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Pricing

Three plans · Private beta

Priced for the way you ship

Research is free once provisioned in private beta. Request access for the evals CLI; pay when Hyperpriors sits in the loop for production traffic.

01 — Tiers

Three ways in.

01

Research

For measuring before you ship. The evals CLI on your laptop, one project, and a community to compare notes with. Not self-serve yet — request access and we open a workspace.

Evals CLI · One project · Community

Free

Private beta · provisioned

02

Production

The full control plane for teams with users on the other end. Every provider, every instrument, and someone notified when a guardrail fires.

Full control plane · All providers · Slack escalation

Per seat

Billed monthly

03

Regulated

For teams whose auditors have questions. Immutable audit trails, data residency, and single sign-on across the plane.

Audit trails · Data residency · SSO

Talk to us

Annual agreement

02 — Comparison

What each tier holds.

FeatureResearchProductionRegulated
MeasureEvaluation before anything reaches a user.
Evals CLIGolden sets and suites, run anywhereIncludedIncludedIncluded
Merge gatesFail the build when behaviour regressesIncludedIncludedIncluded
Judge calibrationLLM judges checked against human labelsNot includedIncludedIncluded
ProjectsSeparate systems under one account1UnlimitedUnlimited
Model providersOne interface across every provider we support1AllAll
ControlThe runtime between your model and the world.
Harness runtimeTool mediation, bounded retries, escalationNot includedIncludedIncluded
Guardrail policiesBoundaries declared in code, enforced at runtimeNot includedIncludedIncluded
Slack escalationUncertainty routed to a person, not a log fileNot includedIncludedIncluded
Trace retentionEvery run replayable, byte for byte7 days90 daysCustom
AssureEvidence for the people who ask for evidence.
Audit trailsImmutable record of every decision and changeNot includedNot includedIncluded
Data residencyTraces stay in the region you nameNot includedNot includedIncluded
SSO / SAMLYour identity provider, everywhereNot includedNot includedIncluded
SupportFrom forum thread to named engineerCommunityPriorityDedicated

Every tier includes the same instruments where listed — no feature-gated dashboards, no artificial ceilings.

03 — Field note

From the field

“Clinicians didn't want a scribe that was confident all the time. They wanted one that knew when to say 'check this'. Once the drafts started flagging their own weak points, the conversation in our user interviews changed completely.”
A clinical documentation platformHealthcare technology
Read the case study

04 — Questions

Asked often, answered plainly.

01What does Hyperpriors actually do?

It is the control plane around your production AI systems: harnesses that mediate what a model can touch, evaluation suites that gate what ships, guardrails that enforce boundaries at runtime, and observability that records every step. Your models stay yours; we hold the layer that decides how much to trust them.

02Which model providers do you support?

Every major hosted provider and open-weight models behind one interface, including fine-tuned variants. Swap providers without rewriting your product, and diff behaviour across them in the same eval suite.

03Do prompts and traces leave our infrastructure?

Traces are stored encrypted, retained for your tier's window, and never used to train anything. On the Regulated tier they stay in the region you name, and self-hosted trace storage is part of the agreement.

04How long does installation take?

One command installs the CLI, and the first trace typically appears in under a minute. The harness wraps your existing calls; there is no rewrite, no proxy migration, and no SDK lock-in.

05Can we run evaluations in CI?

Yes — that is the intended home for them. Golden sets run as merge gates, so a pull request that regresses behaviour fails the build with a diff of exactly which cases moved and by how much.

06What happens when a guardrail fires?

Whatever the policy declares: block the output, flag it and continue, or route the run to a person. On the Production tier, escalations land in Slack with the full trace attached, so the reviewer sees what the model saw.

07Is this only for chatbots?

No. Most of our customers run pipelines, agents, and extraction workloads where no chat window exists. If a model's output reaches a user, a record, or another system, it can sit behind the plane.

08How is Hyperpriors priced?

Research is free: the evals CLI, one project, community support. Production is per seat with the full control plane. Regulated is an annual agreement with audit trails, data residency, and SSO. There is no usage-based metering on any tier.