FilterLabs has publicly launched Ubiquity, a data intelligence platform that delivers clear, location-specific, mission-critical insights from fragmented and noisy sources using source-verified, geotagged data to enable faster, more reliable decision-making.
Quick Intel
FilterLabs announced the public launch of Ubiquity, a new data intelligence platform built to help organizations surface actionable, location-specific insights from fragmented, noisy, and difficult-to-verify data sources. In an era where data abundance no longer provides a competitive edge, leaders and analysts struggle with unreliable signals, rising costs, and prolonged time-to-insight from conventional tools.
Ubiquity tackles these challenges by enabling teams to discover, verify, and operationalize precise signals quickly and confidently. It emphasizes trust and precision without compromising speed, making it suitable for high-stakes environments where insight quality directly influences outcomes.
“Data stopped being a moat long ago. Organizations don’t suffer from a lack of data, they suffer from a lack of reliable insights,” said Jonathan Teubner, co-founder and CEO of FilterLabs. “Ubiquity was built to give analysts and decision-makers direct access to high-quality, hyper-specific signals they can rely on when it matters most.”
“Too many teams spend their time scavenging for, cleaning, validating, and second-guessing data instead of analyzing it,” said Erol Yayboke, COO at FilterLabs. “Ubiquity meaningfully reduces that burden and allows analysts to focus on their actual job: Producing insights that affect the type of decisions that impact thousands around the world.”
A standout feature of Ubiquity is its ability to deliver source-verified, hyperlocal, and geotagged data—even in cases where publisher metadata is absent. The platform leverages agentic AI alongside human-in-the-loop validation to maintain rigorous standards of quality, relevance, and provenance across diverse sources worldwide, including conversational, behavioral, and socioeconomic data.
Early adopters have already experienced transformative results. “Ubiquity has changed how we can make sense of complex political dynamics in Nepal and how quickly we can deliver for a major partner,” says Bridi Rice, CEO at the Development Intelligence Lab. “It allowed our analysts to track evolving narratives on conflict, governance, and elections at a pace and scale that would have taken months using traditional methods.”
“Understanding the narratives in a local information environment is key to changing attitudes and behavior,” says Rob Morello, Chief Analytics Officer at Fraym. “Ubiquity solves this problem.”
Ubiquity integrates smoothly into existing analytical workflows through raw data feeds and extensible APIs. This design allows teams to reduce time-to-insight, lower overall data costs, and tap into unique signals unavailable from traditional providers. By minimizing manual data wrangling, it empowers analysts to prioritize high-value interpretation and strategic decision-making.
About FilterLabs
FilterLabs is a data intelligence company based in Washington, DC and Cambridge, MA that enables faster, more accurate decision-making through source-verified, hyperlocal data. Serving organizations where insight quality directly impacts outcomes, FilterLabs helps teams reduce time-to-insight, lower data costs, and act with confidence in complex and rapidly changing environments.
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