Orvixo started in 2023 when our founders spent three days preparing a single quarterly business review. There had to be a better way.
Before Orvixo, our founders were running operations at a mid-size e-commerce company. Every Monday meant the same ritual: export CSVs from five different tools, paste them into a master spreadsheet, massage the formulas, copy charts into a deck, then present slides that were already 72 hours out of date. A full-time analyst was effectively a copy-paste machine.
They looked at the enterprise BI market — Tableau, Power BI, Looker — and found tools built for dedicated data teams with six-figure budgets and month-long implementations. None of them solved the fundamental issue: business people can't query SQL, and data people don't have time to build dashboards for every request that lands in their Slack.
So they built Orvixo. Natural language queries. Real-time charts. Presentations that write themselves. Something a marketing manager could use without opening a ticket.
Insights that arrive after the meeting are just noise. We obsess over latency at every layer.
If only one person on the team can read the dashboard, it isn't working hard enough.
Your data never trains our models. Encryption at rest and in transit, always.
Enterprise analytics should not require enterprise procurement. We charge for value, not seat count theater.
We're a small team based across Bangalore and London. Our backgrounds span data engineering, product, and design — which means we've felt the pain from both sides of the table. We spend a lot of time talking to customers and very little time in internal meetings.
Previously head of operations at a fast-growing e-commerce company. Sold his first SaaS at 24.
Former data engineering lead at a major fintech. Built pipelines handling 8M events/day.
Previously at two of Europe's largest consumer fintechs. Believes dashboards should be as readable as good writing.