Misti AI has secured $336,000 (£250,000) in pre-seed funding led by Fuel Ventures, with the round still open as the industrial AI company moves toward a $673,000 (£500,000) target.
The company is developing a Physical Observability layer for heavy industry, using existing camera networks to generate structured data from industrial operations. Its platform turns passive video streams into real-time indicators covering site awareness, safety compliance, process deviations, and operational risk.
Misti AI has started initial deployments across remote industrial operations in Latin America, including mining and energy sites in Peru. The early installations are operating in environments where low connectivity, distributed assets, and high-risk work areas limit the usefulness of conventional centralised monitoring systems.
Co-founder and CEO Carlos Samamé said: “We’re entering the decade of Physical AI. Every industrial site is already instrumented with cameras, but they’re blind systems, recording without understanding. We’re building the intelligence layer that allows machines to interpret, reason, and act on what’s happening in the real world. We’re starting with observability, but the long-term vision is to become the system of intelligence for physical operations globally.”
The technical approach combines edge AI with vision-language models, allowing inference to run on site rather than depending entirely on cloud connectivity. That architecture is suited to mines, energy assets, logistics yards, and process sites where bandwidth is limited or where operational decisions require immediate local processing.
Co-founder and CTO Jalaj Jain said: “What makes this hard isn’t computer vision, it’s building systems that can operate reliably in harsh, low-connectivity environments while delivering structured, real-time intelligence. We’re combining edge AI with vision-language models to move from detection to reasoning, understanding not just what is happening, but why it matters operationally.”
The company is also part of the NVIDIA Inception Program, giving it access to technical and ecosystem support as it develops scalable AI infrastructure for industrial environments. Its next phase will centre on converting early field evidence into repeatable deployment models across heavy industry, where camera coverage is often extensive but operational intelligence remains fragmented.
Misti AI is continuing to close the current round toward its £500,000 target, with investor and industrial deployment enquiries directed through its website.
