[Services](https://noodleseed.com/services) / AI platform and middleware

AI platform and middleware

# The middleware between your models, your systems and your users.

Gateways, tool and MCP layers, integrations, retrieval, workflows, evaluation and observability. Every AI product needs them and most teams rebuild them in a hurry. We build them once, properly, and run them with the same controls as our own platform.

[Talk to us](https://noodleseed.com/contact) [All services](https://noodleseed.com/services)

Your apps and assistantsAny

Gateway, tools, retrieval, policyWe build

Models, systems and dataAny

## What we do

### AI gateway

One endpoint for every model: routing, fallbacks, quotas, cost limits, caching and an audit trail for each call.

### MCP and tool layer

MCP servers, a gateway and a registry for the tools your AI agents use, with sign-in, permissions and a record on every call.

### Integrations

Connections to SaaS and core systems, with each user’s credentials held by a broker and never handed to the model.

### Retrieval and knowledge

Document processing, vector search and retrieval pipelines that stay current and respect who may see what.

### Durable workflows

Long-running AI processes, approvals and payments that survive failures and run each step once, on Temporal.

### Evaluation and release gates

Test sets, regression runs and red-teaming, so a model or prompt change ships only when it passes.

### Observability

Traces, cost, speed and quality for every request, on OpenTelemetry, in the tools your teams already watch.

### Identity, policy and secrets

Delegated credentials, policy checked before every action, and redaction that keeps secrets out of logs.

### Metering and billing

Per-token and per-action metering with billing feeds, for internal chargeback or for selling AI to your customers.

Built on Noodle Core and open standards: MCP, OpenTelemetry, Temporal and Kubernetes. Run in our managed cloud (multi-tenant or single-tenant), in your cloud or on your premises.

Controls at this layer too

## The same control system, all the way down.

Identity, permissions, records and separation between customers are designed in at every layer, not added at the end.

[See the control system](https://noodleseed.com/architecture)

Layer 06: Agent and application platform

-   Connectors to your core systems
-   Policies and limits for your business
-   Security review support for your teams

Layer 05: Data and knowledge

-   Retrieval over your documents and records, with vector search on open-source databases
-   Data access rules matched to your roles
-   Pipelines that keep knowledge current
-   Training data curation, synthetic data and annotation through partners

Layer 03: AI platform services

-   AI gateway with routing, fallbacks, quotas and caching
-   MCP gateway and tool registry
-   Evaluation pipelines and release gates
-   Tracing and monitoring of cost, speed and quality

Who asks for this

Software companies building AI into their products, enterprises standardising how teams use AI, and technology providers offering AI platforms to their customers.

Delivery

### Advise

Reviews, roadmaps and architecture: where to start, what to build and what it is worth.

For example: An AI stack review for a bank

Fixed fee

Delivery

### Build

Implementation and custom solutions, from one customer journey to a whole platform.

For example: Model serving on a telco’s compute

Fixed fee per phase

Delivery

### Run

Day-to-day operation, monitoring and improvement, with service levels agreed up front.

For example: Running an employee AI agent

Monthly or annual fee

Delivery

### Licence

Our platform and ready-made solutions, and commercial backing for Noodle Core.

For example: A retailer on our platform

Subscription and usage

Delivery

### Resell

Hardware, cloud, models and software from our partners, inside one plan and one contract.

For example: GPU servers for a private deployment

Margin on supply

Delivery

### Partner

White label, co-selling and solution packs for platforms and technology providers.

For example: AI agents sold under a telco’s brand

Revenue share or per activation

Talk to us

## Tell us what you need. We will suggest where to start.

Any layer, any size: a review, a project, a programme or a partnership.

Who you areWhat you need firstSize

Suggested starting point

 **An AI gateway, tool layer or integration layer built on Noodle Core and open standards, with policy, records and metering from day one.** 

Layer: AI platform and middleware  
Delivery: Advise, Build, Run  
Scale: Review, then a first project

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