Autowhat AI is a Mumbai company that builds operational AI for enterprises. We map the workflow first, then ship systems that stay on the line.
Trusted by Henkel · Merck Life Science · APML · NSDL · Podar
02 / 10 Operations control room · live wall
A real operations control room running on Autowhat: the vehicle board and the live India map on the video wall, every seat on the same record. Not a mock-up.
See the live twin03 / 10 Assembly floor · morning shift
Xforce runs attendance, tasks and leave on WhatsApp; SCM for Transporter runs trips, LRs, e-way bills and the fleet — one record end to end.
Explore the Operations suite04 / 10 Transport yard · dawn
Trips, LR and e-way bills, a WhatsApp driver desk, lane-wise P&L and cash flow — one TMS for the whole fleet.
See SCM for Transporters05 / 10 Distribution centre · dispatch dock
Network planning, cold chain, FEFO stock, load building and a live digital twin of every depot.
See SCM for Manufacturers06 / 10 Packaging line · planning round
Forecasts, capacity plans and purchase orders from one digital twin of your plant — tuned to your own data.
See Production & Procurement07 / 10 Distributor godown · afternoon
Pending by outlet, one-tap dispatch with invoice, stock from gate to shelf and retailer dues — with the ASE’s group reporting itself.
See Distributor Management08 / 10 Finance desk · month end
Account Payables before payment goes out. AutoGrow on the lead. Content AI publishing from one desk.
Explore the Commercial suite09 / 10 Store audit · aisle four
Vidyanta in plain language. AutoAudit in the field. A single-use GPS tracker on high-value moves.
Explore the Insight suite10 / 10 Private compute · on-premise
Private models on your cloud or your own servers, trained on how your company actually decides.
See how we build itTrusted byOperators who run on the record, not on slides
01Digital twin · India
One truck leaves a 3D warehouse yard on real roads. Then the map turns to the questions a business asks: where revenue comes from, which customers might leave, which lanes run late, where the next DC should go, and which city wards wait longest.
3DPlant digital twins
All eight industries below. Click any plant to open it live: guided views from intake to dispatch, every machine clickable, AI insight cards that fly you to the problem. Fictional plants, sample data.
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Open in 3DHow the plant digital twins work →
Operational AIFictional plants with sample data — your twin is drawn from your own site and systems.
02Your AI journey partner
Your data becomes your company’s brain: a memory that knows what things mean and how they connect, and open models on your own servers that reason over it and act.
03What we ship
Thirty-five products across four suites. Pick a suite to narrow the list, or open the product that matches the bottleneck.
NewThe Autowhat 100
Every back-office job a small business pays a person to do, staffed by an AI agent: receptionist, GST reconciler, collections, bilty clerk and 96 more. 585 named tasks, and every agent asks before money moves.
How to read it
Each dot on the ring is an agent, grouped by family. Each line runs to a system it works in: WhatsApp, Tally, the GST portal and more. Hover an agent or a system to trace its links; click an agent to open its page.
04Where it lands
Every engagement starts from a row that already exists — an LR, a gate entry, a shift, a claim. Here is which signals that row carries, sector by sector.
Dispatch against the sheet, weighbridge on the gate, proof at hand-over.
GeoVisionTextYard moves, vehicle placement and lane exceptions on one trip row.
GeoVisionTextVideoGate, weighbridge and CCTV reading the same shift the plant releases on.
VisionVideoGeoThree-way match, approvals and document rules on local models.
TextRuns onAccount PayablesVidyanta
Field audit with a timestamped photo — the same asset row finance sees.
GeoVisionRuns onAutoAuditPortable GPS
Shift workforce on WhatsApp — attendance, rosters and close-out.
TextRuns onXforceAI Calling
Proof of visit the moment the rep leaves the site, not at month end.
GeoVisionTextRuns onAutoAuditAI CallingAutoGrow
Container movement, gate-in and clip proof against the bill of entry.
GeoVisionVideo
Control roomWhere the record is watched, live
05How the work is done
Four steps on every engagement, from discovery to production. Read the full method.
People, systems, bottlenecks and leakages on one map.
You getProcess mapWhere time, cost and exceptions leave the record.
You getGap registerTarget workflow, acceptance tests and a rollout plan.
You getTarget designBuild, train, and leave it running with audit history.
You getLive systemShelf software
Autowhat
0630-minute working session
An engineer from the relevant sector replies within four business hours. No SDR queue.
FAQCommon questions
Autowhat AI in five answers: what it is, who uses it, how long it takes, where the data stays and how it is priced.
In short. Autowhat AI is an operational AI company headquartered in Goregaon East, Mumbai. It builds and runs thirty-five products in four suites. The Operations suite covers the workforce, fleets, sites and cold chains; the Commercial suite covers payables, outreach, content, company filings, KYC, credit, collections, claims and reconciliation; the Insight suite turns scattered data into answers, from field audits to campus assistants; and the Enterprise suite runs plant-to-shelf control towers, planning, quality and digital twins. Every product works the same way: people on the floor use WhatsApp or a phone, managers see one live record, and an AI layer reads documents, images, GPS and sensor feeds so that exceptions reach the right person with the evidence attached. Deployments start with a thirty-minute working session on the customer's own data, go live on one site or process within weeks, and run on managed cloud, the customer's VPC or on-premises servers, with open-weight models available where data must not leave the network.
Autowhat AI is a Mumbai company that builds operational AI for enterprises. It ships 35 products across four suites — operations, commercial, insight and enterprise — that run on WhatsApp for the people on the floor and on one shared record for the desk, deployed on your cloud, VPC or servers.
Plant heads, transport owners, cold-chain and QA teams, finance and credit desks, distributors, colleges and public-sector control rooms. Typical customers run fleets, plants, warehouses, banks and campuses across India and abroad, and want fewer phone calls, faster decisions and an audit trail.
Most products go live on one site, lane or process within two to eight weeks. The first step is a 30-minute working session on your own data; an engineer scopes the first wave in that call, and the same engineers stay on the project after launch.
On managed cloud, in your own VPC on AWS, Azure or GCP, or on-premises, with your keys. India data residency is available, and open-weight models can run on your own GPUs so that nothing leaves your network. Controls follow SOC 2 Type II and ISO 27001.
Yes. Autowhat’s WhatsApp chatbot service has grown into WhatsApp AI agents that do whole jobs, not just answer questions. Each agent is built for one task, such as attendance, freight bids, distributor orders, KYC, collections, claims or student enquiries, and reads from the company’s own records. A person sees only the exceptions. See the Autowhat chatbot agents by job.
Per deployment, after a working session, not per seat from a public list. The price depends on the sites, users and systems in scope. Most customers start with one product on one site and add the next product on the same record, which costs less than the first.
