The construction industry generates trillions in annual output, yet the process of finding and winning new projects remains stubbornly analog. Cascade wants to change that, and it just raised $3.5 million in seed funding to do it.
Who's Backing It
The round was led by a16z Speedrun, Andreessen Horowitz's early-stage accelerator program, with participation from Ada Ventures and Snowball VC. The involvement of a16z Speedrun is notable — the program has a track record of backing infrastructure and vertical SaaS plays that target large, underdigitized industries.
The Problem Cascade Is Solving
For most construction firms — especially small and mid-size contractors — identifying which projects to bid on is a fragmented, time-consuming process. Relevant opportunities are scattered across municipal procurement portals, private developer pipelines, and industry databases. Firms often miss bids entirely, or spend hours vetting projects that turn out to be a poor fit.
Once they do find a project, crafting a competitive bid is its own challenge. Pricing strategy, subcontractor coordination, and proposal quality can make or break a win — and most firms lack the tools to do this systematically.
Cascade is building an AI layer on top of this workflow:
- Project discovery: Aggregating and surfacing relevant opportunities based on a firm's capabilities, geography, and past work
- Bid intelligence: Helping firms assess their likelihood of winning and refine proposal strategy
- Pipeline management: Tracking active bids and outcomes to improve future decision-making
Why This Market, Why Now
Construction tech has attracted serious capital over the past few years, but much of it has flowed into on-site productivity tools — drones, sensors, project management software. The pre-construction and business development side of the house has received comparatively little attention.
That gap is exactly where Cascade is planting its flag. With AI models now capable of processing large volumes of unstructured procurement data and drawing meaningful patterns from historical bid outcomes, the timing for an intelligent business development layer finally makes sense.
The startup was co-founded by Hannia Zia and Joana Ferreira, whose backgrounds position them to navigate both the technical and industry-specific challenges of the space.
What This Means for the Market
For construction firms, particularly those competing in public procurement where margins are tight and competition is fierce, tools that improve bid selection and win rates can have an outsized bottom-line impact. Even a marginal improvement in bid-to-win ratio — say, winning one more project per quarter — can represent hundreds of thousands of dollars in additional revenue for a mid-size contractor.
For founders watching this space, Cascade is a useful case study in vertical AI: taking a workflow that exists in a specific industry, identifying where the friction is highest, and applying AI not as a novelty but as a genuine efficiency multiplier.
Competitors in adjacent spaces include platforms like BuildingConnected (now part of Autodesk) and SmartBid, but Cascade appears to be differentiating on AI-native architecture and a tighter focus on the discovery and strategy phases rather than just bid management.
With $3.5 million in the bank and strong early-stage backers, Cascade now has the runway to prove that construction firms will pay for smarter ways to find and win work — not just manage it once they have it.
