ConceptCare

Pricing

Plans that scale with your AI deployment.

Every plan includes the agent builder, workflow automation, monitoring and row-level data isolation. Request volume, agent count and support depth scale with the tier.

Starter

For teams deploying their first AI agents.

$499/ month

  • 3 AI agents
  • 50k AI requests / month
  • 5 data connectors
  • Workflow automation
  • Email support
Start with Starter
Most deployed

Growth

For scaling automation across departments.

$1,899/ month

  • 15 AI agents
  • 500k AI requests / month
  • Unlimited data connectors
  • Advanced analytics
  • SSO & audit logs
  • Priority support
Start with Growth

Business

For multi-team, multi-region deployments.

$4,900/ month

  • Unlimited AI agents
  • 2.5M AI requests / month
  • Private model routing
  • Granular permissions
  • Custom integrations
  • Dedicated success engineer
Start with Business

Enterprise

For regulated, global AI operations.

Custom

  • Custom request volume
  • Dedicated or GPU-accelerated inference capacity
  • Private networking & data residency
  • Custom education agents
  • Advanced security review
  • 24/7 enterprise support
Contact Sales

Prices are listed in USD and billed annually or monthly. Request volume overages are billed per thousand AI requests.

FAQ

Common questions

How long does a first deployment take?
Most institutes put a scoped agent into production within a few weeks: connect your data, define instructions and permitted actions, run an evaluation set, then roll out to one batch before expanding.
Where does ConceptCare run?
ConceptCare runs as a managed cloud platform, with hybrid and customer-managed inference capacity available for larger deployments.
Do you train models on our data?
No. Your institute's data is used to ground and execute your agents. Training on customer data is not part of the default architecture.
How is access controlled?
Platform roles and institute roles combine with row-level database policies, so people and agents only reach the data belonging to their institute.
Can we bring our own models?
Yes. Model management routes workloads across providers and self-hosted endpoints per workload sensitivity, latency and cost.

Running a multi-branch institute?

Our team will scope volume, deployment model and security review with you.