Akselos
Founded 2012 · 140 employees on LinkedIn · 6 known investors
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Akselos provides SPM (Structural Predictive Maintenance) technology that models how operational decisions like ramp rates and startup/shutdown procedures affect stress, fatigue accumulation, and brittle fracture risk in refinery reactors. It serves petrochemical and refinery operators aiming to run faster cycles while maintaining structural integrity and uptime.
Also known as Akselos SA
Founders & leadership
Akselos was founded in 2012 by Thomas Leurent.
Investors · 6
Company profile
researched Aug 2026Akselos develops Structural Performance Management (SPM) software that continuously calculates the structural performance of critical industrial equipment from real-time operating data. The stated aim is to let operating teams increase throughput, reduce downtime and extend asset life while remaining within safe structural limits. The product builds a "live structural twin" of an asset from data customers already hold — engineering drawings, sensor feeds, inspection records and historian data — without requiring new sensors or hardware, and delivers live visualization, reporting and API integrations.
The core of the offering is Reduced-Basis Finite Element Analysis (RB-FEA), a patented method originating from MIT and EPFL that, per the company, re-solves model changes in seconds rather than the hours or days required by conventional simulation, running roughly 1,000x faster and at 30-50x scale while remaining within 1% of full finite element analysis accuracy. Akselos positions this "physics-based AI" against pattern-based machine learning, arguing that a physics engine grounded in engineering codes and standards such as ASME, API 579 and class-society requirements produces explainable results that hold up in operating conditions absent from historical data.
SPM is presented as an operating layer that sits alongside existing industrial systems, including data historians, APC/RTO, MES, planning and scheduling, asset performance management and generic AI tools, and informs decisions on throughput, asset life, CAPEX timing and risk.
Business model
Enterprise software sold to owner-operators of large industrial assets, deployed on top of a customer's existing data and system stack; the site directs prospects to request a demo.
Traction
Publicly cited deployments include Shell's Pearl GTL, a World Economic Forum Global Lighthouse site, where the structural twin supported a six-year extension of critical asset life with stated 64% annual capital savings; Shell's Bonga FPSO, where hull fatigue analysis narrowed roughly 15,000 potential hotspots to 230 and is credited with a 33% OPEX reduction; and Adriatic LNG, where one open-rack vaporizer was re-rated live for 10% additional throughput, with up to EUR 32 million in deferred CAPEX if all four are re-rated.
Latest developments
Akselos is promoting independent research conducted by Verdantix on its behalf, dated 2026, covering 40 industrial leaders, alongside a white paper on how SPM accelerates industrial decision-making and an upcoming webinar featuring a Verdantix analyst and Akselos's Oz Rodriguez.
▸Full profile — market position, technology, go-to-market
Market position
Positions itself as the definer of a Structural Performance Management category and of "AI for structural integrity" (AI4SI), differentiated from asset performance management and generic AI analytics tools that it says sit elsewhere in the customer stack.
Akselos contrasts its physics-based engine with generic AI that learns only from historical data: it claims explainable predictions traceable to physical behavior, grounding in established engineering codes (ASME, API 579, class-society rules), and validity under operating conditions not represented in past data, plus speed sufficient for real-time use.
Technology
Patented Reduced-Basis Finite Element Analysis (RB-FEA) developed from MIT and EPFL research, used to create live structural twins that re-solve model changes in seconds — about 1,000x faster and at 30-50x the scale of conventional simulation, within 1% of full FEA accuracy — with compliance to API 579 and ASME. Inputs include drawings, sensor data, inspections and historian records; outputs cover fatigue and cracking, buckling and remaining useful life.
Go-to-market
Direct enterprise sales supported by demo requests, reference deployments on live assets, analyst-backed content (a commissioned Verdantix study of 40 industrial leaders), white papers, webinars and a company blog.
Operators of large, safety-critical industrial equipment, including LNG terminals, gas-to-liquids plants, offshore FPSOs and refinery and petrochemical assets; cited deployments involve Shell and Adriatic LNG facilities.
Compiled by commissioned research from 1 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.
▸Research sources · 1
primary sources listed
- Akselosakselos.com · web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Akselos do?
- Akselos sells Structural Performance Management software that computes critical equipment integrity in real time using physics-based simulation.
- Who founded Akselos?
- Akselos was founded by Thomas Leurent in 2012.
- Who are Akselos's investors?
- Akselos's investors include Alumni Ventures, Basecamp Fund, Castor Ventures (an Alumni Ventures Fund), Elewit, Future Energy Ventures, GRO Capital.