The Long Tail of Identification: How Software Solves the 9/11 Mystery
A specialized DNA-matching system from Ann Arbor continues to identify victims of the September 11 attacks twenty-five years later.

CentralSquare Technologies launched CentralSquare One on July 1, 2026, marking a significant shift in how public safety agencies manage the increasing volume of data generated during emergency incidents. The cloud-based platform functions as a unified intelligence layer, designed to bridge the gap between fragmented systems that have historically hindered rapid decision-making for dispatchers and field officers.
Public safety professionals frequently encounter situations where critical information remains locked within separate applications, forcing personnel to manually aggregate data while managing high-pressure events. This reliance on disconnected workflows often results in information gaps that can compromise situational awareness when every second determines the outcome of an emergency response. The platform addresses these operational inefficiencies by consolidating NG911, computer-aided dispatch, and records management systems into a single, cohesive experience.
The integration includes specialized tools such as Centerline AI and FirstTwo, which serve to automate and streamline investigative workflows from the initial call to final reporting. By embedding these capabilities directly into the daily tools used by agencies, the software aims to minimize the time spent searching for context across disparate databases. This approach ensures that relevant intelligence is readily available to responders as they navigate evolving incidents in the field.
Denise Hemke, Chief Product Officer at CentralSquare, emphasized the necessity of this integration for modern emergency services.
Public safety professionals shouldn’t have to search for information while responding to an emergency. CentralSquare One unifies data, workflows, and AI-powered intelligence across the incident lifecycle, keeping officers safer in the field and giving communities the responsive, reliable service they deserve.
The platform surfaces specific risk factors, address histories, and active warrants, providing a comprehensive view of a scene before responders arrive.
The deployment of this technology reflects a broader industry trend toward consolidating public sector software to improve operational speed and accuracy. More than 8,000 agencies across North America currently rely on the company for critical operations, ranging from payroll to complex dispatch management. This transition to a unified intelligence model represents a strategic effort to modernize the infrastructure supporting these diverse public safety organizations.
The reliance on cloud-based architectures allows for the real-time delivery of intelligence, ensuring that updates and data synchronization occur without the latency associated with legacy on-premise systems. By centralizing the incident lifecycle, the platform reduces the cognitive load on dispatchers and officers, allowing them to focus on immediate threats rather than system navigation. This shift toward a singular interface is intended to mitigate the risks associated with information silos in high-stakes environments.
The significance of this development lies in the reduction of human error during time-critical interventions where context is often the most valuable asset. By automating the surfacing of critical data, the system acts as a force multiplier for agencies that are often understaffed or managing high call volumes. The broader implication involves a fundamental change in how departments leverage historical data to inform real-time tactical decisions during active emergencies.
Stakeholders in the public safety sector will closely monitor how this unified approach impacts response times and the quality of investigative reporting in the coming months. The success of the platform will likely depend on the ability of agencies to adapt their existing workflows to this integrated model without disrupting ongoing operations. Future updates to the platform are expected to further refine the AI-driven intelligence features as more agencies adopt the centralized system.
The industry will observe whether this consolidation leads to measurable improvements in community safety outcomes as the platform scales across its existing client base. As agencies continue to face pressure to do more with less, the shift toward unified intelligence platforms may become a standard requirement for public sector software providers.
A specialized DNA-matching system from Ann Arbor continues to identify victims of the September 11 attacks twenty-five years later.
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