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Enterprise

Enterprise AI Data
Infrastructure

For organizations deploying AI at scale, data quality is a competitive moat. DATALENT provides dedicated enterprise data programs from private pipeline deployments to strategic data partnerships.

Enterprise Offerings

Built for Serious AI Teams

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Private Pipeline Deployment
Deploy DATALENT's full pipeline inside your private cloud or on-premise infrastructure. Your data never leaves your security perimeter. Full annotation, QA, and compliance processing within your boundary. Supports AWS, GCP, Azure, and on-premise Kubernetes.
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Custom Dataset Programs
Dedicated data programs built around your specific model architecture and use case. We work directly with your ML team to define schemas, difficulty distributions, and quality criteria. Ongoing delivery with milestone checkpoints.
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Dedicated Annotation Teams
For enterprise clients with ongoing high-volume annotation needs. Dedicated teams with your labeling tools, style guides, and SLA-backed turnaround. Weekly performance reporting and direct communication channels.
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Data Strategy Consulting
Senior ML engineers work with your leadership to develop a multi-year data strategy. Identifying data moats, building proprietary dataset advantages, and designing evaluation frameworks for your AI roadmap.
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Compliance & Legal Support
Full compliance documentation package with every enterprise dataset: provenance records, consent certificates, PII removal audit logs, and compliance reports. We have worked with Fortune 500 legal teams on AI data governance frameworks.
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API & Systems Integration
Enterprise-grade API access with SSO, role-based access controls, audit logging, and SLA uptime guarantees. Pre-built connectors for major ML platforms. Custom integration support for proprietary data infrastructure.

Let's Build Your Data Program

Enterprise engagements start with a strategic conversation. Tell us about your AI roadmap and data requirements.

Talk to Enterprise Sales →
FAQ

Enterprise Questions

What does private pipeline deployment involve?
We deploy our complete data processing pipeline inside your infrastructure — capture connectors, annotation tooling, QA automation, PII detection, and compliance reporting. This runs on your cloud environment (AWS, GCP, or Azure) or on-premise Kubernetes. Your proprietary data never leaves your perimeter. We provide setup, training, and ongoing support. Deployment typically takes 4 to 8 weeks depending on environment complexity.
How is pricing structured for enterprise engagements?
Enterprise pricing is scoped based on: data volume, annotation complexity, domain expertise required, compliance requirements, and whether you need private deployment or shared infrastructure. We work on annual contracts with volume commitments that provide cost predictability for your team. For initial conversations, we typically need a rough estimate of data volume and timeline to scope a proposal. Contact our enterprise sales team to start the conversation.