StereoLOGIC Ltd. Information

StereoLOGIC shows enterprises how their operations actually run, so they can detect, understand and remediate value leakage before investing in automation or AI. Our compound AI system recognizes the applications, screens, business data and detailed activities in real operational work, including the exceptions, handoffs and decisions that system logs miss. A process engineer reviews, corrects and approves those outputs at defined checkpoints. Approved outputs then feed deterministic case assembly and end-to-end process reconstruction within a semi-automatic map-assembly workflow, so the same recorded work produces the same model: reproducible for audit and risk teams. The result is complete case traces for each client-defined case, combined into end-to-end paths and variants that show why work is delayed, varies or loses capacity. Process mining sees the shape. Task mining sees the detail. Stereo sees both. Deep Task Mining™ requires no conventional desktop-recording software and no Administrator-level endpoint access. StereoLOGIC is available on-premises, in the client's cloud, or as a dedicated hosted deployment. Founded in 2008 by Sofia Passova, Ph.D., StereoLOGIC works with organizations including Pitney Bowes, Wyth Financial, Wilton Re, Sagicor, East West Bank and ivari.