These are real engagements. Told honestly.
Private Banking · India
What they needed
One of India's top 3 private banks needed better prioritisation of AML alerts across a corporate and SME portfolio, alongside an early warning system for credit deterioration.
What we built
A risk-based AML alert prioritisation model and an Early Warning Model for the corporate and SME portfolio, alongside a model management solution. Improved detection hit rate, reduced false positive rate significantly.
Capability is not just about finding risk — it is about finding the right risk, at the right time.
NBFC · India
What they needed
A monoline NBFC needed a more precise underwriting model that could be deployed into production without disrupting existing workflows.
What we built
A custom loan underwriting scorecard implemented via API, enabling seamless integration with existing decisioning systems. Improved sanction rates and operational productivity.
When intelligence is built to integrate, it gets used — and when it gets used, it creates value.
Insurance · India
What they needed
A leading private insurer needed fraud models for both underwriting and claims, with a governance framework to manage ongoing performance.
What we built
Fraud models covering underwriting and claims stages, with a full performance management framework for scorecards and rules, and systematic data quality improvement across the pipeline.
Governance is not overhead. It is what makes intelligence trustworthy enough to act on.
Banking · Oman (GCC)
What they needed
A leading bank in Oman needed fraud models across card and issuer portfolios, improving controls without excessive operational friction.
What we built
Fraud models for card and issuer portfolios, improving fraud controls and reducing financial loss while maintaining customer experience standards.
The rigour that works in Mumbai works in Muscat. Capability travels.
Banking · UK
What they needed
A UK-based digital bank needed an objective assessment of a P2P lending platform before making an investment decision.
What we built
A comprehensive credit due diligence assessment covering portfolio quality, risk-reward dynamics, and structural vulnerabilities — improving the quality of the investment decision.
The most valuable intelligence is the kind that tells you what you did not know you did not know.
Manufacturing · USA
What they needed
A global chemical manufacturing company needed to move from reactive operations to autonomous, data-driven operations at scale.
What we built
An IoT Analytics platform and Digital Twin solution enabling autonomous operations across global facilities. The engagement crossed geographies, disciplines, and data sources.
When intelligence acts — not just informs — it changes what is possible.
I wanted to thank you for the quality of the solution. Also heard from the team that your way of engaging with us was extraordinary.
Your product solution is well ahead of what we do and what other vendors have to offer. You simply nailed it.
We have industry-leading Machine Learning models for our operations. You are definitely one of the best in the industry when it comes to this.
The way your person supported our go-live for this important project is commendable. There were numerous challenges, but he was calm and meticulous all through.
Your deep expertise in analytical and critical thinking, rigorous process around execution and high-quality judgment make it all the better and effective.