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AI apps for Data & Analytics

Data & Analytics lists AI apps whose core job is turning raw business data into a dashboard, report, forecast, or plain-language answer — not tools that merely touch data as a side effect of some other job.

Illustration: scattered dots rising into bar columns and a trend line
Illustration generated for AXIS Launch with Google Gemini.

Operators, marketers, and founders come to this category when they need an answer from their numbers this week, not a warehouse project. The apps here connect to a data source — a spreadsheet, a SaaS tool, a warehouse — and shorten the distance between "we have data" and "we know what to do." Some specialize narrowly, on churn analysis or ad spend reporting or survey coding, rather than trying to be a general BI platform.

Browse 4 apps in this category.

Julius

Chat with your data, get charts and analysis back

Vanna

Open-source framework for text-to-SQL

Powerdrill

Ask questions of spreadsheets and PDFs

STOCKKIT.AI

Free real-time trading alerts for independent traders

FAQ

How do I list my AI app in Data & Analytics?

Submit at /launch. The listing is free. Every submission is checked automatically, usually within the hour, and a person decides anything the checks can't settle within 48 hours; an approved listing goes live once the AXIS Launch badge is on your site.

What belongs here, versus a category like "AI apps for marketers"?

Data & Analytics is for tools whose main job is turning data into an answer — a dashboard, a forecast, an anomaly alert. If an app's primary job is writing ad copy or running a campaign, and it only touches data along the way, it belongs in a marketing category instead.

Do I need a data warehouse already set up to use these apps?

No. Some tools here connect directly to a warehouse like Snowflake or BigQuery. Others work off a CSV upload or a single connector such as Stripe or Google Analytics. Check each listing's description for what it connects to before you sign up.

How does AXIS Launch verify these are working products, not just landing pages?

Every submission is checked before it goes live: the link has to work and be the product's own page, and an AI review compares the listing with that page; a person decides anything the checks can't settle. None of that audits an app's data pipeline — verifying specific claims like uptime or accuracy is on the buyer's own diligence.

See the Data & Analytics shortlist →