Athenic AI
Analyze and Automate Your Data & Work
377 followers
Analyze and Automate Your Data & Work
377 followers
Athenic AI is an agentic data analyst built for teams. Connect your business apps, SQL databases, or upload files. Then analyze your data, automate workflows, and build charts & dashboards to monitor what matters—all in plain English.
This is the 2nd launch from Athenic AI. View more
Athenic 2.0
Launching today
Athenic is an AI agent for analyzing data and automating work. Connect your data, chat in plain English, and ship dashboards, reports, and automations. Built for startups to Fortune 500.
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Launch Team / Built With
Athenic AI
👋 Hey, Product Hunt, long time no see!
We first launched Athenic in 2023, and a lot has changed since.
Most "chat with your data" tools (Athenic 1.0 included) stop at an answer. Athenic 2.0 keeps going: it builds the dashboard, writes the report, and re-runs analyses on schedule — ask once, not every Monday.
Here's what's new:
Automations — recurring analyses delivered to your inbox
Business apps — connect your CRM, ERP, paid media channels & more, not just SQL databases
Agentic Web research — Athenic monitors your competitors and surfaces market trends on its own
Improved Charting — build full dashboards though chat, with more chart types and customizations
New usage-based pricing too, pay only for what you use. 2,000 free credits to start, no credit card required.
Happy to answer any questions and always grateful for feedback. What's the first thing you'd put on autopilot? 👇
— Jared
@jared_zhao As a data anylyst ,upgrading from just SQL databases to ERP and CRM data is a huge hurdle cleared. Data centralization is always the hardest part of these tools. How does Athenic handle data modeling/cleaning across those different business apps? love the idea
@jared_zhao looks solid, good luck for the launch
the agentic data analyst framing implies the agent takes initiative rather than just responding. curious what the actual agent behavior looks like in practice. does it proactively flag anomalies in connected data, suggest analyses you haven't asked for, or is the agent label more about multi-step reasoning within a query than about autonomous action between sessions. the distinction matters a lot for how people would integrate this into their workflows
Athenic AI
@ansari_adin Hi, yes, the distinction is important and Athenic is capable of both. During your sessions Athenic will do multi step reasoning and suggest alternate analysis paths. It will also suggest automations or you can create them yourself. So you can do things like anomaly detection where it only emails you if it finds something interesting or if it crosses a threshold. Or check the web for events that may have impacted your business and give a summary at the top of the analysis. Automated workflows are the heart of 2.0
The part I find most interesting is trusting an agent to pick the join paths across tables on its own — that's usually where text-to-SQL tools quietly get the number wrong but still return something confident-looking. How are you handling the cases where the schema is ambiguous: does Athenic show its reasoning / the SQL it ran so an analyst can sanity-check, or is it more of a trust-the-answer flow?
Athenic AI
@mikebrandswarm The setup is reasoned through and stored as a semantic model. The base SQL datasets and semantic models can be viewed by a team admin and verified or edited. Non admin users can also flag feedback for the admin. But the system is quite good at setting up autonomously. You're definitely spot on about that being a major failure point of text to SQL.
@eggro @jared_zhao The “analyze on autopilot” angle is strong if it helps teams move from dashboards to decisions. A lot of analytics tools show what happened, but the real value is surfacing what changed, why it matters, and what someone should look at next.