CUSTOM LLM DEVELOPMENT SERVICES
Build intelligent AI around your business.
From custom LLM applications and knowledge assistants to AI agents and workflow automation, we help turn language models into practical digital products.
LLM Applications
Purpose-built AI products
RAG & Knowledge AI
Answers grounded in your data
AI Agents
Connected business workflows
THE OPPORTUNITY
Your business has the data.
Make it work harder.
Valuable knowledge is often spread across documents, conversations and software. LLM-powered solutions can help teams find information, assist customers and reduce repetitive work—with the right controls and evaluation.
Find answers faster
Help people search approved knowledge in natural language.
Support customers
Build assistants that respond using relevant business context.
Streamline workflows
Assist with document processing, classification and task routing.
WHAT WE BUILD
LLM solutions designed for your needs.
Choose a focused starting point. We'll shape the architecture around your users, data, integrations and business goals.
Custom LLM applications
Conversational interfaces, AI copilots and intelligent SaaS features built for your product or team.
- Web apps and API integrations
- Model selection and orchestration
- Product-focused UX
RAG & enterprise knowledge AI
Connect language models with approved documents and data so answers can include relevant source references.
- Data ingestion and retrieval
- Knowledge search and permissions
- Answer-quality evaluation
AI agents & workflows
Use models with defined tools and APIs to support multi-step tasks with appropriate approval controls.
- Workflow orchestration
- Business-system connections
- Guardrails and monitoring
Document intelligence & AI search
Extract, summarize, compare and search complex content with validation suited to the use case.
- Document extraction
- Semantic search
- Structured outputs
LLM integration & deployment
Integrate hosted or open-source models and plan for reliability, security, performance and operating cost.
- Existing product integration
- Evaluation and fine-tuning assessment
- Deployment and optimization
Let's scope the right AI solution.
We'll help frame the use case, technical options and a sensible first milestone.
BUILT AROUND YOUR CONTEXT
Useful across industries.
HOW WE WORK
From use case to deployment.
Start with a clear problem and validate the solution before scaling the investment.
Discover
Define business outcomes, users, data readiness and constraints.
Design
Select models, retrieval patterns, integrations and controls.
Prototype
Test a focused proof of concept against representative tasks.
Build & evaluate
Develop the solution and assess quality, security, latency and cost.
Deploy & improve
Launch the agreed scope, monitor results and optimize over time.
THE OBRIVE APPROACH
Engineering AI for practical results.
Technology should serve a defined purpose. We focus on practical architecture choices, integration and evaluation—not AI for its own sake.
Plan your AI projectBusiness-first scoping
Clear goals, users and success criteria before implementation.
Integration-minded engineering
Consider how AI fits your existing products, data and workflows.
Evaluation and control
Plan for permissions, answer quality, reliability and human review where needed.
Practical deployment choices
Compare hosted and open-source options against your requirements.
FLEXIBLE ENGAGEMENT
Start with the right scope.
Engagements are tailored to complexity, data readiness and integration needs. Request a proposal for your use case.
Discovery & feasibility
Assess the use case, data, architecture options, risks and roadmap.
Proof of concept
Test feasibility, answer quality, integrations and expected operating costs.
Custom development
Build and deploy a tailored LLM application or integrated AI workflow.
LET'S BUILD SOMETHING USEFUL
Tell us what you want AI to do.
Share a few details about your project. The Obrive team can review the requirements and discuss an appropriate next step.
- Project-focused conversation
- Scope based on your actual requirements
- India and international enquiries welcome
Discuss your AI project
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QUESTIONS, ANSWERED
Before you start.
LLM development is the process of building software applications that utilize Large Language Models for understanding, generating, and reasoning with language, code, or multimodal data suited to business workflows.
Yes. Using Retrieval-Augmented Generation (RAG), we index your enterprise files, databases, knowledge wikis, and CRM data so the model provides accurate answers with citations back to approved source documents.
Not necessarily. Many solutions use existing hosted or open-source models. Fine-tuning or custom training should be considered only when requirements and evaluation justify the extra complexity.
Projects can include API integration, authentication, retrieval, user interfaces and connections to existing business systems, depending on the agreed scope.
Pricing depends on the use case, integrations, data volume, security requirements, model usage and deployment complexity. We recommend scoping the requirements before quoting.
International enquiries are welcome. Delivery arrangements, contracts, data residency, privacy and regulatory requirements should be agreed for each project.