Before a single beam is placed or a wire is run, building design engineers are buried in paperwork. The pre-construction phase is a thicket of technical documentation, bid assessments, and contractor comparisons. Temelion, a Paris-based startup founded in 2025, is betting that AI can clear that thicket, automating the administrative overhead so engineers can focus on design. With a €3.2 million seed round led by 360Capital, the company is building a platform to serve as the first layer of intelligence for engineering consultancies [tech.eu, September 2025].
The wedge in pre-construction
Temelion's product targets a specific, document-heavy workflow. Its AI platform is designed to automate the generation of technical documentation, perform initial bid/no-bid assessments, compare contractor proposals, and produce trade-specific deliverables for Mechanical/HVAC, Electrical, and Plumbing systems [tech.eu, September 2025]. The wedge is straightforward: replace hours of manual compilation and review with a system that ingests project data and outputs structured, actionable summaries.
A team built for execution
The founding trio brings a track record of serial entrepreneurship, with five prior startups and three exits between them [Welcome to the Jungle, 2025].
| Founder | Role | Key Background |
|---|---|---|
| Rodolphe Héliot | CEO | Serial entrepreneur; decades in high-growth companies; based in Toulouse [tech.eu, September 2025][LinkedIn, 2026] |
| Jérôme Joaug | Chief Product Officer | Entrepreneur and investor; Director at Nymbly; MPhil from Cambridge [RocketReach, 2026] |
| Sébastien Gilles | Chief Technology Officer | Co-founder with technical leadership role [Startup Intros, 2025] |
This background is complemented by a consortium of European investors with sector expertise. The seed round was co-led by 360Capital and ISAI Build Venture, with participation from SE Ventures and Kima Ventures [tech.eu, September 2025].
The scale and skepticism test
For an infrastructure tool, the technical breakdown is less about algorithms and more about integration and accuracy. The platform's value hinges on its ability to connect to industry-standard design and project management software. The risks are clear:
- Adoption friction. Convincing seasoned engineers to trust an AI with pre-construction diligence requires demonstrable, faultless accuracy.
- Defensibility. The core automation could be replicated by larger construction software incumbents.
- Go-to-market pace. The estimated headcount of 1-10 employees suggests a very lean operation [PitchBook, 2025].
The €3.2 million seed provides a solid runway to address these challenges. The next twelve months will be about moving from a promising wedge to a validated workflow. Success looks like a shortlist of named engineering firms that have integrated Temelion's output into their standard operating procedure.