Our Mission
To engineer sovereign, low-latency computer vision and multimodal intelligence systems that solve real-world mobility, security, and administrative bottlenecks—empowering governments, enterprises, and citizens with verifiable precision.
Our Vision
To be the leading global provider of high-throughput visual perception systems that ensure sovereign privacy, run resiliently offline on edge hardware, and transform city corridors into automated, zero-congestion smart ecosystems.
đź“– The Sigmind Journey
From competitive robotics and control systems research to national highway corridors and international commercial contracts.
Deep Tech Heritage & Founding Innovation
Sigmind was founded by computer vision researchers and systems engineers dedicated to engineering sovereign, high-precision artificial intelligence. Witnessing the limitations of foreign computer vision platforms—which struggled with dense traffic, non-standard South Asian license plates, occlusions, and varying light conditions—the team set out to engineer homegrown neural network models optimized for mission-critical infrastructure.
Over 8 years of intensive R&D, Sigmind published seminal research in IEEE Xplore and SAE International, patented novel multi-frame recurrence sorting algorithms, and established commercial production deployments across 52+ public and private institutions spanning 6 countries.
đź‘Ą Engineering & Executive Leadership
Visionary leadership driven by published research, systems architecture expertise, and proven deployment execution.
Md. Abu Anas Ibn Samad
Computer Vision Researcher, Robotics Specialist, and Serial Technologist. 4x BASIS National ICT Awardee, Daily Star ICT Awardee, and Entrepreneurship World Cup Bangladesh Champion, and author of 11+ peer-reviewed scientific publications on neural traffic sensing, adaptive control, and edge computer vision.
Hasib Md. Ibne Rafique
Leads commercialization, institutional relations, and large-scale public infrastructure deployment operations. Oversees multi-site delivery across government ministries, critical export processing zones (BEPZA), and private industrial conglomerates.
Seeam Hossain
Leads core algorithm optimization, edge inference pipelines, and distributed sovereign computing architectures. Coordinates high-concurrency neural network execution on NVIDIA Jetson, TensorRT, and low-latency microservices.
🔬 Sovereign Technology Stack
Architected for zero data leakage, high throughput, and resilient offline edge execution.
Edge Hardware Acceleration
NVIDIA Jetson (Orin, Nano, Xavier), CUDA acceleration, and TensorRT compilation delivering up to 15x inference speedups with sub-15ms frame latency.
IEEE Recurrence ANPR
Patented multi-frame recurrence sorting that eliminates motion blur, glare, and vibration for 99.68% verified plate accuracy at speeds up to 140 km/h.
Multimodal Sovereign AI
Local on-premise LLMs and Vision-Language Models (AgentIQ) executing deep document intelligence and video comprehension behind sovereign institutional firewalls.
Zero-Leakage Privacy Guard
Air-gapped deployment architecture ensuring 100% of facial embeddings, license plate tracks, and biometric telemetry remain entirely within customer premises.