Priyesh Patel
Founder & CEO
Driven by what technology, AI and machine learning can do to operations — and by building a better, more intelligent way of working.
- Finance strategy
- AI & ML systems
- Logistics tech
AboutAutowhat AI
AI for the work that runs the business.
Autowhat AI builds operational AI — systems that run on the plant floor, in the fleet, at the distributor, in the field and on the finance desk. thirty-four products across four suites, each designed around how the work actually happens, for enterprises wherever they operate.
- 22products in four suites
- 50+AI engineers & process experts
- 11+enterprise deployments
- 8industries served
- 5core AI capabilities
- 4engineering hubs
01What we build
thirty-four products, four suites, one way of working.
Every product starts from the same place: the process as it really runs. Pick the suite closest to your bottleneck.
01 · Operations
Run the field, the fleet, the site and the city.
02 · Commercial
Sell, lend, collect, insure and comply.
03 · Insight
Ask, audit, track and decide on data.
04 · Enterprise
Plants, supply chains and industrial physics.
- SCM for ManufacturersAI Control Tower
- Production & Procurement
- Distributor Management System
- AutoQCPhoto-evidence QC
- AI CallingVoice Agents
- FreightPlanTransport Cost Planning
- Warehouse OS3D Twin & Order Fulfilment
- GrainGradeWheat Quality from a Photo
- Furnace TwinPhysics-based Digital Twin
- Steel TwinSteel Plant Digital Twin
02Inside every product
Five capabilities, combined for each operation.
The same building blocks recur across the portfolio — so a solution proven in one industry is ready for the next.
- 01
Agents & workflows
Requests read, routed and approved; work that moves through WhatsApp, email and voice without retyping.
Xforce · Sampark · AI Calling · AutoROC - 02
Vision
Cameras and phone photos measured against a spec — pieces, grains, gates and kitchens.
AutoQC · GrainGrade · AutoAudit · EduWatch - 03
Digital twins & optimisation
Physics and solvers that test a decision before it reaches the plant or the road.
Furnace Twin · FreightPlan · Warehouse OS · Production & Procurement - 04
Knowledge & data
Company memory that answers in plain language, with every number traced to its source.
Vidyanta · Terminal X · ColdWatch · SCM for Manufacturers - 05
Integrations
ERP and SAP, BACnet and Modbus, GPS, cameras, regulator portals — connected, not replaced.
SCM for Transporter · Distributor Management · Account Payables
03Founders
Finance, metallurgy and process excellence — in one founding team.
Three backgrounds that rarely meet: the numbers, the plant floor and the process. Together they decide how every Autowhat system is designed.
IIT Kharagpur · ex-Tata Steel
Mukesh Kumar
Co-founder
Brings the mindset of a scientist, inventor and industrial problem-solver, from developing solutions in metallurgy and materials at Tata Steel.
- Industrial science
- Materials & metallurgy
- Problem solving
IIM Rohtak
Akanksha Agarwal
Co-founder
Brings a relentless focus on continuous improvement, operational excellence and process optimisation across complex enterprise operations.
- Process excellence
- Continuous improvement
- Enterprise operations
04Leadership
Sixty-five years of delivery between two directors.
Enterprise technology and business excellence, leading projects and solution delivery.
Director · Projects
Sandip Vartak
Three decades in AI, enterprise software, cloud infrastructure and digital transformation; leads technology strategy.
Director · Solution delivery
Rajesh Chakrabarty
35+ years in business excellence and learning across QSR, contact centres, KPO and logistics; leads delivery and WhatsApp-first automation.
05The team
50+ engineers and process experts, built in six months.
Engineers who learn the process before they write code — and stay on call after go-live.
Ashwini Khandbhor
Head of OperationsTurns real-world process problems into practical, AI-enabled solutions.
Azhar Shaikh
Cloud & DevOps · AI engineering leadLeads the AI engineers who turn requirements into production systems.
Dipesh Nerpagar
Lead AI Architect · Solutions deliveryLLM orchestration, agentic workflows and enterprise deployments.
Danish Shaikh
Mentor · Production AIShapes technical direction for production-grade AI systems.
Vivek Gupta
Team LeadArchitecture, intelligent automation and reliable delivery.
Chirag Vishwakarma
Team LeadIntelligent agents and ML models for operational efficiency.
Umesh Pandey
Team LeadLLM integration and AI workflows that streamline processes.
Kamyab Ali Agharia
Team LeadAI system development and model optimisation.
Aryan Karki
Team LeadConversational AI and dependable model integration.
Abhishek Tiwari
Team LeadAI-driven products and scalable engineering practice.
06What we believe
We don’t just build software. We engineer better processes.
First we understand how a business actually runs — people, processes, systems, value streams, bottlenecks and leakages. Then we apply AI and automation designed around it.
We save
Eliminating operational leakage
Waiting, rework, over-processing and the rest of the classic process wastes — found and removed across enterprise workflows.
- Time saved
- Effort reduced
- Cost saved
We improve
Standardising and controlling execution
Processes made consistent, controlled and measurable at every operational touchpoint.
- Efficiency
- Process control
- SLA accountability
We create intelligence
Turning data into decisions
Operational data turned into insight leadership can act on — the day it happens, not at month-end.
- Visibility
- Prediction
- Faster decisions
07How we work
Four steps on every engagement, from discovery to production.
The same method whether the system is a WhatsApp desk for a fleet, a quality camera on a line or a digital twin of a furnace.
- 01
Understand
People, systems, bottlenecks and leakages on one map.
You get · Process map - 02
Find gaps
Where time, cost and exceptions leave the record.
You get · Gap register - 03
Transform
Target workflow, acceptance tests and a rollout plan.
You get · Target design - 04
Apply
Build, train and leave it running with an audit trail.
You get · Live system
Sectors we know from the inside
- Manufacturing
- Logistics & fleet
- Restaurants & QSR
- BPO & shared services
- Retail & distribution
- Bedding & home furnishing
- Heavy industry & plants
- Capital markets & finance
08Where we are
Engineering in four hubs, delivery wherever you operate.
An engineer from the relevant sector replies to every enquiry within four business hours, in your time zone.
09Work with us
Bring the bottleneck. We’ll bring the people who fix it.
A 30-minute working session with the engineers who would build it — not a sales queue.
FAQCommon questions
Short answers, straight from the team.
The questions buyers and assistants ask most about About Autowhat AI.
In short. Autowhat AI is a Mumbai-based company that builds operational AI for enterprises. It was founded by Priyesh Patel, Founder and CEO, with co-founders Mukesh Kumar and Akanksha Agarwal, and is run with directors Sandip Vartak and Rajesh Chakrabarty. More than fifty AI engineers and process specialists build the products and stay with them after launch. The company's method is simple and repeatable: map how the work actually runs on site, name where time and money leak, write the acceptance criteria with the customer, then ship the system and keep the same engineers on the calls. That method has produced thirty-four products across operations, commercial, insight and enterprise suites, used by plants, transporters, warehouses, banks, colleges and public-sector control rooms. Products run on WhatsApp for frontline staff and on one shared record for managers, and deploy on managed cloud, a customer VPC or on-premises hardware, with data residency in India when required.
Who founded Autowhat AI?
Autowhat AI was founded by Priyesh Patel (Founder and CEO) with co-founders Mukesh Kumar and Akanksha Agarwal. Directors Sandip Vartak and Rajesh Chakrabarty lead projects and solution delivery, and a team of more than fifty AI engineers and process specialists builds and runs the products.
Where is Autowhat AI based?
The head office is on the 6th floor, Plot No. 53/1, Visheshwar Nagar Road, Goregaon East, Mumbai 400063. Teams work from customer sites in Mumbai, Pune, Delhi NCR and Bengaluru, and deployments run across India and abroad.
How does Autowhat AI work with a customer?
In four steps: map the workflow on site, name where time and money leak, write the acceptance criteria, then ship the system and stay on the calls. The engineers who scope a project are the ones who build it and support it after go-live.