Pricing
Choose how you put AI under supervision.
Prove the integration works for free. Pay when a real workflow enters production. Talk to us when the deployment is consequential or regulated.
Start free. Pay when an AI workflow goes into production.
Each action routed through Glacis can leave a signed record. What changes is how much of the service we run for you, how far back you can answer, and what deployment and support the workflow requires.
Developer / self-serve
Explore
No card. Prove the integration works.
- 1,000 signed receipts a month
- 30-day receipt retention
- Console, live event stream, in-browser verification
- Self-hosted SDK free forever, self-signed receipts
- Pauses after 30 idle days, one click to wake
Production
Production
14-day trial, no card. Month to month is $1,195.
- A dedicated arbiter, signing from the first operation
- 1,000,000 receipts a month, then $5 per 10,000
- 12-month retention, so last quarter is still answerable
- Evidence packs for security reviews and audits
- Independent witnessing with inclusion proof
- Onboarding working session for the first workflow and evidence boundary
Then $995 a month, billed annually
Enterprise
Consequential deployment
Annual agreement, from $36,000.
- Everything in Production
- Private connectivity and deployment in your own environment
- Regulated workflows and assurance requirements
- Retention set to your record-keeping obligation
- Named support, SLA, and help through customer security reviews
Building at a startup?
Preferred pricing by application — $99/mo billed annually, or $129 month to month. Under $5M raised or under two years old.
The meter is signed receipts, not seats and not agents. You are billed for the thing the Console proves, which makes the invoice as verifiable as the product.
Signed proof that runtime controls executed.
Runtime controls execute locally and generate signed receipts written to the OVERT 1.1 open standard. Receipts chain, and third parties can verify control execution without seeing the sensitive payload.
- • OVERT-conformant signed receipts, assembled into evidence packs
- • Framework exports: NIST AI RMF, ISO 42001, EU AI Act, OSCAL
- • Zero sensitive-data egress: evidence packs assembled from local receipts
Pricing FAQ
Is the free tier really free?
Yes, and there is no card. The hosted free tier covers 1,000 signed receipts a month with 30 days of retention — enough to integrate, prove it works, and show a colleague. If you want it unmetered, run the self-hosted SDK: free forever, no cap, no retention limit, because when you run it yourself it costs us nothing to let you. A free workspace parks itself after 30 idle days and wakes on one click.
Why does the free tier only keep evidence for 30 days?
Because retention is the honest place to draw the line. Signing an action is cheap; keeping the proof available for the day somebody finally asks is the part that costs money and the part that carries the value. If a decision from last quarter has to be answerable, that is a paid plan.
What counts as a receipt?
One governed action. Not a token, not a request, not a seat. You are metered on the exact thing the Console shows you, so the invoice can be checked against the evidence the same way a customer checks your receipts.
What happens if we go over the included count?
Overage runs at $5 per 10,000 receipts on Production. Nothing stops signing and nothing gets dropped, because a gap in the record is the one failure mode this product exists to prevent. We talk to you before anything unusual reaches an invoice.
How does Production onboarding work?
We start with a working session to map one consequential workflow, its intended rule, control path, evidence boundary, and the person who needs to review what happened. We agree the exact onboarding and activation sequence with you.
Is there a startup rate?
Yes, by application: $129 a month, or $99 a month billed annually up front, for companies under $5M raised or under two years old with an AI product in market. Participants in partner programs and state AI sandboxes qualify automatically. We review applications within one business day. Apply here.
We already use Vanta/Drata. Do we need GLACIS?
Vanta and Drata document that the policies exist. Glacis proves they were followed at runtime. They’re complementary. Together they close the AI evidence gap.
Start with one consequential AI workflow.
Talk to us about what the AI can do and the rule that matters, or prove the integration yourself for free.