Which AI models do you use?

Whichever benchmarks best for your task across OpenAI, Anthropic, Google, Meta, Mistral and other open-weight models. Most production systems route between two or three.

Who pays for AI API usage?

You do, through your own accounts. We set budgets, routing and dashboards so it stays predictable.

Always, before the first working session.

You: code, infrastructure, prompts, model choices and documentation.

₹ / $

evals

We build AI systems
that ship.

AI-native engineering for businesses that need more than a chatbot. Strategy, agents, products and modernization, delivered to production.

Start a project

We build AI systems that ship.

AI-native engineering for businesses that need more than a chatbot. Strategy, agents, products and modernization, delivered to production.

Start a project

OpenAIAnthropicGoogle GeminiMeta LlamaMistralQwenLangGraphpgvectorNode.jsReact NativePostgresKubernetesOpenAIAnthropicGoogle GeminiMeta LlamaMistralQwenLangGraphpgvectorNode.jsReact NativePostgresKubernetes

What does Eazyware build?

Eazyware is an AI development company that designs, builds and modernizes software with AI at the core. We deliver AI agents, copilots, LLM applications, SaaS platforms and legacy modernization for SaaS and mid-market enterprises, with fixed-price programs and monthly care plans, from Bengaluru to the US and UK.

AI solutions

Our AI-native engineering removes busy work, streamlines your operations and helps your business grow, without extra effort.

AI Strategy & Discovery

Get a clear, costed roadmap on where AI drives growth for your business, then prove it on your data before you commit.

AI-Powered Product Engineering

Copilots, retrieval, prediction and personalization engineered into your product, with evals and cost control built in.

AI Agents & Automation

Design and deploy AI agents that run real workflows: tool access, guardrails, human hand-off and observability.

Enterprise Software & Modernization

Modernize the systems you can't replace and embed AI where it pays, without stopping the business.

Digital Product Engineering

Product squads that ship SaaS, super apps, web and mobile with an AI-assisted development lifecycle.

Support: care plans

Care plans that keep software and AI systems secure, current and performing after launch.

View all services

From plan to production in as little as 12 weeks. A fixed-price process takes your project from discovery through architecture, build and launch, with a sign-off at every step.

01. DISCOVER

Week 1–2

02. ARCHITECT

Week 3–4

03. BUILD

Week 5–10

04. LAUNCH

Week 11–12

Where we work.

Six verticals where the same engineering meets very different problems.

All industries

SaaS

Copilots inside your product. AI features that justify a higher tier.

Copilot Kit
LLM Apps
SaaS Build

FinTech & BFSI

High-trust AI for high-stakes money.

Private Agents
Predictive ML
Knowledge Engine

Retail & E-commerce

AI that drives sales, not just traffic.

Personalize
Support Agents
Predictive ML

Education

Personalized learning at scale.

LLM Apps
Personalize
Support Agents

Healthcare

Private, compliant AI for clinical and operational workflows.

Private Agents
Vernacular Voice
Knowledge Engine

Logistics & Field Services

Dispatch, routing and field operations with AI in the loop.

Super App
Mobile Build
ERP/CRM Build

Ecosystem

Ecosystem of partners.

We build on the platforms our clients already trust, across cloud, AI models, data, media and connectivity, and we choose per project rather than per vendor. Model-agnostic by design; partner-backed in delivery.

CloudEdge & securityAI modelsDataMediaConnectivity

Become a partner

Cloud
Cloud
Cloud
Edge & security
AI models
AI models
AI models
AI models
Data
Media
Media
Connectivity

Group partners

Latest from the blog.

The five newest articles, updated automatically when we publish. 645 articles so far.

All articles

BusinessSep 23, 2026

What a fixed-price AI quote should contain

A fixed-price AI quote should name the workflows in scope, the accuracy and latency thresholds it will be measured against, the first-year running cost, who owns the code and prompts, and an explicit exclusions list. A quote missing any of these is a number, not a commitment.

Read article