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Horizon Technologies
عربي

What we build

AI assistants, agents, and AI products

We build three things, and they reinforce each other: private AI assistants, agentic automation, and AI-powered products, each shaped around your workflows, systems, and data.

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  1. Generative AI Assistants
  2. Agentic AI & Intelligent Automation
  3. AI-Powered Business Products

Generative AI Assistants

Private AI assistants built on your own knowledge. They answer from approved company information, read and compare documents, pull from connected systems, and hand off to a person when judgement is needed.

  • Answer from approved company information
  • Search and compare your documents
  • Extract clauses, obligations, and deadlines
  • Take approved actions, escalate the rest

Faster access to reliable answers, fewer repeat questions, and more consistent decisions.

Agentic AI & Intelligent Automation

Agents that go beyond chatbots: they understand what needs to happen, use approved tools to carry out several connected steps, and bring in a person whenever a decision or approval is required. We automate only where it creates real business value.

  • Prepare reports and update systems
  • Route requests and follow up on open actions
  • Draft and send approved communications
  • Flag exceptions and ask approval first

Connected work gets done with less manual effort, and a clear record of every action.

AI-Powered Business Products

For when you need the software itself built, not AI added to tools you already have. We design and build the whole application, web or mobile, with AI as a core part of the product, shaped around how your organisation actually works.

  • Custom applications and platforms
  • Internal tools with AI built in
  • Customer-facing AI experiences
  • From prototype to launched product

Products people actually use, with AI working inside them, not bolted on.

Use cases we've delivered

Real solutions the founding team has built for clients in travel, tourism, and transportation, and the outcomes they saw. They show how the same AI capabilities adapt to different operations. Figures are past results, not a guarantee for every project.

  • Private AI assistant that takes action

    Challenge
    Important information was scattered across policies, contracts, procedures, and internal systems, so people spent too long looking for answers, or kept asking the same few experts.
    What was built
    A private assistant that answers from approved company information, reads and compares documents, pulls out clauses, dates, and obligations, and takes approved actions, escalating anything unusual to a person.
    Business value
    Faster, more consistent answers, and fewer repeat questions across the organisation.

  • Controlled AI content generation

    Challenge
    Teams spent significant time creating, adapting, reviewing, and approving recurring content.
    What was built
    A controlled generative AI solution that drafts and adapts content against approved brand and compliance rules, with people reviewing and approving.
    Business value
    Content production time fell by more than 70%, with review and approval still done by people.

  • Conversational performance insights

    Challenge
    Business users relied on analysts to pull numbers, build charts, and explain why results moved.
    What was built
    An analytics assistant people ask in plain language: “Why did performance drop this month? Which region drove it?” It retrieves the data, builds the charts, compares periods, and helps explain the change.
    Business value
    Faster insight, and less dependence on repetitive reporting.

  • Sentiment & market intelligence

    Challenge
    Feedback arrived from reviews, surveys, social media, and support, far too much to read and categorise by hand.
    What was built
    A generative AI solution that reads large volumes of feedback and explains what customers and the market are saying, and the reasons behind it, not just a positive or negative score.
    Business value
    A clear read on customer and market perception without reading thousands of comments by hand. We ran this enough times to turn it into a product. It became Prism.

Our Products

PrismAvailable now

Thousands of voices, one clear read.

A dashboard that reads the reviews your customers leave online, across every location, and tells your team what to fix, where, and in what order.

  • Reads every review, Arabic and English
  • Built on the steps your customers actually go through
  • Every number opens to the reviews behind it
Explore Prism
ProspectIn development

AI recruitment that reads, ranks, and explains

CV screening that explains itself

Explore Prospect

How we work

  1. Discover

    We dig into the real problem, your workflows, and the data behind it, with the people who own it.

  2. Design

    We design the solution and the right architecture: what to build, how it works, where it runs.

  3. Build

    We build in visible stages you can review and steer, with human oversight built in.

  4. Deploy & improve

    We launch, monitor, and keep improving, or hand over cleanly.

Tell us what you're building.

Send the problem, the constraints, and the deadline. We'll tell you honestly how we'd approach it.

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