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Deep Discovery careers
Deep Discovery is in the business of discovering secrets. The secrets that undermine the health of human civilization. Secrets that are hiding in plain sight in the vast ocean of data across the open Internet. All while fiercely defending the privacy of personal data on ordinary people.
The UN estimates that corruption, money laundering, and other forms of illicit finance account for 5% of the global economy, $3.6 trillion each year. This undercuts efforts to solve the world’s most pressing challenges, poverty, inequality, climate change, public health, and undermines the democratic foundations of a healthy society.
Peter Thiel famously said, “We wanted flying cars, but we got 140 characters.” AI is a revolutionary technology, but it is too often focused on squeezing out incremental improvements to “first world problems”. Now is the time to put the power of AI to use in support of a revolution in the fight against corruption and bolster the democratic freedoms and wellbeing of billions.
At Deep Discovery, our ambition is to build the first social-impact unicorn focused on ending corruption on Earth, thereby improving the lives of billions of citizens. We believe recent innovations in machine learning, deep neural networks, representation learning, graph technologies, deep link analysis, entity and identity resolution, natural language processing, search and the emergence of web scale data make such an audacious mission tractable.
Our first products in development are a network-based financial crime risk scoring and analysis system for Know-Your-Customer due diligence in the financial services sector and a sister product for network analysis to support investigative journalism. We are generating crime and corruption risk assessment scores for every single company in the world, and every director and officer of those companies.
We are on a mission to change the world by piercing the veil of secrecy, creating a better world built upon a foundation of transparency.
The UN estimates that corruption, money laundering, and other forms of illicit finance account for 5% of the global economy, $3.6 trillion each year. This undercuts efforts to solve the world’s most pressing challenges, poverty, inequality, climate change, public health, and undermines the democratic foundations of a healthy society.
Peter Thiel famously said, “We wanted flying cars, but we got 140 characters.” AI is a revolutionary technology, but it is too often focused on squeezing out incremental improvements to “first world problems”. Now is the time to put the power of AI to use in support of a revolution in the fight against corruption and bolster the democratic freedoms and wellbeing of billions.
At Deep Discovery, our ambition is to build the first social-impact unicorn focused on ending corruption on Earth, thereby improving the lives of billions of citizens. We believe recent innovations in machine learning, deep neural networks, representation learning, graph technologies, deep link analysis, entity and identity resolution, natural language processing, search and the emergence of web scale data make such an audacious mission tractable.
Our first products in development are a network-based financial crime risk scoring and analysis system for Know-Your-Customer due diligence in the financial services sector and a sister product for network analysis to support investigative journalism. We are generating crime and corruption risk assessment scores for every single company in the world, and every director and officer of those companies.
We are on a mission to change the world by piercing the veil of secrecy, creating a better world built upon a foundation of transparency.
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Jeffrey Stein
Former Co-Founder and VP of Business Development at Orbital Insight; Founder/CEO of Macroscope Media; Stanford MBA
Valuation
$0
Funded over
1 round
Latest round
Seed (Jan 2021)
Acquia • Boston • $145k – $158k • 7 days ago
OpenSesame • Austin • $160k – $180k • 1 week ago
Taulia • San Francisco • $140k – $150k • 2 weeks ago
Signifyd • Mexico City • 2 weeks ago
adRise • San Francisco • 2 weeks ago
