Early Access · Governance-First AI Routing

The governance layer between your business and your AI.

ModelOps routes every AI request to the right provider, enforces your policies, and logs every decision — so your organisation stays in control as AI usage scales.

Request Early Access See How It Works

The Problem

Most organisations don't have one AI problem. They have twelve.

You started with one provider. Then added another. Then a third for voice. Now you have OpenAI for reasoning, Claude for documents, Gemini for search, a local model for sensitive data, and an OCR system that nobody documented.

Each provider has different costs, different strengths, different compliance requirements — and no single place to see what's being used, why, or by whom.

That's not an AI strategy. That's drift.

Provider Sprawl

Multiple models, multiple keys, multiple billing accounts. No unified view.

Governance Gaps

No policy enforcement. No audit trail. No way to explain decisions to a regulator.

Cost Opacity

Usage scattered across providers. No visibility into what's being spent or why.

How It Works

One control plane. Every AI provider.

Step 01

Request Enters

A request arrives from any team or system. ModelOps receives it through a single unified API endpoint — no provider-specific integration needed.

Step 02

Policy Evaluated

Governance policies run automatically. Which providers are approved? Is human approval required? Does data residency apply? Decisions are made in milliseconds.

Step 03

Routed With Reason

The request is sent to the most appropriate provider. The routing decision, the policy that triggered it, and the outcome are logged to the audit trail.

Governance Layer

Control is not a feature. It's the foundation.

Most AI routing platforms optimise for speed. ModelOps optimises for control. Every feature exists to give your organisation more visibility, more authority, and more accountability over how AI is used.

Provider Routing

Route requests to the right provider based on task type, team, cost policy, or capability. Coding tasks, document analysis, reasoning, and voice can each go to the most appropriate model.

Governance Policies

Define which providers may be used, by whom, under what conditions. Block specific providers. Enforce data residency rules. Apply organisation-wide controls without touching individual integrations.

Routing Transparency

Every routing decision includes a reason. Know exactly which policy triggered, which provider was selected, and why an alternative was rejected. No black boxes.

Audit Trails

Every request, every decision, every policy evaluation is logged. Produce an audit report for any time window. Built for organisations that need to explain their AI usage to a regulator, a board, or a client.

Provider Health

Monitor the status of every configured provider in real time. Healthy, degraded, or blocked — ModelOps surfaces provider state before your teams feel the impact.

Approval Workflows

Coming Soon

Define which request types require human approval before proceeding. High-risk tasks, regulated workloads, sensitive data — nothing moves without authorisation.

Use Cases

Built for the teams operating AI at scale.

For AI agencies

Operate multiple client environments without losing control.

You're managing AI solutions for a portfolio of clients. Each has different providers, different governance requirements, and different risk appetites. ModelOps gives you a single layer to apply client-specific policies, route to the right models, and produce audit evidence — without rebuilding governance for every engagement.

Key outcomes

Per-client governance policies
Routing transparency for client reporting
Audit trails you can share
Provider cost allocation by client

For software companies

Abstract your AI provider layer before it becomes a liability.

You've shipped with one provider. Now you need failover, cost controls, and the ability to swap models without rebuilding your product. ModelOps sits between your application and your providers — adding governance, routing logic, and observability without changing how your product calls AI.

Key outcomes

Provider abstraction and failover
Model selection by task type
Usage visibility across features
Compliance controls for regulated markets

For enterprise AI teams

Governance first. Then scale.

Your organisation is adopting AI across multiple departments. Finance, Legal, HR, Customer Service — each with different tools, different providers, and different risk profiles. ModelOps gives you a control plane: policy enforcement, approval gates for sensitive requests, and a unified audit log that satisfies your information security team.

Key outcomes

Organisational policy enforcement
Approval workflows for high-risk requests
Department-level usage reporting
Single audit trail across all AI usage

For IT consultancies

Deliver AI systems that your clients can govern.

Your clients are asking for AI. They're also asking who approved that, what data it touched, and can we turn it off. ModelOps lets you build AI systems with governance built in from day one — routing controls, policy configuration, and audit trails that make your delivery credible and your client's compliance team comfortable.

Key outcomes

Governance-ready AI delivery
Client separation and access control
Audit evidence for compliance reviews
Operational controls post-handover

API-First Design

Integrate once. Control everything.

ModelOps exposes a clean REST API. Route requests through a single endpoint. Query routing decisions. Manage governance policies programmatically.

            
            
            
          
POST https://api.skyx.co.uk/modelops/v1/route
Authorization: Bearer {your-api-key}
Content-Type: application/json

{
  "task_type": "document_analysis",
  "requester": "finance-team",
  "payload": {
    "prompt": "Summarise the key liability clauses in this contract.",
    "document_id": "doc_8f3a9c"
  }
}

// Response
{
  "request_id": "req_4829af",
  "provider": "claude-3-5-sonnet",
  "routing_reason": "document_analysis capability match",
  "policy_applied": "DOCUMENT_ANALYSIS_v2",
  "approval_required": false,
  "audit_id": "audit_8471",
  "status": "routed"
}
GET https://api.skyx.co.uk/modelops/v1/decisions?team=finance-team&from=2026-06-01
Authorization: Bearer {your-api-key}

// Response
{
  "decisions": [
    {
      "request_id": "req_4829af",
      "timestamp": "2026-06-23T09:41:22Z",
      "provider": "claude-3-5-sonnet",
      "policy": "DOCUMENT_ANALYSIS_v2",
      "status": "routed",
      "requester": "finance-team"
    }
  ],
  "total": 142,
  "page": 1
}
GET https://api.skyx.co.uk/modelops/v1/providers
Authorization: Bearer {your-api-key}

// Response
{
  "providers": [
    { "id": "claude",  "status": "healthy",  "latency_ms": 340 },
    { "id": "openai",  "status": "healthy",  "latency_ms": 290 },
    { "id": "gemini",  "status": "blocked",  "reason": "data_residency_policy" }
  ]
}

Full API reference available in early access. View Documentation →

Pricing

Straightforward pricing, once we're ready for you.

ModelOps is in active development. Pricing is invite-only during early access. The tiers below reflect our intended model — exact figures confirmed at general availability.

Starter

Single team, getting started with AI governance

Pricing at GA

Invite-only during early access

Up to 3 AI providers
Basic routing rules
Audit log (30 days)
Standard support

Join Early Access

Professional

Growing teams managing multiple AI deployments

Pricing at GA

Invite-only during early access

Unlimited providers
Full policy engine
Audit log (12 months)
Approval workflows
Usage analytics
Priority support

Join Early Access

Enterprise

Organisations requiring custom governance controls

Custom

Tailored to your requirements

Custom routing logic
Multi-tenant isolation
SLA agreement
Dedicated support
Compliance reporting
On-premise option (roadmap)

Roadmap

Under active development. Governance first.

ModelOps is in private development. The governance foundation is complete. Provider integrations and the full policy engine are being built now.

Complete ✓

Governance foundation

Routing architecture · Policy evaluation engine · Audit log structure · Decision transparency

In Progress

Provider integrations

Claude · OpenAI · Gemini · Local model support via Ollama · Brain VPS integration

Policy engine

Full policy authoring · Data residency rules · Team-level permissions · Cost caps

Roadmap

Approval workflows

Human-in-the-loop gates · Escalation paths · Regulated workload controls

Roadmap

Tenant controls & analytics

Multi-tenant isolation · Usage dashboard · Cost allocation · Exportable audit reports

Roadmap

Customer dashboard & public API

Provider management dashboard · API key management · Public documentation

Be part of how AI governance gets built.

ModelOps is in private early access. We're onboarding a small number of AI agencies, software companies, and enterprise teams who want governed AI operations from day one. Early access partners shape the roadmap.

Ready to discuss SkyX ModelOps early access? Use the SkyX contact form — select 'SkyX ModelOps Early Access' from the dropdown and tell us how you are currently managing AI providers.

Request Early Access via SkyX →

You will be taken to the SkyX contact page. Select ‘SkyX ModelOps’ from the interest dropdown. We review every request within 5 business days.