4. Many businesses and investors waste time and
money cultivating relationships with the “wrong
people.”
5.
6. The Art of the Possible.
• Identify the most influential people and groups
using real-time data...
• Understand and manage risk…
• Identify firms that are “networked” for future
growth…
All from the computer in your office?
7. We’ve invented it.
A SaaS platform that utilizes
the same analytical techniques
as the most elite
counterterrorism forces in the
world.
You need to know who
you “need to know.”
8. The fusion of advanced Machine Intelligence with
Local Trusted Agent Networks.
Superior results, faster, lower cost.
“Art and science encounter each
other when they seek exactitude.
-Étienne-Jules Marey
French physiologist
9. Use Case.
Client Story.
How does a new biotech firm with limited resources enter
and compete in the Moroccan market?
How they were going to do it…
• Identify influencers through industry contacts and web
searches.
• Hire a consulting firm to assist identifying influencers
and, hopefully, facilitate introductions.
• Fly to Morocco for two weeks, make calls, knock on
doors, and, hopefully, meet the “right” people.
10. The user opens the application
to series of simple drop-down
data filters.
21. We have developed several
other powerful visualizations-
all fully explorable.
22. Collaborative Data
Ingest Tool (C-DIT)
Back-end Analytics Web-based
Visualizations
Integration
Complete
Vumbua
How it works.
Additional technical details in Appendix
23. Vumbua
Go to Market.
Phase 1 (Months 1-6): $500K
Data
Demand/
Customer
Identification Bespoke
Engagements
Scalable
Data
Collection
Process White Papers
Customer Discovery
Industry Event Demos &
Presentations
Newsletters
Publicity thru Industry Orgs
• Feedback drives C-DIT development.
• SaaS interface improved to efficiently scale.
• Data Collection is still primarily human collected
2 Champion
Customers
24. Vumbua
Go to Market.
Phase 2 (Months 7-24): $2M
Bespoke
Engagements
Data
Collection
Process
Scales Data
RepositoryAdditional Revenue
Improves C-DIT
Scales Vumbua
Platform
Vumbua
Live
Data Collection transitions from primarily human collection to
increasing automation until optimal machine-human
collaboration is achieved. Details in Appendix.
28. Collaborative Data
Ingest Tool (C-DIT)
Vumbua
How it works.
1. Subject Matter Expert determines the “seed themes”
particular to the ecosystem under analysis.
2. Web scraper pulls data based upon the “seed” and
populated graph database.
3. AI Engine module checks for data completeness and
identifies data anomalies.
4. A checklist is sent to analyst who addresses data
anomalies using human wisdom.
5. Feedback provided to C-DIT engine to improve data
collection.
6. If required, query is sent to trusted agent on the
ground in ecosystem under analysis for data
confirmation
7. Process operates continually, providing real-time data.
Machine-Human Collaboration
Smart Data, not Big Data
29. Vumbua
How it works.
1. Data is pulled from Graph Data Base
based upon query from user interface.
2. Network models are developed based upon
the user query.
3. All entities are assigned multiple scores.
4. Influencers and Connectors are identified.
5. Communities within the network identified.
6. People and groups are ranked based upon
proprietary algorithms.
The same analytical techniques as the most
elite counterterrorism forces in the world.Back-end Analytics
30. Vumbua
How it works.
1. User is presented with an intuitive, elegant
interface.
2. Queries are intuitive and quick; simple drop-
downs, maps, and tags.
3. User is presented with beautiful, interactive
visualizations.
4. Based upon our previous research work,
insights from the data are clear to decision
makers.
5. The “so what?” is clear and actionable.
We want our users to enjoy using this product
and smile while using it!
Web-based
Visualizations