GKCodelabs Information

AI agents, Automations and RAG, built on production-grade data pipelines. Most AI projects stall at the pilot. The gap is almost never the model — it's the data layer underneath it. GKCodeLabs builds AI agents, RAG systems, and LLM applications on production-grade data engineering. We build the pipelines ourselves, so the AI layer survives real traffic instead of only working in a demo. WHAT WE BUILD 🔹 Document & Contract Intelligence Agents that read contracts, invoices, and claims — extract, classify, and load them into your database plus a RAG layer your team can query in plain English. 🔹 Voice AI Agents 24/7 inbound and outbound calling for appointment booking, support, lead qualification, and collections. Barge-in handling, CRM and telephony integration. 🔹 Agentic Process Automation Multi-agent workflows with LangGraph, CrewAI, and n8n: invoice-to-reconciliation, lead-to-CRM enrichment, support-ticket triage. 🔹 Data Engineering & Streaming Batch and real-time pipelines on Kafka, Spark, Flink, and Airflow — cost-optimised, tested, monitored. ETL-as-a-Service if you'd rather not run it yourself. 🔹 Analytics-Ready Data Modelled, documented data and dashboards that your BI tools and your agents can both use. STACK AWS · GCP · Azure · Databricks · Iceberg · Kafka · Spark · Flink · Airflow · LangChain · LangGraph · CrewAI · Python · Docker · Kubernetes HOW TO START Free data audit or a 20-minute call. We'll tell you whether your data is ready for the AI layer you want, and what it would take to get there. Engagements run as fixed-scope pilots, monthly managed retainers, or dedicated engineers. 📍 Electronic City, Bengaluru — working with teams across the US, UK, EU and the Middle East 📧 contact@gkcodelabs.com · 🌐 gkcodelabs.com