Skip to content

AI · AI Security · Research

Intelligent systems,secured by design.

Horizon Mind is an AI research and product company. We build intelligent systems — and we work on the security of the systems themselves: the models, the agents, and the infrastructure they run on.

Research
Adversarial robustness, privacy-preserving inference, interpretability.
Security
Threat models for the models, the agents and the pipelines behind them.
Engineering
Robust, observable systems that hold up once they ship.

What we build

Four areas of work

Each of these exists to support the others: systems that are intelligent, and secure because of how they are built.

  • 01

    AI

    Intelligent applications and the models that power them, built to run in production rather than in a notebook.

  • 02

    AI Security

    Protection, privacy, monitoring and governance for AI systems — treated as part of the architecture, not a layer added afterwards.

  • 03

    AI Agents

    Agentic systems that carry out real work under clear constraints, with observable behaviour and defined boundaries.

  • 04

    Intelligent Infrastructure

    The systems and infrastructure secure AI applications depend on, from data handling through to deployment.

Research

Research is where the products start

We work the path from an open question through to something other people can rely on. Published work appears here as it becomes available.

Research → Paper → Prototype → Product

  1. 01

    Research

    A question the literature does not settle — usually about how a system behaves under pressure rather than on a benchmark.

  2. 02

    Paper

    Method, results and limitations written down, so the work can be checked instead of taken on trust.

  3. 03

    Prototype

    The narrowest build that shows the result still holds outside the conditions it was found in.

  4. 04

    Product

    Hardened, documented and supported — the point at which someone else can depend on it.

Current directions

  • Security properties of agentic systems
  • Evaluation of model behaviour under adversarial input
  • Privacy-preserving inference
  • Monitoring and interpretability for deployed models
Read our research

Technology

The ground we work on

The capability areas our research and our products are built on.

Where AI systems are exposed

  • Training data and model weights
  • Prompt and tool-call boundaries
  • Retrieval and context sources
  • Agent permissions and scope
  • Inference endpoints and credentials
  • Downstream handling of model output

01

Artificial Intelligence & Machine Learning

Model development, evaluation and deployment, with the evaluation treated as seriously as the training.

02

Computer Vision

Visual understanding systems: detection, recognition, tracking and inspection under real-world conditions.

03

LLM / VLM

Language and vision-language systems applied to reasoning, retrieval and document understanding.

04

AI Agents

Tool-using systems with explicit scope, permissions and audit trails.

05

AI Security

Threat modelling for AI systems: model and data integrity, prompt and input attack surfaces, access control and runtime monitoring.

06

Secure AI Infrastructure

Data pipelines, serving infrastructure and deployment paths designed around least privilege and observability.

Why Horizon Mind

How we work

Five commitments that decide what we take on and how we build it.

01

Research-driven

We turn research into practical technology.

02

Security-first

Security is part of the system, not an afterthought.

03

Engineering-focused

We care about robust, scalable, production-ready systems.

04

Product-minded

We build technology that solves real problems.

05

Long-term thinking

We develop systems designed for an evolving AI landscape.

Solutions

Applied to your problem

We take on work where the difficulty is technical — where the answer is not known in advance and the system has to hold up once it ships.

AI Product Development

Taking an AI product from problem definition through to a system that runs in production.

AI/ML Engineering

Model development, evaluation, and the engineering around it that makes results reproducible.

AI Security

Threat modelling, review and hardening for systems that depend on models and agents.

Computer Vision

Vision systems for inspection, monitoring and automation.

AI Agent Development

Agentic systems scoped to a real task, with the constraints designed in.

How we work with teams