Refat A.

Over 8 years we have helped startups and product companies build software that scales, from first prototype to Series B. More than 45 products shipped across Healthcare, LegalTech, SaaS, E-Commerce, and Transport. Our AI engineering team builds production systems, not research demos. We design agent architectures, RAG pipelines, and AI workflows using TypeScript (Mastra, Vercel AI SDK) and Python (LangGraph, Agno, Pydantic AI, LangChain). We work with Claude, OpenAI ChatGPT models, Gemini, and open-weight models (including GLM, Kimi, DeepSeek and many more), choosing based on task fit and cost constraints. We practice eval-driven development. Automated eval pipelines, LLM-as-judge scoring, quality gates, all of that runs before anything ships to production. We build MCP integrations and custom Agent Skills, implement structured outputs with guardrails, set up agent observability with tracing, and design context architectures so models get the right information at every step. We have delivered domain-specific AI assistants with RAG and ongoing eval monitoring, agentic tools with multi-step reasoning and tool use, legal document processing at 95% accuracy, AI data aggregation with automated validation, voice agent systems, and generative UI products. Our full-stack team supports AI products with solid web infrastructure: React, Next.js, Vue.js, TypeScript, Node.js, GraphQL, and REST APIs. We deploy on AWS, GCP, and Vercel, and work with PostgreSQL, Redis, and vector stores (Pinecone, Qdrant, pgvector). For mobile we use React Native and Flutter. Delivered results: RAG-powered support bot reduced resolution time by 70% and lifted NPS by 20%. AI event aggregation pipeline scaled B2B SaaS onboarding from 1 to 5 clients per month at 95% data quality. LLM document system cut legal research from days to hours. AI landing page builder matched agency-level output with zero designer involvement. First-year ROI across AI projects averages 3.2x. We have built AI systems for LegalTech (tax advisory, contract analysis), Healthcare (medication search with voice agents), Transportation (fleet management, real-time optimization), E-Commerce (content generation), SaaS platforms with AI-native features, and B2B products with intelligent data pipelines. Our clients are startups embedding AI into their product, and companies replacing manual workflows with intelligent automation. We cover the full cycle: discovery, architecture, development, eval pipeline setup, deployment, and ongoing optimization.