Custom LLM for GenAI and RAG
Build domain-specific GenAI systems that deliver grounded, trusted responses.
Challenge to solution:Make LLMs work for your business
Challenge
Solution
Challenge
Struggling to get accurate results from general purpose LLMs?
Solution
Fine-tune models using organization specific data, workflows, and language
Challenge
Concerned about hallucinations and unverified answers from GenAI tools?
Solution
Retrieval- Augmented Generation (RAG) pipelines with trusted, internal content sources
Challenge
How to manage infrastructure, security, and performance at scale?
Solution
Customizable deployment options, onprem, hybrid, or cloud with full governance
Challenge
Want to simplify LLM integrations with existing business systems?
Solution
Build connectors and orchestration layers that embed LLMs into enterprise processes
What we do:
- Analyze test logs to spot redundancies
- Recommend test sets by risk and scope
- Auto-run tests via CI/CD workflows
Business impact:
- Focus shifts to high-impact testing
- Shorter QA time, faster delivery
- Smarter tests with ongoing learning
RAG pipeline design
Ground your GenAI responses in real-time, trusted enterprise knowledge.
What we do:
- Analyze test logs to spot redundancies
- Recommend test sets by risk and scope
- Auto-run tests via CI/CD workflows
Business impact:
- Focus shifts to high-impact testing
- Shorter QA time, faster delivery
- Smarter tests with ongoing learning
Want to deploy fine-tuned LLMs with 90% accuracy gains?
Enterprise deployment models
Run custom LLMs where they best fit without tradeoffs.
What we do:
- Analyze test logs to spot redundancies
- Recommend test sets by risk and scope
- Auto-run tests via CI/CD workflows
Business impact:
- Focus shifts to high-impact testing
- Shorter QA time, faster delivery
- Smarter tests with ongoing learning
System integration and orchestration
Connect LLMs into real workflows, not just chat windows.
What we do:
- Analyze test logs to spot redundancies
- Recommend test sets by risk and scope
- Auto-run tests via CI/CD workflows
Business impact:
- Focus shifts to high-impact testing
- Shorter QA time, faster delivery
- Smarter tests with ongoing learning
Prompt engineering & optimization
Refine model interactions and improve output quality with optimized prompts.
What we do:
- Build tailored prompts aligned with context and goals
- Optimize prompt flow and response accuracy
- Refine models using feedback and usage insights
Business impact:
- Higher accuracy in model responses
- Reduced model usage and compute costs
- Consistent, high-quality AI output generation
Domain-specific chatbot development
Build intelligent chatbots rooted in your enterprise knowledge base.
What we do:
- Train bots on domain-specific enterprise datasets
- Implement retrieval-augmented generation for accuracy
- Deploy across channels with feedback optimization loops
Business impact:
- Relevant, context-aware chatbot conversations
- Faster resolution with improved user engagement
- Scalable virtual assistance with continuous learning
