Intelligent Data Infrastructure & Insights
Build AI Agents That Work - Not Just Demos
We audit your systems, uncover high-leverage use cases, and deploy AI agents that deliver measurable results.
Book a Consultation
80%
Reduction in reliance on human support
Intelligent Data Infrastructure & Insights
Build AI Agents That Work - Not Just Demos
We audit your systems, uncover high-leverage use cases, and deploy AI agents that deliver measurable results.
Book a Consultation
Welcome to Tech Support Dev
Ship AI-First Products Faster with Scalable Infra & Automation
Book a Consultation
We build cloud-native infrastructure optimized for AI workloads—from model training to deployment. Our DevOps pipelines are designed to automate experimentation, reduce latency, and scale AI products securely and reliably.
Here’s How It Works
A Simple, Streamlined Process
Step 1
Discovery Workshop
Audit your current infra, identify compute needs, and define performance goals for AI systems.
Step 2
Design & Prototype
Set up scalable cloud architecture, CI/CD pipelines, and model deployment environments.
Step 3
Deploy & Monitor
Launch and monitor production systems, automate model lifecycle, and optimize performance continuously.
Where AI Meets Infrastructure at Scale
01
ML Ops Automation
End-to-end automation of model training, evaluation, and deployment workflows.
02
GPU-Optimized Infrastructure
Provision cloud environments with GPU scaling, autoscheduling, and multi-node training support.
03
Cloud-Native DevOps
Infrastructure-as-code setups across AWS, GCP, and Azure, purpose-built for AI services.
04
On-Prem Integration
Design hybrid systems that support sensitive or high-compliance environments alongside cloud AI services.
05
Monitoring & Observability
Set up observability tools to track AI model drift, resource usage, and prediction reliability in real time.
Here’s how it works
What Makes Us Better Than the Rest?
Optimized for AI Speed, Scale, and Reliability
