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Hexploits

Applied AI

AI sovereignty: private and EU-hosted AI

AI sovereignty means deciding, workload by workload, who controls the data an AI system reads and where it is processed. In practice it means running open-weight models on infrastructure you control for sensitive work, and using cloud APIs under enterprise terms for the rest. Hexploits deploys private models on Hexploits Cloud in the EU or in your own account, at a fixed monthly cost.

Request a proposalTalk to an engineer

A named engineer replies within one working day. A written scope and an indicative price within two.

Who this is for

  • Regulated businesses that cannot send customer records to a third-party API.
  • Firms whose pricing, playbooks and product plans are the business.
  • Finance directors who want a fixed monthly figure rather than a usage bill that grows when the tool works.

What you get

Deliverables, not slogans. Each one appears in the statement of work.

  • A workload classification: what must stay private, what can use cloud APIs, and why.
  • Private deployment of open-weight models (Llama, Mistral, Qwen and others) with failover and monitoring.
  • A gateway that routes each request to the right model under policy, with logging.
  • Data residency documented per system for your DPIA and supplier questionnaires.
  • A fixed monthly cost for reserved capacity, with usage reporting.

Our engineers work across the major languages, frameworks and cloud platforms. We build on the stack you already run, with technology choices explained in writing before work begins.

How it is delivered

The same four stages as every Hexploits engagement, applied to this capability.

  1. Stage 1

    Classify

    We list every AI use case, current or planned, and classify the data it touches.

  2. Stage 2

    Design

    Private capacity is sized for the sensitive workloads; cloud APIs are contracted under enterprise terms for the rest.

  3. Stage 3

    Deploy

    Models run on reserved EU capacity or in your account, behind a gateway with logging and access control.

  4. Stage 4

    Operate

    Model updates, capacity, failover and cost are managed and reported monthly.

How success is measured

Every engagement agrees its measures and the measurement period in writing before work starts.

  • Every AI workload documented with its data classification and processing location.
  • Monthly AI cost fixed rather than variable, and reported against usage.
  • Quality of private models measured against the cloud alternative on your evaluation set.

Proof

Case studies with numbers, and reviews linked to Google where they were left there.

98%Faster page loads

Gradvisor · Charity · 8 weeks to production, then ongoing

98% faster page loads and a 12% smaller cloud bill for a UK careers charity

12% lower cloud cost · 2 days to ship a change
75%Under the original budget

swarmd.ai · Software vendor · 6 months

Enterprise AI control plane delivered in six months at 75% under budget for a UK software vendor

75% ahead of the original timeline · 6 months from blank page to paying enterprise customers

  • Director, JobVantage

    “Working with Hexploits has genuinely been a pleasure, and I see them as my scaling partner for the foreseeable future as JobVantage grows. If you’re looking for a development team who combine strong AI/engineering capability with honesty, flexibility and a real interest in your business, I’d strongly recommend them.”

    Brandon BowdenDirector, JobVantageRead the review

  • Director, PeppaSync

    “Hexploits have been a breath of fresh air on Peppasync, an AI/ML autonomous decision platform for commercial leaders in retail and ecommerce. The depth and thoroughness the team brought to design and architecture was second to none.”

    Banky AlaoDirector, PeppaSyncRead the review

Questions we get asked

Are open-weight models good enough?
For most everyday business work (support triage, documentation, internal question answering, extraction) a well-run open-weight model performs well. We measure it against the cloud alternative on your own evaluation set before recommending it.
Does sovereignty mean no cloud AI at all?
No. It means making the choice deliberately per workload. Sensitive and regulated data stays on infrastructure you control; low-stakes drafting and research can use cloud tools.
Where does the data live?
On Hexploits Cloud in the EU, or in your own AWS, GCP or Azure account. The location is documented per system.
What does it cost?
Reserved capacity on Hexploits Cloud is a fixed monthly figure that does not rise with usage. Pricing is published on hexploits.cloud.

Related

Sectors where this is most often needed

Reading

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Applied AI overview

Next step

Request a proposal.

Tell us about the system and the sector. A named engineer replies within one working day. A written scope and an indicative price within two working days of a short scoping call.

Request a proposalTalk to an engineer