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jonathan low

T2 · manager / operator

Jonathan Low (Johnny) is the CEO and co-founder of Scope, an AI platform for the testing, inspection, and certification (TIC) industry. He previously competed as a math Olympian and built the company through Entrepreneur First, raising a $20M Series A led by Index Ventures after achieving 10x ARR growth in under a year.

1 call·1 name·100% bull·last heard 4 months ago·Scaling Europe
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$SCOPEScopeposition

Scope raises $20M to build AI platform for $300B testing, inspection, certification industry

Scope is transforming the $300B TIC industry by replacing pen-and-paper workflows with an AI-powered platform that uses language models and agents to build customizable inspection workflows across any vertical, achieving 10x ARR growth since relaunch and targeting $15M ARR by year-end.

Scaling Europe2026-05episode →

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  • $SCOPE

recurring themes

  • Robotics & Physical AI1
  • AI Agents1
  • Enterprise AI Adoption1
1 total
$SCOPE
Scope
HIGHjonathan low·Scaling Europe·4 months ago·BREAKING: Scope raised $20m: Jonathan Low, CEO at Scope· position
Scope raises $20M to build AI platform for $300B testing, inspection, certification industry
Scope is transforming the $300B TIC industry by replacing pen-and-paper workflows with an AI-powered platform that uses language models and agents to build customizable inspection workflows across any vertical, achieving 10x ARR growth since relaunch and targeting $15M ARR by year-end.
"Today, we're announcing that Scope has raised 20 million of funding to transform inspection space forever, to build AI for the testing, inspection, and certification space... It's…"
0:14
8
Robotics & Physical AItailwind
Physical AI makes industrial asset data as accessible as digital information
The $300B testing, inspection, and certification industry is ripe for Physical AI transformation: making physical asset data (corrosion, measurements, compliance) as instantly queryable as email, unlocking a world where plant managers and landlords access real-time condition data without manual site visits.
8
AI Agentstailwind
LLMs and agents enable horizontal platforms across fragmented inspection verticals
Language models and multimodal agents finally allow a single platform to span thousands of inspection types (pressure vessels, fire safety, aerospace) by dynamically ingesting standards and generating workflows, replacing the need for countless vertical point solutions that failed to scale.
7
Enterprise AI Adoptiontailwind
Aging NDT workforce (40% retiring in 5 years) forces TIC industry to adopt transformative AI
The non-destructive testing sector faces a demographic cliff with 40% of inspectors retiring within five years, eliminating the option to maintain status quo with Excel and legacy tools and creating urgent demand for AI that captures expert knowledge and multiplies remaining workforce productivity.