Kartik Raj Rewar
Applied AI, strategy, and company building.
I work at the intersection of AI and business, turning technical capabilities into products, workflows, and operating results.
Most recently, I built and operated Fursa, an AI-native hiring company.
MY APPROACH
Applied AI starts with the work.
The useful unit of AI transformation is the workflow.
Start with the business problem, understand how the work happens today, decide where intelligence changes the economics, and design the system around it.
What outcome is actually worth improving?
My most recent work
Fursa
AI-native hiring company
I built Fursa as a production AI and data system spanning job intelligence, search, recruiting workflows, and AI agents.
Deterministic foundation
Clean the data first.
Ingestion, normalization, and high-confidence deduplication handled repeatable work before models were asked to interpret anything.
Model-assisted intelligence
Use AI for ambiguity.
Enrichment, classification, and semantic retrieval handled the parts that required interpreting messy language and user intent.
Workflow, not a wrapper
Put intelligence where work happens.
Search, recommendations, explanations, and feedback became parts of the hiring workflow rather than a separate AI destination.
2M+
jobs processed
~200h → ~10h
monthly operational work
~$0.003
processing cost per record
Product in practice
A closer look at the job-search workflow.
Thinking
Ideas I keep coming back to.
Background
How I got here.
Before Fursa, I founded Polynomial Studio, where I built and tested new technology products. Earlier, I led an early-stage technology company as General Manager and advised companies and investors on strategy, technology, and new business models.
I started my career at Emaar, where I helped build its digital innovation function before moving into corporate strategy across international growth, diversification, technology, and new businesses.
I studied engineering at IIT Bombay and business at IIM Ahmedabad.