LeanCon

AI-powered platform automating construction planning and bidding from 8 months to 7 minutes. Turning 2D/3D models and RFPs into optimized cost, schedules, means & methods, and logistics plans.
99%

faster pre-construction workflow (7 minutes vs months)

20%

faster execution timelines and reduced cost

100x

increase in annual project pipeline capacity

Solution Overview

for

Public owners / contracting authorities, Private developers, General contractors, Designers / engineers / consultants, Investors / lenders

Pre-construction planning requires critical decisions on optimizing schedules, costs, execution methods, crane layouts, logistics, manpower, and more. Every variable directly impacts the others, creating a complex matrix of choices that is nearly impossible for human planners to optimize manually.


Simultaneously, bidding teams spend months analyzing hundreds of opportunities, yet win only ~8% of bids due to fierce competition. Worse, overlooked planning errors are often discovered during execution, when changes cause severe budget overruns and delays.


For developers, planning mistakes and delayed schedules severely cripple time-to-market. Extended timelines directly inflate financing costs, delay asset monetization, and drastically reduce ROI before ground is even broken.
Relying on manual analysis and intuition forces companies to guess rather than optimize, causing over $177B in annual industry losses due to inefficient planning and delayed delivery.

Our Solution:

LeanCon builds the first pre-construction engineering team created by AI. We automate project planning for general contractors and developers, transforming the way construction projects are analyzed, bid, and planned, from 8 months into a 7-minute workflow.


By fully automating the pre-construction process (including initial analysis, bidding, and value engineering), LeanCon enables its users to plan 100x more projects annually and win more bids with 90% accuracy, 20% faster schedules, and significantly lower costs.


Leveraging advanced AI and machine learning that process 3D models/2D drawings (detailed or conceptual) and RFP documentation, LeanCon creates millions of scenarios and optimizes every critical variable to deliver a fully integrated execution strategy. Our engine generates optimized schedules, cost estimations, means & methods, cranes layouts, logistics plans, manpower allocations, and more, turning raw data into high-precision, winning bids ready for immediate execution.

How it works:

LeanCon offers a breakthrough, patented technology powered by strictly proprietary AI models developed entirely in-house. Our platform is the only solution that automatically optimizes construction logic, schedules, budgets, means & methods, crane layouts, and logistics simultaneouslyтАФwith zero human intervention required.
By moving away from third-party wrappers and legacy software, our proprietary engine evaluates millions of interconnected scenarios in real time. This allows general contractors and developers to plan 100x more projects annually, submit higher-precision bids, and dramatically compress timelines before ground is broken.

Classification & Use Cases

Lifecycle stage(s) addressed:

Planning & design (BIM, design tools, permitting, simulation, etc), Preconstruction & procurement (estimating, tendering, supply chain, marketplaces), Industrialized construction (modular, prefab, 3D printing, advanced materials)
Fintech / Insurtech applied to construction / real estate

Core technology types:

AI / machine learning, Cloud / SaaS platform
Key use cases in practice:
Automated Pre-Construction Planning for a 60-Story Residential Tower in Manhattan, NYC For a leading general contractor (top10 ENR list) leveraged LeanCon to automate the entire pre-construction and bidding process for a high-density, 60-story skyscraper in Manhattan. By processing 3D BIM model and RFP documentation, LeanCon’s engine simulated millions of execution scenarios in real time. Replacing months of manual analysis, the platform generated a fully integrated execution strategy. This included optimized construction logic, detailed schedules, cost estimations, crane layouts, site logistics, means & methods, and manpower allocations. The automated workflow eliminated human bottlenecks, provided high-precision cost and time estimates, and delivered a winning, bid-ready package ready for immediate site execution.
Pre-Construction Optimization for a 20-Story Residential Building in the Netherlands. The NetherlandsтАЩ leading general contractor partnered with LeanCon to streamline pre-construction for a modern, 20-story residential complex under tight urban and environmental constraints. LeanCon processed BIM models and RFP specs to evaluate millions of execution scenarios. In under 7 minutes, the AI engine determined the optimal construction method, precise crane selection and placement (number and locations), site logistics, and facade installation strategy. Replaced months of manual estimation with an automated, bid-ready plan. The builder submitted a highly competitive bid, compressed the project timeline by 20%, and mitigated site execution risks before project began.

Maturity & Traction

Stage
Early commercial (1тАУ10 customers)
Customers
9
Regions
Europe and Central Asia (ECS), Middle East, North Africa, Afghanistan and Pakistan (MNA / MEA), North America (NAC)

Main:┬а

US, Netherlands, Israel
Team
6тАУ15

employee(s)

Gilbane NYC (US) Van Wijnen (NL) Almog Group (IL)

Impact & SDGs

Contribution to any of the 17 Sustainable Development Goals:
Quality Education, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Climate Action, Partnerships for the Goals:
Industry, Innovation and Infrastructure: We bring cutting-edge innovation to the construction sector through patented, in-house AI models. By digitizing and automating complex multi-variable engineering logic, LeanCon sets a new benchmark for smart, resilient, and data-driven infrastructure and building delivery.
Decent Work and Economic Growth: LeanCon drastically reduces human burn-out in pre-construction by automating months of manual planning into a 7-minute workflow. By eliminating costly errors and delays, we enable contractors to win more bids, scale project capacity 100x, and drive sustainable profitability.
Reduced Inequalities: LeanCon democratizes high-precision engineering expertise. By providing an automated AI engineering team, we level the playing field, allowing mid-sized general contractors and regional developers to compete effectively against industry giants on complex, large-scale projects.
Climate Action: By optimizing construction logic, crane placements, and logistics before ground is broken, LeanCon minimizes site reworks and material waste. Compressed construction schedules and optimized heavy machinery usage directly reduce jobsite fuel consumption and carbon emissions.
Main impact areas
Productivity / cost efficiency

Ziv Levi

CEO and Founder
Funding status:
Series A
Participation if invited:

Team & Organization

Founding team:
Ziv Levi – CEO & Cofounder Ziv’s passion for construction started at the age of eight when he began working on construction sites with his father during summer breaks. As a project engineer overseeing a diverse portfolio of complex construction projects totaling over $700M, he developed a profound understanding of the importance of efficient planning. He has always been enthusiastic about leveraging technology to tackle significant challenges and finds joy in activities like snowboarding, running, and eating pizza. Ziv holds a B.Sc. in Structural Engineering from The Technion, where he served as Chairman of the student government and a board member at TSA. He later pursued an MBA at the Yale School of Management, where he currently serves as Co-President of the Yale SOM Alumni Club of Israel.
Sapir Tubul – CTO & Cofounder SapirтАЩs father, a general contractor, instilled in him from a young age an awareness of the challenges involved in planning and managing construction projects. He possesses diverse professional experience, having worked as a construction project engineer, a software developer, and a data scientist at Intel. He enjoys playing the guitar and traveling the world with his family. Sapir is also a Co-founder of Innobuild, a construction tech podcast with thousands of listeners. Sapir has always been passionate about integrating technology into the construction industry. To pursue this passion, he completed dual B.Sc. degrees in Structural Engineering and Computer Science, and an M.Sc. in Computer Science at The Technion, all with summa cum laude