Chief Operating Officer
Ms. Margaret
Owns operations across Genie and Swayam, and holds engineering, customer success and PMO to a single shipping calendar. Turns technical vision into product that lands on customer infrastructure.
One investor. One team. One conviction.
The first chapter answered whether private frontier-class AI could run without a GPU estate. The answer was yes. The next chapter is scale.
Most of our best weeks look like the flat part. That is where the work happens.
- Backed by Thangam Capital, USA
- An advisory board across health, industry and defence
- Built in India, for anyone who cannot ship their data out
The investor
Thangam Capital, United States
An ambitious US venture firm backing deep technology, with six companies in the current portfolio and more than $2 million committed to each.
What arrives alongside the capital matters as much as the capital: strategic reach into customers, access to US enterprise buyers, and operating help from people who have taken hard technology to market before.
6Deep-tech companies backed
$2M+Committed to each
USAWhere the firm is based
Portfolio figures as provided by the firm.
Executive team
People who build and ship.
Chief Financial Officer
Mrs. Mary
Owns finance, capital strategy and governance across the group — structuring the runway so engineering never has to trade away sovereignty, security posture or scope.
Chief Customer Success Officer
Dr. Subhash
Owns customer outcomes from first pilot to renewal, and runs the playbook that turns a four-week proof-of-concept into a multi-year sovereign-AI programme.
CEO · Superchat Robotics (Swayam)
Mrs. Ramya
Runs the robotics wing as a full P&L — the humanoid bipedal programme and the AURA dual-drone system, from control theory to production hardware.
Advisory board
Experience that helps us scale.
Capital & Strategy
Mrs. Sree
Brings a family lineage of scaling technology services businesses across the US and India, and the network to unlock institutional capital and US enterprise access.
Enterprise AI
Mr. Shikhar
Head of AI at a large global pharmaceutical company. Runs enterprise AI at pharmaceutical scale — inside the exact regulated-data environment Genie is built for.
Retail & Operations Tech
Mr. Sai
Former CTO of a national retail chain. Ran technology across that retail operation, and advises on the cloud, edge and on-prem trade-offs that decide whether an AI programme lands.
Global Services Delivery
Mr. Dilip
CEO of a global software services firm. Has scaled global services delivery to hundreds of enterprise clients.
How we work
Technology built. Advantage compounding.
The core architecture is in production and already serving eight live deployments. The job now is to turn that technical lead into three repeatable commercial engines: Enterprise Intelligence, Embedded Intelligence and Physical Intelligence.
Research keeps widening the lead: better cache behaviour, more efficient expert routing, faster decoding and control loops that close in milliseconds. None of it stays theoretical. It compounds a platform customers can run now.
Most of our best weeks look like the flat part. That is where the work happens; the step comes later, once, and usually on an unremarkable Tuesday.