Specialist Depth. One Clear Focus.
Pesgit Engineering makes vision models run on real hardware, measuring every performance claim on your target device, not estimating from spec sheets. Based at NASTP, Rawalpindi.
Pesgit Engineering is a specialist firm focused on vision AI on constrained embedded hardware. We work on commercial and industrial applications — inspection, manufacturing, energy, agriculture, logistics, and research — for clients in the US, UK, and Europe, delivering remotely and shipping results.
Close the Gap Between Paper and Hardware
Most vision projects are sized on estimates. Operation counts, FLOPs, and spec-sheet TOPS are computed on paper. Real hardware routinely disagrees with them. That gap is why models that fly in a notebook miss their deadline in the field.
We close it by measuring on the actual device, first. Every performance claim we make is backed by a reproducible evidence package: raw timing logs, a verifier script, and an honest limitations section. We are not the only firm that says they do edge AI. We are one of the very few that shows the p99.
Our data and reporting practice follows the same evidence standard: data and reporting foundations, management reporting, and project controls. Delivered through our UK affiliate Femtus Solutions for clients who need a UK contracting entity.
Pesgit works on commercial and industrial applications: inspection, manufacturing, energy, agriculture, logistics, and research. Our clients are companies, institutions, and research partners.
Where a UK contracting entity is required, engagements can be contracted through Femtus Solutions Limited, registered in England and Wales, company number 15629036. Registered office: 60 Tottenham Court Road, Suite 5993a, Fitzrovia, London W1T 2EW, United Kingdom.
“One engineering standard. We measure success by outcomes, not outputs.”
Credentials Behind the Claims
For a specialist firm, the founder's technical record is the trust signal. Here it is, plainly stated.
Fawad Sarim
Founder, Pesgit Engineering
- MS Artificial Intelligence Engineering
- BS Computer Engineering, COMSATS University
- Active research: efficient vision model deployment on embedded hardware
- Patent filed
- Paper under submission
Our Practices & Principles
Computer Vision & Edge AI
Our primary focus. We research, prototype, and engineer vision systems — optical and thermal cameras on NVIDIA Jetson and equivalent embedded hardware — for real-world environments where power, thermal, and latency budgets are hard constraints, not soft targets.
Measurement as the Standard
Every performance claim is backed by measurement on the actual device: locked clocks, 200+ runs, p50/p95/p99/max reported, thermal guard active. The evidence package — raw logs, claim-to-file manifest, and verifier script — is a deliverable on every engagement.
Data & Reporting Foundations
We build data and reporting foundations, management reporting, and project controls. Our analytics practice applies the methods of Femtus Solutions, our UK-based data consultancy, delivered locally through Pesgit.
AI Automation & Intelligent Workflows
We apply AI to automate data-heavy and document-intensive processes, replacing manual steps with consistent, auditable workflows. The bridge between analytics insight and operational execution.
Applied R&D Methodology
We de-risk technology decisions through structured R&D: problem framing, feasibility assessment on target hardware, prototyping, and real-world evaluation. Every engagement is designed to generate evidence you can act on, not a demo that works once.
Flexible Collaboration
Engagements structured to fit your program, team, and budget. Flexible IP arrangements: client-owned, shared, or licensed, agreed before work begins. We welcome grant-funded research, contract R&D, advisory mandates, and subcontract partnerships with agencies that win edge AI projects.
One Firm. One Clear Focus.
Pesgit Engineering is a specialist firm for vision AI on constrained hardware: feasibility, measurement, model development under constraint, and deployment engineering. One focus, applied with depth.
We work with companies deploying cameras on devices: drone and UAV teams with onboard AI, robotics and automation companies with real-time perception requirements, industrial machine vision integrators, and IoT device makers fitting models onto their SoC. If your deployment has a power budget, a thermal limit, and a deadline, that is exactly the problem we exist for.