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Intelligent systems embedded directly into your product. LLM pipelines, RAG architectures, vector search, and custom model fine-tuning.
We map requirements, constraints, success metrics, and the commercial outcome the software has to create.
We shape product flows, visual systems, data models, and technical architecture before heavy engineering begins.
Senior engineers build in focused sprints with frequent demos, clean handoffs, and deployable increments.
We validate performance, responsive behavior, edge cases, integrations, and release readiness.
We ship with monitoring, deployment confidence, documentation, and a clear plan for the next iteration.
Timeline
6–12 weeks depending on model complexity and data availability
Pricing
Scoped per project — fixed price agreed after discovery
Do we need to provide training data?
Depends on the use case. For RAG and LLM integration, your existing documents often suffice. For fine-tuning, we'll advise on data requirements upfront.
Can AI be added to our existing product?
Yes. Most of our AI work is embedded into existing products via API layers — we don't require a full rebuild.
Is Nemnidhi an AI development company in Indore?
Yes — we're an AI development company based in Indore, India, building LLM and RAG systems for clients across the country.
Tell us what you're building. We respond within 24 hours.
