AI & machine learning development — practical AI that ships, not slide decks
Pune team building RAG systems, AI assistants and ML pipelines — including NotesAI (self-hosted RAG) and DevJarvis. You own the models, data and infrastructure.
- Free quote 24h
- RAG & LLM integration
- self-hosted or cloud — your data stays yours
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Trusted by teams across India
DropEat · Breezy Mart · Daktrbaboo · Growweb Development · Frugal Innovations
AI solutions for real business workflows
Self-hosted or cloud RAG over your docs, wikis and databases — with citations, access control and audit trails.
Customer support, internal helpdesks and sales assistants grounded in your data — not generic ChatGPT wrappers.
Extract, classify and route invoices, contracts, forms and medical records — with human-in-the-loop review.
Demand forecasting, churn prediction, anomaly detection and scoring models trained on your operational data.
Quality inspection, object detection, OCR on images and video analytics for manufacturing, retail and logistics.
Custom-tuned models and multi-step agents that call APIs, query databases and execute workflows autonomously.
Off-the-shelf AI tools vs custom AI development
You need generic chat, your data can live on a vendor's cloud, workflows are standard and you don't need deep integration, custom guardrails or to own the pipeline.
You need RAG over private docs, self-hosted deployment, fine-tuned models, agent workflows, ERP/CRM integration, compliance controls or you want to own the stack instead of paying per-seat forever.
A simple, transparent process
A free call to understand your use case, data sources and success metrics.
Architecture outline, data assessment and honest cost range within 24 hours.
Prompt design, RAG pipeline and integration plan agreed before build starts.
Reviewable progress weekly — with evaluation metrics, not just demos.
Deployment, guardrails, monitoring and team handover — self-hosted or cloud.
Prompt tuning, model updates and new features as usage grows.
Rated 4.9/5 by the teams we build for
“Bestest work provided by TechLapse and team. A genuinely good company for automation services.”
Growweb DevelopmentAutomation project“We built a complete food delivery app with TechLapse. Good resources, timely work and solid support throughout.”
DropEatFood delivery app“We developed a custom laundry service app — best UI/UX and a smooth-performing app. TechLapse is the best in this field.”
Breezy Mart LLPLaundry service app
Why TechLapse for AI & ML
We ship real AI products. NotesAI — our self-hosted RAG platform — ingests documents, builds vector indexes and answers from your private knowledge base. DevJarvis is our AI development assistant built in production, not a demo.
Privacy-first architecture. Self-hosted pgvector, on-prem deployment or cloud with strict access controls — chosen per project, not one-size-fits-all.
Full-stack AI engineering. Python, LangChain, Rust backends, PostgreSQL and cloud GPU — not just prompt engineering in a notebook.
You own everything. Models, embeddings, source code and IP are yours — no vendor lock-in, no per-seat trap.
Why work with TechLapse? Download our overview (PDF) See more of our work →Ready to scope your AI solution?
Get a free, no-obligation quote with timelines and a clear cost range within 24 hours.
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How much does AI and machine learning development cost in India?
Cost depends on use case, data readiness, model complexity and integration depth. A focused RAG chatbot or document pipeline MVP typically runs a few weeks; multi-model platforms with fine-tuning and agents take longer and are phased. Share your requirement and we'll give you a clear cost range within 24 hours.
How long does it take to build an AI or ML solution?
A proof-of-concept or RAG assistant can ship in a few weeks with a dedicated team. Full production systems with evaluation, guardrails and integrations usually take one to three months. We deliver in sprints so you test real AI features early instead of waiting for one big launch.
What is RAG and when do I need it?
RAG (Retrieval-Augmented Generation) connects an LLM to your private documents, databases or knowledge base so answers cite your data instead of guessing. You need RAG when staff or customers must query internal policies, manuals, tickets or product docs accurately — without training a model from scratch.
Will my data stay private if I use AI?
Yes — when architected correctly. We offer self-hosted setups (like our NotesAI platform) where documents and embeddings never leave your infrastructure, plus cloud options with strict access controls. We can sign an NDA before you share anything sensitive.
Can you integrate AI into our existing software?
Yes. We build AI as APIs, microservices or embedded modules — connecting to your CRM, ERP, web app, mobile app or internal tools via REST, webhooks or message queues.
Do I need a large dataset to use machine learning?
Not always. Many projects start with pre-trained models, transfer learning or LLM APIs. For custom ML (forecasting, classification, vision), we assess your data during discovery and advise whether you have enough — or how to collect and label more.
Self-hosted vs cloud AI — which should I choose?
Self-hosted (NotesAI-style) keeps data on your servers — ideal for regulated industries and strict privacy. Cloud APIs (OpenAI, Claude) ship faster and scale easily when data can leave your boundary with proper controls. We recommend based on compliance, budget and latency — not vendor preference.
Who owns the models, code and intellectual property?
You do. Source code, fine-tuned weights, embeddings and IP belong to you. No lock-in to our stack — we hand over repos, configs and deployment docs.
Do you provide support after launch?
Yes. We offer monitoring, prompt tuning, model updates, security patches and new feature development as your usage and requirements grow.
Let's build your AI solution
Free consultation, honest advice, and a clear quote in 24 hours — with no obligation.
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