Ambixer - Expectations Management Framework

Ambixer helps multi-sided teams build consensus for complex investment decisions faster by aligning vision and context. 

Balance the Right Combination:
When, Who, About, for Whom for Webinars, Online Events,
Webcasts, Earnings calls

- Head of Partnership
- Head of BizDev
- Speakers
- Sponsors
- Virtual Event Producer
- VP of Investor Relations 

Ambixer - Expectations Management Framework for Events for Complex Professional Audiences

"Pain-Cases" topics recommendation engine for attendees and expert-partners
  • Wrap your solution message with the right "Pain" that an attendee whant to relief.
  • Explain your solution with the right Case for an every "Pain" with the right expert for any audience. 
  • Cases-chain and Solution-chain engine for full-stack experts attendees and agenda.
Advanced expert and sponsorship booking engine for 
any b2b product, type of event, audience or case
  • AI-powered vetting process for sponsorship ideas.
  • AI-powered vetting process for offers of products, events, producers or case.
  • AI-powered vetting process for experts.
Prioritization engine of incoming requests for Sponsors: Investors, Asset managers, DX vendors, DX Corporations
  • Conduct open-calls without spending time on screening.
  • Team prioritization incoming requests (including requirements of every team-mate).
  • Valuation engine for every request automatically form the line and top-lists. 
  • Flexible prioritization, including gold-ticket, for skipping the line.
  • Comparison Pro-and-Contra detailed list for an every request for making scrupulous designs.
Prioritization engine for questions and answers sessions for event, webcast, open-call, lecture or product webinar 
  • Collect questions from attendee.
  • Sort questions for every speaker.
  • Fill slots balancing between common interest and sales-lead questions.
  • Create "gold tickets" for most important questions to skip the line. 
Smart-scheduler. ​Best time slots selected for experts, webinar hosts and VIP guests
  • Plan your events for the year ahead.
  • Evaluate every incoming opportunity by complex criteria.
  • Create "Gold ticket" condition for best variant.
Compare calendars, sort potential appointments by subject interest for each participant 
  • A/B test for options: Agendas topics, Guest speakers, Sponsors. 
  • A/B test for Date and Time-slots.
  • A/B test for price and value. 
  • Pick the perfect fitted.

Rethinking Investor Relations with Impact, ESG and Active Investors

Ambixer - Expectations Management Framework for Investor Relations Events and Earnings Call

Prioritization engine for questions and answers sessions
for Investors and VP of Investor Relations
  • Collect questions in the months leading up to an event.
  • Balance and diversify investor representation. 
  • Sort questions by both frequency and importance. 
  • Identify important questions based on team criteria. 
  • Build a pipeline of questions and establish 24/7 communication with investors and asset managers.
Incoming Prioritization engine for Earnings Call and IR events for Impact Investors and Asset Managers
  • Handle invitations from 6000 of public companies.
  • Forward requests and invitation to the right investor.
  • Sort by multiple conditions from committee members.
Smart-scheduler. ​Best time slots selected for ESG, Impact Investors, Asset managers and VP of Investor Relations
  • Plan your events for the year ahead.
  • Evaluate every incoming opportunity by complex criteria.
  • Create "Gold ticket" condition for best variant.
Compare calendars, sort potential appointments by subject interest for each participant 
  • A/B test for options: Agendas topics, Guest speakers, Sponsors. 
  • A/B test for Date and Time-slots.
  • A/B test for price and value. 
  • Pick the perfect fitted.

What the Secret Sauce is?

  1. Wrapping all NDA-covered issues by anonymization and indirection.
  2. Granular requirements from of all teams of all potential projects and deals.
  3. Proxy search and requests with top-lists and stop-lists.
  4. Big-data search-and-matching engine. 
  5. Clustering and ranking by weight of answers.
  6. Sort results of companies and talent by probability of the deal.