by separating the two real use cases hiding under the "AI BI" label. If you want customer-facing analytics inside your own product, only Luzmo on this list actually does that — everything else here is for analyzing your own internal data. For internal use, if you're an established enterprise with a mature data warehouse, Sigma Computing is the least risky bet. If you want to test conversational BI without a sales call, start with Querio's free tier or Powerdrill's free daily credits before spending anything. And if what you actually want is an AI analyst that investigates proactively instead of waiting for questions, DataGPT and Tellius are the two purpose-built for that — and worth demoing against each other directly since they compete head-on.