Enlaye Raises $5M Seed to Bring Risk Intelligence to Construction

Enlaye, a Boston-based construction technology startup, has raised $5M in seed funding to expand its AI-native Risk Lifecycle Management platform for the built world. The round was led by Glasswing Ventures and Link Ventures, with participation from Imad Ventures, AiSprouts, Hannah Grey Ventures, and Apprentis Ventures.

Founded by Philippe Rival, Co-Founder & CEO, and Stamatios Liapis, PhD, Co-Founder & CTO, Enlaye helps contractors, owners, and developers identify, assess, compare, and manage project risk across the lifecycle of construction and infrastructure projects. The company uses graph-based AI approaches to understand relationships between project variables and surface risks before they become delays, disputes, or budget overruns.

The funding reflects a broader shift occurring across enterprise AI and industrial technology. Investors are increasingly backing companies that apply advanced AI to operational decision-making in large, historically under-digitized industries where better forecasting and risk visibility can have measurable economic impact.

What Happened

Construction remains one of the world's largest industries, but it is also one of its most unpredictable. Projects routinely encounter delays, budgets expand, documentation becomes fragmented, and risks often reveal themselves only after timelines and economics have already been affected. That reality created the opportunity Enlaye is pursuing.

The Boston-based company announced $5M in seed funding, led by Glasswing Ventures and Link Ventures, with participation from Imad Ventures, AiSprouts, Hannah Grey Ventures, and Apprentis Ventures. The new capital follows Enlaye's previously reported $1.7M pre-seed round, bringing total reported funding to at least $6.7M.

For Enlaye, the mission is straightforward: help construction stakeholders understand risk before risk becomes expensive. The company's AI-native Risk Lifecycle Management platform is designed for contractors, developers, owners, and infrastructure stakeholders that need better visibility into project uncertainty across planning, procurement, execution, and delivery. That sounds simple until you remember construction projects often involve hundreds of participants, thousands of documents, competing incentives, and enough moving pieces to make even experienced operators uncomfortable.

Why This Matters

The most valuable AI applications rarely start with AI. They start with a costly problem, which is precisely why construction risk management has become an attractive category for investors and operators alike. Construction has spent decades adopting new software systems while still struggling with many of the same risk-management challenges. Information lives in separate systems, decisions occur across disconnected teams, and small mistakes compound into large financial consequences.

Enlaye is targeting that gap. Rather than functioning as another project management tool, the company is focused on understanding the relationships between project variables and identifying where risk accumulates before it becomes visible to stakeholders. Many enterprise AI startups focus on productivity, while Enlaye is focused on prediction and decision quality. Productivity tools help teams move faster. Risk intelligence platforms help organizations avoid making expensive mistakes in the first place, which often creates significantly larger economic value.

Market Context

The construction industry has become one of the most active frontiers for applied AI. While generative AI continues to dominate headlines, a quieter trend is gaining momentum inside industrial sectors: domain-specific AI systems designed to solve operational problems rather than generate content. Enlaye operates at the intersection of construction technology, enterprise AI, and infrastructure risk management, placing it squarely within that trend.

Investors increasingly view these opportunities as attractive because they address measurable business outcomes. Reducing delays, minimizing claims, lowering cost overruns, and improving project certainty all have direct financial impact. That helps explain why capital continues flowing toward specialized enterprise AI platforms serving construction, infrastructure, manufacturing, logistics, and other operationally intensive industries.

Companies like Enlaye represent a broader movement toward operational intelligence. While much of the AI market remains focused on content generation and workplace productivity, a growing share of venture investment is targeting software that improves forecasting, planning, risk management, and decision-making in complex environments where mistakes are expensive.

The company joins a growing ecosystem of technology providers serving the built world, including platforms such as Procore, Autodesk Construction Cloud, Buildots, and OpenSpace, though Enlaye's focus remains centered on risk intelligence and predictive decision support.

The Founders Behind Enlaye

Startup origin stories often get polished into mythology. Enlaye's story is more interesting because it is unusually simple. Philippe Rival and Stamatios Liapis first met as students in Saint-Germain-en-Laye, France, before reconnecting years later in Boston.

Rival brought construction experience and business training through Harvard Business School. Liapis brought deep technical expertise, earning a PhD in Computational Neuroscience from Boston University School of Medicine and spending more than a decade working in AI and human cognition. The company's name itself references Saint-Germain-en-Laye, connecting the business to the place where the founders first met.

The company's journey includes participation in Harvard Innovation Labs, recognition through the Boston University New Venture Competition, and selection into the VINCI Leonard SEED Program. That detail feels small until you consider the company's core thesis. Enlaye is built around understanding relationships, dependencies, and connections across complex systems. In many ways, the origin story mirrors the product itself.

What This Signals

The Enlaye funding round says as much about venture capital as it does about construction technology. Enterprise AI investment is maturing, and the market is gradually moving beyond broad claims about artificial intelligence toward measurable business outcomes. Investors increasingly want software tied directly to operational performance, financial impact, and decision quality.

Construction presents a particularly attractive opportunity because inefficiencies remain widespread and the economic stakes are substantial. Companies that can improve risk visibility, forecasting accuracy, and project execution stand to create meaningful value for owners, contractors, and developers alike.

Enlaye's latest financing suggests investors believe the company has an opportunity to become part of that transformation. Whether the broader market follows will ultimately depend on a principle every construction executive understands well: predictions only matter when they improve outcomes.

The Bigger Industry Shift

Enterprise AI is entering a new phase. The first wave focused heavily on content generation. The next wave is increasingly focused on operational intelligence, where AI helps organizations make better decisions rather than simply create more information.

Industries like construction generate enormous volumes of data but often struggle to convert that information into actionable insight. Companies like Enlaye are betting that the next competitive advantage will come from understanding relationships, dependencies, and risks before they materialize. That shift extends beyond construction into infrastructure, logistics, manufacturing, energy, and other operational sectors.

The winners may not be the companies building the loudest AI products. They may be the companies quietly helping businesses make better decisions when the stakes are highest.

Frequently Asked Questions

What is Enlaye?

Enlaye is a Boston-based construction technology company that develops an AI-native Risk Lifecycle Management platform for contractors, developers, owners, and infrastructure stakeholders.

How much funding has Enlaye raised?

Enlaye has raised at least $6.7M in reported funding, including a $1.7M pre-seed round and a $5M seed round.

Who founded Enlaye?

Enlaye was founded by Philippe Rival, Co-Founder & CEO, and Stamatios Liapis, PhD, Co-Founder & CTO.

What problem does Enlaye solve?

Enlaye helps contractors, developers, and project owners identify and manage construction risks before they lead to delays, disputes, or cost overruns.

Who invested in Enlaye's seed round?

Glasswing Ventures and Link Ventures led the round, with participation from Imad Ventures, AiSprouts, Hannah Grey Ventures, and Apprentis Ventures.

What industry does Enlaye operate in?

Enlaye operates in construction technology, enterprise AI, infrastructure technology, and risk management software.

Why is AI becoming important in construction?

AI helps construction teams improve forecasting, identify project risks earlier, reduce costly mistakes, and improve operational decision-making.

What is construction risk intelligence?

Construction risk intelligence uses software and data analysis to identify, assess, and manage project risks across planning, procurement, execution, and project delivery.