Geminus
Founded 2018 · 43 employees on LinkedIn · 3 known investors
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Geminus builds physics-native AI systems that understand, predict, and optimize complex industrial infrastructure in real time by combining physics-based simulation with real-world data and uncertainty-aware reasoning. The company serves energy, industrial, space, and defense sectors with mission-critical system optimization and monitoring.
Also known as Geminus AI · Geminus.AI
Founders & leadership
Geminus was founded in 2018 by Karthik Duraisamy and Alex Gorodetsky.

Investors · 3
Funding
SEC filings, press & company announcements- Undisclosed amountSeedJun 2022Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Geminus develops a physics-native AI platform for high-consequence physical systems, linking artificial intelligence to industrial operations by integrating data, physics and computation into a single system intended to understand and optimize complex operations in real time under uncertainty. Rather than extrapolating patterns from historical data alone, the platform models the underlying physics of an asset and fuses multiple sources of truth — simulators, historical data, real-time sensor feeds and operational context — to produce real-time recommendations accompanied by uncertainty qualification, addressing operators' reluctance to act on predictions shipped without a confidence measure.
The company positions the technology around three attributes: speed of decision-making matched to mission-critical systems, robustness of predictions under real-world uncertainty, and scalability across thousands of networked assets ranging from refineries to electric grids, satellites and defense systems. An earlier description of the approach characterizes it as combining synthetic and measured data to build explainable machine learning models where large volumes of high-quality real-world data are unavailable or hard to acquire, creating accurate models in hours rather than months and executing roughly 1,000 times faster than conventional simulation. A third-party private-market profile describes the offering as a generative engineering platform for AI-driven digital twins of complex industrial systems, and categorizes it under ML platforms, smart manufacturing and energy management.
Business model
B2B enterprise software sold to industrial operators, characterized externally as subscription SaaS together with services and consulting, positioned at the infrastructure layer of the AI stack.
Software platform revenue from industrial customers, with an external profile characterizing the customer relationship as subscription SaaS plus services and consulting.
Traction
The company reports customer results including a 25% reduction in methane flaring alongside a 5% production increase for a leading U.S. gas producer, $100 million of value delivered in year one through production increases and operating cost reductions, and a major refiner moving from pilot to production in days. A private-market data profile lists roughly 40-42 employees, with headcount growing from 33 to 40 quarter over quarter as of mid-2026.
Latest developments
Geminus promotes partnerships with industrial companies including SLB to deploy its platform across complex infrastructure, and markets solutions spanning energy, nuclear power, renewable energy, data centers, electricity distribution, utilities, space and defense.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Operates in industrial and physics-informed AI alongside companies such as Basetwo AI, nybl and PredictiveIQ; positioned as moving industrial AI beyond pilots into live production operations, and states its platform is trusted and in use by some of the world's largest oil and gas companies.
Emphasizes physics-based modeling rather than purely data-driven pattern learning, delivery of recommendations with quantified uncertainty, rapid deployment into live operations, and measurable operational outcomes such as revenue gained, emissions reduced and downtime avoided rather than abstract capability benchmarks.
Technology
Physics-informed / physics-native machine learning that starts from first principles and fuses simulators, historical data, real-time sensor feeds and operational context, combining synthetic and measured data to produce explainable models with uncertainty qualification. The company cites model creation in hours versus months for traditional AI and execution about 1,000x faster than simulation, supporting real-time optimization and control across networked assets.
Go-to-market
Direct engagement with large industrial operators, with the company stating its platform deploys across entire systems in weeks and that a major refiner moved from pilot to production in days; distribution is also extended through partnerships with industrial companies such as SLB.
Operators of high-consequence physical systems, including oil and gas producers and refiners, energy and nuclear power, renewable energy, data centers, electricity distribution and utilities, space and defense.
Geography
United States; a portfolio listing gives headquarters in Palo Alto, California, while a private-market profile lists Boston, Massachusetts. Customers cited include U.S. gas producers and refiners as well as global oil and gas companies.
History
A private-market profile lists 2018 as the year founded and Greg Fallon as chief executive officer. The company was part of Third Derivative's Cohort 22-2 as an enabling software startup focused on climate innovation.
Compiled by commissioned research from 7 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
2 people who came through Geminus went on to found or lead other companies.
Timeline · 2
launches, deals, and filingsGeminus states it works with industrial partners such as SLB to deploy its physics-native AI platform across complex infrastructure.
Geminus.AI is listed in the Third Derivative climate-tech accelerator portfolio under the Enabling Software industry category, Cohort 22-2.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
▸Research sources · 7
primary sources listed
- Geminusgeminus.ai · web
7 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Geminus do?
- Geminus builds physics-native AI that optimizes high-consequence industrial systems in real time with uncertainty-qualified recommendations.
- Who founded Geminus?
- Geminus was founded by Karthik Duraisamy, Alex Gorodetsky in 2018.
- Who are Geminus's investors?
- Geminus's investors include Focal Ventures, Sentiero Ventures, The Hive.


