Unlocking prosperity by studying the people and actions that drive revenue growth.
We believe that AI can unlock powerful paths to profitable and sustainable economic opportunity.
Large data models
Collective[i] (short for Collective Intelligence®) uses a type of artificial intelligence (AI) algorithm that leverages deep learning techniques and massively large data sets to understand, summarize, and predict B2B commerce. In the AI world, this approach is called a foundation model.
The goal is to unearth patterns that can be put in applications that help companies better serve their customers and prospects, work more productively, and optimize revenue growth.
Collective[i]’s network: Massive amounts of B2B activities & relevant data
Automated capture and input of company specific revenue related activity and data (eg, CRM, emails, calendar, video conferencing, ERP, etc.) connected via APIs
AI: Deep learning & neural networks
Collective[i]’s large data modelUS patent 8825716B2
Insights + automation: Daily revenue forecast / CRM activity & contact capture & updates / Opportunity odds / Risk alerts / Next best actions / Relationship mapping
Productivity gains / Reliable forecasting / Clean CRM data / Improved BuyerX / Revenue growth
B2B buying patterns
Every buyer is unique. Our research reveals the flaws in the theory that you can map out a common buying journey.
C[i] True Odds™ is an example of an application produced from this research.
Revenue Monitoring
Commonly referred to as ‘forecasting’, Collective[i] uses deep learning and neural networks + training data to help companies have a daily monitor of how buyers are responding to activities and market conditions are impacting likely outcomes.
C[i]’s Intelligent Forecast™ is one example of an application produced from this research.
Relationship Mapping
In business, it turns out that there are catalysts, people who accelerate outcomes and may or may not be part of buying teams. Referrals, warm introductions, mentoring, and other forms of human connection play a massive role in how business gets done.
Connectors™ is an example of an application produced from this research.