Generative AI Development Company
Markovate provides generative AI development services for enterprises: LLM fine-tuning, RAG knowledge assistants, copilots and agentic AI, built securely into your data and workflows. Start with a working proof of concept in 4–6 weeks.
Working PoC in 4–6 weeks · Model-agnostic: GPT, Claude, Llama, Gemini · ISO/IEC 27001 certified · You own the models and code
WHAT WE OFFER
Generative AI Development Services
Custom generative AI solutions we build
OUR FEATURED WORK
Generative AI Case Studies
Healthcare
Transformed Medical Research with a Generative AI Chatbot
- Reduced query response time by 60%
- Evidence-based responses supported by trusted data sources
- Summarizes lengthy and complex content into clear, actionable insights
- Streamlined information retrieval, improving decision-making
Real Estate
Cut Operational Costs by 86% for Property Inspectors
- Deep learning and computer vision driven image data extraction
- GPT-based NLP chatbot for enhanced customer experience
- Improved work efficiency by 80%
- Image classification for detecting anomalies
Insurance
Redefined Large-Scale Document Processing for Accurate Insurance Submissions
- 80% improved accuracy in data extraction and validation
- Identifies missing fields and ensures data consistency
- Scalable for handling high-volume submissions
- Improved underwriting decisions with accurate data insights
Legal
Reimagine Legal Support Driven by in-Depth Legal Research
- Legal Chatbot Assistant
- Improved Communication Efficiency
- Research Time Reduction by 64%
Manufacturing
Revolutionized ERP System with an AI Agent for Streamlined Order Management
- Automated order placement and real-time tracking
- 95% order accuracy with reduced response times
- Seamless ERP integration for inventory and pricing updates
- Enhanced operational productivity across departments
What our clients say
See how businesses are using our AI solutions to make better decisions with measurable impact.
Generative AI That Is Accurate, Secure and Under Your Control
Our Generative AI Development Process
You get: Prioritised use cases, success metrics and a data-readiness check
You get: Clean, versioned datasets and a repeatable pipeline
You get: A model choice backed by test results on your data
You get: A working proof of concept with an evaluation report
You get: A production system inside your existing tools
You get: Performance monitoring and model updates from user feedback
Generative AI development Tech stack we use
LLMs and generative AI models we work with
GPT (OpenAI)
Claude (Anthropic)
Gemini (Google)
Llama (Meta)
Mistral
Cohere Command R+
DeepSeek
Stable Diffusion
Ways to work with us
Generative AI development services
What makes Markovate the right partner for Generative AI development?
Do you build fully custom Generative AI solutions or integrate existing models?
What is your typical engagement process for Generative AI projects?
How do you ensure data security, compliance, and IP protection?
How much does generative AI development cost?
Should we use RAG or fine-tune an LLM?
How do you stop generative AI from making things up?
Which LLM is right for our project?
Ready to put generative AI to work?
Tell us about your use case and we will help you choose the right model and approach, and plan a realistic path to a working proof of concept in 4–6 weeks.
Whether you need a RAG assistant on your documents, a copilot for your team or an AI agent inside your ERP, our engineers can help you build it securely on your own data.
Get your AI readiness assessment
Tell us about your goals and we will match you with the right AI consultant.
Point of view
On-device LLMs: The Disruptive Shift in AI Deployment
Large Language Models (LLMs) have reshaped how we interact with technology, powering everything from smart search to AI writing assistants. But until now, their power has mostly lived in the cloud. That’s starting to change. On-device LLMs are bringing this...
ERP Automation 2.0: How Generative AI Is Reshaping ERP
ERP automation has powered enterprise operations for decades, but they have struggled to keep up with today’s speed, complexity, and scale. Manual data entry, fragmented workflows, and inaccurate forecasts have long held back their full potential. Now, Generative AI...
Diffusion LLMs (dLLMs): Introducing a New Generation of LLMs
Diffusion LLMs: Introduction In a world where we have relied on autoregressive models to drive AI, a new approach is quietly gaining momentum- Diffusion Large Language Models (dLLMs or diffusion LLMs). Unlike the models we are used to, which predict text one word at a...
Quantum Computing Applications: Top Industry Use Cases
Quantum computing is no longer a lab experiment — it's entering real business operations. Industries like finance, healthcare, logistics, and manufacturing are already running pilots and seeing measurable results. The global quantum computing market is expected to...




