Joseph Zagrobelny
New York, NY (USA)
Role(s):
C-Level Executive (CEO, CFO, etc.)
ModSpec, Inc. - jzagro [at] gmail [dot] com
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Startup
Location:
New York
Industry:
Software
Year Founded:
2010
Number Employees:
1-10 people
Description:
Our Artificial Intelligence Marketing/Sales Automation software radically improves marketing, sales and service to increase revenue by at least 10%.
We combine data from multiple sources – internal/CRM and external, Socialitics, blogs, news, etc. – to get to know and model your prospects and customers in great detail – their dynamics, influences and networks. We can identify and predict needs, wants, behaviors and spending patterns, especially periods of high spend.
Our Model-Based Purchasing Recommendations will allow Customers to push the E-Z button and get exactly what they need/want, when they need it.
Our AORME software, Agile, Organic Relationship Modeling Engine is a Best of Breed Natural Language Processing Modeling & Search – combining MIT’s best people and technologies, with joint development we’ve done with Syracuse University’s Center for Natural Language Processing.
Based on $100M’s and decades of R&D to track terrorists – we track your prospects and customers to deliver on their needs and radically drive revenue.
C-Level Executive (CEO, CFO, etc.)
ModSpec, Inc.
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Service Provider
Location:
New York
Description:
Our Artificial Intelligence Sales Automation software radically improves marketing, sales and service to increase your revenue by at least 10%.
We combine data from multiple sources – internal/CRM and external, Socialitics, blogs, news, etc. – to get to know and model your prospects and customers in great detail – their dynamics, influences and networks. We can identify and predict needs, wants, behaviors and spending patterns, especially periods of high spend.
Our Model-Based Purchasing Recommendations will allow Customers to push the E-Z button and get exactly what they need/want, w
Services Provided:
- Project Management
- Business Consulting
- IT System Development