Industrial fires remain one of the most expensive and disruptive risks facing manufacturing, recycling, energy, and processing facilities worldwide. Aging equipment, rising operational pressure, and increasingly strict insurance requirements are forcing industrial operators to rethink how they monitor critical infrastructure. Yet many facilities still rely on outdated thermal inspection methods that only provide occasional snapshots of equipment conditions rather than continuous monitoring. Zurich based industrial AI startup AVIAN is developing a real time thermal intelligence platform designed to detect fire risks before equipment fails, and investors are backing the company with fresh funding.
AVIAN has raised $2.6 million in a pre seed funding round led by Founderful.
The company says the funding will help accelerate expansion into additional industrial sectors and support growth across engineering, deployment, and product development teams.
Moving Beyond Traditional Thermal Inspections
The traditional approach to industrial thermal safety often relies on periodic thermography inspections, where technicians manually walk through facilities with handheld thermal cameras every few months.
According to AVIAN, this method frequently misses the critical period when machinery begins overheating shortly before failures or ignition events occur.
The company argues that many existing thermal monitoring providers focus primarily on selling hardware while leaving customers responsible for system setup, monitoring workflows, escalation management, and operational integration.
AVIAN instead positions its thermal cameras as only one part of a broader industrial intelligence platform.
Building an Always On Reliability Layer
The company’s platform continuously monitors high risk industrial equipment including motors, bearings, conveyors, presses, and electrical cabinets using AI powered thermal cameras.
Rather than simply detecting heat, the system learns what “normal” operating behaviour looks like within each individual facility and focuses on identifying thermal drift patterns that emerge before failures occur.
The platform is designed to filter out routine heat fluctuations while escalating only the abnormal patterns most likely to indicate developing equipment problems or fire risks.
Alerts are automatically routed to operational teams with enough lead time to intervene before overheating components cause downtime, production interruptions, or fires.
AVIAN also generates predictive maintenance reports automatically and combines its AI platform with 24 hour human operational support.
Learning Across Every Industrial Site
One of the company’s core advantages is its feedback driven monitoring system. Every alarm event reviewed by operators is fed back into AVIAN’s machine learning models, allowing the detection systems to improve continuously across all deployed facilities.
According to the company, each new customer site benefits from operational learning gathered across the broader deployment network.
AVIAN says the system has already prevented multiple industrial incidents. In Switzerland, the platform detected an early stage pellet press fire before it escalated, avoiding millions of dollars in potential damage.
In Germany, the company identified a developing electrical fire next to industrial machinery valued at millions, preventing both asset loss and significant production delays that could have lasted for months while replacement systems were sourced.
From Bootstrapped Startup to Industrial AI Platform
AVIAN was founded by a 10 person team based in Zurich after one of Switzerland’s largest sawmills contacted founder Drew Hanover following media coverage of his robotics and AI research.
The sawmill faced increasing challenges related to fires, downtime, and rising insurance pressure, helping inspire the development of the company’s continuous thermal monitoring platform.
Hanover said industrial operators do not simply need additional cameras but rather reliable systems capable of identifying overheating components in real time before they ignite surrounding materials or disrupt production.
The company remained entirely bootstrapped and profitable for two years before raising external funding.
Expanding Into New Industrial Markets
AVIAN says it raised external capital primarily to accelerate growth rather than sustain operations. The company plans to expand beyond its current focus on wood processing into industries including recycling, chemical processing, oil and gas, and maritime operations.
The startup is currently deployed across approximately 50 industrial sites in nine countries and says it has prevented more than $50 million in damages from fires and equipment failures over the past two years.
AVIAN is also on track to surpass $1 million in annual recurring revenue during 2026.
As industrial infrastructure becomes increasingly automated and data driven, platforms capable of combining AI powered monitoring with predictive operational intelligence are becoming an increasingly important part of industrial risk management and reliability systems.
