Enterprise datasets for model training, evaluation and agent development. Review each offering’s data origin, access conditions and technical profile before requesting a sample.
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Images illustrate dataset categories. Technical samples are available during evaluation.
Production-scale enterprise operational data spanning application, cloud, database, endpoint, ERP/CRM, identity, IT operations, Kubernetes, network and security log families.
Large-scale customer-support conversations generated from coherent synthetic companies, products, plans, policies, account states, issues and dialogue trajectories.
Enterprise support and service-desk corpus covering tickets, incidents, L1/L2/L3 escalation, engineer activity, SLA behavior, remediation, resolution and controlled contamination.
A connected enterprise environment tying finance, operations, people, documents, communications, tickets and business workflows into one coherent synthetic state space.
Transforms suitable buyer-owned or appropriately licensed enterprise data into structured AI-ready learning assets, then expands coverage with controlled synthetic cases calibrated against measured real-world patterns.
Qualified-access software repository opportunities with legacy and modern technology stacks, development history, commits, pull requests, tests and code metadata.
Engineering-data curation and controlled generation across CAD, STEP, drawings, assemblies and specifications, including known mutations and ground truth where the project requires them.
Structured telemetry and machine-state programs covering alarms, equipment states, failure sequences and operational context for training and evaluation.
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