Engineering Intelligence — Into Systems, Decisions, and Workflows
We engineer intelligence — into perception systems that work in the field, into dashboards and reporting that enable better decisions, and into automated workflows that replace manual processes.
Intelligence Into Systems, Decisions, and Workflows
Pesgit applies engineering rigour across three focused practices — and delivers within each the same field-level accountability.
Computer Vision & Edge AI
Applied R&D in efficient, real-time vision on constrained and offline hardware — optical, thermal, and multi-sensor perception engineered for industrial, agricultural, and infrastructure settings.
Data Analytics & Business Intelligence
KPI frameworks, management dashboards, and reporting that give leadership clear, reliable visibility into what matters. The same methods applied by our UK affiliate Femtus Solutions, delivered locally through Pesgit.
AI Automation & Intelligent Workflows
Applying AI to automate data-heavy and document-intensive business processes — reducing manual burden, improving consistency, and building workflows that scale with your operations.
Three Practices, Applied with Depth
Focused capability in computer vision and edge AI, data analytics and BI, and AI automation — each a distinct practice, each applied with depth.
Vision & Perception Systems
Real-time vision pipelines for optical, thermal, and infrared imagery — engineered for detection, classification, and monitoring in demanding real-world environments.
- Object Detection & Monitoring
- Thermal & Infrared Imaging
- Real-Time Inference
Multi-Sensor & Thermal Perception
Sensor architectures that fuse thermal, visible, LiDAR, and radar inputs — resolving ambiguity in low visibility, darkness, and adverse weather for safety-critical industrial and agricultural operations.
- Thermal-Visible Fusion
- Degraded Visibility Operation
- LiDAR & Radar Integration
Edge AI & Embedded Vision
Perception systems optimised for real-time inference on NVIDIA Jetson and similar embedded hardware — designed for offline, connectivity-denied, and size-, weight-, and power-constrained environments.
- On-Device Inference
- Efficient Embedded Design
- Offline Operation
Data Analytics & Business Intelligence
KPI architectures, management dashboards, and decision-support reporting — turning fragmented operational data into structured insight for leadership teams. Built on the methods applied by our UK affiliate Femtus Solutions.
- KPI Design & Reporting
- Management Dashboards
- Decision-Support Systems
AI Automation & Intelligent Workflows
AI-powered automation of data-heavy and document-intensive processes — extraction, classification, routing, and verification workflows that replace manual steps with reliable, auditable automation.
- Document & Data Extraction
- Process Automation
- Workflow Intelligence
R&D Prototyping & Advisory
From feasibility assessment to working proof-of-concept — structured R&D engagements that de-risk technology decisions before commitment, across all three practices.
- Feasibility Assessment
- Proof-of-Concept
- Technical Advisory
Application Areas
Problem areas across our three practices — where engineering rigour makes the difference.
Site & Facility Monitoring
Applied R&D in thermal and multi-sensor fusion for site monitoring — real-time detection in low visibility, darkness, and adverse weather, without cloud dependency on NVIDIA Jetson and equivalent edge hardware.
Management Reporting & KPI Visibility
Consolidating fragmented operational and financial data into structured dashboards and management reporting environments — giving leadership teams reliable visibility to make decisions with confidence.
Intelligent Document & Data Workflows
Automating document-heavy and data-intensive operational processes using AI — classification, extraction, routing, and verification that reduces manual effort and improves operational consistency.
Where Organizations Get Stuck
The problems we hear most — from teams wrestling with AI, data, and automation.
- AI models that perform in demos but degrade under real operational conditions.
- Fragmented, inconsistent data making reliable management decisions difficult.
- Manual reporting consuming time and resources without improving decision quality.
- Cloud-dependent architectures that fail when connectivity is lost or constrained.
- No clear path from a business or technical problem to a working, validated solution.
“We measure success by outcomes — whether a system works under real conditions, not just in the demo.”
Focused Depth, Not Broad Coverage
No sprawling service catalogue, no generic tooling — every system measured on real hardware, validated under real conditions.
Typical AI Providers
- ✕Cloud-dependent architectures that fail in offline environments
- ✕Generic dashboards with no management reporting depth
- ✕AI “automation” that still requires significant manual oversight
- ✕Software delivery without systems integration or domain expertise
The Pesgit Approach
- ✓Edge-native, offline-capable perception architectures
- ✓Analytics and dashboards built for decision-making, not just data display
- ✓Automation that reliably eliminates manual steps and scales with operations
- ✓Validated on real hardware, under real conditions — not just in the demo
Let's work on the problem.
Whether it's a computer vision challenge, a data visibility gap, or a process you need to automate — talk to us about a feasibility study, a proof-of-concept, or a scoped engagement.