Our product · Healthcare
Carova Health Connect
Our own healthcare platform: a patient app, Carova Doctor, Carova Lab and the console our team uses to verify providers and settle payouts.
Read the case studyAI 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
React
Next.js
Angular
React Native
Backend
Scalable, reliable serve side systems
Node.js
.NET
Languages
The code we write every day
TypeScript
Python
C#
JavaScript
Cloud & Infrastructure
Enterprise AWS at every scale
AWS Lambda
Amazon ECS
AWS Bedrock
EC2
S3
CloudFront
API Gateway
DynamoDB
Amazon RDS
EKS
AWS Amplify
Full Technology Coverage
⚛React▲Next.js🅰Angular📱React Native🟩Node.js💜.NET🔷TypeScript🐍Python🔵C#🟡JavaScript⚡AWS Lambda🐳Amazon ECS🤖AWS Bedrock💻EC2🗄S3🌐CloudFront🔌API Gateway📊DynamoDB🗃Amazon RDS☸EKS📡AWS Amplify⚛React▲Next.js🅰Angular📱React Native🟩Node.js💜.NET🔷TypeScript🐍Python🔵C#🟡JavaScript⚡AWS Lambda🐳Amazon ECS🤖AWS Bedrock💻EC2🗄S3🌐CloudFront🔌API Gateway📊DynamoDB🗃Amazon RDS☸EKS📡AWS Amplify
Selected work
Real products, shown screen by screen.
A healthcare platform we built as our own product, and a commerce and operations system for a manufacturer. Both include the apps customers use and the tools the team runs them with.
Storefront
Admin
Client project · Manufacturing and commerce
Rinkal Fragrance
Retail orders, bulk quotations and private-label production for a Rajkot incense maker, run from one website and one admin.
Read the case studyMVP 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 InfrastructureEnterprise Grade AWS
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 1–2Discovery & 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 2–3Design & 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 10–12QA & 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 12–13Deployment & 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
OngoingOngoing 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."
GPGirish Patel
VP of Operations, Jay Industries
Let's Build TogetherYour next AI system
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.