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Applied intelligence for real organisations

From complexity to outcome.

Linear Horizon understands how work actually happens, identifies the points of friction, and builds intelligent systems that turn insight into action.

We work with organisations that need AI to do real work, not sit in a demonstration. That means training your people, designing the system properly, and taking it into production.

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Fragmented signals resolving into one direction.
Fragmented signals resolving into one direction.

Experience in the work

  1. 01

    Training

    More than twenty years of professional technology training — experience in the work, not the age of the company.

  2. 02

    Courses

    Hundreds of technical courses delivered for engineering teams and large organisations.

  3. 03

    Engineering

    Deep software engineering and architecture experience, including senior and principal work.

  4. 04

    AI

    A formal academic background in Artificial Intelligence.

  5. 05

    Production

    Hands-on delivery of production systems, including applied AI.

What Linear Horizon does

Two complementary sides of the same practice. You do not have to choose one or the other.

Services

Train. Advise. Build.

Work with Linear Horizon directly to develop capability, design AI systems and deliver them into production.

  1. TRAIN

    Build AI capability inside your organisation.

  2. ADVISE

    Work out what to build — and how to build it properly.

  3. BUILD

    Take AI into production.

Products

An operating system. Then the applications.

Linear Horizon Platform is an operating system for AI. Specialist applications apply it to analysis, research, strategy, growth and customer service.

  1. Platform

    An operating system for AI.

  2. Stack

    Agents that analyse. Ask open-ended questions of your data.

  3. Solve

    Agents that reason. Start a run. The tree is the ledger.

  4. Wargame

    Agents that strategise. A machine that can predict the future.

  5. Funnel

    A local agentic CRM. Your data never leaves your desktop.

  6. Callcenter

    Agents that serve customers. One conversation, across every channel.

  7. Query

    Agents that investigate usage. Understand what users actually do.

  8. Chat

    Agents you can talk to. A conversation on top of your agents.

Linear Horizon Products

Agentic systems for real organisational work.

Linear Horizon Platform is an operating system for AI. Specialist products then apply that system to analysis, research, strategy, growth and customer service.

Figure · Product system

Linear Horizon products as one system. Platform is the operating system for AI. Stack, Solve, Wargame, Funnel, Callcenter, Query, Chat apply that system to analysis, research, strategy, growth, customer service, measurement and conversation.

Operating system

Platform

An operating system for AI.

AI operating system

Platform is an operating system for AI.

Agents, tools, memory, permissions and controls that let AI operate around the work your organisation already does.

Explore Platform

Applications

  1. Stack

    Analysis

    Agents that analyse.

    An agentic data analysis system that investigates open-ended questions, tests hypotheses and produces a structured analytical deliverable.

    Explore Stack

  2. Solve

    Research

    Agents that reason.

    An unattended problem solver: each tree node is axioms, reasoning and an evaluating agent. A run wakes high-scoring or interesting nodes to ideate, Horn-generate or GA-mix.

    Explore Solve

  3. Wargame

    Strategy

    Agents that strategise.

    An agentic strategy system that models actors, incentives and possible responses, then simulates how they interact — a machine that can predict the future.

    Explore Wargame

  4. Funnel

    Growth

    A local agentic CRM.

    A desktop agentic CRM that researches organisations, qualifies opportunities and drafts outreach locally. Your data never leaves your desktop.

    Explore FunnelVisit FunnelDownload

  5. Callcenter

    Customer Service

    Agents that serve customers.

    Resolve customer needs across voice, messaging and email, with intelligent human handoff when judgement matters.

    Explore Callcenter

  6. Query

    Analytics

    Agents that investigate usage.

    Privacy-conscious product and website analytics, where agents investigate the numbers rather than leaving you to read another dashboard.

    Explore Query

  7. Chat

    Interface

    Agents you can talk to.

    A conversational interface to your agents — streaming answers, visible working and voice, on top of the Linear Horizon Platform.

    Explore Chat

How the products differ

Platform

Act

Purpose
An operating system for AI
Input
Events, requests, knowledge and tools
Agentic process
Orchestration, tools and workflows
Output
Agentic workflows and actions
Channels
Events, APIs and operational interfaces
Human role
Oversight and escalation

Stack

Understand

Purpose
Investigate your data
Input
Open-ended questions and organisational data
Agentic process
Hypothesis generation and testing
Output
Evidence, analysis, visualisations and presentations
Channels
Analytical environments and presentations
Human role
Review and interpretation

Solve

Solve

Purpose
Search programmes of attack on a hard claim
Input
A conjecture, modelling question or precise statement
Agentic process
Choose, expand, evaluate
Output
A scored tree of attack programmes
Channels
Research chat, node agents, run controls
Human role
Start, pause, stop; review scores and what remains open

Wargame

Decide

Purpose
Predict the future
Input
Strategic problem and actor model
Agentic process
Actor modelling and simulation
Output
Scenario distributions and strategic options
Channels
Strategic briefs and simulation outputs
Human role
Assumption review and strategic judgement

Funnel

Discover

Purpose
Local agentic CRM
Input
ICP and market signals
Agentic process
Discovery, research and qualification
Output
Evidence-backed opportunities
Channels
Desktop app; local CRM data
Human role
Approval and relationship building

Callcenter

Serve

Purpose
Serve customers
Input
Voice, messaging, email and customer context
Agentic process
Understand, retrieve, act, resolve or hand off
Output
Resolution, action or context-rich human escalation
Channels
Voice, WhatsApp, SMS, email, Teams, Slack, Salesforce
Human role
Judgement, takeover and the work that still needs a person

Query

Measure

Purpose
Measure product usage
Input
Product and website events
Agentic process
Instrument, measure and investigate
Output
Metrics, cohorts and investigated findings
Channels
Dashboards, event API and MCP
Human role
Interpretation and prioritisation

Chat

Converse

Purpose
Talk to your agents
Input
A question, an agent and a conversation
Agentic process
Route, retrieve, act and stream
Output
A streamed answer with its working shown
Channels
Web chat, voice and token streaming
Human role
The person asking, and taking over when needed
All products

Services · Train. Advise. Build.

We teach AI, design it, build it, and provide the technology to run it.

  1. 01

    TRAIN

    Build AI capability inside your organisation.

    Technical training led by practitioners, grounded in real engineering experience.

  2. 02

    ADVISE

    Work out what to build — and how to build it properly.

    Strategy, discovery and architecture from people who still work with the underlying technology.

  3. 03

    BUILD

    Take AI into production.

    Agents, RAG, intelligent applications and bespoke AI systems designed around real organisational requirements.

Start where you need us

Services are how we work with you. Products are the technology we have already built.

Book a programme, bring us in for architecture, commission a system, or deploy a product. You should not be forced into a single path — the capabilities reinforce each other.

  1. 01

    TRAIN

    Teams understand the technology

  2. 02

    ADVISE

    Identify opportunities and architecture

  3. 03

    BUILD

    Implement bespoke systems

  4. 04

    PRODUCTS

    Accelerate using reusable Linear Horizon technology

Four layers

  1. 01

    Understand AI

    Build the language and judgement your team needs before it designs a system.

  2. 02

    Decide what to build

    Identify where AI is useful, what the architecture should be, and what good looks like.

  3. 03

    Deploy working systems

    Take a design into production against real data, interfaces and ownership.

  4. 04

    Accelerate with products

    Use existing Linear Horizon technology where the problem already has a product shape.

You might start with

  1. Book a training programme01
  2. Bring Linear Horizon in for AI architecture02
  3. Read the AI adoption whitepaper03
  4. Read the agentic workflows whitepaper04
  5. Read the product-as-expert whitepaper05
  6. Read what an agent is06
  7. Commission a bespoke application07
  8. Deploy a Linear Horizon product08
  9. Customise Platform around a specific workflow09
  10. Connect Stack to an analytical environment10
  11. Use Solve for a hard logical problem11
  12. Use Wargame to predict how a decision may play out12
  13. Use Funnel as a local desktop CRM13
  14. Use Callcenter for agentic customer service14
  15. Compare Claude, Grok Bot and Linear Horizon15

Train

Serious engineering education.

Practitioner-led training for teams who have to ship. A catalogue covering foundations, engineering, RAG, agents and architecture — shaped to your organisation, not a public timetable.

Training

Build

Bespoke systems, when a product is not the whole answer.

Agents, RAG, copilots and applications designed around existing systems. Where Platform and the specialist applications already cover the problem, we start there. Where they do not, we still build.

Build

Selected capabilities

  1. 01

    Generative AI and LLMs

  2. 02

    Applied AI for engineers

  3. 03

    RAG and agentic RAG

  4. 04

    AI agents and workflows

  5. 05

    AI architecture

  6. 06

    Workshops and discovery

  7. 07

    Model integration

  8. 08

    Production systems

Practice

A specialist applied AI engineering company. Training, consultancy, production systems and proprietary agentic technology — led by people who still do the work.

Linear Horizon is both a training company and an engineering practice. The same people who design and build AI systems also teach how they work — and provide the technology used to run them.

About

Principal

Nicholas Johnson

AI architect and software engineer

The work is led from practice: architecture, engineering, and the teaching of both.

Talk to us

From first understanding to a working production system.

Tell us about your organisation and the problem. We can help with training, architecture, delivery, a product deployment — or the path that actually fits.

Talk to us

Engagement notes — forthcoming

Selected work will appear here when it can be discussed. Until then, we are happy to talk about it directly.