Generative AI Development Services in India
Copilots, content tools, AI agents and smart search that create value from your data, safely.
OZRIT builds generative AI solutions for businesses in India and overseas. We help you choose practical use cases, build with the right models, ground outputs in your own data and add the controls that keep generative AI reliable and responsible.
Hire Us17+
Years in business
Founded in Hyderabad in 2009
500+
Engineers
Full-time, not freelancers
35+
Industries served
Across India and overseas
98%
Client retention
Long-term partnerships

Generative AI That Moves From Demo to Daily Use
Generative AI can draft, summarise, search, translate, design and write code. The hard part is turning that capability into something your team trusts and uses every day.
We begin with the work people already do and find where a first draft, a quick summary or a better search would save real time. Then we build a small, well-tested tool, put it in front of users, and improve it from their feedback.
Our generative AI services cover the whole stack: model selection, retrieval over your content, agents that use your tools, front ends your teams will enjoy, and safeguards for privacy, accuracy and cost. You own the result.
Generative AI services we offer
Practical generative AI for text, documents, images and workflows.
Generative AI strategy and use-case discovery
Pick the use cases with clear value, manageable risk and available data.
AI copilots and assistants
Helpers inside your product or internal tools that draft, explain and suggest.
Content generation workflows
Marketing copy, product descriptions, reports and translations, with human review.
Document and knowledge search
Ask questions of your documents and get cited answers.
AI agents
Assistants that plan steps and use your APIs to complete tasks with approval.
Image and media generation
Image, avatar and creative tools for apps and campaigns.
Generative AI app development
Mobile and web products with generative AI as the core feature.
Responsible AI and governance
Safety filters, review steps, logging and policies.
Our Generative AI Development Process
From a promising idea to a tool your team uses every day.
Use-Case Discovery
We choose where generative AI will help most, and how to measure it.
Data and Model Choice
We prepare your content and pick models for quality, cost and privacy.
Prototype
We build a small working version and test it with real users.
Build and Integrate
We develop the full application and connect it to your systems.
Evaluate and Secure
We test quality, safety and security with real examples.
Launch and Improve
We release, monitor usage and refine from feedback.
Where generative AI helps most
Typical use cases with fast, visible returns.
Customer support
Draft and suggest replies, and answer routine questions.
Marketing and content
First drafts, variants and translations for review.
Sales enablement
Account summaries, call notes and tailored outreach.
Operations
Summarise reports, extract data and flag exceptions.
Software engineering
Code explanation, test generation and documentation.
Education and training
Personalised explanations, quizzes and practice.
What decides the cost of generative AI projects
These factors shape your quote.
Use-case scope
A single assistant costs less than a multi-tool agent.
Data and knowledge sources
More sources and formats need more preparation.
Model approach
Hosted APIs, fine-tuned models and self-hosted models differ in cost.
Safety and review needs
Higher-risk use cases need more guardrails and testing.
Integrations and interface
Embedding in your product and tools adds engineering.
Usage and running costs
Model calls scale with usage, and we estimate them up front.
How we quote
A discovery sprint starts from $1,000 and ends with a fixed-scope or time-and-materials proposal. Team rates and engagement models are on our How We Work page.
Compliance Built In,
Not Bolted On
Regulatory requirements show up in architecture reviews, threat models, and rollout gates from sprint zero. Every system we ship is reviewed against the standards your industry, region, and customers actually live under, so production never surprises your auditors.
Industries we serve
We build with teams that already know your sector's rules, users and integrations, so you spend less time explaining your business and more time shipping.
Browse all industries- HealthcareDigital health and clinical systems
- FinancialFintech, banking and investment
- Food & HospitalityRestaurants, hotels and travel
- EducationEdTech, LMS and learning tools
- Information TechnologySaaS, cloud and enterprise software
- Retail & EcommerceStorefronts, POS and inventory
- Real EstatePropTech, listings and CRM
- LogisticsSupply chain and fleet tracking
OZRIT in the press
Our work and our team have been featured across leading technology and business publications.


























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How we work
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FAQ
Generative AI creates new content, such as text, images, audio or code, based on patterns learned from large datasets. Business uses include drafting, summarising, search, support and design.
It can speed up content creation, answer staff and customer questions, summarise long documents, help developers write code and add natural-language search to your product.
The cost depends on the use case, data quality, integrations and how much accuracy you need. A discovery sprint from $1,000 tests the idea on your data and ends with a fixed-scope or time-and-materials quote. Team rates are on our How We Work page.
A prototype takes 3 to 5 weeks. A production application with integrations and safeguards usually takes 2 to 4 months.
In practice it takes over first drafts and routine steps, so people can focus on judgement and relationships. We design tools with a human in the loop for anything important.
We ground answers in your content, add instructions and filters, test against tricky cases, and keep a review step where the stakes are high.
We use enterprise APIs with training opt-out, private deployments or open-weight models in your environment, plus masking, access control and logs.
Yes. Many projects add generative AI features to an existing app, website or workflow without a rebuild.
We work with OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama and Mistral, and recommend based on quality, cost and privacy.
Yes. You can add AI engineers to your team monthly, with a typical ramp-up of 10 to 15 business days.

What Founders Say About Building With OZRIT
OZRIT helped us create a digital experience that makes it easier for our users to connect, engage and discover our platform.
OZRIT helped us simplify our calling operations and build a CRM that is practical and easy for our team to use.