
Project Execution. Perfected.
sherpa (n): a civil servant who undertakes preparatory work prior to a summit
Sherpa
Real estate projects have many moving parts, though most people only see the physical construction. In order for a project to be successful, all the pieces have to be executed properly. Sherpa is our artificial intelligence powered, proprietary real-estate project execution platform. The platform is used to put the entire development team on the same page in order to ensure that all stakeholders are working towards a common vision under the same assumptions and with the timing expectations.
Sherpa leverages various technologies in order to eliminate redundancy of low-value tasks while providing insights on potential project exposure points. The net result is that with the help of Sherpa and its recommendation algorithm, team members can focus on the critical components of a project while still being kept abreast of all the project details.
Sherpa is not intended to replace specific workflows of different team members, it simply serves as the place where all team members collaborate on the overall progress of the project. By way of an example, investment analyst will continue to run financial models on excel (or Argus), general contractors will continue to run projects the way they see fit but everyone places the project deliverables in Sherpa, sees the project milestones in Sherpa and receives Sherpa recommendations based on all project elements.
Sherpa Key Components
Modular Project Structure
With a few clicks you can initiate a project that encompasses the nuances of your specific project: tasks, deliverables, milestones and resource allocation
Cloud Based Platform
Hosted in the cloud, Sherpa can be accessed anywhere and anytime, providing instant detailed project access/information
Accounting Integration
Integrate Sherpa with your existing accounting system to always know where you are financially on a project
Resource Management
Quickly and efficiently allocate resources based on your existing network of vendors and team members
Artificial Intelligence
The proprietary recommendation algorithm consistently monitors project tasks, deliverables, milestones, resources in order to make adjustment recommendations in order to deliver a project on-time and on budget
Lessons Learned
Never make the same mistake twice with this feature which is also fed into the machine learning algorithm
User Types
Government Agencies
Increase transparency
Deliver projects on-time and on-budget
Better manage limited project resources
Non-Profit Organizations
Significantly enhance organizational capacity
Automatically share progress with different funding sources
Identify project inflection points
Developers
Drastically increase organizational capacity
Leverage existing personnel
Systemize the full development process