Crowdsource the World with Global InSight™

1) Each Nod* tags images on the web. *Nod = one member of the Tomnod crowd 2) Crowd consensus combines to form a knowledge map.

2) Crowd consensus combines to form a knowledge map.

3) Tomnod CrowdRank extracts actionable intelligence.

An avalanche of data

1 hour of video is uploaded to YouTube every second.
Facebook users share a quarter billion photos every day.
In 2009, 24 years of surveillance video was recorded in Afghanistan.
Satellites capture high-resolution imagery covering 4,000,000km² of our planet every day -- that's an area larger than India.

Crowdsourcing the solution

Tomnod's Global InSight platform deals with this data avalanche using the most powerful information processing machine -- the human brain. Our crowdsourcing technology divides huge challenges into simple microtasks that can easily be solved by our online crowd. Scaling simple solutions with thousands of members of the crowd (we call them "Nods") means huge datasets get analyzed rapidly. Inputs from multiple, independent Nods feed into Tomnod's suite of CrowdRank™ algorithms to find statistcal consensus between the crowd's contributions. The result is an assessment of the good -- and bad -- Nods and rapid, reliable identification of objects of interest.

Case Study: identifying military and protestors in Damascus, Syria.

Examples

Expedition Mongolia: 10,000 citizen scientists contributed 2 million analyses to map a huge region of Mongolia and help National Geographic explorers to search for the tomb of Genghis Khan. Watch the documentary staring Tomnod co-founder, Albert Lin.
Christchurch Disaster Mapper: The crowd compared before / after aerial imagery of Christchurch to find buildings that were damaged by the devastating 2011 earthquake.

Search and Rescue