Services

# We build and run AI at every layer, with cloud and infrastructure partners underneath.

Advice, implementation, day-to-day operation and supply, from the AI agent your customer talks to down to the compute it runs on. Start with one layer. Add the rest on the same foundation, under one plan. We recommend and run whatever works best, ours, a partner’s or open source, even when it competes with our own platform.

Layer 07 Applications and agents Built by Noodle Seed The AI agents people actually talk to: customer AI agents on every channel, employee AI agents in the tools staff use, and industry solutions built on them. Our solutions Customer AI agent on website chat, WhatsApp, Instagram, SMS, ChatGPT and Claude Ready-made solutions for retail, travel and restaurants Payments in the conversation through Stripe and Safepay Our services Custom customer and employee journeys Employee AI agents in Slack, Microsoft Teams and Google Chat Apps in ChatGPT and Claude for software companies With partners Industry partners such as travel supply Who asks for this: Businesses and organisations in every industry How we deliver it Licence Build Run Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 06 Agent and application platform Built by Noodle Seed What makes an AI agent safe to act: tools and connectors, MCP servers, permissions, confirmation, payments with durable workflows, hand-over and a record of every action. Our solutions Noodle Seed platform: permissions, confirmation and records on every action MCP servers and apps for ChatGPT and Claude Durable payment and transaction workflows on Temporal Noodle Core, our open-source runtime Our services Connectors to your core systems Policies and limits for your business Security review support for your teams Who asks for this: Businesses, banks, software companies and technology providers AI platform and middleware (https://noodleseed.com/services/middleware) How we deliver it Licence Build Run Partner Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 05 Data and knowledge Ours, on open source The information AI agents answer from: documents, catalogues and records, made searchable with retrieval, kept current and limited to what each person may see. Our solutions Connectors to websites, catalogues, booking and order systems Answers drawn only from approved content, with the source shown Our services 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 With partners Open-source and managed database providers Data annotation and labelling partners Who asks for this: Banks, healthcare, large enterprises and the public sector AI platform and middleware (https://noodleseed.com/services/middleware) How we deliver it Advise Build Run Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 04 Models and inference Open source, run by our team The models behind the AI agents, made for your task and served fast and affordably: selection, fine-tuning, preference tuning, distillation, compression, training, evaluation and serving. Our solutions Choice of model provider, with routing between models Our services Fine-tuning and preference tuning on your data Distillation and compression into smaller, cheaper models Continued pre-training and training for local languages Speech, document and embedding models Evaluation, benchmarking and red-teaming Open-weight models served in your environment With partners Data annotation and labelling partners GPU capacity for training from cloud partners Hosted model providers, where your policies allow Who asks for this: Financial services, healthcare, technology providers and the public sector How we deliver it Advise Build Run Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 03 AI platform services Open source, run by our team The shared services that turn models into a product others can use: a model gateway, per-token metering and billing feeds, quotas, a catalogue for customers and monitoring. Our solutions Not at this layer Our 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 Per-token metering and billing feeds Model catalogue for your own customers With partners Billing and observability tools, open source or commercial Who asks for this: Technology providers selling AI services, and enterprises running shared AI AI platform and middleware (https://noodleseed.com/services/middleware) How we deliver it Advise Build Run Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 02 Containers and orchestration Open source, run by our team The layer that runs everything above: Kubernetes, GPU scheduling, separation between customers or teams, and the operations that keep it running. Our solutions Noodle Core, self-hosted on Kubernetes Our services Kubernetes and GPU scheduling on your virtual machines Model serving with engines such as vLLM, Triton and KServe Training and batch jobs, with quotas per team Separation between customers or teams, and data residency controls Monitoring, backup and day-to-day operation With partners Managed Kubernetes from cloud providers Who asks for this: Technology providers building AI factories, and banks and hospitals running private AI AI infrastructure (https://noodleseed.com/services/infrastructure) How we deliver it Advise Build Run Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Layer 01 Compute, storage and networking Partners, run by our team The capacity everything runs on: GPU and CPU instances, storage and high-speed networking, in your own data centre or from cloud and data centre partners. Our solutions Not at this layer Our services GPU cluster design and build-out with hardware partners Storage and network fabric sized for AI Sovereign and disconnected deployments Setup and operation on your virtualized compute One plan across your own and partner capacity, with GPU cost reports With partners Cloud providers, including Google Cloud GPU cloud and data centre operators Server, storage and network suppliers Who asks for this: Technology providers, banks, hospitals and governments AI infrastructure (https://noodleseed.com/services/infrastructure) How we deliver it Advise Run Resell Layers adapted from NVIDIA&rsquo;s AI factory and cloud partner reference architectures. Below them sit chips, data centres and power, run by your infrastructure provider. We build on whatever they run.

Run it anywhere

## Ours or anyone else’s, wherever it needs to run.

We deploy and run our own platform or any other solution, whether open source, a partner’s or a competing product, in the place your data and rules require.

Multi-tenant

### Our managed cloud

The fastest start, run by us, with each customer’s data, credentials and records kept apart.

Single-tenant

### Our managed cloud

A dedicated environment run by us, for stricter isolation or a region of your choice.

Your account

### Your cloud

Deployed in your own cloud account, or on capacity from our cloud partners, run by our team or yours.

Your hardware

### On premises

On your own servers and network, including disconnected sites, for data that cannot leave.

Custom AI and evaluation

### A hard problem no single model solves well?

We design the workflow, measure every candidate on your own cases and run the version that wins. See how we did it for voice notes in Urdu, English and both at once.

Custom AI and evaluation

[Explore](https://noodleseed.com/services/custom-ai)

Model services

## Models made for your task, from data to deployment.

When a general model is too slow, too costly or not good enough at what you need, we prepare the data, adapt or train an open-weight model, make it efficient and prove it works. You own the result.

Data

### Ready to learn from

-   Collection and curation of your examples
-   Annotation and labelling through specialist partners, with your experts on the edge cases
-   Synthetic data where real examples are scarce or sensitive

Adapt

### Better at your task

-   Fine-tuning on your language, products and documents
-   Preference tuning and reinforcement fine-tuning against what good looks like
-   Continued pre-training for a domain or a local language

Make efficient

### Smaller, faster, cheaper

-   Distillation of a large model’s skill into a small one
-   Quantization and pruning to fit your hardware
-   Routing so each request uses the cheapest model that does it well

Specialise

### Beyond chat

-   Speech recognition and voice in local languages
-   Document understanding for forms, statements and records
-   Embedding and ranking models that make search find the right thing

Prove

### Measured before it ships

-   Evaluation on your own test sets, in every language you serve
-   Red-teaming for safety, misuse and data leakage
-   Model documentation for risk and compliance review

Operate

### Kept good in use

-   Training pipelines you can rerun
-   Serving in your environment or ours
-   Monitoring for drift, with retraining when results slip

Annotation and labelling are delivered through specialist partners. Training capacity comes from your environment or our cloud partners.

Reviews

## Built by someone else? We will test it.

Two fixed-fee reviews that test an AI agent, or a plan for one, against the failures in our [failure lab](https://noodleseed.com/architecture). Every finding is reproduced, and each review ends with a plan to fix what it finds.

2 weeks, fixed fee

### Production readiness review

For a business with an AI agent built in-house or by another firm. We test payments, outcomes, hidden instructions, identity, tokens and records.

 **You get:**  a scored report, each failure reproduced, and a fix plan with a quote.

3 to 4 weeks, fixed fee

### Governance review

For a bank, insurer, hospital or public body planning AI that acts. We map every intended action to identity, permission, confirmation, records and data rules.

 **You get:**  a control design your risk team can sign off, and the build plan.

How we deliver

## Six ways to work with us. Most engagements combine two or three.

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

Engagements

## From a two-week review to a multi-year programme.

2 to 4 weeks

### Review

What you have, where the value is, and a plan with a price.

You get: a ranked plan and a fixed quote

1 to 6 months

### Project

One solution or one layer, delivered and measured.

You get: something live, against agreed measures

1 to 3 years

### Programme

Several layers and solutions under one plan, with our team and partners.

You get: a roadmap delivered quarter by quarter

Ongoing

### Partnership

White label, revenue share or a long-term run service.

You get: a shared business, not a one-off project

Partners

## The layers below, delivered with the people who run them.

We bring in cloud and infrastructure partners for compute, capacity, storage and networking, and manage them inside your plan. One plan, one contract and one team to call.

Cloud providers

### Compute, storage and managed services

Managed Kubernetes, storage and model services, in your account or one we set up. Noodle Seed is a Google Cloud Partner.

GPU capacity and data centres

### Capacity by the hour or reserved

GPU cloud, colocation and data centre operators, for capacity without building it yourself.

Hardware

### Servers, storage and networking

Supplied and installed through manufacturers and distributors, for private deployments and AI factories.

Models and software

### Open-source and commercial providers

Models, databases and tools chosen for your needs and licensed correctly, with our team responsible for how they fit together.

Option 1

### Your own cloud or data centre

We build and run on what you already have.

Option 2

### Capacity we arrange

Cloud or GPU capacity from our partners, set up and billed within your plan.

Option 3

### A mix of both

Sensitive work on your hardware, peaks and experiments on partner capacity.

In every engagement

### A named team

A delivery lead and engineers, and for programmes, specialist partners working to one plan.

### Measures agreed up front

What success means is written down before work starts, and reported against throughout.

### Nothing locked in

Open-source components, documentation and runbooks, so your team can take over at any point.

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

 **Our ready-made customer AI agent, set up on your products and channels, extended where you need custom journeys.** 

Layer: Applications  
Delivery: Licence, then Run  
Scale: Review, then a first project

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