Announcements

Momenta Ventures invests in Zero Parallax to bring continuous intelligence to critical infrastructure

by
Jakob Ulrych
September 29, 2026
Industrial-focused VC firm Momenta has led a seed investment in Swedish infrastructure technology startup Zero Parallax Technologies, which is developing continuous monitoring and intelligence tools for critical infrastructure.

The investment comes as utilities and infrastructure operators face growing pressure to maintain aging assets while dealing with increasingly dynamic electricity systems, including higher loads and the integration of renewable energy.

Zero Parallax is targeting a problem that remains common across the sector: infrastructure is changing continuously, but its condition is often assessed through periodic inspections.

The Swedish startup wants to replace this snapshot-based approach with continuous infrastructure intelligence, allowing operators to identify developing problems before they turn into outages or other costly failures.

At the core of Zero Parallax’s technology is thermal monitoring. But the company argues that the value lies not simply in collecting thermal images or measurements, but in turning those signals into information that infrastructure operators can use to make maintenance decisions.

“Critical infrastructure does not fail without warning. The challenge is knowing which signals matter before a developing condition becomes an outage. Our goal is to help operators make maintenance decisions based on evidence rather than inspection schedules,” said Vygantas Kirejevas, Founder and CEO of Zero Parallax Technologies.

 
Why Momenta is investing

The round was led by Momenta, a venture capital firm focused on what it describes as Industrial Impact investments in technologies addressing industrial and infrastructure challenges. For Momenta, Zero Parallax fits into a broader thesis around applying AI and advanced technologies to physical industries, where the consequences of operational failures can be significant.

Jerry O’Gorman, Venture Partner at Momenta, said the investment reflects the firm’s interest in what it calls “applied Industrial AI.”

“Zero Parallax represents the kind of applied Industrial AI we believe matters: not AI for presentation, but intelligence that respects operational constraints and delivers operational outcomes in infrastructure that cannot fail.”

The distinction is important for Zero Parallax. Rather than positioning itself primarily as a thermal-imaging company, the startup is aiming to build an intelligence layer on top of infrastructure monitoring. Its proposition is based on three elements: continuous monitoring instead of periodic inspection, asset intelligence instead of raw data, and applications designed specifically for utilities and critical infrastructure.

 

From inspection schedules to continuous monitoring

Traditional infrastructure maintenance often relies on scheduled inspections and point-in-time assessments. While these approaches can identify existing problems, they can also leave operators with limited visibility into what happens between inspections.

Zero Parallax is built around the idea that asset conditions can provide signals of deterioration before a failure occurs. By continuously monitoring those signals, infrastructure operators can potentially identify emerging issues earlier and prioritize maintenance based on the actual condition of their assets.

The approach is particularly relevant to electricity infrastructure, where grids are undergoing significant changes while much of the underlying physical infrastructure is aging.

For operators, the challenge is therefore not simply collecting more data. It is determining which changes matter and turning them into actionable information. That is the market Zero Parallax is targeting with its infrastructure intelligence platform. The new funding from Momenta will support the company’s efforts to develop and scale the technology and accelerate its work with utilities and other critical-infrastructure operators.

Zero Parallax is positioning itself at the intersection of industrial AI, infrastructure monitoring and predictive maintenance; a market where identifying problems before they become failures can have a direct operational and economic impact.

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