We help SaaS founders and CTOs add AI features to their products , LLM integrations, RAG systems, LangGraph agents, and agentic workflows. Launch AI-powered features in weeks without rebuilding your product.
Every feature integrates with your existing product, data, and infrastructure , no full rebuild required.
Semantic search that understands user intent, not just keywords. Built with LangChain and Qdrant vector search on top of your existing product data. Users find what they need instantly , even with vague or natural language queries.
Connect your SaaS to OpenAI, Claude, or Gemini APIs with proper prompt engineering, context management, streaming responses, and cost optimization. We handle the full integration layer so your team can focus on product features.
Build a RAG (Retrieval-Augmented Generation) layer on top of your product data , user documents, knowledge bases, or databases. Your users get AI answers grounded in their own content, not generic LLM responses. Built with LangChain and Qdrant.
LangGraph agents that automate complex multi-step workflows inside your SaaS. An agent can read user data, make decisions, call external APIs, update records, and notify users , all triggered by a single action. Turns your product into an autonomous system.
Embedded AI assistants that help users navigate your product, answer questions about their data, and complete tasks through conversation. Built as LangGraph agents with access to your product's APIs and user context.
Intelligent dashboards that surface insights from your product data automatically. LLM-powered summaries, anomaly detection, and predictive analytics that help your users understand their data without needing to be analysts.
Most AI vendors want to rebuild your product. We integrate AI into what you already have , connecting to your existing database, APIs, and user workflows without disruption.
Our SaaS AI stack uses LangChain and LangGraph for agent orchestration, Qdrant for vector search, OpenAI or Claude for LLM inference, and FastAPI for low-latency APIs , all integrated with your existing Next.js or React frontend and Supabase or Postgres backend.
AI features added to your existing product via APIs and integrations.
RAG systems trained on your product data , not generic LLM responses.
Most AI features shipped in 4–8 weeks with bi-weekly demos.
Architecture designed to handle growth from 100 to 100,000 users.
Schedule a free consultation. We will review your product, identify the highest-impact AI features, and outline a delivery plan.