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Crystol AI — End-to-end autonomous support-resolution corpus: per ticket, triage decisions, auto-resolution vs drafted-reply vs escalation outcomes, the agent's reasoning traces and audit logs, knowledge-retrieval events across a unified support knowledge layer (help desk, CRM, knowledge base, proprietary APIs, public web/social sources), customer profile and entitlement context, account/order/identity resolution links, voice-agent conversation transcripts, and escalation-policy/human-review interventions.. Early-stage corpus with one valuable differentiator: human-review outcomes over agent …
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End-to-end autonomous support-resolution corpus: per ticket, triage decisions, auto-resolution vs drafted-reply vs escalation outcomes, the agent's reasoning traces and audit logs, knowledge-retrieval events across a unified support knowledge layer (help desk, CRM, knowledge base, proprietary APIs, public web/social sources), customer profile and entitlement context, account/order/identity resolution links, voice-agent conversation transcripts, and escalation-policy/human-review interventions.
Scale SmallFrom 1 yearsCoverage Information Technology
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Crystol AI — End-to-end autonomous support-resolution corpus: per ticket, triage decisions, auto-resolution vs drafted-reply vs escalation outcomes, the agent's reasoning traces and audit logs, knowledge-retrieval events across a unified support knowledge layer (help desk, CRM, knowledge base, proprietary APIs, public web/social sources), customer profile and entitlement context, account/order/identity resolution links, voice-agent conversation transcripts, and escalation-policy/human-review interventions.. Early-stage corpus with one valuable differentiator: human-review outcomes over agent …
Crystol AI offers (Alternative, Sentiment) — Small — est. 10^4-10^5 tickets with full reasoning-trace/audit records to date; value per record is high (reasoning + outcome + entitlement context + knowledge attribution) but breadth is early.
Draft-vs-approved preference data (agent reply drafted, human edited/approved — clean RLHF pairs); triage/outcome classification across fintech and SaaS verticals (fintech compliance queries featured via Spearpay case); escalation-boundary datasets; RAG attribution corpora linking retrieved knowledge from heterogeneous sources to resolutions; voice-support ASR+intent data; identity/order-resolution linkage datasets for account-verification models
The data is with 1 years of history.
Coverage spans US; Application Software; alternative, sentiment; equities.
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