Adema

Service Level Expectations

Document owner: SH Proptech Limited

Effective date: 28 February 2026 | Version 1.0

IMPORTANT NOTICE

This document sets out service level expectations ("expectations"), not contractual guarantees. These expectations describe the level of service Adema aims to deliver. They do not create binding SLA obligations, service credits, or compensation rights. Enterprise customers with Order Forms may have contractual SLAs that override this document.

Key pointSummary
Nature of this documentService level expectations, not a contractual SLA for standard users.
Uptime targetWe target 99.5% monthly uptime for the web platform and API.
Support responseResponse times are target-based by severity and plan; enterprise response targets are governed by Order Form SLAs.
Maintenance windowsRoutine maintenance is scheduled Tuesday 02:00-04:00 UTC, with major updates announced in advance where possible.
Incident communicationsActive incidents are communicated on the status page, with post-mortems for P1/P2 incidents.
Enterprise priorityIf an Order Form includes SLA terms, those terms override this baseline document.

1. Scope

1.1. This document applies to all access tiers (Free, Token, Subscription) unless stated otherwise.

1.2. Enterprise customers with Order Forms: if your Order Form includes a Service Level Agreement (SLA), the SLA governs and this document is for reference only.

1.3. The Free Tier is provided on an "as available" basis. While we aim to meet the expectations below, Free Tier users have no service level commitments.

2. Platform Availability

2.1 Uptime target

We aim for 99.5% monthly uptime for the Platform (web application and API), measured as: ((Total minutes in month − Downtime minutes) ÷ Total minutes in month) × 100.

2.2 What counts as downtime

Counts as downtimeDoes NOT count as downtime
Platform inaccessible to all users for >5 consecutive minutesScheduled maintenance (clause 3)
Core features (AI queries, reports, Token ledger) unavailableThird-party service outages beyond our control (e.g., AWS region failure, AI model provider downtime)
API returning 5xx errors for >5 consecutive minutesInternet connectivity issues on the user's side
Login/authentication system unavailableDegraded performance that does not prevent feature use
 Issues affecting a single user due to their account or device

2.3 Status page

Real-time and historical availability is published at status.adema.ai. Users can subscribe to incident notifications via email or RSS.

3. Scheduled Maintenance

3.1 Maintenance windows

Routine maintenance is scheduled during low-usage periods:

WindowTimingExpected durationNotice
Weekly maintenanceTuesday 02:00-04:00 UTCTypically <30 minutesPermanent schedule (no per-event notice)
Major updatesAs needed, same window preferredUp to 2 hours48 hours' advance notice via status page and email
Emergency patchesAs needed (any time)As short as possibleRetrospective notice within 24 hours

3.2 Zero-downtime deployments

We aim to deploy updates with zero downtime (rolling deployments). Where downtime is unavoidable, it is limited to the maintenance window and communicated in advance.

4. Support Response Times

4.1 Support channels

ChannelAvailabilityAccess tiers
Email (support@adema.ai)Monday-Friday, 09:00-18:00 UK timeAll tiers
In-app chatMonday-Friday, 09:00-18:00 UK timeSubscription and Enterprise
Priority supportExtended hours per Order FormEnterprise (Order Form)

4.2 Response time targets

These are targets, not guarantees. Response time = time from ticket creation to first substantive human response (not an auto-acknowledgment).

SeverityDescriptionFree Tier targetToken / Subscription targetEnterprise target
Critical (P1)Platform completely unavailable or data loss occurringBest effort4 business hours1 hour (per SLA)
High (P2)Major feature broken, no workaroundBest effort8 business hours4 business hours
Medium (P3)Feature degraded, workaround availableBest effort2 business days1 business day
Low (P4)Minor issue, cosmetic, feature requestBest effort5 business days3 business days

4.3 Severity classification

We assign severity based on impact and urgency. You may request a severity upgrade if you believe your issue has been misclassified. Severity is reviewed on a best-effort basis.

5. Incident Communication

5.1 Incident lifecycle

StageActionTiming
DetectionIncident identified (monitoring alert or user report)As soon as possible
AcknowledgmentStatus page updated to "Investigating"Within 15 minutes of detection
UpdatesRegular status updates during active incidentEvery 30 minutes (P1) or every 2 hours (P2)
ResolutionStatus page updated to "Resolved"When service is restored
Post-mortemRoot cause analysis published (for P1/P2 incidents)Within 5 business days of resolution

5.2 Post-mortem reports

For Critical and High severity incidents, we publish a post-mortem including: timeline, root cause, impact summary, remediation steps, and preventive measures. Post-mortems are published on the status page.

6. Performance Expectations

MetricTargetNotes
Web page load time<3 seconds (p95)Measured from UK-based test locations
AI query response<30 seconds (typical), <120 seconds (complex)Depends on query complexity and AI model
API response (non-AI endpoints)<500ms (p95)Standard CRUD operations
Report generation<60 seconds (standard), <5 minutes (comprehensive)Depends on report scope
Token balance updateReal-time (within 2 seconds of consumption)

Performance targets are indicative. Actual performance depends on query complexity, data volume, concurrent load, and third-party dependencies.

7. Data Durability and Backup

7.1. We maintain automated daily backups of all user data and the Token ledger.

7.2. Backups are stored in a separate geographic region from the primary infrastructure.

7.3. We target a Recovery Point Objective (RPO) of 24 hours and a Recovery Time Objective (RTO) of 4 hours for disaster recovery.

7.4. These are operational targets, not contractual guarantees. Enterprise customers may negotiate binding RPO/RTO in their Order Form.

8. Exclusions

These expectations do not apply to:

  • Beta or experimental features (which are provided "as is").
  • Third-party integrations, APIs, or services not operated by Adema.
  • Issues caused by the User's own equipment, software, or internet connection.
  • Force majeure events (natural disasters, wars, government actions, pandemics, widespread internet outages).
  • Periods where the User's account is suspended for breach of the Terms or AUP.

9. Remedies

9.1. This document does not create contractual service credits, refund rights, or compensation entitlements.

9.2. If we consistently fail to meet the expectations in this document, you may raise the issue through our complaints process (ToS clause 14.10).

9.3. Enterprise customers with SLAs in their Order Forms have contractual remedies as specified in those SLAs (which may include service credits).

9.4. If you believe prolonged service failures amount to a material breach of the Terms of Service, you may exercise your termination rights under ToS clause 10.

10. Changes

We may update this document at any time. Material changes (to uptime targets, support hours, or response times) will be notified with 30 days' notice. The effective date above indicates the latest revision.

End of Adema Service Level Expectations (v1.0, 28 February 2026)