Company

Deep engineering with commercial intent.

Axon Labs is led by operators who have commercialized connected products and architects who have shipped secure hardware from first schematic to mass production. Engagements are structured for confidentiality, IP ownership, and corporate procurement across Canada and the United States.

Deep engineering with commercial intent.

500K+

Units shipped across delivered programs

18+

Years schematic-to-production engineering leadership

Patent-backed

Secure storage, AI audio & malware detection IP

Glasgow

PhD research partnership · AI cybersecurity

Leadership

Named operators. Patent-backed engineering. Production literacy.

Commercialization, secure hardware R&D, and DFM under one roof — so architecture, security, and factory transfer are not sequential handoffs between strangers.

AP

Abhi Para

Founder

Product commercialization · Connected hardware ventures · Client outcomes

Canadian entrepreneur and product commercializer. Founder of Axon Labs and long-time operator behind Smartware — a Toronto technology company focused on design, engineering, sourcing, and manufacturing of connected consumer electronics, AI-powered devices, IoT, and smart healthcare. Inventor on AI audio patents including U.S. Patent 11,509,995 (AI-based silence generation in earbuds) and related true-wireless control systems. Builds Axon Labs around production outcomes, client IP ownership, and programs that survive volume, cost, and market reality.

Background

  • Founder, Axon Labs (Canada)
  • Founder / operator lineage, Smartware (Toronto) — connected electronics, IoT, AI devices, smart healthcare
  • Inventor — AI earbud silence & TWS control patents (assignee Toronto, CA)
  • Corporate leadership across Smartware entities (Canada)

Credentials & IP

  • U.S. Patent 11,509,995 — AI-based system for generating silence in earbuds
  • Related filings on AI TWS UI control via RF power signal recognition
  • Commercialization path: concept → engineering → sourcing → manufacturing partners
  • Based in Canada · North American enterprise engagement
NB

Nizar Bouguerra

Head of R&D · Cybersecurity hardware

Secure hardware · Edge AI · System & PCB architecture · Glasgow PhD research

End-to-end hardware and PCB architect specializing in IoT, embedded AI, and cybersecure systems. Over 18 years taking systems from first schematic to mass production across Singapore, Canada, and the USA. Patent inventor on secure storage authentication and AI-based malware anomaly detection (Flexxon patent families including US 11,610,026 B2 and IL 290159 B2). Former Head of R&D at Flexxon; prior CTO roles at Smartware, BATTVAC, and NaoVizion. PhD candidate in Computing Science at the University of Glasgow; BSc (Hons) Cyber Security and Forensic Computing, University of Portsmouth.

Engineering profile

Background

  • Head of R&D, Axon Labs Canada (2025–present)
  • Head of R&D, Flexxon (Singapore, 2020–2025) — secure memory R&D & patent portfolio
  • CTO, Smartware Pte Ltd (2022–2024) — AI & cybersecurity product strategy
  • CTO, BATTVAC (USA) · CTO, NaoVizion, LLC (USA) — smart helmets & DFM programs

Credentials & IP

  • US 11,610,026 B2 — Authenticating data transfer between storage device and host
  • IL 290159 B2 — Shared AI processor detecting malware anomalies in storage
  • SG / EP / AU counterparts — storage authentication & anomaly detection families
  • Complex PCB: HDI, rigid-flex, high-speed (PCIe, LPDDR, SerDes), SI/PI, EMI/EMC
  • 18+ years · schematic → mass production · Singapore · Canada · USA
MS

Moe S.

Mechanical Engineering

DFM · Enclosures & assembly · Production transfer

Mechanical engineer with 15 years of experience in design for manufacturing. Owns enclosure, assembly, tolerance, and production-transfer decisions so hardware is designed for the factory — not only the prototype bench.

Background

  • Production-intent enclosure and assembly leadership
  • Tolerance strategy, fastener systems, and pilot support
  • Supplier packaging for mechanical transfer

Credentials & IP

  • 15 years DFM-focused mechanical engineering
  • Enclosure, assembly, and yield-minded design
  • Manufacturing transfer as a first-class deliverable

How we work

Principles serious product organizations recognize

01

Architecture before features

Interfaces, power, RF, security, and manufacturing envelopes are decided before feature theatre. The system model comes first.

02

Evidence at every gate

Each phase ends with measurable outputs and a go / reshape / stop decision. Capital advances when the technical case does.

03

Production is a design input

BOM, yield, test time, certification path, and supplier reality enter the program early — not after the demo lands.

04

One technical authority

Hardware, firmware, AI, and security share a single system model. No handoff gaps between silos.

Enterprise engagement

Procurement-ready. Confidentiality-first. Senior-led.

Confidentiality first

NDA before sensitive materials. Enterprise expectations on information handling from day one.

Client-owned IP

Project IP ownership defined in signed agreement. Your product architecture stays yours.

Enterprise commercial terms

MSA, statement of work, purchase order, and vendor onboarding supported.

References under NDA

Customer references and introductions available under mutual NDA after qualification — not published on the open web.

Evidence-gated delivery

Phases end with artifacts and go / reshape / stop decisions. Manufacturing transfer is a deliverable.

Where we operate

Canada · United States

Programs structured for North American enterprise teams: time zones, procurement language, confidentiality expectations, and manufacturing transfer partners that match your supply strategy. Leadership experience shipping across Singapore, Canada, and the USA.

Research partnership

University of Glasgow

Head of R&D Nizar Bouguerra is a PhD candidate in Computing Science at the University of Glasgow, with prior Head of R&D tenure at Flexxon directing secure-memory architectures and multi-jurisdiction patents on storage authentication and AI malware anomaly detection.

Explore research

If the product has to ship, talk to the team that builds for that outcome.

Senior engineer on the first call. NDA before technical detail. References available under NDA after qualification. Or start with a fixed-fee feasibility study.