AI Development Services

AI Development Services Built for Production, Not Demos

KriraAI designs, builds and supports AI systems for enterprises and growing businesses, from the first strategy workshop to models running in production. Every engagement is shaped by our in-house AI research team, so the architecture we recommend reflects what works today. Explore our services below, or tell us the problem you want solved.

AI and Software Delivery
Since 2022
Projects Delivered
100+
AI Research Team
In-House
Clients Across India, the USA and Beyond
Global

Our AI Services

Six practice areas covering every stage of AI adoption, from strategy to production support.

How We Work With You

Fixed-Scope Pilot

A time-boxed proof of value with agreed success metrics, ideal for testing one use case first.

Dedicated AI Team

Engineers, data scientists and a project lead working as an extension of your team.

Ongoing Support & Optimization

Monitoring, retraining and feature updates that keep your AI improving after launch.

Our AI Delivery Process

Team mapping business workflows and data during AI discovery

Discovery & AI Readiness

We map workflows, data and constraints, then deliver a prioritised use case list.
Designing an AI solution architecture with models and integrations

Solution Architecture

We select models, tools and integrations, and share an architecture plan with cost estimates.
Developer building and training an AI model

Development & Training

We build and train on your real data, testing against business KPIs every sprint.
Engineer deploying an AI system into a production stack

Integration & Deployment

We deploy into your stack with access controls, guardrails and full documentation.
Monitoring AI model accuracy and cost after launch

Monitoring & Optimization

We track drift, accuracy and cost, and schedule improvements after launch.

Why Enterprises Choose KriraAI for AI Services?

Production-First Engineering

We design for scale, security and monitoring from day one, so pilots do not stall later.

In-House AI Research Team

Our researchers test new models, agent frameworks and RAG techniques before we recommend them.

Transparent, Scope-Based Pricing

You get a clear quote after discovery and pay only for the scope your business needs.

Delivery Across Time Zones

Time-zone-aligned communication and a dedicated account manager for every engagement.

Production-First Engineering

We design for scale, security and monitoring from day one, so pilots do not stall later.

Ready to Scope Your AI Project?

Tell us the workflow you want to improve, and we will map the right service and budget with you. The first strategy call is free, with no obligation. You will leave with a clear view of what AI can realistically deliver.

AI Development Services

FAQs

It depends on how clearly the problem is defined. If you are still exploring, start with an AI Readiness Assessment. If the use case is clear, we move straight to development.

Consulting decides what to build and why. Development builds, deploys and maintains the system. You can engage either one alone or both in sequence.

Cost depends on scope, data readiness and integration depth. A simple chatbot can start at a few thousand dollars, while enterprise agent systems can reach six figures. We share a scope-based quote after discovery.

Most projects take 4 to 16 weeks from discovery to deployment. Pilots are faster because they focus on one use case. Optimization continues after launch.

Yes. We connect AI to your CRM, ERP, helpdesk and databases through APIs. In most cases you keep the systems you already run.

Yes. We start with a code, data and model audit. We then stabilise the system and improve it, or plan a rebuild where that costs less.

We offer monitoring, drift detection, retraining and feature updates. Support scales from light maintenance to a dedicated team. This keeps accuracy stable as your data changes.

Yes. We serve startups and enterprises in the USA and other global markets through remote delivery. Every engagement has time-zone-aligned communication and a dedicated account manager.

Only the team building your system can access your data. Every deployment includes access controls and guardrails from day one. Models can also run inside your own cloud environment.

We use PyTorch and Hugging Face for models, and LangGraph and CrewAI for agents. Deployments run on AWS, Google Cloud or Azure. The final stack depends on your use case.