• RAG (Retrieval Augmented Generation) Systems, Connect LLMs to your proprietary data. Intelligent Q&A over documents, knowledge bases, and databases with source attribution and hallucination guardrails
• Autonomous AI Agents, Multi step reasoning agents that plan, execute, and iterate using LangGraph, CrewAI, OpenClaw, and custom orchestration. Tool calling agents that interact with APIs, databases, and external services
• Voice AI Agents, Production grade voice bots and phone agents built with Vapi and Retell AI. Automated customer support, appointment scheduling, lead qualification, and outbound calling with natural sounding AI

voices and real time conversational intelligence

• LLM Powered Products, AI writing assistants, code generation tools, intelligent search, automated report generation, and domain specific AI copilots built for your industry
• Enterprise AI Integration, Secure, compliant LLM deployment within your infrastructure. Private model hosting,

data isolation, role based access, and audit logging for enterprise requirements

• Custom Model Fine Tuning, Domain specific fine tuning of open source LLMs (Llama 3, Mistral, Phi-3) using LoRA, QLoRA, and RLHF. Optimize for your vocabulary, tone, and task requirements
• Multi Modal AI, Systems that process and generate across text, images, audio, and structured data. Vision language models, document understanding, and cross modal retrieval

Every company is experimenting with ChatGPT. Few are building production grade generative AI systems. The difference is engineering.

We have shipped LLM powered products across industries, from AI copilots for geological exploration to autonomous agents for business process automation to voice AI agents handling thousands of calls. We understand the hard problems: managing context windows, preventing hallucinations, optimizing latency and cost, implementing evaluation frameworks, and building reliable agentic systems that don't break in edge cases.

Our team actively builds with the latest tools: Claude Code for autonomous development, Cursor and Windsurf for AI assisted coding, LangGraph for stateful agent workflows, Vapi and Retell for voice AI, Lovable for rapid prototyping, and OpenClaw for multi agent coordination. We don't just follow trends, we ship production systems using them.

Our generative AI work is backed by deep ML expertise. 75 to 80% of everything we build is AI. We don't bolt LLMs onto existing apps. We architect products where AI is the core value proposition.

• LLMs, GPT-4o, Claude 3.5 Sonnet, Llama 3, Mistral, Phi-3, Gemini. Multi model routing and fallback strategies
• Frameworks, LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack
• Vector Stores, Pinecone, Weaviate, Qdrant, ChromaDB, pgvector
• Agentic AI, LangGraph for stateful workflows, CrewAI, AutoGen, OpenClaw for multi agent orchestration, Claude Cowork for desktop automation
• Voice AI, Vapi for programmable voice agents, Retell AI for conversational telephony, Deepgram for speech to text, ElevenLabs for text to speech
• Fine Tuning, Hugging Face TRL, Axolotl, Unsloth. LoRA and QLoRA on consumer and enterprise GPUs
• Evaluation, RAGAS, LangSmith, DeepEval, custom hallucination detection and response quality metrics
• Deployment, vLLM, Ollama, AWS Bedrock, SageMaker, FastAPI, streaming endpoints
• Dev Tools, Claude Code for autonomous coding, Cursor IDE, Windsurf, Lovable for rapid MVP generation

• Use Case Discovery, We identify where generative AI creates real business value, not just where it is trendy. ROI first thinking.
• Proof of Concept, Rapid prototyping with your actual data. Working demo in 1 to 2 weeks to validate feasibility and business impact.
• Production Engineering, Robust architecture with error handling, fallbacks, caching, rate limiting, and cost optimization. The 20% that takes 80% of the effort.
• Monitoring and Iteration, Continuous evaluation of output quality, user feedback loops, and model updates. Generative AI systems need ongoing tuning, we build for that from day one.