NEWSWIRE

Spectrum launches Latis, a household intelligence platform

Logo: Latis
The platform “transforms real-world activity into intelligence that helps organizations understand consumer intent, context, emerging trends and shifting demand at national scale.” (Latis)

Spectrum Intelligence Ventures, the AI intelligence business unit of Spectrum, announced Latis, a new privacy-forward household intelligence platform designed for the emerging era of AI models, agents and real-time decisioning systems.

Built on one of the nation’s largest first-party signal foundations spanning approximately 30 million U.S. households and 500 million connected devices, Latis transforms real-world activity into intelligence that helps organizations understand consumer intent, context, emerging trends and shifting demand at national scale.

“The transition from data to intelligence is one of the most important shifts happening across technology and business today,” said John Lee, head of intelligence ventures for Spectrum. “Latis is designed to help power this next generation of AI-driven systems by transforming large-scale household signals into continuously evolving real-world intelligence that organizations can use to improve decisioning, automation, personalization and business outcomes.”

Latis was purpose-built to provide a continuously evolving intelligence platform that is open and interoperable for both today’s enterprise systems and the emerging generation of AI-native applications.

Latis continuously models the evolving household state across digital, video and device signals, transforming household-level data into pseudonymized mathematical representations of household activity patterns. This helps organizations better understand changing consumer intent, priorities, responsiveness and likely future actions across industries including retail, automotive, financial services, travel, media, telecommunications and consumer goods.

For example, traditionally, the signal of a consumer’s interest in travel becomes available only after a consumer has taken a clear transaction-oriented step. Latis is designed to help identify emerging travel-related interests earlier in the consumer journey by transforming household-level activity patterns — such as destination research, engagement with travel-related content, and comparison of vacation options — into pseudonymized representations of intent, interest, affinities and trends.

Latis is designed to support a broad range of enterprise and AI-native use cases, including:

  • consumer insights and segmentation;
  • media targeting, optimization and measurement;
  • data clean room collaboration and enhancement;
  • personalization and decisioning;
  • model training; and
  • agentic AI acceleration.

Designed with a privacy-forward architecture and governed access framework, Latis enables organizations to obtain intelligence through secure collaboration environments, controlled integrations and governed infrastructure models designed to support enterprise privacy, security and governance requirements. Partners may use the intelligence outputs for permitted business purposes, such as advertising, marketing, measurement, research, customer engagement, analytics, personalization and improving AI-driven tools and services, but the underlying household-level data stays within Latis’ controlled environment.

Spectrum Intelligence Ventures is currently selecting a limited group of partners for beta participation. Beta programs include collaboration with Spectrum Reach to provide select partners early access to Latis intelligence combined with Spectrum Reach and wider media inventory to improve targeting and business outcomes. Broader availability is planned for the second half of 2026.


This article is a newswire. The above information is reprinted from one or more press releases from the companies involved. StreamTV Insider publishes newswires for the benefit of our readers and does not take ownership of the original material. Read the press release here.

If you or your company has news that may be of interest to our readers, email us at [email protected].