Orivian Labs

Orivian Labs — Product Engineering

Beyond the prototype.

We design products, engineer them, add intelligence, deploy them to the cloud — and keep them running. One six-person team owns the whole path, so nothing stops at a demo.

  1. Idea
  2. Design
  3. Build
  4. AI / ML
  5. Deploy
  6. Run
Product DesignFull-StackAI / MLCloudDevOpsMLOpsSaaSProduct DesignFull-StackAI / MLCloudDevOpsMLOpsSaaS

Featured Work

Products we've engineered and shipped

Services

Full product lifecycle, under one roof

Product Engineering

End-to-end engineering of software products, from architecture to production.

  • SaaS
  • Enterprise applications
  • ERP
  • Dashboards
  • Business platforms
  • Custom software

UI/UX & Product Design

Design systems and interfaces that make products intuitive and premium.

  • Product strategy
  • UX research
  • Wireframes
  • Design systems
  • Web design
  • Mobile design

AI & Machine Learning

Applied AI that ships: from prototypes to monitored production systems.

  • LLM applications
  • RAG
  • AI agents
  • Computer vision
  • Predictive analytics
  • ML deployment

Full-Stack Development

Modern web applications built on a typed, tested and scalable stack.

  • React
  • Next.js
  • TypeScript
  • Python
  • FastAPI
  • REST APIs
  • PostgreSQL

Cloud & DevOps

Infrastructure as code, automated pipelines and reliable cloud operations.

  • AWS
  • Terraform
  • Docker
  • Kubernetes
  • CI/CD
  • Infrastructure
  • Observability

MLOps & Automation

Production ML: pipelines, deployment and monitoring that keep models useful.

  • Model deployment
  • ML pipelines
  • Cloud automation
  • CI/CD
  • Monitoring
  • Production ML

Our Team

Six disciplines. One engineering team.

Design, engineering, AI and infrastructure — the people who build your product are the people you talk to.

Aajerabanu

DevOps Engineer

Building and maintaining cloud infrastructure and deployment pipelines.

AWSDockerCI/CDLinuxCloud Infrastructure

Arun

AI / Machine Learning Engineer

Building intelligent systems using machine learning, AI and data-driven technologies.

PythonMachine LearningData ScienceAIComputer Vision

Chandru

UI/UX & Product Designer

Designing intuitive digital products, interfaces and user experiences.

UI/UXFigmaProduct DesignDesign SystemsPrototyping

Dhayanidhi

AI Engineer

Building production AI systems, LLM applications and RAG pipelines.

LLMRAGLangChainPythonFastAPIComputer Vision

Kerthik

Cloud & DevOps Engineer

Designing cloud infrastructure, deployment pipelines and production systems.

AWSTerraformDockerKubernetesCI/CDObservability

Vasanth

DevOps / Cloud / MLOps Engineer

Building automated cloud infrastructure and production deployment systems.

AWSTerraformDockerJenkinsGitHub ActionsMLOps

How We Work

From idea to production, in six steps

01

Discover

We understand your domain, users, constraints and goals before writing a line of code.

02

Design

Product flows, wireframes and design systems that make the product intuitive.

03

Build

Typed, tested full-stack engineering with fast feedback loops.

04

Integrate

APIs, data migrations, third-party services and AI capabilities wired in.

05

Deploy

Automated CI/CD pipelines push to cloud infrastructure safely.

06

Scale

Observability, optimization and iteration as your product grows.

Start a project

Let's put it in production.

Design, engineering, AI, cloud — one team takes your product from first sketch to running system.

Start a project