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Senior AI product and engineering team reviewing delivered systems and project outcomes

Our Work

Case studies that ship outcomes — not just demos.

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Public student utility
Indian university applicants comparing college options together in a library

MedChoice India

A focused, source-linked medical college explorer with representative course, state, college and historical cutoff views.

Problem

Students have to interpret a dense official seat matrix while making time-sensitive counselling choices.

Impact

  • Demonstrates the core college-discovery workflow across six focused pages.
  • Keeps the custom application, styling and data payload under 25 KB before compression.
Curated official dataStatic searchLocal shortlistPrivacy-first
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Footwear Manufacturing Company
AI engineering team collaborating around system architecture screens

Organization-Wide AI Adoption

Core AI platform with MCP Gateway, Registry, and Server blueprints to standardize delivery, governance, and on-prem deployments.

Problem

Fragmented experimentation, duplicated stacks, and no governed path to production for AI use cases.

Impact

  • Cut deployment timelines from months to weeks using standard blueprints.
  • Improved observability, lineage, and governance across all AI services.
MCP GatewayDatabricksMCP RegistryFast MCP
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Semiconductor / Chip Manufacturing
Automated semiconductor production equipment in a modern facility

Multi-Agent Fleet System

Fleet of collaborative agents that transform functional specs into shippable code with knowledge-graph grounding and governance.

Problem

Slow handoffs between spec authors and developers; gaps and ambiguities caused rework and compliance risk.

Impact

  • Reduced rework by proactively flagging gaps before sprint kickoff.
  • Shorter spec-to-code cycle with automated task breakdowns and validated context.
Multi-Agent FleetKnowledge GraphCosmos DBRAG
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Burns & McDonnell
Large civil infrastructure project with engineering works in progress

Vision Multimodal Pipeline

On-prem vision + language pipeline powered by Qwen-3-32B-VL, tuned for industrial imagery with GPU-aware batching and guardrails.

Problem

Need for private, on-prem vision analysis with tight latency and compliance requirements.

Impact

  • Consistent sub-second responses on 16 GB VRAM hardware.
  • Improved extraction quality on mixed diagrams + text-heavy documents.
Qwen-3-32B-VLRTX 5090MultimodalOn-Prem
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Global Professional Services Firm
Layered digital system architecture with precise blue data nodes

Enterprise RAG & Knowledge Hub

Hybrid RAG platform with vLLM inference, Weaviate vector search, and policy guardrails for regulated content.

Problem

Consultants lacked a single, governed source of truth; answers were stale, and LLM outputs were un-audited.

Impact

  • Answer relevance and grounding improved; hallucinations reduced with retrieval confidence scoring.
  • Freshness SLA met via continuous ingest and recency boosting across practices.
RAGWeaviatevLLMLoRA
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Industrial IoT Provider
Connected automotive facility representing realtime industrial operations

Realtime Ops Copilot

Streaming GenAI copilot for control-room operators using small language models (SLMs), tool-use, and edge-safe guardrails.

Problem

Operators lacked a trustworthy assistant for live incidents; prior bots were slow, verbose, and unsafe for edge sites.

Impact

  • Reduced mean time to mitigation with faster, grounded guidance and automated SOP execution.
  • Lowered bandwidth and GPU cost using SLM-first routing and adaptive batching.
SLMvLLMRAGOpenTelemetry
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