Custom AI Development
LLM integration, RAG pipelines, agentic workflows, and production ML, built for your product, not a generic demo.
- Timeline
- PoC in 2-4 weeks. Production MVP in 6-12 weeks after discovery.
- Engagement
- Custom quote after a free discovery call. Fixed-scope MVP or monthly retainer.
- Delivery
- Remote across India and overlap-friendly hours for US and EU teams.
What you get
- Discovery workshop covering data, metrics, and compliance
- Working prototype on your data, not sample datasets
- Production RAG, agents, or model integration with evaluation
- Admin tooling, prompt and retrieval documentation
- Monitoring for accuracy, cost, and drift
- Handoff so your team can operate the system
How we deliver
- 01
Discovery
1-2 weeks to map data sources, success metrics, and constraints.
- 02
Prototype
2-4 weeks for a thin vertical slice with real documents or APIs.
- 03
Production
4-12 weeks to harden infra, admin tools, evaluation, and observability.
Built for
- Product teams that need grounded assistants in production
- Startups preparing investor or customer demos with real data
- Ops and support teams automating multi-step workflows
Not a fit when
- Pure academic research with no product owner
- Projects with no accessible data or APIs
- One-off chatbot widgets with no evaluation plan
Custom AI Development Services
Production AI Features
Agentic Academy Labs builds custom AI in India for teams that need shipped features: LLM assistants, RAG systems, agentic workflows, computer vision, and predictive models wired into the product. Proofs of concept typically take two to four weeks. Production builds take four to twelve weeks after discovery.
We work with OpenAI, Anthropic, LangChain, Hugging Face, TensorFlow, and PyTorch. Model and infra choices follow latency budget, data privacy, and total cost of ownership, not a brand preference. Keys stay on the server. Tenant filters go on retrieval before the first demo.
What we build
Document- and database-grounded conversational AI. Multi-step workflows for sales ops, support triage, and reporting. Classifiers and extractors when you have labeled examples. Computer vision for inspection and document parsing. Monitoring for token cost, latency, and faithfulness.
We write evaluation questions before we scale traffic. Prompts, retrieval, and fallbacks are documented so your team can operate the system after handoff. Compare approaches in RAG vs fine-tuning for startups.
How an engagement runs
Discovery (1-2 weeks): map data, metrics, and compliance. Prototype (2-4 weeks): a thin vertical slice on real documents. Production (4-12 weeks): auth, admin, observability, and a rollback plan. Ranges are in Custom AI MVP cost and timeline India.
A Bangalore fintech RAG assistant we shipped in six weeks is written up as a case study. Schedule a discovery call to start.
Frequently asked questions
LLM integration, RAG assistants, agentic workflows, computer vision, predictive models, and MLOps. We scope to your data, compliance needs, and product goals from discovery through production monitoring.