Uptime
99.99%SLA met(30d)
14 weeks
Self-hosting
Enterprise analytics with your network, your keys, and your controls. No data leaves the perimeter.
System/Deployment
Last 24h
Self-hosted deployment
Helm · 3 nodes · region eu-west-1 · upgraded 4d ago
Active users
142+31%(108)
14 weeks
Queries today (K)
8.2K+58%(5.2K)
14 weeks
Requests per minute
Last 24h · all egress within VPCIdentity
Okta SSO · SCIM
142 users · 18 groups
Network
vpc-prod · private DNS
3 subnets · no egress
Models
Bedrock · BYO keys
Claude 3.7 · GPT-5.5
Data
12 sources · governed
Query log retention 90d
Pick the rollout that fits your stack, from a single command to a full Helm chart.
Agent
15 minFastest path. Paste a single command, get a guided default deployment.
$ curl "https://<hub>/api/v1/connect?targetId=<id>" | docker compose -f - up -d
Container
25 minStandard Docker runtime with simple networking and your own compose stack.
$ docker login registry.distr.sh && docker compose pull && docker compose up -d
Kubernetes
45 minEnterprise rollout with cluster policies, GitOps, and full Helm control.
$ helm install basedash basedash/basedash-charts -f values.yaml
Govern identity, network, models, and data inside a boundary you draw.
your-vpc · eu-west-1
Identity
SSO and SCIM
Network
VPC and peering
Models
Bring your own keys
Data
Governed query access
0 bytes to public internet
Compliance
- SOC 2 Type IIAnnual audit, continuous monitoring
- HIPAA-readyPHI workflows with strict access boundaries
- ISO 27001 alignedMapped to enterprise governance programs
- GDPR supportRegional residency and data subject rights
Self-hosting FAQ
What does self-hosted Basedash mean for enterprise analytics teams?
Self-hosted Basedash lets your organization run AI-native business intelligence inside infrastructure you control. Your team defines networking, identity boundaries, and operational policies while still delivering modern dashboards, reporting, and AI-assisted analysis to internal users.
Which deployment methods are available for self-hosted Basedash?
Basedash supports multiple deployment paths, including guided agent installation, Docker-based setups, and Kubernetes rollouts. Teams can choose the option that matches their platform maturity, release process, and existing observability or policy tooling.
Can self-hosted Basedash support SOC 2, HIPAA, ISO 27001, and GDPR requirements?
Self-hosted deployments are designed for organizations operating under strict compliance and governance standards. Teams can align deployment architecture and access controls with SOC 2 programs, HIPAA-ready environments, ISO 27001 initiatives, and GDPR obligations based on internal requirements. See our compliance and security pages for details.
Can we bring our own AI model provider, keys, and retention policies?
Yes. Self-hosted teams can define model-provider choices, key management policies, and retention controls that match procurement and security requirements. This gives enterprises flexibility to align analytics workflows with existing vendor, legal, and governance programs.
How quickly can teams go live with self-hosted Basedash?
Many teams can reach an initial deployment quickly, then expand to production controls and broader rollout phases based on internal change management. Basedash helps teams move from installation to trusted dashboards fast while preserving enterprise approval and audit processes.