Every truck that leaves a factory gate, every pallet that moves across a warehouse floor, every tonne of stock sitting in the wrong depot is a decision someone had to make — and in India’s largest enterprises, those decisions number in the thousands every single day. Enmovil, a Hyderabad startup founded in 2016 by former NVIDIA and Oracle executives, is building the intelligence that makes them: an AI-native platform that plans, dispatches and tracks a company’s entire supply chain, with an AI workforce called CADDIE doing the coordinating.
Enmovil’s warehouse management, visualised. (Image: Enmovil)
One intelligence layer over the systems already there
Enmovil does not ask a company to rip out its existing software. Its platform sits as an intelligence layer above the ERP, warehouse and transport systems a business already runs — SAP, Oracle, Blue Yonder and the rest — and connects them into one flow the company describes as Predict, Plan, Execute. Demand forecasting reads distributor offtake, secondary sales, GST e-invoice patterns and region-specific seasonality such as monsoon shifts and festival spikes, running nine to eleven machine-learning algorithms per SKU at once and auto-selecting the best model for each context. Dispatch planning then turns those forecasts into execution-ready plans: the company’s OptiRun engine factors in more than 50 live business constraints — vehicle types, route safety, load limits — and its 3D load planner works out the optimal fleet mix and stacking plan for every truck.
Once goods are moving, the platform’s tracking layer follows them with triple redundancy — GPS, SIM and FASTag together — so there are no blind spots, and the company says its models deliver more than 95% ETA accuracy. Freight settlement closes the loop automatically: the platform reads invoices, validates them against rate cards and flags penalties when service levels are breached.
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Enmovil’s 3D load building, visualised. (Image: Enmovil)
CADDIE, the AI workforce
At the centre of the platform is CADDIE, Enmovil’s AI orchestrator. A supply chain manager can ask CADDIE a question in plain language — in Microsoft Teams or on WhatsApp — such as which inbound shipments to a plant are at high risk today, and get a direct answer with a suggested reroute. Behind the scenes, CADDIE supervises a set of specialist agents across demand, inventory, capacity and production, coordinating them into workflows that execute supply chain activities, and bringing humans into the loop wherever an approval is required. A companion product expert, ENMO Agent, answers questions on dispatch planning, inventory optimisation, demand forecasting, control-tower visibility, ETA prediction and proof of delivery in seconds.
“We have uniquely built an agentic platform that can communicate with individual modules, each of which can function as an agent, and coordinate them into workflows that execute supply chain activities. This effectively provides customers with an AI workforce,” co-founder and CEO Ravi Prasad Bulusu told Analytics India Magazine.
Running the supply chains of India’s biggest names
More than 40 large enterprises in India now run on Enmovil, including Maruti Suzuki, Mahindra, TVS Motor, Volvo, Daimler, Nestlé, ITC, Hero MotoCorp, HPCL, Indus Towers and Vedanta Power. The company says its platform has improved forecast accuracy by 30–40%, reduced dispatch costs by 10–15% and cut manual effort by more than 75%, with customers seeing value in less than six weeks from purchase order to delivery. That traction has turned into growth: the company employs around 175 people, roughly 100 of them in development, and expects revenue to rise from approximately $5 million to $8–9 million by the end of the current financial year.
The founders bring deep technology pedigree to the problem. Bulusu spent about two decades in technology, including as a director at NVIDIA and Intel, and worked at PortalPlayer, a startup later acquired by NVIDIA. His co-founders, Nanda Kishore (COO) and Venkat Moganty (CTO), bring the same enterprise-software experience. In August 2025 the company raised a $6 million Series A led by Sorin Investments, with Capria Ventures and Twynam participating.
From Hyderabad to the world
Enmovil is now scaling the human side of its AI workforce as fast as the software. The company plans to grow its forward-deployed engineering team — the engineers who work inside customer operations to make the platform work in each enterprise’s real environment — from around 30 people to 100–120 within a year, as it scales deployments and expands into the United States and Southeast Asia. It is a bet that the next phase of enterprise AI belongs to the companies that can make the technology work inside a customer’s actual operation, not just in a demo. For a Hyderabad startup that started by asking why supply chains still run on spreadsheets and phone calls, that is exactly the right problem to be solving.
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