Pinnasys

Pinnasys is an Artificial Intelligence engineering partner and Claude Partner Network member, helping companies turn AI ideas into production-ready AI systems that run inside real workflows, products, and teams. We are a Senior AI engineering team specializing in AI Agents, AI Agent Development, AI Automation, AI Integration, Agentic AI, RAG pipelines, LLM workflows, Machine Learning, NLP, Computer Vision, Voice AI, and AI Chatbots. If your AI needs to work on Monday morning, not just in a slide deck, you are in the right place. Our work often starts when: AI prototypes fail under real-world usage, manual or semi-automated processes stop scaling, systems and data are fragmented across teams, internal teams struggle to own AI systems end-to-end, or there is an AI product idea but no clear technical roadmap. OUR SERVICES 1. AI Consulting That Enables Execution AI strategy and roadmap, AI readiness and maturity assessments, AI use case discovery and prioritization. We strengthen business intelligence and Data Science foundations so AI Development is built on reliable data. Set AI up for success before writing production code. 2. Generative AI and Agentic AI Generative AI applications, LLM-powered copilots, Multi-Agent Systems, and Agentic AI that does real work. RAG-as-a-Service with Vector Databases (pgvector, Pinecone, ChromaDB, FAISS), autonomous AI Agents using LangChain, LangGraph, CrewAI, and direct Claude API or OpenAI API integration with MCP servers. AI Voice Agents and AI Chatbots with Prompt Engineering, structured outputs, and refusal discipline. 3. AI Development and Software Engineering End-to-end AI Development for companies that need systems they can trust. Custom AI software development, enterprise AI Development, and AI App Development for web and mobile. AI Chatbots, Chatbot Development, RAG Systems, AI Models, and AI Model Integration connected to CRMs, ERPs, and APIs. Built on Python, FastAPI, Node.js, JavaScript, TypeScript, React, Next.js, PostgreSQL, TensorFlow / PyTorch, with multi-tenant architecture. 4. AI Operations, Deployment, and Responsible AI MLOps and LLMOps practices, model monitoring, retraining pipelines, Deep Learning lifecycle, performance optimisation. Deployed on AWS, Azure, and Google Cloud with Docker and CI/CD. Responsible AI and governance: security, privacy, risk controls for enterprise environments. We are a Claude Partner Network member, an Anthropic program. AI engineering team of 11-50. Multi-year engagements, including a 2,000+-hour B2B manufacturing anchor build. Portfolio across enterprise SaaS, fintech, insurance, healthcare, real estate. Top-rated team, 100% Job Success. A 30-minute call lets us understand your use case, your data, and your success criteria or KPIs. Those three inputs shape the build more than anything else.