logo
RG Automata
AI Engineering StudioEst. 2026

Engineering Intelligent
AI Systems That
Scale Businesses

We build AI agents, automation systems, enterprise AI infrastructure, and scalable intelligent software for companies that refuse to operate at human speed.

Trusted Technologies & Platforms

OpenAIAnthropic ClaudeLangChainAWS BedrockAWS LambdaAmazon ECSNext.jsNode.js.NETPythonKubernetesDynamoDBPostgreSQLTerraformLangGraphRAG SystemsOpenAIAnthropic ClaudeLangChainAWS BedrockAWS LambdaAmazon ECSNext.jsNode.js.NETPythonKubernetesDynamoDBPostgreSQLTerraformLangGraphRAG Systems
What We Build

End-to-End AI Engineering Services

From autonomous agents to cloud infrastructure. We architect, build, and deploy intelligent systems that compound in value.

AI Agent Development

Built autonomous agents that reason, plan, and act across complex enterprise workflows.

Autonomous AgentsLangChainOpenAI

Enterprise AI Automation

End-to-end automation platforms that eliminate repetitive work and accelerate decision making.

Workflow AutomationRPAIntegrations

AI System Integration

Seamless embedding of AI capabilities into your existing software ecosystem.

API DesignMiddlewareEvents

Custom AI Software

Bespoke intelligent applications engineered from first principles for your unique requirements.

Full-StackNext.js.NET
AI Intelligence

Deep AI Engineering Capabilities

We go beyond API wrappers. We architect AI systems with production grade reliability, reasoning depth, and enterprise security posture.

Foundation Models

We deploy GPT-4o, Claude 3.5, and open source LLMs with custom system prompts, tool use, and fine tuning. Choosing the right model for each workload.

Agent Orchestration

LangGraph and custom orchestration layers coordinate multi agent pipelines with shared state, retry logic, and deterministic routing.

Knowledge Retrieval (RAG)

Vector store backed RAG systems with semantic chunking, re ranking, and hybrid search. Giving agents accurate & domain specific knowledge.

Production AI Infrastructure

Horizontally scalable inference on AWS ECS and EKS with model versioning, A/B testing, observability, and automated retraining pipelines.

Real Time AI Systems

Streaming LLM responses, event driven AI triggers, and sub second inference for latency sensitive enterprise applications.

Enterprise AI Governance

PII detection, output guardrails, audit logging, RBAC, and compliance aware deployment. AI you can actually trust in production.

AI Model & Platform Expertise

Hands-on production experience with every major AI provider, framework, and infrastructure platform.

MoOpenAI GPT-4o / o3MoClaude 3.5 SonnetFrLangChain / LangGraphArMulti Agent OrchestrationArRAG PipelinesPrAI CopilotsPrAutonomous AI AgentsMoLLM Fine TuningPrAI Powered AnalyticsPrConversational AIInEnterprise AI DeploymentArAI Operations AutomationInVector DatabasesArAI Workflow Automation
Technology Ecosystem

The Stack Behind Every Delivery

Carefully chosen tools and platforms.

21+

Technologies

Frontend

Pixel perfect, performant interfaces

4
React
Next.js
Angular
React Native

Backend

Scalable, reliable serve side systems

2
Node.js
.NET

Languages

The code we write every day

4
TypeScript
Python
C#
JavaScript

Cloud & Infrastructure

Enterprise AWS at every scale

11
AWS Lambda
Amazon ECS
AWS Bedrock
EC2
S3
CloudFront
API Gateway
DynamoDB
Amazon RDS
EKS
AWS Amplify

Full Technology Coverage

ReactNext.js🅰Angular📱React Native🟩Node.js💜.NET🔷TypeScript🐍Python🔵C#🟡JavaScriptAWS Lambda🐳Amazon ECS🤖AWS Bedrock💻EC2🗄S3🌐CloudFront🔌API Gateway📊DynamoDB🗃Amazon RDSEKS📡AWS AmplifyReactNext.js🅰Angular📱React Native🟩Node.js💜.NET🔷TypeScript🐍Python🔵C#🟡JavaScriptAWS Lambda🐳Amazon ECS🤖AWS Bedrock💻EC2🗄S3🌐CloudFront🔌API Gateway📊DynamoDB🗃Amazon RDSEKS📡AWS Amplify
Results

AI Systems That Delivered Impact

Real outcomes for real companies. Every case study below represents a production system running at scale today.

Logistics

AI Powered Route & Dispatch Automation

⧾34%

Route Efficiency

28%

Fuel Cost Reduction

−91%

Manual Dispatches

99.2%

On Time Delivery

Sales Tech

Autonomous AI Sales Assistant Platform

⧾68%

Lead Qualification

< 90s

Response Time

⧾42%

Pipeline Velocity

3.1𝑥

SDR Productivity

Healthcare

Clinical Workflow Intelligence Platform

−73%

Documentation Time

12𝑥 faster

Intake Processing

97.4%

Coding Accuracy

18k/mo

Clinician Hours Saved

MVP Development

From AI Idea to Launch in Weeks

We've helped startups and enterprise innovation labs ship production grade AI MVPs that attract investment, validate markets, and onboard real users quickly.

Idea Validation

We challenge assumptions and validate AI feasibility before writing a line of code.

Rapid Build

Agile sprints produce working AI software every 2-weeks, Visible progress, not promises.

Launch Ready

Production hardened code with proper error handling, monitoring, and rollback capability.

Scale Path

Architecture choices that support 10x growth without rearchitecting from scratch.

Explore MVP Services
Typical delivery: 8–14 weeks

AI MVP Package

Everything included

AI product strategy & scoping
Technical architecture design
Full-stack AI application build
LLM / agent integration
AWS cloud deployment
Investor demo preparation
Post-launch iteration support
Engineering documentation

8–14

Weeks avg.

20⧾

MVPs shipped

4.3★

Client rating

Cloud & AI Infrastructure

Enterprise Grade AWS
AI Infrastructure

Every AI system we build runs on hardened, cost optimized, AWS infrastructure designed for the scale, security, and compliance requirements of enterprise organizations.

AWS Services We Deploy

AWS Lambda
🐳Amazon ECS
🤖AWS Bedrock
💻EC2
🗄S3
🌐CloudFront
🔌API Gateway
📊DynamoDB
🗃Amazon RDS
EKS
📡AWS Amplify

Auto Scaling Inference

AI endpoints scale from 0 to millions of requests per second using EKS + KEDA, with zero cold start penalties.

Enterprise Security

VPC isolation, KMS encryption, IAM least privilege, WAF and GuardDuty. A security posture that passes enterprise SOC 2 reviews.

Global CDN & Edge

CloudFront distribution with edge caching for AI responses, reducing latency for global user bases.

Managed AI Datastores

RDS, DynamoDB, and vector databases (pgvector, OpenSearch) provisioned with automated backups and point in time recovery.

Infrastructure as Code

All infrastructure provisioned via Terraform. Fully reproducible, version controlled, and audit ready environments with automated CI/CD pipelines.

How We Work

A Delivery Process Built for Enterprise Confidence

Six phases from discovery to live production. Full transparency, predictable milestones, and documented handoffs at every stage.

01
1
Week 1–2

Discovery & Architecture

Deep stakeholder workshops, existing system audits, and problem framing. We define success metrics, map AI opportunity spaces, and design a scalable technical architecture before writing a single line of code.

Architecture blueprint
AI feasibility analysis
Sprint roadmap
02
2
Week 2–3

Design & Prototype

High fidelity UI/UX design, agent topology design, and interactive prototypes. Stakeholders see the product before engineering begins aligning vision and reducing rework.

UI prototypes
Agent flow diagrams
Tech stack finalization
03
3
Week 3–10⧾

Agile Engineering

Iterative 2-week sprints with daily standups, weekly demos, and continuous integration. You maintain full visibility into progress through a shared project portal and weekly written reports.

Sprint demos
Working software
Weekly reports
04
4
Week 10–12

QA & Security Review

Comprehensive testing: unit, integration, load, and adversarial AI testing. Security audit, data privacy review, and enterprise compliance checks before any production deployment.

Test reports
Security audit
Performance benchmarks
05
5
Week 12–13

Deployment & Launch

Zero downtime blue green deployments on AWS. Infrastructure as code with Terraform, automated rollback capabilities, and full observability stack with CloudWatch and custom dashboards.

Production deployment
IaC scripts
Monitoring setup
06
6
Ongoing

Ongoing Support & Evolution

Post launch model monitoring, continuous fine tuning, and feature iteration. We treat every deployment as version 1.0. The beginning of an ongoing engineering partnership.

SLA support
Model retraining
Feature roadmap
Client Stories

What Our Clients Say

"RG Automata didn't just build us an AI product. They architected an entirely new way of operating. Our operations team now handles 3× the volume with the same headcount."

GP

Girish Patel

VP of Operations, Jay Industries

Let's Build Together

Your next AI system
starts with a conversation.

Whether you're validating an AI idea or scaling an enterprise platform, we're the engineering partner that turns your vision into production grade reality.