A focused portfolio of production-scale corpora and configurable enterprise data programs across operational logs, customer support, service desk, connected enterprise environments, curated/hybrid data, software and engineering.
Large-scale corpora for pre-training, specialization, robustness and evaluation.
Agent environmentsConnected enterprise states and workflowsCross-system environments for retrieval, reasoning, tools, decisions and outcomes.
Curated dataReal anchors + controlled expansionRights review, curation, ground truth and targeted synthetic coverage.
Technical dataSoftware, CAD/STEP and machine dataQualified code, engineering artifacts and machine/sensor programs.
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.
Share the target model capability, domain, modality, scale, schema, ground-truth requirements, evaluation objective and licensing needs. AMSYNK can map the requirement to an existing product or a custom data program.
This keeps enterprise corpora and healthcare procurement distinct while preserving one AMSYNK qualification process.