Investor Relations
01
Vision
What we do
We automate costly and complex online intelligence gathering activities.
FilterLabs.AI scours the world’s online communications to make sense of every local community’s needs, issues, and understandings of the world. Using NLP models tailored to these communities we provide actionable intelligence to help organizations reach the world with their message.
It has become increasingly difficult to connect with audiences, markets, and communities where they live and work. We go hyper local with our analysis and target alternative data sources so you know exactly what matters not just in your city, but in every neighborhood.
02
Use Cases
Public
Health
Track Mis-information in the Health Care Sector
Know what mis-information is circulating in your community and design effective counter-messaging campaigns.
Public
Relations
Engage with the most important audiences
Cut through the noise of social media and access data directly relevant to your district, market, or audience.
Market Analysis
Know what narratives drive the market
Detect market disruptions and opportunities before others by tracking the narratives that drive the market.
Marketing
Find new customers to spur growth
With Filter’s Know Your Customer tools, you don’t settle for “look alike” campaings that only you find you your current customer.
National Security
Analyze emerging threats in real time
Leveraging its large datasets from around the world, Filter enables organizations to track and analyze emerging threats.
Economic Policy
Know the impact of economic policies
Tracking community responses to economic and fiscal policies to understand their impact on local communities.
03
People
Founding Team
JONATHAN D. TEUBNER
CHIEF EXECUTIVE OFFICER
Jonathan has served in a number of leadership capacities in academia, business, and non-profits and has pioneered the application of machine learning to improving peace building methods. At the University of Virginia, Jonathan led a collaborative team of data scientists and scholars across the social sciences to create NLP tools. Previously, Teubner was Co- Director of Global Covenant Partners and Economist at Lehrman, Bell, Mueller and Canon in Washington, DC. Teubner has a Masters degree from Yale, a PhD from Cambridge, and has held fellowships at the Sorbonne in Paris, the Humboldt-Universität zu Berlin, and Harvard.
DAVID P. SMITH
CHIEF TECHNOLOGY OFFICER
David most recently served as Director of Engineering at A Cloud Guru. Previously, he was VP of Technology at Linux Academy. David has gained extensive experience in full stack development, agile methods, dev-ops, management of security and engineering processes, and team leadership in a wide range of tech startup scenarios. His experience ranges from Cloud based application development, database management, security administration, to Natural Language Processing corpus collection and training. In his academic career he specialized in language and literary theory. David has Masters degrees from Princeton Seminary and Yale.