Crack the code on why building projects succeed.
Introducing our innovative, AI enabled solution to predict and mitigate risk from initial funding to completion.
eDiligence is for Real Estate Owners, Commerical Lenders, and Funding Agencies
These projects could have been saved with eDiligence
The eDiligence Suite – Predictive Intelligence for Construction Finance construction cost and scheduling overruns enabling Property Owners to seek additional funding before it's too late or help Lenders identify and avoid issues with funding approval or compliance.
6-story Hotel in California
16 months late
$500k legal fees
3-story Townhouse Condo’s in Western U.S.
Missing Offsite Materials
OVERBUDGET, 5 YRS. LATE
VA Hospital in Colorado
$1.3 billion over budget
5 years behind schedule
Mixed-use urban development in California
14 months late
$1M+ legal fees
1 YEAR LATE
Industrial building in Texas
College Dormitory in Florida
Originally rejected due to lack of sufficient Contingency budget
eDiligence Predict - a Powerful AI Solution
INITIAL DUE DILIGENCE STAGE
Identify hidden problems and red flags prior to funding approval
During credit review and underwriting, eDiligence predicts adequate budgets, identifies shortfalls, recommends optimal timelines, and quantifies how to resolve budget imbalances.
Anticipate shortfalls, imbalances and defaults during the construction phase.
eDiligence provides a "single source of truth" with continuous data driven predictions using proprietary algorithms.
LOAN PORTFOLIO MONITORING
See the effect of our predictions across your entire project portfolio
eDiligence predicts individual project cost and schedule outcomes rolled up to the portfolio level.
Why Real Estate Owners, Commercial Lenders and Funding Agencies use eDiligence
Realize More Revenue
Realize revenue from loans typically rejected.
Models your portfolio
See the effect of our predictions at the portfolio level and Avoid ratio imbalances and big spikes of funding deficits.
With our predictive algorithm, you will be altered to bust shortfalls, technical defaults and out-of-balance against key ratios helping you avoid audits.
Anticipate Late Completion
Our patent pending predictive algorithm provides a high level of accuracy when it comes to predicting financial outcomes for your projects.
Through our dashboard, you'll have the ability to plan opening dates and loan repayment/re-loaning.
Our software enables you to modernize your construction finance site diligence process into a consistent set of best practices. Which also helps train the next generation workforce.
State Of Art Technology
Or solution is unique and unprecedented, due to our proprietary data, proprietary algorithms, and the precise skillsets of our founders and chief data scientist.
Our proprietary database and patent pending algorithms coupled with easy-to-integrate platform make ours a cutting edge solution.
Get Started Quickly
Thanks to our proprietary database of similar projects- and our patent-pending document scraping - you can get up and run without minimal manual entry.
We have deep industry experience
We bring decades of finance, technology and construction leadership experience to offer software solutions tailored to the construction finance sector
Chief Executive Officer, Founder
Chris comes to eDiligence with deep leadership experience serving CRE investors, owners and financial institutions. As CEO of EDR, he oversaw the delivery of workflow/risk management software to over 1000 lenders globally along with market leading data/analytics to measure and predict risks to CRE projects and investments. As President and Co-Founder of DTI knowledge Solutions he and his team built outsourced risk management and compliance solutions for major financial institutions, while pioneering the use of Artificial Intelligence in Legal Discovery. Forging deep and trusted partnerships with clients combined with winning cultures and technology have led to excellence and transformative innovation throughout his career.
Chairman, Chief Product Officer, Founder
Joel has had careers as an experienced Software Industry product leader with two Al patents; and in the Building Industry as Architect, Contractor, R.E. Developer, and Construction Finance Analyst. He has been a visionary for new software solutions at GE, Oracle, DemandTec/ IBM, PeopleSoft, and SAP/ BusinessObjects. In the building industry he was involved with 350 private and public sector projects including the Facebook campus in Mountain View and projects for Shorenstein, Jay Paul, Rockefeller Group, and Beacon Capital Partners. Earlier in his career he was a licensed Architect and General Contractor, with a Bachelor of Science degree from MIT, and Graduate Studies at University of California Berkeley.
Chief Strategy Officer, Founder
Bertie is a trusted advisor to senior bank officers at 30 banks including Bank of America, US Bank, Blackstone Group, and JPMorganChase. In 2000 he co-founded PACS Inc, a consulting firm that provides construction loan due-diligence services to Commercial Lenders including most major US banks. He was formerly VP for Commercial Real Estate Construction Lending at Bank of America for the Southern California Region. From 1988 through 2021, Bertie has worked on over 5000 projects worth over $100 billion. He has the following active California licenses:
• Registered Professional Civil Engineer
• General Building Contractor
• Real Estate Sales License
LEADERSHIP TEAM INDUSTRY EXPERIENCE
TECHNOLOGY LEADERSHIP AND ADVISORS
Chief Data Scientist
Gifted Data Scientist and Technologist who has held positions at Accenture, Tesco, Valtech, and the India Dept of Atomic Energy. Ravi has built advanced solutions for Retail, CPG, Healthcare, Financial Services and the Military, and is the Co-Founder and Chief Data Scientist at Makonis AI.
VP of Software Engineering
Software Architect and Engineering Leader who has held positions at InfoSys and Expedia. Anmol has built B2B and B2C applications for various industries including eDiligence since its inception, and is the Co-Founder and CTO at CodeMaya.
Multi-faceted technologist focused on Machine learning and emerging technologies at IBM Silicon Valley Lab where he manages a large portfolio of Data governance and privacy offerings. He is also a Professor of Computer Science at San Jose State University teaching in the graduate school. He holds 2 US patents.