Pulse: AI-Powered Business Analytics Platform
A B2B analytics SaaS that turns raw usage and revenue data into plain-English answers, using an embedded AI assistant to surface growth opportunities and churn risk before they show up in a spreadsheet.
The Challenge
Our client, a fast-growing SaaS startup, had the usual analytics stack: dashboards, exports, and a data team fielding the same "why did revenue move?" questions every week. Decision-makers wanted answers, not more charts to interpret.
Our Approach
We built Pulse as a unified analytics layer on top of their existing product and billing data, with an AI assistant trained on their metrics schema sitting at the centre of the experience. Instead of building another chart, users can ask a question in plain English and get a grounded, sourced answer, with the option to drill into the underlying data.
- Real-time revenue, retention, and cohort dashboards built on a streaming data pipeline
- An AI assistant (GPT-4 with a custom retrieval layer over first-party metrics) for natural-language queries
- Automated anomaly detection that flags churn risk and growth signals before they're visible in standard reports
- Role-based views for founders, revenue teams, and customer success
The Result
The client's team now resolves most "why did this metric move" questions in seconds instead of waiting on a data team ticket, and the anomaly detection has surfaced churn risk early enough to save several six-figure accounts.