Cascade Raises $3.5M to Help AEC Firms Find Tomorrow's Projects Before Everyone Else

Cascade, a New York-based AI startup serving architecture, engineering, and construction firms, raised $3.5M to expand software that helps customers identify and win projects before they become widely visible. The round included Andreessen Horowitz Speedrun, Ada Ventures, Blitzscaling Ventures, Índico Capital Partners, shuckerVC, G2C Ventures, and Snowball VC, with no formal lead investor disclosed.

When people think about construction, they picture cranes, concrete, and hard hats. The real battle starts long before any of that, inside the information gap around who sees a project first, who understands it fastest, and who can submit the strongest proposal before the market notices the opportunity. That is where Cascade has chosen to compete.

The company is building AI software for architecture, engineering, and construction firms, a market where project intelligence remains scattered across permits, bond filings, government meeting minutes, capital improvement plans, property records, and relationship networks. In an industry that is enormous, operationally complex, and still underserved by enterprise software, the ability to turn fragmented public signals into business development intelligence is not a nice-to-have. It is the difference between chasing work and seeing it early.

What Happened

Cascade announced the $3.5M funding round on July 21, 2026. Investors include Andreessen Horowitz Speedrun, Ada Ventures, Blitzscaling Ventures, Índico Capital Partners, shuckerVC, G2C Ventures, and Snowball VC. The company identified the investor group but did not disclose a formal lead investor or assign a specific financing stage.

The company plans to use the capital to accelerate product development, expand customer adoption, and deepen its network across the AEC industry. Cascade's platform predicts upcoming construction projects before they are publicly announced, matches firms with work they are well positioned to win, helps automate proposal writing, and reviews project specifications for issues that can weaken a bid. For firms that still rely on disconnected public records, manual searches, and slow proposal cycles, the platform targets the moment when a missed signal becomes a missed contract.

Why Cascade Matters

Construction has never lacked opportunity. It has lacked visibility, timing, and effective coordination across the many stakeholders shaping a project before a bid package reaches a desk. The companies that consistently win large contracts are often those that identify opportunities earlier, assemble the right partners faster, and submit stronger proposals with fewer mistakes.

Cascade says its platform surfaces more than $120M in additional project opportunities each month for customers. The company has also highlighted a customer example in which its software helped uncover and win a $6M project that otherwise would have remained hidden among fragmented public sources. That kind of outcome helps explain why investors continue moving beyond consumer AI and into software that improves operational decision-making within large legacy industries.

Why the Founders Were Positioned to Build This

Cascade was founded in 2025 by Hannia Zia, CEO, and Joana Ferreira, CTO. Zia previously helped scale Google Pay India from zero to more than 100M users before leading product at UnlikelyAI, while Ferreira built machine learning systems at Amazon, Google Search, and Freetrade before leading AI platform development at UnlikelyAI. Their combined product and AI engineering experience matters because Cascade is not selling generic automation into construction. It is building a system that understands how project signals, firm capabilities, proposals, and partnerships connect.

The founder-market fit also has a personal dimension. Ferreira grew up around construction and carpentry, while Zia's family experienced firsthand how difficult construction procurement can be. Sometimes founders do not invent markets; they recognize an inefficiency everyone else has learned to tolerate.

The Product Is Really About Signal Detection

Cascade's product starts from a simple premise: future construction activity leaves a trail before it becomes an obvious opportunity. Permits are filed, land changes hands, municipal budgets shift, infrastructure plans move through committees, bond measures appear, and capital projects receive approval long before many firms know where to look. Cascade organizes those signals into actionable intelligence for AEC companies deciding which opportunities are worth pursuing.

The current and planned product set extends well beyond project discovery. Cascade describes government project discovery, proposal writing, project specification analysis, pre-bid intelligence, private market signals, bid leveling, and team matching as parts of a broader workflow. That makes the company more compelling as a business development platform than as a standalone point solution. The broader opportunity is helping firms move from reactive bidding to proactive opportunity strategy.

The Network Effect May Become Cascade's Bigger Bet

Many AI products improve individual productivity, but Cascade becomes more valuable as more firms participate. Each additional customer can strengthen signal detection, improve opportunity matching, and create more possibilities for collaboration between firms pursuing larger contracts together. That kind of network effect is unusual in construction software, where many tools still operate as isolated workflow systems.

If Cascade continues improving the quality of its matching layer, the company has a path toward becoming connective infrastructure across parts of the AEC ecosystem. That would place it in a stronger category than proposal automation alone. The larger opportunity is helping firms understand where future demand is forming and who they should partner with to win it.

What This Funding Signals

Cascade's funding reflects a broader shift in enterprise AI, where investors are backing companies that convert messy industry data into practical operating advantages. The AEC market is large, fragmented, and filled with workflows where timing, relationships, and overlooked signals carry real economic value. A company that helps firms identify tomorrow's projects before competitors recognize them is not simply making search easier. It is changing when business development begins.

The next question is whether Cascade can continue turning early signal detection into measurable customer outcomes as it scales. The company says it already serves approximately 20 clients, including recognizable customer organizations, with meaningful opportunity volume flowing through the platform. If those proof points continue compounding, Cascade's $3.5M funding round may ultimately look less like a modest financing and more like an early marker for how AI begins reshaping construction business development.