Roebling
4 known investors
Roebling provides integrated software for capital project teams to connect process models, cost estimates, and business cases in a single system. The platform enables teams to test assumptions and scenarios without rebuilding spreadsheets, serving engineering and project finance teams in capital-intensive industries.
Also known as Roebling
Founders & leadership

Investors Β· 4
Company profile
researched Aug 2026Roebling positions itself as an engineering services provider built around an AI-native, deterministic software platform for industrial infrastructure planning. It describes its core as a "world model" grounded in first-principles physics, in which AI assembles models and a solver computes results, with the stated aim of producing physics-based outputs rather than generative approximations. Instead of static engineering deliverables, the company delivers a dynamic model that updates as new data points arrive and progressively moves toward higher-accuracy estimate classes.
The company covers the full pre-investment sequence for capital projects: techno-economic analysis and unit economics at the R&D stage (FEL-0, AACE Class 5), feasibility studies and option screening (FEL-1, AACE Class 5-4), option selection and budget definition (FEL-2, AACE Class 4, FEED), and FID packages intended to be EPC-ready (FEL-3, FEED, AACE Class 3). Engagements are described as running on a platform, a centralized multi-domain data library covering thermodynamics, equipment costs, labor rates, utility costs and raw material pricing, and subject-matter expertise.
Roebling contrasts its model with traditional engineering firms on delivery (a shared live platform versus spreadsheets and hand-off deliverables), speed (weeks rather than months to a defensible number), scenario coverage (thousands of compared scenarios with traced uncertainty rather than a single case), change management (one update propagating everywhere) and traceability (every figure linked to its source).
Business model
Roebling combines software with expert engineering services, delivering project engineering packages through its platform rather than as static documents. It states that it prices by the deliverable rather than by billable hours, and calibrates scope to project uncertainty so effort is concentrated where risk is highest.
Engagements are priced per deliverable, in contrast to the billable-hour model the company attributes to traditional engineering firms.
Traction
Roebling states that it powers teams developing more than $16 billion of projects, and publishes testimonials from roles at an energy supermajor, an oil and gas supermajor, a Fortune 50 refining and chemicals company, a chemicals major, biotech and biomanufacturing firms, and a tailings redevelopment company.
βΈFull profile β market position, technology, go-to-market
Market position
The company presents itself as an alternative to traditional engineering firms and to fragmented process simulation tooling, noting customer statements that no single process simulator brings all required analysis together on one platform. It says it supports teams developing more than $16 billion of projects.
Differentiators cited include a live shared platform in place of disconnected spreadsheets and documents, deliverable-based pricing, first-draft turnaround in weeks, large-scale scenario comparison with traced uncertainty, single-point design basis changes propagating throughout the model, full traceability of every figure, subject-matter experts matched to the customer's process, and a built-in physics solver rather than incidental use of AI.
Technology
The platform is described as AI-native but deterministic, built on a first-principles physics core in which AI assembles the model and a solver computes results, which the company frames as avoiding hallucinated outputs. It is backed by a centralized library of thermodynamic data, equipment costs, labor rates, utility costs and raw material pricing, with every output linked to its source. The system supports instant adjustment of assumptions and side-by-side comparison of thousands of scenarios with uncertainty traced throughout.
Go-to-market
Roebling sells as an engineering partner engaged across project stages from first analysis to FID, using customer testimonials from capital projects, decision quality, R&D and project management leaders at large industrial and life sciences organizations.
Industrial and capital-intensive project developers, including R&D teams and technical founders needing unit economics, teams screening options before committing capital, project teams converging on a design, and teams preparing for final investment decision. Referenced customer roles come from an energy supermajor, an oil and gas supermajor, a Fortune 50 refining and chemicals major, a chemicals major, biotech and biomanufacturing companies, and a tailings redevelopment company.
Compiled by commissioned research from 1 cited public sources β 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 β not independently audited.
βΈResearch sources Β· 1
primary sources listed
- Roeblingroebling.co Β· web
1 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Roebling do?
- Roebling is an AI-native engineering firm and platform for planning industrial capital projects from R&D through FID.
- Who founded Roebling?
- Roebling was founded by Brentan Alexander.
- Who are Roebling's investors?
- Roebling's investors include Andreessen Horowitz, Giant Ventures Global Llp, Siddhi Capital, Zero Infinity Partners.
