Analysis
Newforma, a project and information management platform for architecture, engineering, construction and owner firms, has acquired Toronto-based AI analytics startup Lumi AI on undisclosed terms, according to TechUpscale.
The deal adds to a string of AI-analytics acquisitions across vertical software this year, as incumbent platforms race to add semantic or agentic layers rather than build them from scratch.
Lumi AI, founded in 2023, builds an analytics engine that creates a semantic layer over operational systems β meaning it interprets what data means rather than simply where it is stored. The product asks clarifying questions when prompts are vague, shows its reasoning, and flags data quality problems before they reach a user.
βNewforma, which is owned by Ethos Capital and led by CEO Peter Cannone, supports more than 4.5 million users across more than 20 million projects.β
What does Newforma get from Lumi that it didn't already have?
Newforma, which is owned by Ethos Capital and led by CEO Peter Cannone, supports more than 4.5 million users across more than 20 million projects. It introduced an AI assistant called Vojo in May 2026, and Lumi's technology will extend both Vojo and the smart project dashboards inside Newforma's Konekt product.
Lumi co-founder and CTO Tudor Boiangiu is joining Newforma as VP of AI Engineering, and the Toronto engineering team will continue building from its existing office rather than relocating.
The AEC software market Newforma competes in is dominated by larger platforms like Procore and Autodesk Construction Cloud, both of which have been building or acquiring their own AI analytics layers. Newforma has not disclosed what it paid for Lumi, which makes it difficult to judge whether this was a defensive move to keep pace with larger rivals or a genuine technology differentiator β a gap that will only become clear once Lumi's features actually ship inside Newforma's products.
Newforma says any AI used in project decisions must be explainable and verifiable against source data given the liability involved in construction projects β a bar that is higher than most consumer AI tools need to clear.