Augmenta ✓

Augmenta is a Toronto-based spatial AI company that automates the design and routing of MEP (mechanical, electrical, plumbing) systems, with its currently shipping flagship product -- ACP Electrical -- focused specifically on automating electrical system design inside Autodesk Revit. Rather than an engineer manually routing conduit and placing equipment run by run, Augmenta's AI generates fully populated, coordinated 3D electrical models before human coordination review even begins, aiming to compress a process that traditionally takes weeks into hours.

The company was founded by Francesco Iorio (CEO), Davide Panelli, Massimiliano Moruzzi and Aaron Szymanski, with Iorio's background specifically in generative design for advanced manufacturing -- a discipline focused on using computational and AI methods to generate and optimize complex physical designs, which maps directly onto Augmenta's pitch of applying similar generative techniques to building MEP systems. Augmenta has raised a total of roughly $37.5 million CAD across multiple rounds, including a $5.3 million CAD seed round in 2022, a $15.6 million CAD seed extension in 2023, and further seed funding announced in 2025.

The most concrete, independently reported evidence of Augmenta's real-world impact is a September 2026 case study with E-J Electric Installation Co., a 127-year-old electrical contractor headquartered in Long Island City, New York: on a 1.1 million square foot hyperscale data center project, E-J Electric completed initial electrical model population 8.5x faster using Augmenta's platform -- work that would normally take approximately 693 hours was completed in roughly 82 hours.

Augmenta's target project types are deliberately chosen for where AI-driven routing pays off most: data centers, hospitals, and schools -- large, complex, MEP-intensive building types where even small coordination delays translate into meaningful cost and schedule risk, and where the platform's ability to route "miles of conduit in one shot" on complex builds offers the clearest return relative to manual modeling effort.

The company frames its ambition explicitly as building "the foundation model for construction" -- language borrowed directly from the large-language-model world, signaling that Augmenta sees its proprietary spatial AI engine as a general-purpose base capability for understanding and generating physical building systems, with electrical routing as the first commercially proven application of that broader engine rather than the whole of the company's technical ambition.

The product roadmap extends beyond electrical: Mechanical and Plumbing modules are listed as "coming soon" on Augmenta's own site, signaling an intent to cover the full MEP scope over time rather than remaining a single-discipline point solution indefinitely. Pricing is not publicly published; interested firms need to contact sales directly for a quote.

Editor’s takeBIM•STACK editor's take: Augmenta's E-J Electric case study is a genuinely strong, specific, independently reported proof point -- an 8.5x modeling-speed improvement on a real 1.1M sq ft hyperscale data center project is a concrete, verifiable claim rather than a vague marketing figure, and that specificity is rare in the AI-construction-tools category. The honest caveat is that Augmenta is currently a single-discipline (electrical) tool inside a single host platform (Revit), so firms should evaluate it as a targeted MEP-coordination accelerator for large, complex projects specifically, not yet a full multi-discipline MEP design platform -- that broader scope is still on the roadmap, not shipping today.

Because Augmenta runs as a plugin inside Autodesk Revit, electrical engineers and VDC teams already fluent in Revit face a relatively contained learning curve -- the core modeling environment is unchanged, and the new skill is learning to review, adjust and validate AI-generated routing rather than learning an entirely new authoring platform from scratch. That's a meaningfully lower barrier than adopting a standalone new BIM tool.

The deeper adjustment is process and trust-based rather than purely technical: teams need to develop confidence in reviewing AI-generated, fully populated electrical models rather than building them incrementally by hand, which is a different quality-assurance mindset than traditional manual modeling -- reviewing and validating a complete AI-generated model efficiently is itself a skill that develops with sustained use.

VDC managers coordinating the shift also need to plan for a genuine change in team staffing and task allocation: as routing itself becomes largely automated, the highest-value work shifts toward reviewing, adjusting edge cases, and coordinating with other disciplines rather than the routing labor itself, which can represent a real role-redefinition conversation for existing electrical modeling staff rather than a purely additive tool adoption.