GenAI Product Development

Building production-ready generative AI applications from concept to deployment. We specialize in LLM integration, RAG systems, AI agents, and custom GenAI solutions that solve real business problems with measurable outcomes.

Who This Is For

Product teams, CTOs, and innovation leaders looking to build GenAI-powered products, integrate LLMs into existing applications, or develop custom AI solutions that create competitive advantage.

Deliverables

What We Deliver

Custom GenAI Applications
End-to-end development of generative AI applications tailored to your specific use case, from chatbots to content generation systems.
RAG System Implementation
Retrieval-Augmented Generation systems that ground LLM responses in your proprietary data for accurate, contextual outputs.
LLM Integration
Seamless integration of large language models (OpenAI, Anthropic, open-source) into your existing products and workflows.
Fine-Tuning & Optimization
Model fine-tuning, prompt engineering, and performance optimization to maximize accuracy and minimize costs.
API Development
Robust APIs and microservices architecture for scalable GenAI functionality with proper error handling and monitoring.
Safety & Compliance
Content filtering, bias mitigation, and compliance frameworks to ensure responsible AI deployment.

Real-World Examples

Example Engagements

Legal Research RAG System

Built CaseIntel, an AI-powered legal research platform using RAG to search and analyze case law. Integrated with multiple LLMs and implemented semantic search over 10M+ legal documents.

Outcome

Reduced legal research time by 70%, achieved 95% accuracy on case relevance, processing 1000+ queries daily.

Customer Support AI Agent

Developed intelligent customer support agent for SaaS company, integrating with knowledge base, ticketing system, and CRM. Implemented multi-turn conversations with context retention.

Outcome

Automated 60% of tier-1 support tickets, improved response time from 4 hours to 30 seconds, 4.5/5 customer satisfaction.

Content Generation Platform

Created GenAI-powered content creation tool for marketing team, with brand voice fine-tuning, multi-format output, and human-in-the-loop review workflow.

Outcome

Increased content production by 300%, maintained brand consistency, reduced content creation costs by 50%.

Investment

Timeline & Pricing

Typical Timeline

Typical GenAI product development engagements run 8-16 weeks depending on complexity. We follow agile methodology with 2-week sprints, delivering working prototypes early and iterating based on feedback.

Pricing Model

Project-based pricing starting at pricing on request for MVP development, pricing on request for full production systems. Also available as dedicated team augmentation at pricing on request per engineer per month. Includes infrastructure setup, deployment, and 30-day post-launch support.

Success Stories

Related Case Studies

See how we've helped other clients achieve their goals with similar services.

Ready to get started?

Let's discuss how genai product development can help your organization achieve its goals.