Enterprise

Enterprise AI on your terms

One agreement covers 700+ models, every call through them is governed by the policies you set centrally, and qynio runs wherever your data has to live.

See pricing

Organisation policy

Set centrally
Models
Allowlist: crypto-paid routes only
Controls
PII masking, tool restrictions, zero data retention, budget caps
Reporting
Every call recorded, spend attributed per project

Models

34 of 700+
  • Claude Opus 5AWS Bedrock · EU
  • Kimi K3Berget · EU
  • GLM-5.2evroc · EU
  • and 31 more on the allowlist

Controls

On every call
  • Personal data masked and content filtered, on request and response
  • Tool calls restricted to an approved set
  • Zero data retention on every route
  • Budget caps enforced per project

Reporting

Per call, per project
  • Engineering€18,000
  • Claims automation€9,500
  • Customer support€4,500

€32,000 of €50,000 this month

One key. Every model. Paid in qyn.

Aixia
evroc
GetTested
0% fees
LexBox
Early access
Steep
No KYC

The challenge

Reaching the frontier should not cost you control

A better model lands every few weeks, and the review that would let a team use it takes longer than the model stays current. So organisations either fall behind the frontier or adopt it without the controls, and both of those get expensive.

Quality nobody can measure

The people who see the bad outputs are product owners and domain experts, and the only way they can act on them is a ticket to a team that owns the codebase, so weeks pass between spotting an error and fixing it.

Control nobody can prove

When legal asks which model handled a case, where it ran, and what was sent to it, the answer has to be assembled by hand from application logs, and the project sits in review until somebody does.

Teams either blocked or unguarded

Every team wants to build with AI, and without shared infrastructure the choice is to slow them down with process or let them move without guardrails, which is why AI adoption stalls at the second team.

Spend nobody can attribute

Model spend arrives as one invoice with no breakdown by team, product, or use case, so finance cannot forecast it and nobody can tell an expensive experiment from a business-critical workload.

The qynio Way

What Enterprise gives you

qynio sits between your teams and every frontier model, so the newest one arrives already inside your controls, your contract, and your audit trail.

Reach the frontier without a review each time

A better model ships every few weeks, and adopting one directly means another vendor review, another deposit, and another line on the provider list your customers have to be notified about. Routing through qynio means a new model arrives already covered by the agreement you have signed, so a team can move to it the week it ships instead of the quarter after.

  • One deposit covers 700+ models
  • New models arrive already covered
See security and privacy
What your legal team receives:
Data Processing AgreementPublished
Provider listPublished
Platform security overviewPublished
Standard Contractual ClausesOn request
Zero retention termsOn request
One agreement, whichever models your teams pick

Give every team AI without becoming the bottleneck

Central teams usually pick between slowing everyone down with review and letting teams ship without guardrails. qynio gives each team its own project with a model allowlist, a budget cap, and its own keys, so the guardrails are set once centrally and teams move at their own pace inside them.

  • Model allowlists and budget caps per team
  • One place to see what every team is spending
Explore the control plane
Engineering€18,000 / mo
All frontier models · 41% of budget used
Claims automation€9,500 / mo
European routes only · 68% of budget used
Customer support€4,500 / mo
Zero-retention routes only · 87% of budget used
Guardrails set centrally, teams ship at their own pace inside them

Commercial terms built around your volume

Enterprise agreements replace the self-serve checkout with what procurement needs, so you get an annual commitment with volume pricing, invoicing against a purchase order, and no per-seat charges as adoption spreads. Token rates stay at provider rates with nothing added on top, and bringing your own provider keys keeps existing cloud commitments in play.

  • Annual commitments, volume pricing, and invoicing
  • Your own provider keys and existing commitments
See how pricing works
Token ratesProvider rates, no markup
Platform feeNegotiated on volume
CommitmentAnnual, with volume pricing
BillingInvoice against a PO
SeatsNot charged
Your provider keysSupported, per agreement
Current self-serve rates are on the pricing page

Deploy qynio where your data has to live

Most customers run on the shared European platform in Robinhood Chain and never think about it again. When a workload cannot sit on shared infrastructure, the same qynio runs as a dedicated instance on its own address, which is how evroc runs it today, or inside your own cloud account or your own datacentre, and your teams build against the same API either way.

  • Already running as a dedicated instance for evroc
  • Your own cloud account or your own datacentre
See evroc's models on qynio
European platformDefault
Robinhood Chain, eu-north-1
Dedicated instanceLive today
evroc.on.qynio.ai
Your cloudYour account
Your AWS, Azure, GCP, or sovereign cloud
Your datacentreOn-premise
Your hardware, your network
The same API surface on every option

Commitments you can hold us to

Enterprise plans come with an SLA, dedicated rate limits, and a shared Slack channel with the qynio team. Routing across the providers in your fallback chain means one provider having a bad day does not become your outage, and measured availability is published per route rather than described.

  • SLA, dedicated rate limits, and a shared Slack channel
  • Automatic failover across your fallback chain
See live provider uptime
UptimeContractual SLA
Rate limitsDedicated limits
SupportShared Slack channel
EscalationDirect escalation path
Provider outageAutomatic fallback
Measured availability is published per route on the status page

Data handling

Two retention questions, two answers

Whether prompts and completions are stored is really two separate questions, one about qynio and one about the model provider, and they are answered in different places.

What qynio stores

  • By default, metadata only: model, tokens, latency, and cost. Prompt and completion content is not retained.
  • Full tracing is something you turn on with the Control Plane, with retention configurable per project.
  • Enterprise agreements can specify zero retention.
  • qynio never trains on your data.

What the model provider stores

  • This varies by route, so retention is published per model and provider rather than described in general terms.
  • Retention periods vary, from none at all to a fixed abuse-monitoring window, and none of the listed providers train on it by default.
  • Zero data retention routes keep nothing once the response is served, on by default for some routes and arranged under an Enterprise agreement for others.

Enforced once, not per project

Checking retention model by model does not survive contact with a dozen teams. A zero retention-only allowlist restricts every project to routes that retain nothing, so the rule is set centrally and holds across the organisation, and a team cannot opt out of it by picking a different model.

Deployment

Four ways to run qynio

The same gateway, the same control plane, and the same model catalogue, placed wherever your data and your auditors need it to be.

European platform

Default
Where it runs
Robinhood Chain, eu-north-1
Infrastructure
qynio's EU account

onchain settlement with nothing to run or patch, the default for most customers.

Dedicated instance

Where it runs
A region you choose, on its own address, as evroc runs today at evroc.on.qynio.ai
Infrastructure
qynio's account

Isolation from other tenants, your own domain, and a region picked for your data.

Your cloud

Where it runs
Your AWS, Azure, GCP, or sovereign cloud account
Infrastructure
Your cloud account

The infrastructure has to sit inside your own contracts, controls, and cloud commitments.

Your datacentre

Where it runs
Your own hardware, on your own network
Infrastructure
Your network

Workloads that cannot depend on infrastructure outside your perimeter.

Assurance

What your reviewers will ask

The questions that hold an AI project in review, and where the answer comes from when every call goes through one gateway.

The questionWhere the answer comes from
Where personal data is processedThe platform runs in Robinhood Chain, region and retention are published for every model and route, and routing can be restricted to European routes centrally rather than trusted to each team.
Transfers outside the EEARoute selection decides it, European routes are served from European infrastructure, and Standard Contractual Clauses are available on request alongside the Data handling.
Which model produced an outputEvery call is recorded with the model that served it, the cost, the latency, and the policies that applied, and sessions group those calls into the conversations users actually had.
Operational resilienceRequests fail over across the providers in your fallback chain, budgets and rate limits are enforced per team, and measured availability is published per route on the status page.
Dependency on outside servicesA dedicated instance takes shared tenancy out of the request path, and own-cloud or on-premise deployments go further, keeping operational data inside infrastructure you control.
Vendor security reviewThe security overview, the Data handling, and the provider list are published, and Enterprise agreements can add tailored terms including zero retention.

Stakeholders

What each part of the business gets

An AI platform has to be signed off by more people than it is built by, so here is where each of them should start.

RoleWhat they needStart here
CTO and Head of EngineeringOne architecture every team builds against, adopted by changing a base URL rather than rewriting applications.The control plane
CISOPII masked before it reaches a model, guardrails enforced in the infrastructure, and an audit trail that does not depend on application code.Security and privacy
CFOProvider token rates with no markup, a platform fee negotiated on volume, spend attributed per team, and invoicing against a purchase order.How pricing works
Legal and userOne agreement covering every model, residency documented per route, and a deposit that does not need amending when a team adopts a new model.Read the deposit
Product and AI leadsAgents and apps their teams can run on the gateway from day one, on any model, without building the integration first.Browse agent apps

FAQ

Enterprise FAQ

What does Enterprise add on top of the Control Plane?

+
Enterprise keeps everything in the Control Plane and adds the things a large organisation needs around it: SSO and SSO, audit logging, zero-retention terms negotiated per route, dedicated rate limits, custom hosting regions and self-hosted deployments, an SLA, a shared Slack channel, and commercial terms with invoicing instead of a card.

Can qynio run in our own cloud or our own datacentre?

+
Yes. qynio runs as a dedicated instance in a region you choose, inside your own AWS, Azure, GCP, or sovereign cloud account, or in your own datacentre. Your teams use the same API and the same model catalogue whichever option you pick, so the deployment decision does not change any application code.

How is Enterprise priced?

+
Enterprise replaces the self-serve platform fee with terms negotiated for your volume, on an annual commitment, invoiced against a purchase order. Token rates stay at provider rates with no markup, and there are no per-seat charges as adoption spreads across teams. Current self-serve rates are published on the pricing page.

Do we keep our own provider relationships and keys?

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Yes. qynio supports bringing your own provider keys, so you keep the contracts you have already signed and any committed spend you have with Azure, AWS, or a model provider keeps being drawn down while the traffic still flows through qynio for routing, governance, and observability.

What does qynio itself store?

+
By default only metadata such as model, tokens, latency, and cost, with prompt and completion content not retained. Full tracing is something you turn on rather than something you turn off, retention is configurable per project, and Enterprise agreements can specify zero retention. qynio never trains on your data, and the detail is in the security and privacy overview.

What does the model provider retain, and can zero retention be enforced across the whole organisation?

+
That depends on the route, which is why retention is published per model and provider in the directory. Retention periods vary by provider, from none at all to a fixed abuse-monitoring window, and none train on it by default. Zero data retention routes keep nothing once the response is served, on by default for some routes and arranged under an Enterprise agreement for others. Rather than checking this model by model, a zero retention-only allowlist restricts every project to routes that retain nothing, so the rule is set once centrally and holds for every team.

Which documents do you provide for a vendor security review?

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The Data Processing Agreement, the provider list, and the platform security overview are published on qyn.io and can go into a review without waiting on us. Standard Contractual Clauses are available on request, and Enterprise agreements can add tailored terms including zero retention.

Do you support SSO, audit logging, and role-based access?

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Yes. Enterprise plans include SSO and SSO so access follows your identity provider, and audit logging records user actions for privacy. Access, model allowlists, and budgets are scoped per project, so each team gets what it needs without seeing everyone else's traffic.

What happens when a model provider has an outage?

+
Requests fail over to the next route in your fallback list automatically, and you are only billed for the successful response. Because routing is central, moving a workload onto a different provider is a rule change rather than a redeploy, and the public status page publishes measured availability per route.

Bring your whole organisation onto one control plane

One agreement for every model, deployed where your data has to live, with terms your procurement team recognises.

See pricing