// enterprise

Deploy Dagen
inside your walls

Own the data plane, the model plane, and every compliance control — without giving up the power of autonomous data agents. Deployed in your infrastructure. Operated by your team. Supported by ours.

dagen_agent_core.exe
$ _
Intent declared: daily churn risk report for CEO...
Dispatching 9 specialist agents...
Schema drift detected in billing_events — remediating...
Pipeline deployed & self-healing active [287ms]
LINEAGE_GRAPHLIVE
SRC
dbt
SNOW

Deployment Models

Run anywhere. Your infrastructure, your control

Dagen Enterprise deploys as containerized agents via Kubernetes. Choose any cloud, run on-premises, or combine both in a hybrid topology. All runtime configurations are delivered as Terraform and Helm charts.

Cloud

Amazon Web Services

Deploy on EKS within your private VPC. Integrates natively with EMR, Redshift, S3, and IAM. Full Terraform module provided.

Cloud

Google Cloud Platform

Deploy on GKE with Workload Identity. Integrates with Dataproc, BigQuery, GCS, and Cloud IAM. Helm chart provided.

Cloud

Microsoft Azure

Deploy on AKS within your virtual network. Integrates with Synapse, Azure Blob, and Azure AD for SSO and RBAC.

On-Premises

Private Data Center

Full on-premises deployment on bare metal or VMware Kubernetes. Air-gapped environments supported. No outbound traffic required.

Hybrid

Multi-Cloud / Hybrid

Orchestrate pipelines across on-premises databases, cloud warehouses, and streaming services with secure, low-latency connectors.

Custom

Have a unique topology?

Our solutions architects design custom deployment plans for complex environments.

Talk to Sales →

Platform Capabilities

Enterprise-grade from the ground up

MODEL SOVEREIGNTY

Bring your own LLMs

Run open-source models or your own fine-tuned agents within your private infrastructure. Model weights, prompts, and inference traffic never leave your boundary. Integrate with your existing AI/ML platform or model registry.

IDENTITY & ACCESS

Enterprise SSO & governance

SAML 2.0, OIDC, and SCIM provisioning for enterprise identity providers including Okta, Azure AD, and Google Workspace. Granular RBAC with team-level pipeline isolation, environment-specific permissions, and full audit logging.

DATA RESIDENCY

Data never leaves your perimeter

All pipeline processing occurs within your infrastructure. No data is transmitted to external Dagen systems. You control network egress policies, encryption keys, and storage. Suitable for sovereign data requirements and regulated industries.

HIGH AVAILABILITY

Built for production reliability

Multi-region active-passive or active-active configurations. Automated failover, disaster recovery playbooks, and RTO/RPO guarantees defined in your SLA. Monitoring and observability stack included.

CUSTOM AGENTS

Extend with proprietary agents

Build custom specialist agents tailored to your internal tools, data conventions, and workflows. Plugs into the APF orchestration layer — your agents operate alongside Dagen's nine built-in specialists.

WHITE-GLOVE SUPPORT

Dedicated partnership

A named solutions architect for the duration of your deployment. 24/7 incident response from senior data engineers. Quarterly business reviews, proactive optimization recommendations, and direct escalation paths.

Compliance

Security posture built for regulated industries

Enterprise deployments support a broad range of compliance frameworks. Our team works with your security and legal teams during deployment scoping.

SOC 2

Type II available

GDPR

Data residency controls

HIPAA

PHI handling support

ISO 27001

On roadmap

Encryption

  • TLS 1.3 for all data in transit
  • AES-256 encryption at rest
  • Customer-managed encryption keys (CMEK)
  • Secrets management via Vault or cloud KMS

Audit & Observability

  • Immutable audit log for every agent action
  • Pipeline lineage tracking from source to target
  • Agent decision tracing and explainability logs
  • Integration with your SIEM of choice

What to Expect

A typical enterprise deployment timeline

Most enterprise customers are running production pipelines within 6–8 weeks of contract signature.

1
Week 1–2

Discovery & architecture design

Requirements review, stack assessment, deployment topology finalized. Security review initiated. Terraform/Helm configs customized.

2
Week 2–4

Infrastructure provisioning

Kubernetes cluster deployment, network configuration, identity integration (SSO/SCIM), monitoring stack setup. Acceptance testing with your team.

3
Week 4–6

Data source integration & pilot pipeline

First production pipeline built end-to-end. Agent training on your data conventions begins. Team onboarding and hands-on workshops.

4
Week 6–8

Production rollout

Migration of priority pipelines to Dagen. SLA monitoring activated. Handoff to your team with documentation and runbooks. Ongoing support begins.

READY TO START?

Talk to our enterprise team.

We'll assess your requirements, design a deployment plan, and walk you through the technical architecture in a 60-minute call.

ENTERPRISE FAQ

Common questions

Does Dagen work in air-gapped environments?
Yes. On-premises deployments support full air-gap with no outbound traffic requirements.

Can we use our own LLMs?
Yes. Bring open-source models or your own fine-tuned agents. Weights and inference stay in your boundary.

What are deployment prerequisites?
A Kubernetes cluster (GKE, EKS, AKS, or on-prem), object storage, and network access to your data sources.

Ready to bring autonomous data engineering in-house?

We'll design a rollout plan tailored to your environment, compliance posture, and team structure.