Your Intelligence & Efficiency Partner
Our endeavor is to enable our financial technology & services partners to maintain a competitive edge in the constantly changing market and regulatory environment, build innovative products, grow sustainably, minimize costs & scale successful businesses.
We achieve this by solving their most critical decisions, utilizing data in better ways, constructing efficient processes & enabling them with the best talent.
Based out of US & India, we partner with US based financial technology & services startups from early to late stages as well as established firms.
Expertise
We leverage our deep expertise in the following domains

Credit & Lending

Banking & Compliance

Proptech

Wealth & Investment Management
Approach
Our unconventional approach enables us to be different from
Traditional Consulting Firms
Strategic AI Solutions
before
Resource Scaling
Rapid Innovation Cycles
vs
Extended Planning Horizons
AI Product Startups
Custom AI Architecture
vs
One-Size-Fits-All Products
Deep Domain Understanding
vs
Impractical Solutions
Benefits
We benefit our partners in the following ways




Testimonials
"We wanted to execute a data analytics project quickly as we were short of time & resources. Ankit understood the requirements right away & put a talented team to work on the assignment which delivered results beating our expectations."CEOEarly Stage Proptech
Leadership

Ankit Tanwar
Founder, CEO
Ankit has scaled data, operation & risk teams for US-based fintech & proptech startups. He led Risk at Divvy Homes (late stage Proptech) & scaled lending at Stilt (acquired by JG Wentworth). Before that, he led the development & implementation of heavily regulated quant products, ML models & optimization strategies for credit cards, investments & wealth management at BofA & Merrill Lynch.
We deliver
Intelligence
Optimization
Higher Revenues
Contact
Boost & transform your financial technology or services business with our customized solutions, backed by deep domain expertise, AI, ML and data engineering.