Boarding Pass
Fixing “a fundamental gap in construction”: Constrol aims to turn building plans into computable financial models
Having already supported over $50 billion in project evaluations, the Israeli ConTech startup is banking on deep-tech execution to solve a structural gap in construction by turning building data into precise financial models.
When CEO Gal Polivoda was leading a large bid department at a construction company on a complex public sector project it led to the realization of “a fundamental gap in construction,” explains Constrol. “Once the BIM was completed, it was still impossible to extract an accurate bill of quantities for financial estimation.”
In contrast, “Constrol turns buildings into computable financial models, enabling fast, accurate, and lower risk estimation at scale and ultimately lowering construction costs.”
Constrol adds: “To date, the platform has supported estimated projects with a cumulative value of over 50 billion dollars across Israel, Europe, and the United States.”
You can learn more about the company below.
Company Name: Constrol
Sector: ConTech
Product/Service description:
Constrol is a ConTech company improving how construction projects are priced and financially managed.
In today’s construction industry, pricing and budgeting are often based on manual work, spreadsheets, and incomplete information. Cost estimates take time to prepare, are hard to update when plans change, and make it difficult for developers and contractors to create offers quickly or compare options with confidence.
Constrol is developing an AI-based platform that turns architectural plans and BIM (Building Information Modeling) data into clear, structured financial information. In its early stages, the platform focuses on fast, high-level cost estimations that support early price offers and planning decisions. These tools are designed to help teams understand costs sooner and reduce uncertainty at the start of a project.
The ROI is significant: developers often overpay by 20 to 30% due to inaccurate quantities, limited bidding access, and late changes. In one U.S. project, improving quantity takeoffs by around just 5% led to approximately $1.75M in savings.
Over time, Constrol plans to expand into more detailed quantities, bills of quantities (BoQs), and continuously aligned budgets as designs evolve. The long-term vision is to become a single financial system for construction – covering estimation, offer creation, and ongoing financial management – making projects easier to plan, price, and deliver.
Founder Bios:
Gal Polivoda (founder and CEO) is an industrial engineer and former senior executive in the construction industry, with deep experience in construction bids, financial control, and subcontractor management. He held executive roles at leading Israeli construction companies, including Ashtrum and Malibu, where he led pricing, budgeting, and financial operations on large-scale projects. Gal brings hands-on expertise in how construction offers are built and executed, combining engineering depth with practical financial leadership.
Tomer Ben Ari (CTO) is a seasoned technology executive and CTO with over 20 years of experience building and scaling AI-powered SaaS platforms. He has held senior leadership roles at companies including Constrol, Gefen Technologies, and Barclays, leading product, engineering, and operations across fintech, banking, and enterprise software. Tomer specializes in turning complex technology into revenue-generating products, building global teams, and driving execution from early-stage growth through scale.
Year of Founding: 2021
Last Investment Round: $500K (GC Ventures)
Last Investment Stage: Seed
Date of Last Investment: 04/01/2025
Total investment to date: $1.05M
Investors: SHAPIR, GC Ventures
Current number of employees: 20
Open positions: N/A
Website: https://www.constrol.com
Social Media: LinkedIn, YouTube
How was the idea born?
One defining moment came when Polivoda led a large bid department at a major construction company on a highly complex public sector project. The client required all bidders to submit a full BIM model, which at the time was considered a highly advanced digital requirement.
Every contractor delivered a detailed model. But surprisingly, once the BIM was completed, it was still impossible to extract an accurate bill of quantities for financial estimation.
Despite having a full digital building, pricing remained manual. Teams had to go back to drawings, spreadsheets, and risk assumptions to build the financial model.
That experience exposed a fundamental gap. The industry had learned how to model buildings visually, but not how to compute them financially. That insight became one of the foundations of Constrol.
What is the need for the product?
The need for the product comes from a fundamental gap in construction.
Buildings are designed digitally, but they are not financially computable. The engineering intent is scattered across hundreds of documents, and contractors still rely on manual quantity takeoffs, spreadsheets, and assumptions to price projects.
This creates slow processes, pricing inaccuracies, and embedded risk that ultimately increases construction costs.
Constrol turns buildings into computable financial models, enabling fast, accurate, and lower risk estimation at scale and ultimately lowering construction costs.
How is it changing the market?
Constrol changes the market by moving construction pricing from manual estimation to computation.
Instead of relying on assumptions and risk buffers, contractors and developers work with verified, structured financial models derived directly from the building data.
This reduces uncertainty, shortens bid cycles, improves margin visibility, and lowers overall construction costs.
It shifts the industry from pricing risk to pricing reality.
How big is the market for the product and who are its main customers?
The global construction market exceeds 13 trillion dollars annually, making it one of the largest industries in the world.
Constrol operates at the intersection of budgeting, bidding, and financial management within this market. Our primary customers are large developers, general contractors, and subcontractors managing complex, capital-intensive projects.
These players carry significant financial risk during estimation and procurement. By turning buildings into computable financial models, Constrol enables more accurate pricing, lower risk, and better capital allocation across the project lifecycle.
Does the product exist already? If not - at what stage is it and when is it expected to hit the market?
Constrol is already live and being used in active projects by construction companies today.
Core capabilities such as engineering reconstruction, quantity extraction, and structured financial modeling are operational, while automation, AI accuracy, and scalability continue to improve.
To date, the platform has supported estimated projects with a cumulative value of over 50 billion dollars across Israel, Europe, and the United States.
Who are the main competitors in this sector and how big are they?
The main competitors fall into two categories.
First, large construction software platforms such as Procore and Autodesk Construction Cloud, which generate hundreds of millions to billions in revenue annually. These platforms manage projects and documents but do not provide true computational financial modeling of buildings.
Second, estimating and takeoff tools such as Bluebeam, PlanSwift, and STACK, along with newer AI-driven startups. These companies help extract quantities faster, but pricing still relies heavily on manual workflows.
Constrol operates at a different layer. Instead of assisting estimation, it reconstructs the building into a computable financial model, enabling structured, lower-risk pricing derived directly from engineering data.
What is the added value that the founders bring to the company and the product?
Polivoda brings years of experience managing large bid departments and financial operations in major construction companies, with firsthand knowledge of how pricing, risk, and subcontractor negotiations actually work.
Ben Ari brings the technical vision and execution capability to translate these industry pain points into a scalable, computational infrastructure.
Together, they unite industry insight, financial understanding, and deep-tech execution to address a structural gap in construction.
What will the money coming in from the round be used for?
The capital from the round will primarily be used to accelerate R&D and AI development, expand the engineering team, and strengthen product scalability.
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