Udaipur · Rajasthan · India

AI development company in Udaipur

Deepak Kumar Tiwari designs and builds production AI systems from Udaipur — retrieval-augmented generation, AI agents, document intelligence, and private local models — for businesses that need a useful result rather than a convincing demo.

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Overview

AI tied to a decision someone is accountable for

Most AI projects fail between the demo and daily use. The model answers well in a meeting, then quietly invents a fact, ignores a permission, or costs more per request than the work it replaces. The fix is not a better prompt alone: it is retrieval the organisation trusts, tool boundaries the system cannot cross, an evaluation set built from real cases, and a place for a person to stay accountable.

Delivery has included document intelligence over unstructured business files, multi-model orchestration, and local SLM and LLM adaptation using LoRA, MLX, Unsloth, and Llama.cpp for privacy- and cost-sensitive workloads.

For businesses in Udaipur this usually starts small: one high-volume, document-heavy or knowledge-heavy workflow, measured against its current baseline. If an honest assessment says AI is not the right answer, that is a useful outcome too.

Capabilities

What we build

Applied AI capabilities that connect to real operations.

AI engineering

AI Systems, RAG & Agents

Production AI systems that connect trusted knowledge, tools, evaluation, and human decisions instead of stopping at a convincing demo.

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AI engineering

Local AI & Model Adaptation

Private, resource-aware AI using smaller models, fine-tuning, quantization, and local inference designed around real hardware constraints.

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Growth engineering

Social Media AI Automation

Human-approved systems for content planning, generation, publishing, community signals, lead routing, analytics, and reporting.

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Growth engineering

AI Advertising & AdTech

AI-assisted creative, campaign operations, platform integrations, attribution, and custom AdTech systems with brand and budget controls.

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Who it is for

Teams this engagement fits

Questions

Before you get in touch

What AI projects make sense for a business in Udaipur?

Usually a high-volume, repetitive workflow where knowledge is scattered across documents or systems: enquiries and quotations, reporting, claims or intake processing, internal knowledge search, or content operations. The test is whether a faster, more consistent answer changes a real decision.

Can AI run privately without sending data to a third party?

Yes. For privacy, latency, or cost-sensitive work, smaller models can run on local or private infrastructure, with feasibility and benchmarking to establish the quality and hardware actually required.

How do you prevent an AI system from making things up?

Retrieval restricted to trusted sources, citations back to evidence, tool boundaries the model cannot exceed, an evaluation set built from real cases, and human review wherever a wrong answer carries real cost.

Where does an AI engagement start?

With one workflow and a measurable baseline. Scope is written after assessing the evidence available, the required quality bar, and the operational constraints.

Next step

Test one AI workflow

Bring the workflow that consumes the most time or produces the most inconsistency. You get a straight assessment of whether AI helps, and what it would take to make it dependable.

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