AI systems, built to run in production

AI that survives contact with real users.

Cogniroll takes AI projects from prototype to production: retrieval systems, agentic workflows, and the cloud infrastructure that keeps them fast, observable, and affordable at scale.

3 apps
Live in production, run by us
100% IaC
Infrastructure defined in code
AWS-native
Serverless-first architecture

Where AI projects actually break — and what we do about it.

Most AI work fails after the demo: retrieval quality drifts, costs spiral, nothing is observable, and no one can say why the model did what it did. We engineer for the part that comes after.

AI and LLM engineering

Retrieval systems, tool-using agents, and model-backed features designed with evaluation and guardrails from day one.

  • RAG pipelines with measured retrieval quality
  • Agent workflows with bounded, audited tool access
  • Prompt and model evaluation harnesses
  • Token cost and latency budgeting

Cloud and platform engineering

AWS architecture that scales on demand and bills by use, defined in code and deployed through CI from the first commit.

  • Lambda, API Gateway, DynamoDB, S3
  • CDK and Terraform
  • GitHub Actions pipelines
  • Cost and architecture reviews

Product engineering

The apps around the model. React Native and Next.js products built type-safe end to end and shipped to the stores.

  • React Native and Expo
  • Next.js and TypeScript
  • Payments, auth, notifications
  • App Store and Play Store releases

Governance and observability

Every model call logged, traced, and attributable, so compliance questions have answers and regressions surface before users find them.

  • Tracing across prompts, tools, and responses
  • Policy boundaries on agent actions
  • Quality and drift monitoring
  • Audit-ready decision logs

How an engagement runs.

Four stages, each ending in something you can inspect — not a status deck.

Stage one

Scope and feasibility

We pressure-test the use case against data, cost, and latency limits, and tell you early if a model is the wrong tool.

Stage two

Working prototype

A narrow slice running on real data with an evaluation set, so quality is a number rather than an impression.

Stage three

Production hardening

Infrastructure as code, CI/CD, tracing, rate limits, fallbacks, and cost controls before a single user sees it.

Stage four

Operate and improve

We monitor quality and spend in production and iterate, or hand over a system your team can run without us.

What we've shipped. Running in production.

Client engagements and our own products — each one live and in daily use.

All case studies

Built by us. Live today.

A closer look at what we've shipped — for clients, and for ourselves.

Flagship product, live

AmmaBhojanam

A home-cooked food marketplace connecting home chefs with customers across India. Three React Native apps, a fully serverless AWS backend, real-time delivery tracking, and payments — built and operated end to end by Cogniroll.

React NativeAWS LambdaDynamoDBRazorpayReal-time trackingWhatsApp OTP
Live in production

Kishore Tours & Travels (Kishorebus)

A passenger booking site and operator portal for the Tadipatri ↔ Bangalore route — schedules, seat maps, tour packages and rent-a-bus enquiries, all configured by the operator.

Next.js 15React 19TypeScriptTailwind CSSPostgreSQLPrismaAWS Amplify
kishorebus.com
Live in production

Technohub Trainings

A static marketing website for a Bengaluru-based, AICTE-affiliated software training and certification institute — course catalog, live-project format, and job-assistance track record, all in one fast site.

HTML5CSS3JavaScriptResponsive design
www.technohubtrainings.in/html-folder/home
In development

Build automation tooling

DevOps utilities for mobile teams: EAS builds, code-signing rotation, and store submissions, automated.

In development

AI website builder

Turns a written brief into production-ready sites, with the generated code reviewed against real build checks.

In development

Agent orchestration layer

A control layer for multi-step agent workflows with bounded tool access and full execution traces.

Tell us what you're trying to build.

A new AI product, a prototype that needs to reach production, or cloud infrastructure that has outgrown its design — send us the shape of the problem and we'll tell you how we'd approach it.

admin@cogniroll.com

We reply within one to two business days.