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Pune AI Development

AI Development Company in Pune

We help Pune businesses turn useful AI opportunities into reliable applications for support, search, automation, prediction, and better decisions.

AI for a defined business workflow

We begin with a measurable problem such as document handling, internal knowledge search, customer support, lead qualification, or operational reporting.

Grounded and connected

AI agents, LLM applications, RAG systems, and API integrations are connected to approved information and existing tools rather than treated as isolated experiments.

Responsible production delivery

Privacy boundaries, access control, evaluation, monitoring, human review, and fallback paths help teams introduce AI with confidence.

What we can help you build

AI agents and AI automation
LLM and RAG applications
AI-powered dashboards and copilots
Python, Node.js, OpenAI, PostgreSQL, and AWS
AI MVP discovery and production deployment

Next step

Have a project in mind?

Tell us what you are trying to improve, launch, or automate. We will help you identify a practical first step.

Start a conversation →

What we build

01

AI SaaS Platforms

Multi-tenant products with workspaces, permissions, usage tracking, and subscription-ready foundations.

02

AI Agents

Task-focused agents that can retrieve information, call tools, and escalate uncertain work to people.

03

LLM Applications

Interfaces that make language models useful inside a specific business workflow.

04

RAG Applications

Grounded search and response systems connected to approved company knowledge.

05

AI Automation

Document, support, sales, and operations workflows that reduce repetitive work.

06

AI-Powered Dashboards

Decision interfaces that combine business data, explanations, alerts, and next actions.

07

AI Copilots

Context-aware assistance embedded where teams already work.

08

API Integrations

Secure connections between models, SaaS products, CRMs, databases, and internal tools.

09

SaaS MVP Development

A focused first release that tests value before the product grows in complexity.

10

Cloud Deployment

Observable, secure deployment workflows prepared for real users and ongoing iteration.

Our technology

ReactNext.jsNode.jsPythonOpenAIRAGPostgreSQLRedisAWSDocker

Our process

Product Discovery

Define the user, workflow, problem, and measurable AI outcome.

Data and AI Design

Choose models, retrieval, tools, evaluations, privacy boundaries, and fallback paths.

Product UX

Design onboarding, prompts, feedback, permissions, and human review into the experience.

Build and Integrate

Connect the application to APIs, knowledge, billing, analytics, and existing systems.

Evaluate and Test

Check quality, latency, security, edge cases, and cost with representative use cases.

Deploy and Improve

Monitor usage and errors, learn from feedback, and expand responsibly.

Frequently asked questions

What is the difference between an AI demo and an AI SaaS product?

A product adds onboarding, permissions, data boundaries, billing or usage controls, monitoring, feedback, and a complete workflow around the model.

Can you connect AI to our private company data?

Yes. We can design retrieval and access boundaries so responses use approved information without treating every user as having the same access.

Can you start with an MVP?

Yes. We recommend a narrow first workflow that proves user value and gives the team evidence before broader automation.

Ready when you are

Let's discuss a useful first release.

Email info@celsystech.com or call +91 9922023081 to discuss your goals, timeline, and next step.

Start a Project →