The developer platform that turns a phone's noisy GPS signal into something a business can actually trust: proof that the work happened, on time, where it was supposed to.
There is a question that sounds trivial and turns out to be worth a business: did the worker show up? Not "was the worker dispatched," not "did someone mark the shift complete" - but did a human being physically arrive at the right place, at the right time, and do the thing. HyperTrack, founded in San Francisco in 2015 by Kashyap Deorah, Tapan Pandita, and Abhishek Poddar, has spent a decade turning that question into an API call.
The premise is less glamorous than it is durable. Every phone knows roughly where it is. But "roughly" is the problem: GPS drifts in cities, drains batteries, and can be spoofed by anyone motivated to fake a delivery. Capturing location is easy. Trusting it is hard. HyperTrack's whole product is the trust part - SDKs for iOS and Android that turn a stream of imperfect coordinates into clean, structured events, delivered to a customer's own app through webhooks and APIs.
For its first act, HyperTrack aimed that capability at delivery and fleet software. Developers embedded the SDK, and at the platform's logistics peak the company reported coordinating roughly 10 million orders a month across about 150,000 drivers, with thousands of apps built on top. It was, in the most literal sense, infrastructure: invisible, embedded in other people's products, rarely credited.
Then it made a quiet pivot that never required changing the core technology. The same building blocks that tracked a package could track a shift. Around 2021, HyperTrack reframed itself around workforce automation - planning, assigning, tracking, and verifying work - and aimed at the fast-growing world of gig and shift-work staffing. The pitch to a staffing marketplace is blunt: a no-call, no-show costs you a client, and "reliability" is a value you cannot manage until you can measure it. HyperTrack sells the measurement.
That bet found customers in industries that look nothing alike. Nursa staffs nurses. Traba staffs warehouses. Gigable staffs kitchens and events. Wonolo staffs light-industrial shifts. Different labor, same missing piece - a trustworthy location layer - which is exactly the case for horizontal infrastructure over vertical guesswork. The company says its software now touches over two million gig workers in the United States across more than 300 companies, with additional reach in Europe and India.
"HyperTrack's mission is to change the way all industries deliver products and services."
HyperTrack does not sell a finished app. It sells the parts other companies snap into their own products - the plumbing behind the dashboard. Here is what is in the box.
iOS and Android SDKs plus REST APIs and webhooks that capture device location and hand it back as clean, structured live-location data for delivery, fleet, and field-service apps.
Geofences, proof-of-work, pre-shift and on-shift tracking, live ETA, and no-call-no-show detection - the tools to plan, assign, track, and verify work for staffing and field-service platforms.
A toolkit built for the fastest time-to-market when developers are shipping last-mile logistics technology for on-demand use cases.
AI-assisted tooling that helps staffing operations close out shifts the same day they happen, cutting the manual reconciliation that usually lags real work by days.
HyperTrack is not Kashyap Deorah's first company - it is roughly his fourth. He started building as a student at IIT Bombay, and later sold ventures to India's Future Group and to OpenTable, the restaurant-reservation company that acquired his mobile-payments startup Chalo. Fourth-time founders tend not to chase hype; they chase problems that stay expensive. Location tracking, with its battery drain and its spoofing and its stubborn unreliability in dense cities, is precisely that kind of problem - the sort that will still hurt in ten years.
Co-founders Tapan Pandita and Abhishek Poddar rounded out an engineering-led team that grew globally distributed, with work spanning San Francisco and Berkeley, Bangalore, and, for a time, Zaporizhia in Ukraine. The company has stayed relatively small - the kind of shop that ships SDKs, documentation, and a public Slack community rather than a sprawling sales floor.
Kashyap Deorah, Tapan Pandita, and Abhishek Poddar launch a live-location platform for developers in San Francisco.
Raises about $1.5M and ships iOS/Android SDKs and APIs for delivery, fleet, and field-service apps.
An early Series A led by Kevin Hartz and Naren Gupta fuels platform growth.
The platform is reframed around planning, assigning, tracking, and verifying gig and shift labor.
WestBridge Capital leads a $25M round with Nexus; HyperTrack launches BuilderX for last-mile developers.
AI-assisted same-day shift closeout deepens the company's move into workforce automation.
Roughly $33.5M raised over a decade - patient capital for an infrastructure company betting on the $11 trillion logistics market.
| Round | Amount | Date | Lead / Notable Investors |
|---|---|---|---|
| Seed | $1.5M | 2016 | Social Capital, Vy Capital, Deepinder Goyal, angels |
| Series A | $7M | 2017 | Founders Fund (Kevin Hartz), Nexus Venture Partners |
| Series A (ext.) | $25M | Aug 2022 | WestBridge Capital, Nexus Venture Partners |
300+ companies across staffing, light industrial, security, retail, hospitality, healthcare, energy, and transport - including Nursa, Traba, Gigable, Wonolo, ShiftKey, Jobox, RigUp, and Reach. Software reported to touch 2M+ US gig workers.
Radar, Google Maps Platform, Mapbox, Foursquare/Placer, Samsara, Onfleet, Bringg, and Track-POD - plus the in-house location stacks that big logistics and staffing platforms build rather than buy.
The distinction HyperTrack draws: map platforms render maps and geocode addresses; HyperTrack focuses on the harder layer of trustworthy live location and proof-of-work - answering not "where is this address" but "did the work actually happen."
Kashyap Deorah on building HyperTrack, plus the company's own product walkthroughs.