Apiary Labs Launches SurveillanceIQ to Detect and Respond to Disease Threats

Apiary Labs, a healthcare and public health technology company based in Austin, Texas, has launched SurveillanceIQ, a platform designed to detect, verify, and respond to disease threats. The platform aims to connect fragmented disease signals, anticipate emerging threats, and help public health teams coordinate responses across jurisdictions.

Since the onset of the COVID-19 pandemic, investments in wastewater surveillance, genomic sequencing, and electronic reporting have significantly expanded public health's ability to detect and monitor emerging disease threats. However, the challenge remains in connecting these signals across fragmented systems quickly enough to inform timely decisions. SurveillanceIQ is built to address this gap.

The platform currently tracks 218 syndromes, including tick-borne conditions such as alpha-gal syndrome. It can add new syndromes as they are identified. SurveillanceIQ allows epidemiologists to investigate unusual patterns, weigh the supporting evidence, and evaluate potential response options in one place.

Public health teams in three U.S. cities used SurveillanceIQ during the 2026 FIFA World Cup to consolidate disease surveillance information and support situational awareness. The platform's core capabilities include multi-source disease intelligence, flexible data integration, evidence-grounded investigation, genomic signal analysis, threat forecasting, response simulation, and accountable response tracking.

SurveillanceIQ combines indicator-based, syndromic, wastewater, genomic, event-based, environmental, and animal-health surveillance to evaluate potential threats across independent sources. It allows teams to upload their own surveillance data and analyze it alongside CDC and other public data sources. The platform also features SIGHTLINE Ask, a tool that lets users explore public health data in plain language, with traceable calculations, confidence indicators, and safeguards against unsupported conclusions.

Genomic signal analysis flags unusual or unclassified genomic signals that warrant further scientific study. Threat forecasting projects where disease threats may emerge or spread next, helping agencies anticipate risks and plan preparedness efforts. Response simulation models "what if" scenarios, such as travel restrictions or medical countermeasure deployment, across jurisdictions, while keeping modeled outcomes clearly separate from observed evidence. Accountable response tracking records investigation histories and maintains a 7-1-7 ledger, so agencies can measure performance against the global target for detecting, notifying, and responding to outbreaks.

The platform spans national, state, territorial, and local jurisdictions, with jurisdiction-specific environments that support local investigations. SurveillanceIQ works alongside existing public health infrastructure rather than replacing established reporting systems. Its core surveillance workflows do not require patient-level clinical records.

Apiary Labs has made SurveillanceIQ available to public health agencies in all 50 states, the District of Columbia, and U.S. territories. It serves state, territorial, county, and city health departments, as well as preparedness organizations and cross-jurisdictional response teams. Teams can typically be onboarded in as little as two weeks. Eligible health departments may be able to fund adoption through existing federal sources, such as CDC's Public Health Infrastructure Grant (PHIG), subject to grant terms.