ORIS is the only sustainability platform purpose-built for linear infrastructure.
We integrate directly into BIM environments and leading design software (including any BIM format and Autodesk Civil 3D and Revit) so engineers can turn days of manual LCA work into hours and get compliance-ready carbon calculations without leaving their design tools.
Built on a science-backed LCA methodology (EN 17472, EN 15804, PAS 2080-compliant), ORIS helps firms reduce project emissions by up to 50% and material costs by up to 30%. ORIS also offers tech-enabled services on topics such as infrastructure climate resilience.
Deployed at scale by Ramboll throughout Europe, AECOM (£1M savings on a single project), Sweco (90% time saved on pavement design), and dozens of Europe's Tier 1 engineering consultancies and contractors.
Founded in 2021 in Paris, ORIS has raised a Series A round of €3M from Liberset. Built by a team of industry veterans, researchers and engineers on a mission.
Rating Reviews
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Pros: Working at ORIS Materials Intelligence has been a great experience. The company is at the forefront of materials informatics, and the projects are genuinely innovative, offering significant learning opportunities. The team spirit is strong, and colleagues are always willing to help. The flexibility with remote work is a big advantage, making it easier to balance personal life and professional duties. It's a good environment for anyone passionate about AI in materials science.
Cons: While the work is engaging, sometimes project scope can be a bit undefined, leading to occasional shifts in direction. Communication on strategic decisions could be more transparent. Pay and benefits, while decent, might not be as competitive as some larger tech firms in the broader industry.
Advice to Management: Consider clearer roadmaps for projects and more frequent, transparent communication regarding company strategy to further boost team alignment and engagement.
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Common Questions About
ORIS Materials Intelligence
What's the hiring process like for a Data Scientist role at ORIS Materials Intelligence, a mid-sized company in the materials science industry?
The hiring process for a Data Scientist at ORIS Materials Intelligence was thorough; it involved an initial screening, a technical interview focused on Python and machine learning, and a final interview with the hiring manager. They really assess your fit for their specific challenges in the materials science sector.
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