AI integration and deployment that keeps systems connected and automated

AI integration services for the hardest part of a project: getting working AI into the systems that have to run it, and connected to the data it needs. Legacy systems and estates that cannot use public cloud are all in scope.

We work with clients and partners across the globe.

  • Donut
  • PacketFront Software
  • milkrite | InterPuls
  • SCG
  • Infinity Motors

The problem

Where AI implementations can go wrong

The AI itself is rarely what breaks an implementation. The layer underneath it is.

  • Records that do not agree across systems

    The same customer exists in the CRM, the billing platform and the service desk, recorded three different ways. AI trained on one is wrong about the other two.

  • Connections that multiply with every system

    Wire systems to each other directly and every pair needs its own link. Sixty five applications need 2,080 of them, each a thing that can break.

  • Version changes that break what was built

    A vendor changes an API version and every integration built against it fails, months after going live, when nobody is looking.

  • Data that cannot leave the estate

    The records the AI needs sit where the rules say they must stay, so a public AI service is not an option and the project stalls.

  • No compute to run the AI on

    The proof of concept ran on a laptop or a public cloud trial. Production needs hosting that was never budgeted.

  • No owner once it is live

    The consultancy leaves, the data drifts, the integrations age, and nobody is on the hook for any of it.

What we do

AI integration services for real business needs

Four jobs, each delivered on client work. Every one is connected to the workflow it serves.

The process

How we connect AI to your systems

Six steps in a fixed order. The data layer and the infrastructure are settled before anything is built, because those are the two things that break an implementation.

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  1. What you already have

    Every system mapped, with the data in each and whether it exposes an interface. You get a picture of what has to connect.

  2. What it runs on

    Compute and hosting settled before anything is built. On premises, private or public cloud, hybrid or air gapped, supplied through our sister company DS Total Solutions where you have none.

  3. The data layer

    Endpoints and schemas discovered, records normalised and validated, so what reaches the AI agrees across systems.

  4. The connection

    The AI, agent or vendor tool wired into the live workflow.

  5. Running alongside

    It works next to the existing process before it replaces any of it, so errors surface while the old route is still there.

  6. Support and version changes

    We stay in touch, and agree any changes or improvements with you.

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Deployment

AI deployment options for different environments

Our products and builds are platform agnostic. Where a system runs is decided by your data rules and your estate, not by our preference.

  • On premises servers

    Inside your own data centre, with the hardware supplied through DS Total Solutions if you have none.

  • Private or public cloud

    Your own tenancy and your own keys, or a public region your data rules allow. Sized to the workload rather than to the GPU catalogue.

  • Hybrid environments

    Sensitive data and the AI on premises, the rest in the cloud, with one governed layer across both.

  • Air gapped installations

    Fully offline, for sensitive clients. Nothing is processed outside the boundary, and updates arrive by hand.

Why Elev8

Why businesses choose Elev8 for AI implementations

The two things that break an implementation are the data layer and the infrastructure underneath it. We build the first, and our sister company DS Total Solutions supplies the second.

  • The integration platform is ours

    A fix to L1nks does not wait on a vendor’s release cycle.

  • Infrastructure through our sister company

    Hosting, networking and hardware from our sister company DS Total Solutions, under one point of accountability.

  • Each system connects once

    A new system adds one connection to L1nks, not one link per existing system, so the estate grows in a line rather than a curve.

  • The order of work is fixed

    Data layer, then infrastructure, then the connection. It does not bend to suit a deadline, because bending it is how implementations fail.

  • An implementation already built can be picked up part way

    A stalled proof of concept is assessed, scoped and finished, or rebuilt where that is honest.

  • Version changes are handled at one connection

    A vendor’s update is absorbed where that system connects to L1nks, so every flow through it keeps running.

  • Both build types are in house

    We build AI and we build custom software, so we recommend whichever one solves your problem.

Platforms

Our own products that assist in implementations

L1nks is our own integration platform, so the data layer under your AI is built on software we make.

  • L1nks DRAFT BUILT APPROVED RUN IPAM · Source customer_id contact_mail title L1nks NORMALISER validate ✓ map ✓ type cast ✓ CRM · Target tenant_id email name

    Data fabric and data orchestration

    Connects each of your systems once, catalogues what each one holds and validates data as it moves, so what arrives already agrees.

    Learn more , Data fabric and data orchestration
  • Agent8 How can I help you today? A8 3.2 Which accounts are at risk of churn this quarter? Three accounts show churn signals this quarter, Northwind, Halcyon and Ridgeline. Each has an open P1 ticket and no executive touchpoint in 60 days. ANSWERED FROM YOUR SYSTEMS CRM · SALESFORCE DATABASE DOCS · SHAREPOINT

    Private AI for your business data

    For teams that want AI on their own knowledgebase without handing it to a public assistant. Private, per client RAG inside your own network.

    Learn more , Private AI for your business data
  • Puls3 QOE SCORE 9.0/10 LATENCY 12ms DNS LOOKUP 18ms COVERAGE · UK • HEATMAP HOURLY QOE SCORE AVG QOE SCORE GAMING9.1 VIDEO7.1 BROWSING6.3

    App and network experience

    Bots test your network from the customer's end, on a schedule or on demand, so you can identify service issues before a customer complains.

    Learn more , App and network experience

Compliance

Compliance, privacy and governance stay incorporated at every stage

Governance cannot be bolted on after the AI is live. It is built into each step above.

  • The data layer records what each system holds, who owns it and who can reach it, before AI touches any of it.
  • Your data stays inside your estate: on premises, in private cloud or air gapped where the rules require it.
  • Information security is run to ISO 27001 practice, with access controls on every connected system.

Sectors

Sectors we serve for integrations and deployments

Every sector has its own records, systems and ways of working. We learn yours first, then build AI and software that fit the way your teams already operate.

Retail

Cloud infrastructure management and automation app development.

Learn more, Retail

Construction

Permit automation, faster responses to tenders, analytics and talk to your documents.

Learn more, Construction

Other services

AI, automation and infrastructure

Whether it is AI, custom software, CRM/ERP rollout or the cloud and infrastructure to run it, we scope it, build it and support it after going live.

All services

In their words

What our customers say about us

Don’t just take our word for it, hear it from our clients.

Insights from our team

Notes on connecting AI to the systems that have to run it.

Common questions

AI integration questions, answered plainly

Everything you need to know about working with Elev8.

Can you deploy a model we bought from another vendor?

Yes. The connection step is the same whether the model is ours, yours or a vendor’s: we map the systems it has to reach, build the data layer under it, wire it into the live workflow, and run it alongside the old process. The vendor’s licence stays with you.

Our systems are on premises and cannot move to the cloud. Does that rule AI out?

No. Our solutions can be deployed fully offline, on premises servers or as an air gapped installation, as well as in private, public or hybrid cloud. Nothing is processed outside the boundary you set. Where you have no suitable hardware, our sister company DS Total Solutions supplies it.

Do we need our own GPU capacity before anything can be deployed?

Not necessarily. We size each workload to the task, so many run on ordinary compute. Where AI does need accelerated hardware, that is settled before the build, and our sister company DS Total Solutions can supply it if you have none.

What happens to our integrations when a connected system changes its API version?

Each system connects once to the integration layer rather than to every other system, so a version change is handled at that one connection. That makes an update a change to one connection rather than a rebuild.

We ran a proof of concept that never reached production. Can you pick it up?

Yes. We start with discovery of what exists: the work done so far, the data behind it and the systems it was meant to reach. That produces a written scope for finishing it, with a cost and a timeline, and we say plainly if part of it is better rebuilt than rescued.

Does routing our systems through one hub give a supplier access to everything?

No. Access is granted by role, per system and per field, and revoked when the role ends. A hub is what makes that control possible: with point to point links, every pair carries its own credentials and nobody can list who sees what.

How does Elev8 ensure data security and privacy in AI solutions?

All our solutions can be deployed fully offline, or within private or hybrid cloud environments. We never share or process customer data outside authorised boundaries. You decide where your data sits and who can reach it, and that is agreed before anything is deployed.

What deployment options are available for Elev8's products?

Our products are platform agnostic and support multiple deployment models, including on premises servers, private or public cloud, hybrid environments, or even air gapped installations for sensitive clients.

Let's get you integrated with AI

Tell us which AI or workflow you want in production and what it has to connect to. The first answer may be that the data layer comes first, or that AI is not needed at all.

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