AI that runs where your
data is allowed to stay.
We build AI systems for banks, hospitals and public bodies that can't send their records to a public model. The system runs on your infrastructure, reads your documents, respects the permissions you already have, and belongs to you when we're done.
Inside your perimeter
Organisation
People, Teams, Workflows, Policies
AI Infrastructure
Selected models, Compute, Security
Secure Data & Knowledge
Databases, Documents, Permissions, Retrieval
AI Applications
Assistants, Agents, Automations, Analytics
Generic AI wasn't built for how your organisation actually works.
Your data is sensitive, your knowledge is scattered across old systems, and your teams still repeat the same manual steps every day. Feeding that reality into a public AI tool creates risk instead of removing it.
What a CuxtonAI
deployment includes
Six core enterprise capability areas. Engagements typically commence with two or three foundational blocks and extend it to other teams later.
Draw the line first. Build inside it.
If you hold financial, clinical or otherwise regulated records, the first question isn't which model to use. It's where that data is allowed to live. We start by drawing that line with you, and build the system inside it.
Zero Third-Party Data Egress
Models execute strictly inside your perimeter. Prompts, documents, and weights never enter shared multi-tenant clouds.
Cryptographic Hardware Enclaves
Isolated physical clusters or private cloud VPCs protected by hardware memory encryption and isolated networks.
Immutable Audit & Compliance Logs
Tamper-evident logs of every inference, model version, and access request for internal risk, GDPR, HIPAA, and SOC 2 audits.
Controlled AI Processing Enclave
All inference, retrieval, and fine-tuning execute strictly within your hardware or isolated VPC with zero third-party data egress.
Data Sovereignty
Maintain absolute ownership over where data resides, vector memory indexes, and zero-retention storage policies.
Permission-Aware (RBAC)
Semantic retrieval that strictly enforces existing active directory, identity tiers, and departmental boundaries.
Auditability
Immutable logs, prompt histories, and telemetry for governance and compliance reporting across regulated sectors.
Deployment Flexibility
Air-gapped on-premise hardware clusters, private VPC clouds, or isolated single tenancy shaped to your physical constraints.
Model Independence
Use a commercial model, or fine-tune an open-weight one on your own hardware. You can change your mind later without a rebuild.
Human Oversight Gates
People remain in full control of consequential actions, high-value decisions, and automated escalation workflows.
Four layers. One controlled environment.
Every deployment is organised around the same four layers so responsibility, access and data flow stay legible as the system grows.
Organisation
People, teams, workflows and policies that define what the system is for.
AI Infrastructure
Selected models, compute and security controls, sized to the deployment.
Secure Data & Knowledge
Databases, documents, permissions and retrieval grounded and access-controlled.
AI Applications
Assistants, agents, automations and analytics used day to day.
One controlled environment
Every layer operates inside the same governance boundary access, audit and data flow stay legible as the system scales.
Built for environments
where data cannot move.
In financial services, healthcare, and regulated enterprise, AI architecture must start with legal and operational data residency. CuxtonAI operates fully inside your private infrastructure with zero external data leakage.
Financial Services
Financial institutions operate under rigorous supervisory requirements. Cuxton builds deterministic compliance monitoring, real-time risk intelligence, and knowledge retrieval that never expose client records.
Healthcare & Life Sciences
Clinical AI requires ironclad patient-privacy guarantees and strict medical attribution. Cuxton equips clinicians with instant protocol synthesis and document support without making unverified diagnoses.
AI that executes.
Within defined guardrails.
Cuxton develops enterprise AI agents that perform approved multi-step operational tasks on behalf of teams retrieving authorized company information, processing transactions, and routing workflows, while keeping humans in final command.
webhook_receiver(channel="portal_auth", payload_sanitized=true)Deterministic Guardrails
Agents execute exclusively within pre-approved tool schemas and parameter boundaries. Uncontrolled actions and hallucinations are mechanically blocked at the execution boundary.
RBAC & Identity Inheritance
Every tool call, document lookup, and API execution automatically inherits the invoking employee's Active Directory and SSO security clearance. Agents cannot see what users cannot see.
Mandatory Human Oversight
High-volume analysis and synthesis execute in milliseconds, but consequential state changes (transactions, customer messages, code changes) automatically pause for human verification.
Start with the problem.
Scale what delivers verifiable value.
We do not begin by prescribing vendor software or experimental models. We begin by understanding your business workflows, regulatory boundaries, and security constraints guiding every project through an accountable 4-phase engineering lifecycle.
Discover & Assess
We explore cross-functional workflows, audit data availability, evaluate privacy and regulatory boundaries, and identify where AI delivers genuine business impact.
Design & Prototype
We architect the security perimeter, select optimal models, and engineer a controlled proof-of-concept tested with real users and approved internal records.
Deploy & Enable
Production deployment with enterprise system integrations, security hardening, monitoring hooks, followed by extensive administrative training and handover.
Operate & Optimise
Ongoing performance telemetry, latency monitoring, model tuning, periodic evaluation reviews, and systematic expansion into adjacent business functions.
Foundations of Every Engagement
100% Client IP ownership
All custom prompt pipelines, integration middleware, specialized datasets, and fine-tuned weights remain the exclusive intellectual property of your institution.
Model & Vendor Independence
We design modular systems that allow switching underlying foundation models (commercial or open-weights) without re-engineering your core business logic or workflows.
Air-Gapped & Boundaries
Your enterprise records never leave your designated environment. Zero data is shared, leaked, or utilized to train external public foundation models.
We don't have a licence to sell you.
Most AI vendors start from the software they need to move. We start from the work your teams actually do, and build around the knowledge your organisation already has. You own what we build.
We tell you when AI is the wrong tool
We start by looking at where work actually gets stuck, what it costs you, and whether your data is in good enough shape to build on. If a use case won't work, or won't pay for itself, we say so before you spend anything.
You can change your mind about the model
We use commercial models where they fit, and run open-weight models like Llama or Mistral inside your own network where privacy or cost makes that the better answer. Either way, the model sits behind an interface you can swap out later.
You own everything we build
The pipelines, the integration code and the fine-tuned weights are yours, in your repositories, at the end of the engagement. Your records are never used to train anyone else's model.
Every answer shows its source
The system reads from your own document stores, and it respects the permissions those stores already have — people see what they are cleared to see. Every answer cites the document it came from, so your auditors can check it.
People stay in charge of decisions
Anything with real consequences stops for a person to approve it. Those approvals are logged, so you can show who signed off on what, and when.
How we compare
Where we differ from a software vendor or a traditional consultancy
Where could AI create measurable value in your organisation?
Start with a focused discovery conversation. We'll discuss your objectives, current systems, data constraints and candidate workflows without requiring confidential information in the first contact.
No confidential or patient-identifiable data should be submitted through the public form.