AI-first engineering · since 2013
Software that can learn, reason, decide and act. AI agents, GenAI, ML, data and IoT, built for production.
Since 2013
4 offices, 7 countries
AI agents in production
Our HQ · iThum, Noida, India
Who we are
Our main development centre is in Noida, India, with teams in Sydney, London and Germany. A senior engineer reads every enquiry.
Our HQ · iThum, Noida
2013
Founded, with BMW as our first client
7
Countries we've delivered in
12
Business domains, logistics to legal tech
59
Technologies in our day-to-day stack
Emeis Technologies · 02
Our clients' challenges

01 · Customer experience
AI assistants and apps that reply in seconds, on any channel, in the customer's language.
02 · Trust and compliance
Private models, GDPR-ready data handling, audit logs and a person approving risky steps.
03 · Operational excellence
AI agents and automation take the repetitive steps across systems that don't talk to each other.
04 · Business reinvention
We find the use cases worth building, prove them fast, then ship them to production.
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What we build
AI agents and multi-agent orchestration that run real business processes.
Assistants grounded in your own documents and data, including private models.
Forecasting, anomaly detection, NLP and computer vision.
Lakehouses, pipelines and integration, so AI has clean data to work with.
Sensors, drones and robotics that act on what they detect.
Web, mobile, cloud and DevOps, from first sprint to production.
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Technologies and AI
We pick the model for the job, not the hype: large models for reasoning, small ones for speed and privacy.
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Multi-agent orchestration
Goal
Resolve a delayed shipment
Orchestrator
Plans the steps, assigns each one, checks every result
Data agent
Fetches records
Prediction agent
Runs forecasts
Action agent
Updates systems
Comms agent
Informs customers
Human check
A person signs off on anything risky
Each agent gets only the access it needs
Every step is logged and testable
Limits on spend, retries and loops
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Case study · Logistics, India
Rule-based automation broke once volumes hit thousands of shipments a day. We replaced it with orchestrated agents.
One agent picks the best courier for every order
One watches for API failures and missed SLAs
One keeps customers updated on WhatsApp and SMS
A chatbot handles bookings and weight disputes

Orders a day, up from 5,000
22,000+
29,000 pincodes · 20,000 shipments in month one
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Case study · Legal tech
Our AI contract lifecycle platform for legal and finance teams, in three modules.
Contracts Studio
AI review flags risky clauses before signing
Obligations Hub
Every deadline and commitment tracked, with reminders
Receivables Engine
Links contract terms to invoices so money owed gets chased

Live in production
A large Indian manufacturer runs its contracts on LawSigna
and it gets smarter with every legal review.
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Case study · Automotive, Germany
Two earlier versions had failed. We rebuilt it from scratch, in Agile, inside a waterfall company.
Idea, funding, project and delivery in one tool
Passed penetration, load and code reviews
Became BMW's template for Agile delivery
Other departments joined after the first release

In use for
10+ years
45M in funding allocated in hours with its live workshop
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Case study · Wine and agriculture, USA
One of the world's largest wine companies planned sales on spreadsheets. We digitised it one step at a time.
Sales planning with AI demand predictions
CRM and a support desk with escalation rules
IoT monitoring across the vineyards
Bluetooth tracking for barrels in warehouses

Annual losses, year one
−20%
Revenue went up in the same year
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Case study · Field services, UK
One app for tradespeople, built to scale to millions of users on a tight budget.
Live team tracking, with hours spent at each job
Meeting, offer, job and invoice in one flow
An AI agent books and schedules jobs from chat
Video and text chat with the team and customers
Progress alerts and business insights in real time

Apps replaced
3 → 1
Invoicing, team chat and location tracking in one app, launched on time
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More we've shipped
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Industries
Logistics
Legal tech
Automotive
Healthcare
Retail
Manufacturing
Agritech
Media and TV
Robotics
Insurance
Hospitality
Field services
What we learn in one domain carries over: logistics and manufacturing problems often look alike underneath.
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Process overview
01
Understand
02
Build in sprints
03
Deploy automatically
04
Security and load tests
05
Release, monitor
Every change passes
Coding guidelines
Automated review
Peer and lead
Auto tests
Manual QA
Ready to ship
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Clients
















+ Many more
Emeis Technologies · 15 · Our first client, BMW, is still a client
Why clients stay
Security, quality and honest delivery are why a ten-year client relationship is normal for us.
Information security and quality management
Award from CNN News18
Onsite where it helps, offshore where it saves
Our "Change for Free" model keeps scope flexible
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Where we are
India · HQ
Main development centre
Australia
Local team for Australian clients
United Kingdom
Local team for UK clients
Europe
Local team for European clients
contactus@emeistechnologies.com
emeistechnologies.com
Emeis Technologies · 17
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