Full-Stack AI.
Your Architecture.
Intelligence embedded in operations — not bolted on top.
We build AI systems where intelligence is woven into every layer of your operations. On-premise LLM deployment, RAG pipeline architecture, MCP integration, model fine-tuning. One partner — from hardware specification to production maintenance.
Five Phases. One Outcome.
Every engagement follows the same architecture-first methodology — no shortcuts, no black boxes.
Map workflows, data sources, integration points & GPU requirements
Design system topology — LLM selection, RAG pipeline, MCP integrations
Develop application with on-premise deployment, fine-tuned models & pipelines
Production deployment on your infrastructure with monitoring & alerting
Ongoing model updates, pipeline tuning, performance optimisation
Six Core Capabilities
Each capability can stand alone or combine into a full AI-native application stack.
On-Premise LLM Deployment
Deploy open-weight LLMs (Qwen3, Gemma-4, DeepSeek) on your GPU infrastructure using vLLM for production-grade inference. Zero data leaves your network.
RAG Pipeline Architecture
Document ingestion, chunking, embedding, and retrieval pipelines built for your data. Cited sources, zero hallucination policy, verifiable outputs grounded in your documents.
MCP Integration
Model Context Protocol connects your AI application to databases, APIs, and internal tools. Your AI queries systems, updates records, and triggers workflows natively.
Model Fine-Tuning
Fine-tune base models on your domain data for higher accuracy and lower latency. LoRA, QLoRA, and full fine-tuning depending on your GPU capacity and accuracy requirements.
AI-Native Application Development
Full-stack applications where AI is the core architecture — not a bolt-on. Intelligent workflows, adaptive interfaces, and decision logic built around LLM capabilities from day one.
GPU Infrastructure Design
We specify GPU servers, networking, cooling, and deployment architecture. From NVIDIA GPU selection to rack design — the hardware foundation your AI runs on.
Retrofit, No Rewrite
Switch an AI layer on over your existing systems — the moment it activates, current data and workflows become conversational, grounded, and automated, with no rewrite and no migration.
Production Serving Stack
vLLM for high-throughput inference, Qdrant for vector search, and LangGraph + MCP for stateful agent orchestration — open, self-hosted, and replaceable at every layer.
Fail-Closed Compliance
Compliance enforced in code, not policy: no cloud egress, fail-closed by default, with a tamper-evident audit trail — deployable in DPDP / HIPAA / RBI-regulated environments.
Need Custom? That's a Service. Need Ready-to-Deploy? Pick a Product.
Both run on your infrastructure. Both include ongoing maintenance.
- ◆Custom AI-native application designed for your workflows
- ◆On-premise LLM deployment with model fine-tuning
- ◆RAG pipeline architecture with your document corpus
- ◆MCP integration with your existing systems and databases
- ◆8–12 week engagement with ongoing maintenance
- ◆Full source code ownership — zero vendor lock-in
- ◆Pre-built AI-native capabilities from the BiltIQ product suite
- ◆Deploy in days, not quarters — configuration over customisation
- ◆Fixed cost with unlimited usage. No per-query fees
- ◆Immediate ROI from day one of deployment
- ◆Ongoing updates and maintenance included
Built on Proven, Open Infrastructure
AI-Native Applications for Your Sector's Requirements.
Same architecture-first methodology. Compliance and regulatory alignment built into each deployment.
Healthcare
- →Clinical decision support with RAG-grounded reasoning
- →Medical records processing and summarisation
- →Patient triage and symptom analysis applications
- →Insurance verification and claims automation
Education
- →Adaptive learning platforms with personalised content
- →Automated assessment and grading systems
- →Knowledge base search across institutional documents
- →Administrative automation and student support
Government
- →Scheme eligibility and benefit matching systems
- →Document processing for citizen applications
- →Multilingual citizen support (Hindi + regional)
- →Compliance monitoring and audit applications
Manufacturing
- →Equipment troubleshooting and diagnostic systems
- →SOP and maintenance procedure applications
- →Quality control documentation automation
- →Supply chain tracking and alerting systems
BFSI
- →KYC document processing and verification
- →Policy and procedure automation systems
- →Fraud detection and transaction monitoring
- →Regulatory audit trail and compliance applications
Professional Services
- →Contract analysis and document intelligence
- →Research automation with cited sources
- →Client communication and reporting systems
- →Internal knowledge base and decision support
Common Questions
Start Your AI Architecture
Free technical assessment. We'll map your data sources, identify where AI-native applications create measurable value, and design a deployment blueprint with timelines and costs.
Your Data. Your Infrastructure. Your AI.