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Trusted by Innovators Across Industries

The data engineering work happens underneath: pipelines that are clean, tested, and production-grade, so the AI layer on top actually holds up. That's the difference between a chatbot that impresses in a demo and an agent your team can put into a real workflow.

We Build on the Best Technologies

Our expertise covers modern cloud platforms and tools that power reliable, cost-efficient, and scalable data solutions.

AWS
kafka
spark
data dog
Power BI
python
airflow
databricks
scala
Iceberg
docker
kubernetes
jenkins
flink
gcp
Microsoft Azure
elastic
crewai
langchain
n8n

Our Services

From raw data to AI-driven insights — GK Codelabs delivers end-to-end, cloud-native solutions built for scale, speed, and business impact.

Batch Data Processing

Batch Data Processing

We design and manage batch pipelines to process massive datasets reliably — optimized for cost, performance, and your business cadence.

Stream Data Processing

Stream Data Processing

Ingest, process, and act on data as it happens with low-latency pipelines that keep your business informed and responsive.

ETL-as-a-Service

ETL-as-a-Service

Extract, transform, and load data across sources with scalable, fully managed pipelines tailored to your logic — no engineering lift needed.

Analytics-Ready Data

Voice AI Agents

Inbound/outbound calling agents (support, collections, appointment booking, lead qualification) with barge-in/interruption handling and CRM/telephony integration.

AI Data Agents

Agentic Process Automation

Multi-agent systems (LangGraph/CrewAI) that execute multi-step business workflows end-to-end (e.g., invoice-to-reconciliation, lead-to-CRM enrichment, support-ticket triage-and-resolution)

Bring Your Own Cloud

Document & Contract Intelligence Agents

Extraction, classification, and structured-data pipelines for unstructured documents (contracts, invoices, claims), feeding both databases and downstream RAG. This one is a strong bridge because it's literally "data engineering + AI" in one product.

How We Deliver Value

Cost & Hassle

Building and maintaining in-house data infrastructure is expensive and time-consuming. GKCodelabs eliminates that burden by delivering fully managed, cloud-based data pipelines that scale automatically as your needs grow.

With optimized compute resources, serverless deployment, and automated orchestration, our clients experience up to 40% reduction in infrastructure costs and zero setup hassle.

Speed & Time

In today’s data-driven world, every second counts. Our batch and stream processing architectures deliver data at lightning speed — whether you need real-time event analytics or nightly data aggregation.

By leveraging technologies like Apache Kafka, Spark, and AWS Glue, we ensure your pipelines are optimized for throughput, latency, and fault tolerance. That means more data processed in less time, and decisions made in the moment.

AI-Driven Intelligence

Your data holds more value than simple reporting. We help you unlock it. Our AI Data Agents integrate seamlessly into your data ecosystem to automate pattern detection, enrich data, and deliver predictive insights.

From anomaly detection to customer intelligence, we make your data ready for analytics, AI modeling, and generative intelligence applications.

Tailor-Made Solutions

Every business is unique — so are its data challenges. Instead of cookie-cutter solutions, we design custom data architectures that fit your specific operational needs, compliance requirements, and scalability goals.

Whether you’re a growing SaaS startup or a global enterprise, GKCodelabs adapts to your cloud, stack, and workflow — not the other way around.

One-Stop Data + AI Enablement

We go beyond just building pipelines. GKCodelabs is your full-cycle data engineering and AI partner — from strategy and implementation to monitoring and optimization.

Our team helps you modernize legacy systems, migrate to the cloud, and operationalize AI without disrupting your existing ecosystem.

Are You Making These Data Mistakes?

We see common challenges across industries. Here’s where businesses get stuck:

Large volumes of data but not optimized for insights.

Large volumes of data but not optimized for insights.

Wasting hours on manual reporting.

Wasting hours on manual reporting.

Costly infrastructure setups that don’t scale.

Costly infrastructure setups that don’t scale.

AI projects stalled at proof-of-concept.

Ready to Supercharge Your Data?

Let’s build scalable, AI-powered solutions tailored to your business. Start your journey with GKCodeLabs today.

Trusted Data Solutions, Proven by Numbers

We take pride in the measurable value we bring to our clients.

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Pipelines Deployed

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Projects Completed

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Certified Experts

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What Our Clients Say

Trusted by global enterprises and fast-growing startups to deliver reliable, scalable, and intelligent data solutions.

Mohit Jain

Director, Data Engineering & AI Solutions

GKCodeLabs delivered a highly responsive and natural-sounding Voice AI Agent that met our expectations perfectly. Their expertise in conversational design and real-time processing was evident throughout the project. Communication was smooth, delivery was on time, and the final product was both reliable and scalable. Highly recommended for Voice AI solutions.

Vishal Pandey

Head of Product Engineering

GKCodeLabs helped us automate our entire data ingestion pipeline, cutting manual reporting time by 70%. Their batch processing solution scales beautifully with our workloads.

Suresh M.

Cloud & DevOps Lead

We are very satisfied with the LangGraph-based workflow automation agent delivered by the vendor. They demonstrated strong expertise in designing scalable, multi-step AI workflows with clean architecture. The solution is efficient, extensible, and easy to maintain. A great partner for building advanced AI-driven automation systems.

Karthik Reddy

Director, AI & Data Platforms

GKC team successfully deployed our RAG-based application on AWS along with a seamless GraphDB migration. Their expertise in retrieval systems, cloud infrastructure, and data migration ensured a smooth transition with zero disruption. The solution is performant, scalable, and well-architected. Great execution and highly reliable team for complex AI deployments.

Industry-Specific Data Solutions

We understand that every industry has unique data challenges. Our solutions are tailor-made to deliver results that matter.

IT Service Companies

IT Service Companies

IoT

IoT

Finance

Finance

Media Agencies

Media Agencies

SaaS

SaaS

Ecommerce

Ecommerce

Ed-Tech

Ed-Tech

Health Care

Health Care

News & Events

Data Engineering Fundamentals

Data Engineering Fundamentals

In the world of modern data infrastructure, two approaches dominate — Batch Processing and Real-Time (Streaming) Processing. Both are essential, but knowing when to use which can drastically impact cost,…

Learn More
Batch vs. Real-Time Data Processing — Which One Do You Need?

Batch vs. Real-Time Data Processing — Which One Do You Need?

In the world of modern data infrastructure, two approaches dominate — Batch Processing and Real-Time (Streaming) Processing. Both are essential, but knowing when to use which can drastically impact cost,…

Learn More
Why Cloud-Native Data Engineering Is the Future

Why Cloud-Native Data Engineering Is the Future

The era of on-premise data systems is fading fast. As data grows exponentially, businesses are turning to cloud-native data engineering — building systems that are agile, scalable, and designed to…

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AI Agents & LLM Apps Built to Run in Production

Most AI agents fail quietly - on stale data, broken pipelines, or retrieval that returns the wrong context. GKCodeLabs builds AI agents, RAG systems, and LLM applications on data infrastructure we engineer ourselves - so what you ship holds up under real traffic, not just demos.