Typical situations we're brought into
Untrusted Reporting
Leadership doesn’t trust existing reports or dashboards to make decisions.
Slow Insights
Data exists, but insights are delayed, inconsistent, or hard to act on.
AI Readiness Gaps
AI is being discussed internally, but readiness and next steps are unclear.
Data Governance Blockers
Compliance, governance, or data quality concerns are slowing progress.
Data Silos
You've got five systems and no single source of truth
The Harder Truth
If governance isn't clear, if nobody owns the data, or if the incentives aren't aligned — AI is going to create more problems than it solves. We've walked away from projects where the foundation wasn't ready. And we'll tell you directly if that's your situation.
Stepping into a stalled project, figuring out what went wrong, and getting it moving again. Usually, the issue is one of three things: requirements that were never clear, product ownership that's missing, or architecture that can't support what the business actually needs.
A lot of our Data & AI work has been in financial services — where auditability, explainability, and failure tolerance aren't nice-to-haves. That discipline shapes how we work, even when the client isn't in a regulated industry.

LLM-powered skills translation platform
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Faster Job Search
Industry: AI Platform

AI-powered lending with automated risk scoring
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Faster Decision Making
Industry: BFSI

Platform re-architecture with ML optimization
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Uptime
0K+
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Daily Merchants
Industry: Logistics

AI That’s Actually Running
We treat AI as an extension of your analytics capability, not a separate initiative with its own budget and governance nightmare. Every system we deploy has clear ownership, proper monitoring, and a rollback plan if something breaks.
15+ AI solutions in production · 100% deployment rate · BFSI, Logistics, Media
A Good Place to Start
Data & AI Readiness Assessment
2–3 Weeks • Fixed Scope
Let's figure out where you actually stand — how mature your data is, where AI could help, and what it would take to get there. You'll get a data maturity snapshot, a view of realistic AI opportunities, and a roadmap you can actually execute
This is about informing your decision, not pushing you toward one.


