> ## Documentation Index
> Fetch the complete documentation index at: https://docs.encord.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Enterprise AI Overview

> Run AI programs securely and at scale, with governance, visibility, and control across large teams and deployments.

Encord provides the data foundation for **firmwide AI initiatives** — bringing data management, curation, annotation, and evaluation into a single platform. This eliminates fragmented infrastructure, reduces engineering overhead, and accelerates time to production.

***

## Who this is for

Enterprise teams that need to:

* Deploy AI workflows across large, distributed teams
* Meet strict security, compliance, and data governance requirements
* Maintain quality and consistency across annotation workforces
* Scale data operations without scaling engineering effort

***

## Key capabilities

### Unified data infrastructure

Consolidate fragmented datasets into a **firmwide hub** for data ingestion, organization, and access. Connect your existing cloud storage (AWS, GCP, Azure) without moving data, and manage structured, unstructured, and multimodal data in one place.

* Native integrations with private cloud buckets
* Metadata filtering, embedding plots, and natural language search
* Folder-based organization with fine-grained access controls

### Scalable annotation and review

Label and review data at enterprise scale with tools designed for large, distributed annotation teams.

* Support for **video, image, DICOM, document, text, and audio** data types
* AI-assisted labeling with integrations to SAM2, GPT-4o, Gemini, and YOLO
* Customizable QA workflows with performance analytics at team and individual level
* RLHF and human-in-the-loop (HITL) workflows up to **3x faster**
* Reported **60–80% reduction in labeling costs** on high-complexity use cases

### Workforce and project management

Coordinate annotation workforces and track progress across the organization.

* Role-based access control (annotators, reviewers, team managers, admins)
* Task assignment, prioritization, and queue management
* Audit trails and performance reporting at the annotator, team, and project level
* No-code workflow builders for creating repeatable annotation pipelines

### Flexible deployment

Choose the deployment model that fits your security and infrastructure requirements:

* **Cloud** — Encord-managed, hosted on Google Cloud Platform
* **VPC** — Deploy within your own virtual private cloud
* **On-premise / air-gapped** — For environments with strict data residency requirements

Data never leaves your own storage. Encord never shares customer data with third parties.

### Security and compliance

Encord is built to meet the requirements of regulated industries and security-conscious organizations.

* **SOC 2 Type II** certified
* **HIPAA** compliant
* **GDPR** compliant
* Encryption at rest and in transit
* You always own your labels, data, and models

See [Security and Compliance](/solutions-documentation/enterprise-ai/security-and-compliance) for full details.

### Enterprise support

Encord delivers a white-glove onboarding and support experience:

* Dedicated customer success managers
* Technical integration support
* SLA-backed response times

***

## Platform architecture

Enterprise deployments are built on Encord's cloud-native architecture, designed to handle petabytes of multimodal data and large annotation workforces without performance degradation.

See [Platform Architecture](/solutions-documentation/enterprise-ai/platform-architecture) for infrastructure details, including how data flows through the platform, how access is controlled, and how deployments are structured.

***

## Where to go next

* [Platform Architecture](/solutions-documentation/enterprise-ai/platform-architecture) — infrastructure, deployment models, and data flow
* [Security and Compliance](/solutions-documentation/enterprise-ai/security-and-compliance) — certifications, controls, and data governance
* [Scaling and Operations](/solutions-documentation/enterprise-ai/scaling-and-operations) — workforce management, QA, and reporting
* [Annotation and Curation](/solutions-documentation/applied-ai/annotation-and-curation) — labeling workflows and quality control

Or jump directly to the [Platform documentation](/platform-documentation/GettingStarted/gettingstarted-welcome) if you're ready to get started.