AI/ML Implementation
AI That Works Because the Data Underneath It Works.
Everyone wants AI. But AI built on bad data produces bad results. We build AI systems on solid foundationsso your LLMs, recommendations, and automations actually deliver value.
Problems We Solve:
What we build:
RAG Systems
Retrieval-Augmented Generation architectures that ground LLMs in your company's data
Conversational Analytics
Natural language interfaces to your data. Ask questions in plain English, get answers from your warehouse.
Vector Search
Semantic search across documents, support tickets, customer feedback ,anything unstructured.
LLM-Powered Workflows
Automation that uses AI to extract, classify, summarize, or act on data.
Tech Stack we use
Langraph, Google ADK, Pydantic AI
Chroma, FAISS, Pinecone
ChatGPT, Claude, Gemini,Deepseek, Kimi
Observability
Langfuse,Datadog
Custom Code
Custom Python Apps
