FOR INVESTORS
Human-machine organisations need a state layer.
Models provide increasingly powerful intelligence. Agents provide increasingly powerful agency. But neither, by itself, maintains the organisation: what it currently believes, what it is trying to achieve, what constrains it, what has changed, what has been decided, and what those changes mean for what happens next.
Every new observation is interpreted against the organisation’s existing reality and intent. Evidence can strengthen, qualify or contradict what is believed. Questions can resolve or reopen. Situations can change. Goals can become threatened. Constraints can become relevant. Decisions can require reconsideration. People and agents then reason and act from the same current state.
Models reason. Agents act. Orient maintains the shared reality they operate from.
What is true, believed, uncertain, contested and decided?
What are we trying to achieve, under whose authority and for how long?
Given what just happened, what should change, what should be preserved and what deserves attention?
What are humans and machines now safe and authorised to do?
AI can now generate, search, summarise and act across an organisation at extraordinary speed. But it does not inherently know what the organisation believes, what evidence supports those beliefs, what remains uncertain, what has been decided, or what has changed.
Every agent becomes another participant in the organisation. More intelligence and more activity make shared understanding more important—and harder to maintain.
Intelligence accelerated. Shared understanding did not.
We built Orient after watching this gap appear again and again. We saw increasingly capable models produce answers, recommendations and actions without knowing the reality of the organisation they were operating inside. They could sound certain without knowing what was contested. They could act without knowing what had already been decided. They could retrieve information without understanding which beliefs the organisation actually trusted.
We had encountered the same failure from different directions, across reasoning systems, language models, agents, optimisation and machine perception. The machines kept getting better. The world they needed to understand remained fragmented across people, documents, systems and time.
Orient is the missing layer.
It continuously forms and maintains a live model of organisational understanding and intent: what is known, believed, uncertain, contested and decided, alongside the goals and commitments the organisation is pursuing. That model is grounded in organisational work, updated as new evidence arrives, and shared by the people and machines that act from it.
Understanding becomes shared state. Shared state becomes coordinated action.
Orient maintains the model and determines what needs attention as reality changes. We call this Continuous Cognition.
The Orient Team
Stockholm, Sweden
PART I
THESIS — 01 · WHY NOW
The first wave of AI sat beside people. It searched, summarised, generated and recommended. Humans still carried the context, judgement and memory of the organisation.
Now AI is entering the work itself.
Agents research customers, monitor operations, use tools, update systems, coordinate tasks and execute workflows. They are beginning to act on the same customers, plans, decisions and systems as people.
That creates a new failure mode.
A decision changes, but an agent keeps acting on yesterday’s version. Product updates an assumption, but sales and its agents never see it. One system treats something as settled while another still treats it as uncertain.
Every participant can be capable. The organisation can still become incoherent.
As agents multiply, intelligence does not automatically create alignment. Without shared understanding, it can multiply divergence.
01 · HUMAN ORGANISATION
Humans carry coherence informally
Why we decided this
What we currently believe
What is uncertain
What changed
Who has authority
The organisation depends on human memory and judgement.
02 · MACHINE-AUGMENTED
Capable actors. No common centre.
AGENT A
Feature X is priority
AGENT B
Security is priority
AGENT C
Decision pending
WORKFLOW D
Old decision still active
NO COMMON STATE
≠
More capability. More divergence.
03 · COHERENT ORGANISATION
Independent actors. Shared reality.
SHARED ORGANISATIONAL STATE
One compatible shared state
People
Agents
Applications
Workflows
Coherence becomes infrastructure.
Orient preserves what the organisation understands, intends and has authorised, so each new participant can continue from the state already established. Evidence, decisions, unresolved questions and history remain available as models, agents and providers change. The understanding accumulated by the organisation becomes an enduring asset.
Anthropic
Jakub Pachocki · Chief Scientist, OpenAI
OpenAI’s Chief Scientist does not name Orient. He describes increasingly powerful AI systems that act alongside people and other AIs, become harder to inspect, and challenge our ability to keep humans in control.
Our thesis: if humans must remain in control of intelligence they cannot fully inspect, shared reality, authority, evidence and human judgment cannot live only inside the model. They need an institutional layer outside it. Orient is building that layer.
As more organisational reasoning is performed by machines, people need to inspect what was believed, why it changed, which evidence mattered, who authorised the decision and what followed. Orient’s institutional role is to make that history visible and open to challenge.
Independent research; not endorsements of Orient.
THESIS — 02 · WHAT ORIENT IS TODAY
People and agents work from the same organisational understanding.
DO
SEE
TRACK
People investigate, develop proposals and make decisions within a maintained situation. Its evidence, assumptions, questions and reasoning remain available. The surface responds both to their thinking and to relevant changes elsewhere in the organisation.
Live Cognitive Surfaces for people
UNDERSTAND
OPERATE
Authority · Constraints · Human review
ACT
Reason · Propose · Update
Agents operate from maintained organisational context before they reason or act, rather than reconstructing the organisation independently.
Machine participants in the model
A continuously updated model of what the organisation knows, believes, decides, does and learns.
The model everything operates from
Intelligence can recommend an action. The organisation’s maintained state establishes the evidence, intent and authority against which that action must be judged.
People can authorise bounded classes of actions, with explicit scope, conditions and limits. The proposed Orient Control layer would use this state to check whether those conditions still hold and route exceptions or changed circumstances to human judgement.
Continuous Cognition in Action
Meetings · messages · expertise
Files · plans · shared knowledge
Studies · search · investigation
Markets · events · regulation
Data · events · internal outputs
Analysis · actions · results
OrientSupplier expected to qualify.
March promised to the client.
Launch depends on supplier qualification.
Confirm launch
readiness.
Monitor supplier
readiness.
Orient continuously maintains a live model of what the organisation knows, believes, has decided and is trying to achieve. As evidence, decisions and circumstances change, it determines what deserves attention: what to reconsider, investigate, correct, preserve or escalate to human judgement.
The live model is what Orient maintains. Continuous Cognition is how that understanding stays alive.
The architectural ambition brings reality and intent into the same maintained model: goals, objectives, principles, commitments and measures, with owners, authority and time attached. People establish and ratify that intent. Orient can then identify which changes affect it and propose what needs attention.
Consider a research agent reading a new paper. It interprets the findings, relates them to existing beliefs and an authorised research goal, traces the consequences for product and research decisions, and determines whether anything deserves attention now. The next step may be to update or preserve a belief, challenge an assumption, open a question, propose research or abstain. This illustrates how the architecture turns new information into judgement in service of an objective.
Form → Transition → Reconcile
Form what evidence justifies. Transition what new evidence changes—and preserve what remains valid. Reconcile accumulated understanding against the underlying observations. Discrepancies return as proposed changes, subject to the same judgement and authority.
Shared understanding can include unresolved disagreement. The model preserves what is uncertain and who has authority to decide.
THESIS — 03 · WHY IT COMPOUNDS
The advantage is not the information Orient ingests. It is the organisational understanding created as that information is interpreted, challenged, resolved and acted on.
01
Claims, evidence, assumptions and decisions must survive individual conversations and applications.
02
Each observation must be understood in relation to what the organisation already believes.
03
When understanding changes, dependent decisions, plans and expectations must be surfaced.
04
Evidence, uncertainty, authority and ratification must remain explicit.
HISTORY CREATED THROUGH USE
01
What was believed
02
What challenged it
03
What evidence mattered
04
What was accepted or rejected
05
What was ratified
06
What was superseded
07
What was decided
08
What action followed
09
What was expected
10
What actually happened
PART II — THE BUSINESS
The core product is running. The next phase proves reliable continuous maintenance, measurable customer value and repeatable deployment.
COMPANY — 01 · PROOF
These are operating product views—not concept diagrams. Source activity enters the workspace while Orient maintains a current view and status through time.
INSIDE THE OPERATING PRODUCT
A maintained situation view: current understanding, change status and the assumptions that still need attention.
New source material enters the workspace and joins the context the organisation already holds.
BUILT AND RUNNING
THE NEXT PROOF
COMPANY — 02 · WHY US
Orient combines deep experience in reasoning systems with the company-building discipline required to make new infrastructure adoptable.
Co-founder · Company + Commercial
Mikael turns technical ambition into an operating company. He has spent 20+ years building and scaling SaaS, digital media and technology businesses from 0→1 through commercial growth.
SELECTED EXPERIENCE
Co-founder, Learnster · Former MD, DigitasLBi Nordics · fundraising, organisation building and commercial scale
Co-founder · Product + Intelligence
Jay conceived Orient’s thesis and built the system. He has spent 20+ years building AI and reasoning systems across intelligence, industry, retail and media.
SELECTED EXPERIENCE
Cambridge Mathematical Tripos, Signal Processing · UK Government · Mitsubishi Electric Research Laboratories · Northvolt
CUSTOMER + WEDGE
Orient enters through a high-context organisational problem: a situation where decisions, evidence, assumptions, priorities and outputs are changing continuously and several participants need to remain aligned.
ONE WEDGE
That problem may begin inside a single team or span several functions. The underlying wedge is the same: an important part of the organisation needs a reliable, persistent shared reality.
ENTRY SHAPE 01 · CONTAINED ENTRY
A strategy team maintaining a changing body of decisions, evidence, assumptions, priorities and outputs.
Orient can begin with a bounded organisational domain where the cost of lost context and repeated reconstruction is already visible.
ENTRY SHAPE 02 · CROSS-FUNCTIONAL ENTRY
A major programme where product, operations, finance and leadership need to maintain the same evolving understanding.
The initial domain can also span several teams when the problem itself is inherently cross-functional.
THE COST ORIENT REDUCES
Teams rediscover context already known elsewhere.
Actors decide from inconsistent assumptions.
Understanding is assembled manually before action.
Stale assumptions propagate into plans and execution.
Every agent reconstructs incomplete context.
COMPANY — 04 · GO TO MARKET
We begin with decisions that cross organisational boundaries—not with a mandate to model the whole organisation on day one.
ENTERPRISE SALES MOTION
01
Choose one recurring decision and agree a measurable baseline.
02
Maintain the relevant state and agree a bounded intervention.
03
Measure the outcome and revise understanding from what happens.
04
Pull in adjacent teams and decisions.
05
Turn shared state into infrastructure.
THE GTM INSIGHT
Each deployment should follow a complete decision loop: establish a baseline, make a bounded intervention, observe the outcome and revise the shared understanding. We will measure relevant outcomes such as reconstruction time, earlier detection of consequential changes, decision latency or avoidable error. Commercial proof comes from improvement against the agreed baseline.
Continuous Cognition keeps understanding current. Minimum Sufficient Intelligence determines where to spend the effort. Orient preserves justified understanding and selects the work each new judgement requires: checking existing state, applying a rule, finding evidence, using a focused evaluator, investigating further or seeking authorised human judgement.
The target is a lower total cost of correctly maintained organisational understanding. That includes inference, retrieval, verification, human attention, correction effort and the cost of delay. The test is whether Orient can preserve reliability while spending less effort on work that does not change the decision.
We will test selective processes against both capable low-cost APIs and frontier-model baselines at matched reliability requirements. Savings and reliability improvements are research outcomes to demonstrate, not assumptions behind the business.
Owned inference offers capacity and deployment control, but does not automatically beat API pricing. These experiments will establish how continuous maintenance can support the commercial margin targets.
THE BUSINESS
Initial deployment size varies with the scope of the organisational domain — from contained team or use-case deployments to larger cross-functional environments.
01
LAND — Start with a bounded organisational domain where shared reality has immediate value.
The initial deployment may cover a contained team, recurring use case or larger cross-functional situation. Scope determines the initial commercial size and deployment model.
Larger enterprise deployments are expected to begin around €50k–€100k ACV.
€50k–€100k ACV
< 14 days
Illustrative larger-deployment footprint
Initial model scope
The objective is not an enterprise-wide transformation project. It is to establish useful shared state around one problem where fragmented understanding already has a measurable cost.
02
MODEL — Orient builds a persistent model of the domain.
People, decisions, evidence, priorities, dependencies, history and active situations accumulate into organisational state. The initial cost of forming the model is concentrated early; its value increases as continuity and context accumulate.
The highest implementation cost is concentrated in establishing the initial domain. Subsequent participants and adjacent use cases build on state that already exists.
The marginal cost of expansion falls while the value of the accumulated model increases.
The existing organisational model expands through three connected surfaces:
More organisational domains, systems and history represented in the live model.
More people understanding, deciding and creating from shared organisational state.
More machine work operating from the same maintained context.
Seat-based recurring revenue
Capacity and usage-based recurring revenue
3–7×
Account expansion
You don’t need massive logo acquisition if successful deployments systematically grow in that way.
€€
Account expansion
COMPANY — 07 · MARKET + CATEGORY
Orient begins in organisational intelligence and decision coordination. As persistent shared state becomes necessary for people, agents and applications, the opportunity expands beneath multiple software categories.
THE STATE LAYER
SITS BENEATH
THE CATEGORY EXPANSION
PRODUCT EXPANSION
CURRENT FOUNDATION
Orient Core maintains the organisation’s beliefs, decisions, goals, commitments, evidence, authority and history through time.
This shared organisational reality is the asset that unlocks expansion.
Two potential expansion paths become especially powerful once Core is established.
POTENTIAL EXPANSION
Once Orient understands the organisation’s live state, recurring needs can become purpose-built tools, workflows and agents — grounded in the same shared organisational reality.
Build is a downstream opportunity created by Core, not a separate starting product.
Potential applications include:
Research agents · Briefing agents
Approval workflows · Monitoring agents
Internal decision tools · Reporting and reconciliation tools
Expansion logic
POTENTIAL EXPANSION
As more agents operate inside the organisation, Orient can provide a live control layer for their objectives, authority, capabilities, actions, contradictions and divergence from organisational intent.
A future control layer could maintain a view of:
This is not a generic agent-monitoring dashboard. Its advantage comes from connecting machine behaviour to the organisation’s live state, decisions and intent.
Not simply:
But:
Core maintains what the organisation understands and what it is trying to achieve, with evidence and authority attached. Control can then assess whether machines are acting consistently with both—a downstream capability built on the same state.
COMPANY — 08 · THE MOAT
Defensibility comes from the architecture, accumulated organisational history, embedded use and specialised intelligence.
Orient maintains temporal, epistemic organisational state rather than reconstructing isolated context.
Use creates a decision and evidence history specific to that organisation. It cannot simply be reconstructed by re-importing source documents.
As humans, agents and applications increasingly operate from Orient, the model becomes operational infrastructure.
Every resolved uncertainty, decision and observed outcome enriches the customer’s maintained understanding from which future work begins.
THE DEEPEST MOAT
COMPANY — 09 · AMBITION
Frontier models will continue to become more capable, more numerous and increasingly interchangeable.
Every time an organisation receives new evidence, something has to determine what that evidence means in relation to everything already known:
01
02
03
04
05
06
This is the intelligence required to maintain a live organisational model through time.
STATE T₀
Evidence · Contradiction · Time · Uncertainty · Authority · Ratification
STATE T₁
Today, general-purpose models can help perform parts of this process.
Over time, Orient can increasingly own the specialised systems that perform it: models, authorised judgement datasets, benchmarks, evaluation systems and learning infrastructure required to maintain organisational reality.
Organisational understanding compounds through use. Specialised intelligence improves through authorised research.
Each customer accumulates a richer history of evidence, decisions and outcomes. Training reusable models is a separate process, using data with the required rights and authorisation. A workspace decision is not training consent.
USE
JUDGEMENT
DATA
INTELLIGENCE
Validated models support maintenance
DEPENDENCY
↺ USE
DEPENDENCY
General intelligence becomes an input.
Orient does not need to build the model that knows everything.
Explore Orient Research →
COMPANY — 10 · COMPETITION
Other companies can reproduce individual capabilities. That is not the advantage.
Orient begins with a different core model: maintained organisational understanding over time.
For an incumbent to become Orient, it would have to rebuild around that primitive, changing not only features, but its data model, architecture and product logic. That is a much larger move than adding another AI capability.
WHAT EACH CATEGORY OPTIMISES
THE STRATEGIC QUESTION
A DIFFERENT CORE PRIMITIVE
Evidence, beliefs, uncertainty, decisions, dependencies, authority and outcomes remain connected as the organisation changes.
Others give intelligence better context.
COMPANY — 11 · RISKS
A working product establishes a foundation. We must now demonstrate reliable continuous maintenance, useful live interaction and lower total burden, alongside four commercial questions.
Will organisations adopt a persistent model across existing boundaries?
Which initial problem produces the fastest path to repeatable value?
Does a successful deployment naturally pull in adjacent teams, agents and systems?
Can Orient be sold and deployed with enterprise software margins?
COMPANY — 12 · THE ROUND
This round funds product hardening and rigorous evaluation, core integrations, implementation capacity and a focused enterprise sales motion.
WHAT THIS ROUND PROVES
THE VENTURE OUTCOME
Organisations will not allow every human, model, agent and application to maintain its own incompatible version of reality. They will need a persistent shared model beneath them.
01
02
03
04
05
06
IF ORIENT OWNS THAT MODEL
