Where Our AI Has Made an Impact
These are not prototypes. Each project below represents a production-grade AI system — deployed, validated, and operating in the field.
Defence & SecurityCase Study
Border Surveillance & Intelligence System
An integrated, real-time surveillance platform that combines computer vision and NLP-based intelligence gathering for border security and perimeter monitoring.
The Challenge
Manual monitoring of vast perimeter zones is resource-intensive, error-prone, and unable to operate at the speed required for effective threat response. Our client needed a system that could autonomously detect, classify, and report threats in real time — 24/7.
What We Built
- ◆Real-time multi-class object detection — person, patrol vehicle, and unidentified objects — with confidence-scored bounding box visualization.
- ◆NLP-based automated reporting pipelines that convert detection events into structured intelligence reports.
- ◆Human-in-the-loop validation workflow for analyst review of flagged incidents.
- ◆Live operational dashboards with event timelines, geographic mapping, and alert thresholds.
- ◆Edge-deployable model architectures for operation in low-connectivity environments.
Technologies Used
- Computer & Machine Vision
- AI Model Training
- Data Analytics
Legal & GovernmentCase Study
Legal Document Retrieval System (QRL)
An enterprise RAG platform that allows legal professionals and analysts to query massive document repositories using natural language — and receive accurate, cited answers in seconds.
The Challenge
Legal teams dealing with thousands of documents face a knowledge retrieval crisis. Keyword search misses context; reading everything is impossible. The client needed an AI assistant that understood legal language, surfaced relevant passages, and cited its sources with precision.
What We Built
- ◆Hybrid search engine combining dense vector retrieval (FAISS) with lexical BM25 scoring for maximum recall.
- ◆Smart document chunking and ingestion pipeline using Docling and PyPDF for clean, structured text extraction.
- ◆Cross-encoder reranking using MS MARCO with MMR diversification for high-quality answer selection.
- ◆LLM-based answer generation using Mistral-7B and Qwen with LoRA fine-tuning for legal domain accuracy.
- ◆4-bit / 8-bit quantization enabling on-premise deployment without enterprise GPU infrastructure.
Tech Stack
- Generative AI, LLMs & RAG
- AI Model Training
Procurement & OperationsCase Study
Tender Response Automation System (TRS)
An end-to-end AI platform that ingests tender documents, extracts requirements, generates structured responses, and routes approvals — replacing weeks of manual effort with hours of AI-assisted processing.
What We Built
- ◆8-section structured AI summary generation with page-level source citations for full auditability.
- ◆10-category requirement classification engine with intelligent deduplication across complex tender documents.
- ◆5-phase BOM/BOQ automation pipeline that maps tender specifications to real bill-of-materials items.
- ◆Conversational RAG chat interface for ad-hoc tender queries with cited answers.
- ◆7-stage role-based approval workflow with immutable audit logging and JWT-secured access control.
Key Numbers
46
API endpoints
7
user roles
12
database tables
100%
on-premise
0
cloud dependency
Tech Stack
- Generative AI, LLMs & RAG
Aerospace & DefenceCase Study
Flight Test Data Analytics Solution
An intelligent aircraft health monitoring system that ingests flight test telemetry, validates sensor data with AI confidence scoring, and delivers predictive operational insights to engineers and analysts.
What We Built
- ◆Dynamic data ingestion with auto-generated physical tables — handles any CSV/JSON schema without manual database migration.
- ◆AI-assisted validation review queue that assigns confidence scores to mission data and flags anomalies for analyst review.
- ◆Advanced analytics dashboards with integrated charts for operational parameters and throughput trends over time.
- ◆Tactical operational dashboard delivering actionable predictions and mission-readiness insights.
Tech Stack
- Data Analytics & Insights
- Predictive Analytics
Healthcare & Life SciencesCase Study
Genomic Variant Validation & Visualization Platform
A full-stack genomic data platform for querying, visualizing, and validating cancer variants — enabling clinicians and researchers to navigate complex genetic datasets with speed and precision.
What We Built
- ◆Advanced genomic search: query large variant databases by gene name, chromosomal position, HGVSc notation, or Ensembl transcript ID combinations.
- ◆Sliding window contextual analysis for validating genetic mutations against MANE Select transcripts.
- ◆Interactive visualization dashboards: chromosome distribution maps, mutation hotspot heatmaps, allele frequency trends, and variant impact scores.
- ◆Full-stack architecture with secure access, role-based permissions, and audit-ready data integrity controls.
Tech Stack
- Data Analytics & Insights
- Data Visualization
Defence & Autonomous SystemsCase Study
Autonomous UAV 3D Path Planning System
A reinforcement learning-based autonomous navigation system for unmanned aerial vehicles — enabling real-time, adaptive 3D path optimization in complex, dynamic environments.
What We Built
- ◆Actor-Critic architecture providing learning stability and computational efficiency across long-horizon navigation tasks.
- ◆Discrete RL agents (DQN) with 27 discrete actions covering full 3D movement including diagonals and vertical directions.
- ◆Continuous RL agents (PPO) producing smoother, more natural flight paths than discrete grid-step methods.
- ◆Expert trajectory bootstrapping using A* and iADA* algorithms for faster initial training convergence.
- ◆Behavior cloning and experience replay to accelerate policy learning from historical flight data.
Tech Stack
- Reinforcement Learning