From raw data to decisions in minutes.
How we helped Bisa.AI ship an AI analytics platform that turns messy data into answers teams actually use — and scaled it to thousands of users.
- Client
- Bisa.AI
- Industry
- SaaS / AI
- Timeline
- 12 weeks
- Services
- SaaS Development, AI Automation
- Tech
- Next.js · Python · PostgreSQL · AWS · Docker
Answers were buried in spreadsheets.
Bisa.AI's early users loved the idea — upload your data, ask questions, get answers. But the prototype buckled under real workloads, and every analysis still needed a data analyst in the loop.
To raise their next round, the team needed a platform that felt instant, worked for non-technical users, and could scale past the first thousand accounts.
An AI analyst in every browser.
We rebuilt the platform around an AI query engine that translates plain-language questions into fast, safe queries — wrapped in dashboards that update live and workspaces built for teams, not individuals.
AI Query Engine
Plain-language questions become optimized queries with guardrails.
Live Dashboards
Charts that refresh themselves as new data lands.
Team Workspaces
Sharing, roles, and audit trails built in from day one.
What shipping well looks like.
- 3×
- Faster insights
- 60%
- Less manual analysis
- 10k+
- Active users
From question to answer, versus the old workflow.
Routine reporting now runs itself.
Onboarded without an infrastructure rewrite.
Their expertise in SaaS development helped us scale our product rapidly. Highly recommended!