Reported Earnings • Aug 14
Second quarter 2026 earnings: Revenues exceed analysts expectations while EPS lags behind Second quarter 2026 results: US$0.26 loss per share. Revenue: US$1.85m (up 39% from 2Q 2025). Net loss: US$3.44m (loss widened 31% from 2Q 2025). Revenue exceeded analyst estimates by 5.9%. Earnings per share (EPS) missed analyst estimates by 4.0%. Revenue is forecast to grow 37% p.a. on average during the next 2 years, compared to a 17% growth forecast for the Software industry in the US. Announcement • Jul 29
Cyabra Launches Coordinated Activity Detection Ai Agent Cyabra, Inc. announced the launch of Coordinated Activity Detection, an AI agent that automates Cyabra's analyst methodology to determine whether online activity reflects coordinated inauthentic behavior and delivers that determination as a single, evidence-backed verdict on every scan at scale. Coordinated Activity Detection is built to automatically identify inauthentic online behavior, significantly increasing the speed with which Cyabra’s platform connects scattered signals to reach conclusions about manipulated content and activity. Instead of asking users to interpret the platform's signals on their own, an AI agent does that interpretation directly and reports back with a clear, evidence-backed determination. The Coordinated Activity Detection agent investigates using the same methodology as a Cyabra analyst. It moves through a structured sequence, establishing a baseline suspicion level from account authenticity, identifying peak activity windows, screening every cluster in a scan for concentrated inauthentic behavior, and examining posting time, content, and profile signals for evidence of manipulation or coordination. When the evidence supports it, the agent proceeds to a deeper investigative phase, tracing which narratives are being pushed, who introduced them first, and how they are spreading. Each phase streams its findings as they are generated, so the reasoning behind the verdict is visible throughout the investigation rather than delivered as a single, unexplained score. Every signal behind the final verdict is tied to the specific data point that triggered it, providing users with transparency and auditable reasoning for every decision. The result is one of four verdict states: Confirmed Coordination, Likely Coordination, Insufficient Evidence, or No Coordination Detected, backed by a confidence score and a full evidentiary report, typically returned in under 30 seconds and generated automatically for every scan at scale without requiring any user action. Coordinated Activity Detection is available now within the Cyabra platform. It runs automatically on every scan at scale, surfaces its verdict directly within the platform's Authenticity and Narrative tabs, and generates a downloadable report for sharing across teams. The capability is built for three groups: enterprise brand and communications teams that need to move from “something looks off” to a briefable answer quickly; public sector and government teams that need an evidence trail that can support decision-making; and Cyabra's own analysts, who use the agent to remove repetitive, manual signal-connecting work from every investigation without giving up the judgment calls that remain theirs to make. Coordinated Activity Detection is the first in a series of planned investigative AI agents for customers. Cyabra intends to extend the same approach, an AI agent producing a single defensible verdict per scan, to narrative analysis and influence mapping as those capabilities are developed. The launch follows Cyabra's recognition as a Market Shaper in the inaugural June 2026 Gartner Emerging Market Quadrant for Narrative Intelligence — Startup Vendors, in which Gartner formally defined and assessed the narrative intelligence market for the first time. Cyabra believes Coordinated Activity Detection advances that category by converting complex authenticity and coordination signals into explainable, operational assessments. 
