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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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List of Incident AI Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Etsy Retail 2790 $2.6B United States Pineapple Technology Incident AI Platform Intelligent Process Automation 2022 n/a In 2022, Etsy implemented the Incident AI Platform, deploying an Intelligent Process Automation solution to centralize SRE and incident response workflows. The Incident AI Platform from Pineapple Technology was adopted organization wide across engineering, payments, member support and security teams to improve visibility into outages and streamline post incident work. Deployment concentrated on incident orchestration and automated post incident workflows, combining incident timelines, automated task assignment and insight generation to lower operational overhead. Configuration emphasized standardized incident lifecycles, templated response playbooks and automation logic to capture context and accelerate remediation. The platform was instrumented into existing SRE and incident response toolchains to surface outage visibility and consolidate cross functional communications. Operational coverage included on call SRE, payments operations, member support escalation paths and security incident responders. Governance centered on organization wide adoption with standardized incident ownership, automated workflow triggers for post incident tasks and centralized insight dashboards to inform post incident reviews. Etsy cited improved insights into outages and reduced operational overhead of post incident work as key outcomes from the Incident AI Platform implementation.
Pleo Professional Services 850 $103M Denmark Pineapple Technology Incident AI Platform Intelligent Process Automation 2023 n/a In 2023, Pleo implemented Incident AI Platform from Pineapple Technology to centralize incident communication and automate response workflows for its engineering and security teams. The deployment was positioned within the Intelligent Process Automation category, targeting reduction of manual postmortem work and faster coordinated incident handling across technical teams. The implementation leveraged core Incident AI Platform capabilities including automated response workflows, Workflows orchestration, and Insights for incident telemetry and trend analysis. Configuration focused on templated runbooks and playbook automation to standardize declaration and remediation processes, while automating post-incident handoffs to reduce manual documentation burden. Operational scope concentrated on engineering and security functions, with an explicit governance shift to encourage broader incident declaration beyond engineering and to formalize incident response workflows. The vendor case study highlights use of Workflows and Insights to lower mean time to resolution, reduce a growing incident backlog, and alleviate team burnout, and Pleo operationalized these modules to centralize communications and streamline post-incident review processes.
SumUp Banking and Financial Services 3000 $289M United Kingdom Pineapple Technology Incident AI Platform Intelligent Process Automation 2023 n/a In 2023, SumUp implemented Incident AI Platform as a centralized incident management solution. The deployment used vendor Pineapple Technology and targeted SRE and operations teams to unify incident handling and streamline incident communication across its teams and regions, aligning the work under the Intelligent Process Automation category for incident management functions. The implementation emphasized consolidated incident workflows and automation, with Incident AI Platform configured to run consistent, automated responses, orchestrate communications during active incidents, and support structured post incident reviews. Functional capabilities implemented included incident detection to response orchestration, runbook-driven automation for repeatable actions, and a single timeline for cross functional incident communication, reflecting common Intelligent Process Automation workflows for operations and reliability engineering. Governance changes focused on standardizing incident response playbooks and post incident review processes, enabling consistent handoffs between SRE, operations, and support functions. The vendor case study reports consolidation of incident workflows and improved ability to run consistent automated responses and post incident reviews, indicating operational consolidation and tighter process control following the Incident AI Platform deployment.
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FAQ - APPS RUN THE WORLD Incident AI Platform Coverage

Incident AI Platform is a Intelligent Process Automation solution from Pineapple Technology.

Companies worldwide use Incident AI Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Etsy, SumUp and Pleo are recorded users of Incident AI Platform for Intelligent Process Automation.

Companies using Incident AI Platform are most concentrated in Retail, Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.

Companies using Incident AI Platform are most concentrated in United States, United Kingdom and Denmark, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Incident AI Platform across Americas, EMEA, and APAC.

Companies using Incident AI Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of Incident AI Platform include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Incident AI Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Intelligent Process Automation.