Generative AI Development Company in Pune
Put large language models to work on your business. We build secure generative AI applications — knowledge assistants, copilots, content and document tools — grounded in your own data and integrated into your workflows.
58+ projects delivered · 45+ happy clients · 4.9/5 client rating · Startup India recognised
Generative AI That Knows Your Business
Generative AI models such as OpenAI GPT, Google Gemini, Anthropic Claude and open-source LLMs like Llama and Mistral can write, summarise, answer questions and reason over information. On their own, though, they don't know your products, policies or customers — and they can make things up.
Codiastic Soft is a generative AI development company in Pune that solves this with retrieval-augmented generation (RAG), careful prompt engineering, evaluation and guardrails. We connect LLMs securely to your documents, databases and applications so answers are accurate, sourced and safe to use in real business processes.
We start with a short discovery and a proof of concept on your data, measure quality against real questions, and then deploy production solutions with access control, monitoring and cost optimisation — on the cloud provider or private infrastructure you prefer.
What We Offer
Generative AI Solutions We Build
RAG Knowledge Assistants
Ask questions across SOPs, manuals, contracts and policies with cited answers.
AI Copilots for Teams
Assistants inside your CRM, ERP or internal tools for sales, support and ops.
Document Intelligence
Extract, classify and summarise invoices, contracts, reports and forms.
AI Content Generation
On-brand product descriptions, emails, reports and marketing content at scale.
LLM Fine-Tuning & Evaluation
Model selection, fine-tuning, prompt optimisation and quality benchmarks.
Private & Open-Source LLMs
Self-hosted Llama or Mistral deployments for sensitive data.
Why Codiastic Soft
Why Choose Us for Generative AI
Accuracy First
RAG, evaluation suites and guardrails to minimise wrong answers.
Model-Agnostic
GPT, Gemini, Claude or open-source — we pick what fits your needs and budget.
Secure Deployment
Private hosting options, encryption and role-based access.
Fast Proof of Concept
See results on your own data in 2–4 weeks.
Cost & Timeline
Generative AI Development Cost in Pune
| Project type | Typical budget | Timeline |
|---|---|---|
| Proof of concept on your data | ₹75,000 – ₹2,00,000 | 2–4 weeks |
| Production RAG assistant / copilot | ₹3,00,000 – ₹8,00,000 | 6–10 weeks |
| Enterprise GenAI platform | ₹8,00,000+ | 3–6 months |
LLM usage is billed by the model provider based on volume; we estimate and optimise running costs upfront.
How We Work
Our Development Process
- 1
Free Discovery Call
We understand your goals, users, budget and timeline, then recommend the right approach and technology.
- 2
Proposal & Fixed Scope
You receive a clear scope, milestone plan, timeline and cost estimate before any work begins.
- 3
UI/UX Design
Wireframes and clickable prototypes so you can see and approve the product before development.
- 4
Agile Development
Two-week sprints with weekly demos, a shared project board and direct access to your developers.
- 5
Testing & Launch
Functional, performance and security testing, then deployment to production or the app stores.
- 6
Support & Growth
Post-launch monitoring, bug fixes, updates and new features through flexible support plans.
Technology
Technologies We Use
- OpenAI GPT
- Google Gemini
- Anthropic Claude
- Llama
- Mistral
- LangChain
- LlamaIndex
- Pinecone
- pgvector
- Qdrant
- Python
- AWS Bedrock
- Azure OpenAI
FAQ
Frequently Asked Questions
What is generative AI development?
Generative AI development is building software that uses large language models and other generative models to create text, answers, summaries, images or code — and connecting them to a business's data and workflows so they deliver reliable results.
What is RAG and why does it matter?
Retrieval-augmented generation (RAG) finds the most relevant information from your own documents and gives it to the AI model before it answers. This makes answers accurate, up to date and traceable to sources, instead of relying on the model's general knowledge.
Which LLM should my business use?
It depends on accuracy, speed, cost, language and data-privacy needs. We benchmark options such as GPT, Gemini, Claude and open-source models on your use case and recommend the best fit.
Can generative AI run on our own servers?
Yes. For sensitive data we can deploy open-source models such as Llama or Mistral on your private cloud or on-premise infrastructure.