AI & ML Development Company in South Delhi
Ureka is an AI and machine learning development company in Delhi NCR. We build AI that does one specific job inside your business: reading documents, answering customers, spotting patterns, or handling the work nobody wants to do twice.
We will tell you if AI is the wrong tool for your problem. That happens often.
ureka.devAI & ML Development for businesses in South Delhi
Our office is in South Delhi, so this is home ground. Most meetings here are a short drive — a clinic in Malviya Nagar, a boutique in Lajpat Nagar, an export house in Okhla, an IT reseller in Nehru Place. We can usually be at your desk the same week you message us.
Typical South Delhi work: a WhatsApp assistant that answers clinic and coaching enquiries from your own fee sheets, invoice reading for Okhla exporters, and lead scoring for real estate offices along the Mehrauli–Badarpur road.
Areas we cover in South Delhi
- Saket
- Malviya Nagar
- Hauz Khas
- Greater Kailash
- Nehru Place
- Kalkaji
- Okhla
- Lajpat Nagar
- Vasant Kunj
AI & ML Development in other cities
Everyone is selling AI. Almost nobody is asking what you need it for.
You have been pitched a chatbot. Maybe an “AI-powered” version of software you already own. None of it touched the thing that actually costs you time.
Meanwhile someone spends four hours a week copying numbers out of invoices. Someone else answers the same eleven questions every day.
Those are AI problems. A chatbot bolted onto your homepage is not.
What we build
AI is only worth doing when it removes a specific, repeated cost.
Document extractionMost requested
Invoices, forms, contracts, prescriptions, IDs — read, checked, pushed into your system.
AI agents
Software that completes a task end to end, instead of just returning text.
03Support automation
Trained on your own documents and prices. Hands over to a human when it should.
04Search your own documents
Ask in plain language, get an answer from your files with the source attached.
Predictive models
Forecast demand, spot customers about to leave, flag transactions worth reviewing.
Computer vision
Quality checks on a line, counting and tracking, reading meters and labels from photos.
Generative media
Custom image and video models for teams producing creative work at volume.
Workflow automation
Connecting systems and moving data, with AI only where judgement is genuinely needed.
Agents, chatbots and search over your documents are covered in more depth under generative AI development: RAG and agents. Not sure AI will work on your data? Start with a fixed-price AI pilot.
What AI will not fix
We turn down AI projects regularly. Usually for one of these reasons.
You do not have the data yet.
Models learn from history. If your records are six months of inconsistent spreadsheets, the honest first project is fixing how data gets collected — and that is cheaper.
The process is broken, not slow.
Automating a bad process gives you a bad process running faster.
Existing software already does it.
A lot of what gets pitched as AI is a report, a rule, or a tool you already pay for.
The task cannot tolerate being wrong.
AI is right most of the time, not all of the time. Where an error is expensive, a human has to stay in the loop — and if that removes the saving, the project is not worth doing.
Who this is for
Businesses with a repeated manual cost
Something happens hundreds of times a month and a person does it by hand every time.
- Finance and operations teams processing documents at volume
- Support teams answering the same questions daily
- Manufacturers and logistics with inspection or tracking work
- Healthcare, legal and education organisations buried in paperwork
Where we start: the one task with the highest volume and the clearest right answer.
Startups building AI into the product
AI is part of what you are selling, and it has to actually work.
- Founders building an AI-first product
- Teams adding intelligent features to existing software
- Companies needing ML engineering without hiring an ML team
Where we start: a prototype on your real data, so you learn what is achievable before building a roadmap on it.
How we work
AI projects fail when they start with a model instead of a task. We go the other way.
- 01
We find the task worth automating
A call about where time goes, not about technology. High volume, repetitive, clearly correct answer.
- 02
We check your data can support it
Before any promises. This step ends some projects, and it should.
- 03
We build a pilot on your real data
One task, real inputs, measured against how your team does it today. Weeks, not months.
- 04
You decide with a number in front of you
If it hits, we scope the full build. If not, you stop having spent very little.
- 05
We build it into your workflow
The model is the small part. It has to sit inside the tools your team already uses.
- 06
We monitor it after launch
Models drift as your data changes. We track accuracy and retrain when it slips.
AI app development
A lot of AI work is a feature inside an app: a support assistant in your customer app, a camera screen that reads a meter or a label, a staff app that pre-fills a form from a photo of an invoice, or a dashboard that flags the orders worth checking.
We build the app and the AI together, so the model sits behind the same backend, logins and permissions as everything else. That is usually where AI features fail when two separate vendors build them.
AI inside a mobile app
Choose this when
- — Customers or field staff do the task on a phone
- — The input is a photo, a voice note or a chat
- — It has to work on mid-range Android
AI inside a web application
Choose this when
- — Your team does the task at a desk, in a dashboard
- — Documents arrive by upload or email
- — Results feed a portal, CRM or report
AI-powered mobile apps and web applications with AI built in, from the same team.
What an AI project costs
The cost depends on the task and the state of your data, so there is no price list. Every stage gets a fixed price in writing before it starts, and most AI projects should start with the first one.
AI pilotStart here
Fixed price, agreed in writing before we start.
One task, your real data, four weeks. You get a working prototype, measured accuracy against how your team does it today, and a written go or stop recommendation. If it is a stop, you have spent the pilot price and nothing more.
How it worksFits: almost every first AI project.
Fixed-scope build
Quoted after the pilot, as a fixed scope.
Scope, timeline and cost in writing, based on what the pilot measured. Milestone payments, delivered into your existing systems.
Fits: a proven pilot moving into production.
Dedicated team
Monthly, when AI is part of the product itself.
A monthly pod on your product: models, data pipelines, and the software around them.
Fits: AI-first startups and ongoing ML development.
Not sure where to start? Describe the task that eats the most time. We will tell you whether it is an AI problem, a software problem, or neither.
Describe the Task on WhatsAppWhat we build with
We use whichever model fits the task and the budget — Claude, GPT, Gemini, and open models like Llama and Mistral where running it yourself matters. Python, PyTorch and scikit-learn for custom models. Vector databases for search over your own documents. Deployed on AWS, or on your own servers when the data cannot leave.
We are not tied to one vendor. Model pricing and capability change every few months, and being locked to a single provider costs you money and options.
Your data stays yours
We do not train public models on your data.
It is used to build your system and nothing else.
We can run it on your infrastructure.
If the data cannot leave your servers, we build it to run where you need it — including fully offline.
You own the model and the pipeline.
Code, training setup, deployment. You are not renting access to something we control.
We sign whatever you need first.
NDA before the detailed conversation, data processing agreements, access limited to the people building it.
AI and data work we have shipped
Ad creative generation
An ad agency was booking a photo shoot for every product variant and every campaign. We built a Stable Diffusion pipeline trained on their own product images, so the team now generates campaign visuals in-house and only shoots what genuinely needs a camera.
See more of our workCareSync
Patient data was stuck on individual hospital machines. We built a cloud system that stores records securely, generates patient history reports automatically and gives doctors and nurses real-time analytics.
See more of our workThese are the AI and data projects we can name publicly. The others are under NDA or still running. On a call we can walk through that work in detail, without the client's name attached.
See more workWhy businesses work with us on AI
We build software, not just models.
A model that is not wired into your team's tools does nothing.
We start small on purpose.
A pilot on your real data before a full build.
We tell you when the answer is no.
Saying so early is cheaper than discovering it in month four.
You own all of it.
Code, models, pipelines, infrastructure. Nothing locked to us.
AI & ML Development Company in South Delhi and across Delhi NCR
We are based in New Delhi and work with businesses across South, East, West and North Delhi, Noida, Greater Noida, Gurgaon, Ghaziabad and Faridabad, and with teams in Lucknow, Jaipur and Varanasi.
If you are in Delhi NCR, we will come and meet you. An hour on your shop floor, at your front desk or in your back office tells us more about how the business runs than a week of calls. For Lucknow, Jaipur and Varanasi, everything happens over WhatsApp and video, and we travel in for the kickoff when a project needs it.
New Delhi, India · GMT+5:30
Frequently asked questions
Yes. Ureka Technologies is based in South Delhi, New Delhi 110080. We meet South Delhi clients in person — Saket, Malviya Nagar, Hauz Khas, GK, Nehru Place, Kalkaji, Okhla, Lajpat Nagar and Vasant Kunj are all a short drive away.
The same as anywhere else we work — there is no city premium. Pricing depends on scope, and after one call you get a fixed written quote for your exact scope that does not move unless the scope does.
It depends on the task and the state of your data, so we do not publish a price list. Most projects start with a four-week pilot on one task, at a fixed price agreed in writing before we start. If the pilot works, we quote the production system as a fixed scope and timeline, using the numbers the pilot measured. If it does not, you stop there and have spent only the pilot price. See how the fixed-price AI pilot works
Yes. We build AI features inside mobile apps and web applications: assistants that answer from your own documents, screens that read invoices, IDs or meters from a photo, and dashboards that flag what needs a person's attention. We build the app and the AI together, so they share one backend. See AI-powered mobile apps
For predictive models, yes — they learn from your history, and the quality of that history sets the ceiling. For document processing, chatbots and AI agents, often no: those can work from your existing files, policies and rules. We check what you have before promising anything.
For general writing and research, use it. Custom work is worth it when the AI needs your private data, has to follow your specific rules, must connect to your systems, or has to run the same task reliably thousands of times without a person prompting it each time.
No. Your data is used to build your system and nothing else, and we do not contribute it to public model training. Where data cannot leave your infrastructure, we build the system to run on your own servers, including fully offline. NDAs are signed before detailed discussions.
That depends on the task and your data, and anyone quoting a number before seeing either is guessing. This is why we run a pilot: you get measured accuracy on your own material, compared against how your team performs today, before deciding whether to build the full system.
A pilot takes four weeks. A production system built into your workflow takes longer, because connecting it to your existing tools is normally the larger part of the work. The model itself is often the fastest piece to build.
Every system we build is designed around that. Low-confidence cases get routed to a person instead of guessed at, decisions are logged so errors can be traced, and accuracy thresholds are set with you. For tasks where a mistake is expensive, a human stays in the loop by design.
Usually yes. Most business systems can be connected through an API, a database, or a file exchange. Where a system is genuinely closed, we build around it. We check what you run during the first conversation, because integration is often the deciding factor.
Yes. We build assistants on the official WhatsApp Business API, trained on your own documents, prices and policies, that hand over to a human when they should. For Indian businesses this is usually the highest-impact place to put an AI assistant. See our WhatsApp solutions
We tell you, on the first call, and explain what would work instead — often better software, a cleaner process, or a tool you already own. We would rather lose a project than build something that does not earn its cost. It happens regularly.
Tell us what is eating the most time
Describe the task: the one that happens hundreds of times a month and always needs a person. We will tell you whether AI can do it, what a pilot would look like, and what it would take to find out. If it is not an AI problem, we will tell you that instead.
- We reply on WhatsApp within a few hours.
- A 20-minute call about how your business runs.
- A fixed written quote within 24 hours. No obligation.
Phone
Reply within a few hours on WhatsApp, fixed written quote within 24 hours. NDA signed before you share anything.
Services
Knowledge centre