Connect teams, tools, and infrastructure in one visual platform — deployed and governed on your terms.
Keep the identity, infrastructure, data, and code your organization already trusts. OvalBee brings them together without forcing a new operating model.
Use SSO with OpenID Connect or LDAP, apply advanced RBAC across workspaces, and keep audit logs of administrative and workflow activity.
Scale storage without platform caps and run work on your own CPU or GPU infrastructure. Your capacity, quotas, and cost controls stay yours.
Connect Amazon S3, Azure Blob, Google Cloud Storage, and model registries. Use existing data layouts and model files without converting them into an OvalBee-specific format.
Amazon S3
Azure Blob
Google CloudUse the API and SDK to turn internal code, services, and integrations into reusable workflow nodes that operate alongside built-in tools.
def run_node(input):
frames = input.images
result = model(frames)
return resultChoose EU-region storage and processing to keep residency aligned with GDPR requirements and your contractual controls.
Organize encryption, audit history, access evidence, and documentation around the controls your security and legal teams need to assess.
Work with a team that understands your deployment, integrations, and workflows—from the first technical review through production rollout.
Shape the deployment plan, connect core systems, and launch your first production workflow with clear owners and milestones.
Reach people who know your architecture through a shared support channel, without repeating the context in every conversation.
Review performance, reliability, and rollout plans together as new teams and use cases move into production.
Keep workflows observable, controlled, and connected as they move from an engineer’s first run into everyday operation across your organization.
Use our cloud, a dedicated instance, or your own infrastructure without changing how the team builds and operates workflows.
Control who can design, run, review, or administer workflows while keeping members, secrets, storage, and infrastructure settings organized by workspace.
See what is running, waiting, completed, or failed, then inspect progress, duration, logs, outputs, and errors in one place.
Follow a model, report, or export through the runs, dataset versions, annotations, parameters, and artifacts that produced it.
Bring in storage, labeling systems, proprietary models, webhooks, and internal services without rebuilding the surrounding stack.
Yes. Enterprise deployments can be shaped around managed cloud, private cloud, or on-premises infrastructure. We work with your team to define where the control layer, data, and workflow execution should live.
Yes. EU-region options can keep storage and processing aligned with your residency requirements. The exact architecture is documented with your team so data movement and operational boundaries are clear before rollout.
OvalBee can connect to your identity provider and separate administrative, workflow-building, running, and review responsibilities through workspace roles. We help map those roles to how your organization already owns computer vision work.
No. OvalBee is designed to connect the systems you already rely on, including cloud storage, annotation tools, models, internal APIs, and compute infrastructure. Teams can modernize the workflow around those systems incrementally.
Onboarding covers deployment planning, initial workflow design, access and ownership decisions, integration priorities, and training for the people who build, operate, and review workflows.
Yes. A focused evaluation can start with one representative workflow, clear technical and operational success criteria, and the deployment model you expect to use in production.