Archimetis secures $11.5M to help refineries turn fragmented data into $34-45M in annual value
Operations teams don't lack data. They lack time, context, and a way to turn noise into decisions under pressure. Archimetis, founded in 2023 in San Francisco, brings an AI-powered operational reasoning system to energy, chemical, and industrial plants to fix that gap.
The company announced $11.5M in new funding led by Inspired Capital, with participation from Homebrew, MCJ, Borusan Ventures, Incite, and industry leaders including Jeff Dean, Matt Rogers, John Giannandrea, Alfred Spector, and Diane Tang.
The problem it solves for ops
Outages and daily upsets force teams to hunt through sensors, maintenance tickets, PDFs, emails, and the heads of a few veterans. Analysis lives in Excel. Best practices are inconsistent shift to shift.
The result: slow resolution, missed margin, and safety risk that compounds across hundreds of small decisions every day.
What Archimetis actually does
Built on advances related to Google DeepMind's AlphaCode, Archimetis acts as an operational reasoning layer that sits across your plant's data and engineering workflows.
- Continuously monitors units for issues and opportunities.
- Combines structured and unstructured data from sensors, historians, maintenance systems, and documentation.
- Applies global and company-specific best practices.
- Performs complex engineering analysis that normally takes days.
- Packages recommendations with context so decisions can be made immediately.
- Runs in a secure, private cloud environment.
Early results that matter
A 120,000 bpd refinery reported $34-45M in bottom-line impact through margin improvement, cost savings, and stronger process safety. That's the kind of return that gets budget approved without a debate.
Why this is useful for operations leaders
- Shortens time-to-diagnosis and recovery when a line goes down.
- Surfaces small, repeatable wins across energy use, yield, and reliability.
- Makes best practices visible and usable on every shift.
- Reduces reliance on tribal knowledge locked in a few experts' heads.
- Improves decision quality by pairing live data with engineering-grade analysis.
Voices from the field
"For years, industrial operations teams have been asked to manage increasing complexity with tools that haven't kept pace," said Paul Manwell, Co-Founder and CEO of Archimetis. "Recent breakthroughs in AI reasoning make it possible to give every team member the judgments and instincts of the very best, while making organizational knowledge usable every shift."
"The Archimetis team represents exactly the kind of technical depth and operational excellence we look for," said Charlotte Ross, Partner at Inspired Capital. "They know how to build systems that work at scale under pressure. We believe Archimetis is positioned to become the operational intelligence layer for the global industrial sector."
Where it fits in your stack
- Upstream: connects to sensors, historians, maintenance systems, and manufacturer docs.
- Core: reasons across data and engineering logic, applies your standards, and quantifies impact.
- Downstream: delivers ranked insights with assumptions and recommended actions for immediate use in daily operations.
How to pilot it well
- Pick a high-value unit with clear pain (unplanned downtime, energy intensity, yield loss).
- Define 3-5 KPIs you'll move (MTTR, margin per barrel, energy per ton, safety leading indicators).
- Integrate the minimum viable data sources and validate one workflow end to end.
- Codify your best practices and let the system standardize them across shifts.
- Review weekly, retire manual analysis where confidence is proven, and expand unit by unit.
Who they're working with and what's next
Archimetis is focused on Energy, Chemicals, and Metals, and is already working with global operators including Borusan. The new funding will help scale delivery teams and expand the platform to additional use cases across heavy industry.
About Archimetis
Archimetis is an AI-powered operational reasoning system for energy, chemical, and industrial plants. It combines data from disparate sources, performs complex engineering analysis, and applies organizational best practices so every operator and engineer can make faster, better decisions. Founded in 2023 and headquartered in San Francisco, the company is backed by Inspired Capital, Homebrew, and leading angel investors. Learn more at archimetis.ai. For media inquiries: press@archimetis.ai
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