Versioned, schema-documented, expert-reviewed datasets from real professional workflows. Licensed with clear provenance and delivered straight into your training and evaluation pipelines.
EinsteinHire's Data as a Service gives AI teams licensed access to structured datasets built from real operational workflows: engineering, support, finance, operations, and internal documentation. Every record carries its source, review status, and permitted-use terms, so it can move straight into a training, fine-tuning, or evaluation pipeline.
Synthetic data causes model collapse, while web crawls create legal exposure. Real breakthroughs require verified operational data.
Recursive training on artificial outputs creates degenerative reasoning drift, compounding hallucinations over time.
Valuable data remains locked inside private ERP and database silos behind compliance and privacy barriers.
Every token is cryptographically de-identified, audited for clean provenance, and backed by complete IP indemnity.
A continuous data supply chain converting messy enterprise records into model-ready tensors.
Connectors ingest enterprise transactional databases, ERP systems, and internal documents without breaching corporate security perimeters.
Automated pipelines redact customer identities, financial credentials, and proprietary trade secrets under strict HIPAA and GDPR guarantees.
Credentialed domain authorities turn static transactions into step-by-step chain-of-thought demonstrations and multi-turn decision paths.
Tokens stream directly to your GPU training nodes via low-latency S3 buckets, Parquet shards, or authenticated endpoints.
We're focused on company data with a known source and a live workflow behind it, the kind your teams create by doing their jobs.
We deliver dynamic terminal logs, shell commands, and runtime outputs rather than static question-and-answer pairs.
Every token comes with verifiable legal lineage and explicit licensing, preventing model contamination and copyright liability.
