Deployed Solutions Archive
A highly-structured intelligence dossier of our production-grade AI systems, demonstrating deterministic scaling, massive throughput, and extreme ROI.
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Project: Nexus
Search
Real-time Multimodal Vector Search
Document Discovery Platform scaling to immense vector databases with stringent enterprise security controls.
- 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.
Project:
Aegis
Orchestration
Enterprise LLM Assistant
- 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.
Project:
Helix
Data
Distributed Data Pipeline
- 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.
Project: Oculus
Vision
Distributed Video Analytics Pipeline
- 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.
Project:
Lexis
Search
RAG System for Legal Research
- 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%.
Project:
Forge
Vision
Computer Vision QC
- 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.
Project:
Echo
Audio
Audio Intelligence Platform
- 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.
Project:
Titan
Deploy
Production-Scale 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.
Project: Prometheus
Orchestration
Agentic AI Automation Suite
- 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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