Proven Results in AI Systems Engineering

Explore our real-world implementations that demonstrate how we help businesses scale AI infrastructure, optimize performance, and achieve measurable outcomes.

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Featured Case Studies

These projects highlight our expertise in building scalable, high-performance AI systems across industries.

Real-time Multimodal Search

FinTech Client - Document Discovery Platform

  • Vector DB with disk-based index for 1B+ vectors
  • Triton + dynamic batching achieving sub-200ms latency
  • Multi-model ensemble for text and image embeddings
  • Cost reduced by 40% vs managed solutions
  • 99.9% uptime serving 10K+ concurrent queries

Outcome: Improved search accuracy by 35% and reduced operational costs significantly.

Enterprise LLM Assistant

Fortune 500 Technology Company

  • vLLM + Triton deployment with continuous batching
  • Custom policy-driven multi-agent orchestration
  • Fine-tuned Smol-LLM for domain-specific tasks
  • Handles 100+ concurrent users seamlessly
  • Reduced response latency by 60% vs baseline

Outcome: Enhanced employee productivity with AI-driven assistance, scaling to enterprise levels.

Video Analytics Pipeline

Retail Chain - 500+ Store Locations

  • Distributed PySpark processing 70M frames daily
  • YOLOv8 model pruning + TensorRT optimization
  • Real-time inventory tracking and heatmap analytics
  • Edge deployment across 500+ locations
  • 90% reduction in processing latency

Outcome: Optimized inventory management and customer insights, leading to 25% efficiency gains.

More Success Stories

Additional examples of how we’ve transformed AI challenges into scalable solutions.

Distributed Data Pipeline for Healthcare

Healthcare Provider - Patient Data Analysis

  • PySpark pipeline for processing petabyte-scale datasets
  • Kubernetes orchestration for fault-tolerant computing
  • H&E-stained slide imaging with whole-slide digital pathology for tissue analysis
  • 4-5 channel multi-spectral analysis (H&E + IHC biomarkers) for enhanced feature extraction
  • Real-time anomaly detection in patient records, including AI-driven disease detection in histopathological images
  • Reduced data processing time from days to hours

Outcome: Accelerated insights for better patient care and operational efficiency.

RAG System for Legal Research

Law Firm - Document Retrieval Platform

  • Advanced chunking and embedding strategies for legal documents
  • Billion-scale search with disk-based vectorDB supporting 1B+ embeddings
  • Integration with multiple vector stores (in-memory + disk hybrid indexing)
  • LLM fine-tuning on proprietary case law and statutes for domain accuracy
  • Query optimization with hybrid search (vector + keyword) reducing false positives by 50%
  • Secure API deployment with role-based access controls and audit logging

Outcome: Enabled sub-second retrieval across a billion-document legal corpus, cutting research time by 70%.

Computer Vision for Manufacturing

Manufacturing Company - Quality Control System

  • Custom CNN models for defect detection
  • Edge deployment on industrial hardware
  • Real-time processing at 60 FPS
  • Integration with production line APIs
  • 99% accuracy in defect identification

Outcome: Reduced waste by 30% and improved product quality.

Audio Intelligence Platform

Media & Broadcasting Company - Content Analysis

  • Real-time speaker diarization for multi-speaker interviews
  • Music-speech separation using advanced neural networks
  • Mel spectrogram & audio spectrogram feature extraction
  • Automated silence remover for podcast post-production
  • High-dimensional audio music embeddings for similarity search

Outcome: Reduced audio editing time by 70% and enabled intelligent content tagging.

Production-Scale Model Deployment

AI Startup - Inference Infrastructure

  • Production-scale deployment of 100+ models across GPU clusters
  • Triton Inference Server with dynamic batching & model ensembling
  • FastAPI gateway with rate limiting and authentication
  • vLLM for high-throughput LLM serving
  • Model optimization using ONNX, TensorRT, optimum threading, and dynamic batching

Outcome: Achieved 5x throughput and 60% cost savings in GPU utilization.

Agentic AI Automation Suite

Enterprise Client - Workflow Automation

  • Automation under AI using tool modeling and decision trees
  • Function calling orchestration across 50+ internal APIs
  • Multi-agent system for report generation and approvals
  • Dynamic task routing based on context and priority
  • Self-healing workflows with fallback strategies

Outcome: Automated 80% of manual workflows, saving 1,200+ hours monthly.

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