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Datawyse
AI Finance Analyst for Small & Medium Enterprises
Scenario plans, variance analysis, cash forecasts, delivered in minutes, verifiable line by line, at a third the cost of an analyst hire. Connects to your ERP, CRM, and business tools.Learns the rules, patterns, and definitions your business actually runs on. Then puts specialist finance agents to work on top. The LLM plans the analysis but never produces a number. Calculations run as code, and every figure comes back with its formula and source in Excel terms.
Hey builders 👋
Adi here, co-founder of DataWyse.
Ask your finance team why margin dropped last quarter and you'll wait hours or days for the answer.
Someone has to export the ERP, pull the CRM, reconcile two systems that disagree, and rebuild the numbers in Excel before the team can even start thinking about what caused it.
My co-founder Razeen's father runs a f&b chain. He wanted to know which products made money, which branches performed, how much to produce for festival season, and where cash would land. No analyst, and nobody to hand it to. We built him something rough.
That made us wonder how many other businesses were sitting on the same questions with no way to answer them. So we reached out to 2,000+ finance decision makers to understand their pain points. After 20+ calls, we kept hearing the same thing: they'd all tried AI on their numbers, and none could tell a right figure from a wrong one. One had built his own with Claude and his ERP's API, then stopped trusting it.
So we built DataWyse : an agentic financial analyst that knows your business and shows its work.
🧠 A Company Brain that learns your business: your rules, formulas, targets and seasonality
🧮 The LLM plans the analysis. Code runs the calculations.
🔍 Every number carries its formula, assumptions and source
🕸️ The what, who, why and when behind every movement, linked to the data points that caused it
↳ Drill down through the knowledge graph to trace any figure back to where it came from
📊 Download the result as an Excel workbook, the way an analyst would deliver it
Every feature exists because a finance leader named a specific pain point.
There's an interactive demo running on a realistic $25M B2B dataset on our website. No signup, ask it anything you'd normally ask an analyst. And if you'd like to try it on your own numbers, we'd be happy to set you up with a trial over a quick call.
Would really love your feedback on the product!
About Datawyse on Product Hunt
“AI Finance Analyst for Small & Medium Enterprises”
Datawyse was submitted on Product Hunt and earned 24 upvotes and 3 comments, placing #28 on the daily leaderboard. Scenario plans, variance analysis, cash forecasts, delivered in minutes, verifiable line by line, at a third the cost of an analyst hire. Connects to your ERP, CRM, and business tools.Learns the rules, patterns, and definitions your business actually runs on. Then puts specialist finance agents to work on top. The LLM plans the analysis but never produces a number. Calculations run as code, and every figure comes back with its formula and source in Excel terms.
On the analytics side, Datawyse competes within Data & Analytics, Finance and Business Intelligence — topics that collectively have 15.9k followers on Product Hunt. The dashboard above tracks how Datawyse performed against the three products that launched closest to it on the same day.
Who hunted Datawyse?
Datawyse was hunted by Adithya Anilkumar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Datawyse including community comment highlights and product details, visit the product overview.
Adithya Anilkumar