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Engini — Root-cause-analysis and production-fix execution traces from autonomous support agents: per issue, the customer conversation, the agent's reasoning over technical documentation, the live-log pulls it executed (Datadog / AWS CloudWatch), the diagnosed root cause, the guardrailed backend fix it applied in the customer's production environment, user-confirmed resolution, and — when escalation occurred — the synthesised structured Jira handoff containing the full diagnostic chain. Context joined from Salesforce/NetSuite/Gainsight (purchase history, subscription, product usage) and helpde…
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Root-cause-analysis and production-fix execution traces from autonomous support agents: per issue, the customer conversation, the agent's reasoning over technical documentation, the live-log pulls it executed (Datadog / AWS CloudWatch), the diagnosed root cause, the guardrailed backend fix it applied in the customer's production environment, user-confirmed resolution, and — when escalation occurred — the synthesised structured Jira handoff containing the full diagnostic chain. Context joined from Salesforce/NetSuite/Gainsight (purchase history, subscription, product usage) and helpdesks (Zendesk, Intercom, Freshdesk).
From 2 yearsCoverage Information TechnologyAsset class Equities
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Engini — Root-cause-analysis and production-fix execution traces from autonomous support agents: per issue, the customer conversation, the agent's reasoning over technical documentation, the live-log pulls it executed (Datadog / AWS CloudWatch), the diagnosed root cause, the guardrailed backend fix it applied in the customer's production environment, user-confirmed resolution, and — when escalation occurred — the synthesised structured Jira handoff containing the full diagnostic chain. Context joined from Salesforce/NetSuite/Gainsight (purchase history, subscription, product usage) and helpde…
Engini offers (Alternative, Operational Telemetry) — Est. 10^4-10^6 full diagnostic chains accumulated (issue + log evidence + cause + fix + outcome); each chain multiplies into multiple log-query and action records; Jira handoffs add synthesised long-form technical text.
Ground-truth troubleshooting trajectory data for SRE/devops copilots: (symptom → log evidence → root cause → executed fix → confirmed resolution) chains are nearly nonexistent publicly and directly train diagnostic agents; AIOps root-cause classification datasets; production-change safety models (what fixes are safe to auto-apply under guardrails); L2/L3 escalation-prediction (what the agent genuinely cannot finish); technical-ticket summarisation training from the synthesised Jira handoffs; SaaS churn-risk signals from billing-dispute resolutions
The data is with 2 years of history.
Coverage spans US, Other; Application Software; alternative, operational_telemetry; equities.
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