OR.BIT.Ai Base edge hub centered on a dark surface with its green light guide illuminated

Local intelligence.Built into the building.

A secure edge platform connecting energy, devices and operations without sending sensitive data away.

BUILDING OPERATIONS CASE STUDY

What if one intelligent layer could turn invisible waste into measurable value?

A commercial building can contain advanced HVAC, lighting, access, metering and maintenance systems. It can still waste millions because those systems do not understand or coordinate with one another.

What if one intelligent layer could reduce energy use by up to 29% and cut controllable operating costs by as much as 16%?

Modeled reference scenarios. Performance must be validated through a measured building pilot. The 29% energy scenario is a research-bounded high-opportunity case, not a guaranteed result.

Architectural cutaway of a commercial office showing disconnected HVAC, lighting, energy, water and maintenance systems operating across the building — Existing systems remain authoritative. OR.BIT.AI acts as a local supervisory intelligence layer above them.

The invisible cost

Most building waste does not come from one catastrophic failure.

It accumulates through thousands of small decisions that no system is responsible for understanding as a whole.

Empty rooms conditioned or illuminated
Heating and cooling operating together
Schedules continuing overnight
Sensor drift and equipment short cycling
Loads peaking at the same time
Repeated alarms without verified resolution
Continuous water flow and leak anomalies

Every invisible inefficiency has a price.

The intelligence layer

See the waste. Explain it. Assign a bounded response.

Architectural cutaway of an office with a unified green local intelligence layer coordinating energy, ventilation, lighting and occupancy systems — One local intelligence layer coordinates existing systems while they remain authoritative.

01Physical equipment and safety systems
02Existing building-management systems
03Secure integration and data layer
04Local OR.BIT.AI intelligence
05Operator workflows and approved actions

ObserveEstablish the baseline and evaluate data quality.
ExplainDetect faults, waste and operating opportunities.
RecommendPrepare a specific action, expected benefit and rollback method.
SuperviseExecute changes after authorized operator approval.
OptimizePerform preapproved actions within defined operational boundaries.

Life-safety systems, equipment interlocks and OEM protections remain authoritative.

Four mechanisms turn operating evidence into value.

Select a mechanism to explore its operating context and approved response path.

Premium office cutaway with green energy, ventilation and occupancy systems coordinated by local intelligence — Energy intelligence connects measured demand to bounded local action.

Occupancy-aware HVAC and lighting
Schedule and setpoint optimization
Ventilation matched to actual demand
Peak-demand coordination
Approved load staging and preconditioning

Reference building economics

A transparent model, not a promise.

Scenario values describe modeled targets for a 20,000 m² reference office. Every target must be tested against a measured building baseline.

Commercial office and mechanical plant operating with coordinated green energy systems and technicians verifying equipment performance — Operating value begins in the building: measured loads, maintained equipment and verified changes.

Scenario

Reference market

20,000 m²Reference office

$3.0MControllable annual operating cost

$346,500Modeled annual saving

11.55%Controllable operating-cost reduction

Base: pilot target hypothesis. Energy-reduction scenario: 20%.

Where the modeled saving comes from

Savings do not come from a single switch. They come from continuously detecting waste, coordinating systems, resolving faults and verifying that every action produced a measurable result.

View the numbers

Modeled category savings for the selected market and scenario
Category	Baseline	Scenario	Modeled saving

Modeled targets to be validated in a pilot. Energy scenarios are informed by published building-controls research. Non-energy savings are OR.BIT.AI planning assumptions. Figures exclude implementation and ongoing service costs.

From one building to a portfolio

One intelligent building creates savings.
A connected portfolio compounds the opportunity.

NYC annual modeled run rate

A verified commercial building extending its green operating intelligence across a portfolio of comparable office buildings — Scale follows verification, building by building.

Portfolio values are modeled annual run rates for comparable stabilized assets. Actual results will depend on building selection, data quality, control readiness, integration cost, ownership structure and rollout performance.

The 90-day proof path

Make the building prove the value.

OR.BIT.AI begins with observation, evidence and measurable operational outcomes. It advances toward supervised and bounded autonomy only as the building becomes ready.

Building engineers verifying local intelligence equipment and calibrated mechanical systems during a controlled assessment — Baseline first. Approved action second. Verification always.

BaselineFreeze the operating baseline and define the measurement boundary.
ObserveConnect in read-only mode, validate data and identify recurring waste.
OptimizePresent bounded recommendations and perform only approved changes.
VerifyMeasure the result, document savings and make a quantified scale or stop decision.

No assumptions hidden behind a dashboard.
Every action recorded. Every result measured.

Methodology

Reference property: 20,000 m² commercial office
NYC controllable operating-cost baseline: $3.0M annually
Sweden controllable operating-cost baseline: SEK 24.0M annually
Energy scenarios: 12%, 20% and 29%
Measurement principle: Adjusted baseline minus performance-period use
Variables requiring adjustment: Weather, occupancy and agreed operating changes
Exclusions: Capital expenditure, financing, tax, incentives, lease recoveries, renewable-energy credits, avoided replacement, rent effects, insurance and monetized comfort
Result status: Planning scenarios, not guaranteed performance

Start a pilot conversation

Life automation.
For the physical world.

OR.BIT.Ai is building a life automation platform for buildings and the people in them. At its heart is one intelligent device that brings connected systems together, learns your routines locally, and adapts to your needs.

What the smartphone did for digital life, OR.BIT.Ai aims to do for the physical world—at home, at work and beyond. It recognises patterns, anticipates everyday needs, and automates tasks you’ve approved without constant instructions. It also flags unusual activity and potential risks.

Your private data stays on your device. You control what it learns and what it can do.

Less to manage.
More space to live and work.

See how it works

Our long-term vision. Features and supported integrations will be documented for each release.

OR.BIT.Ai Base reference design, the local device at the heart of the life automation vision — Supported systemsLocal understandingYour permissions

ONE CONNECTED EXPERIENCE

The systems around you, working together.

OR.BIT.Ai is designed to connect supported devices and building systems through one local intelligence layer. As integrations become available, it can help coordinate everyday tasks across your spaces—within the permissions and limits you choose.

Smartphones

Use a supported phone connection to review information, approve sensitive actions and manage the preferences you choose to share.

Sensitive changes need your confirmation. Familiar actions remain automatic only within separately approved limits.

Concept illustration of a phone beside the OR.BIT.Ai Base reference design — Concept illustration. Supported integrations and controls depend on each release.

PCs and computers

Bring supported computer-based workflows into the same environment, so approved events and tasks can coordinate with your space.

The chosen scene may run within approved light, comfort and equipment limits. New actions or changed permissions need confirmation.

Concept illustration of a laptop and monitor with a permitted connection to the OR.BIT.Ai Base reference design — Concept illustration. Supported integrations and controls depend on each release.

Gaming consoles

Where a console or connected entertainment system supports an approved integration, coordinate the surrounding experience—for example, a chosen lighting or sound scene.

Only the previously approved light groups, audio zones and volume limits respond. Adding a device or widening limits needs approval.

Concept illustration of a generic console, controller, lights and speakers — Concept illustration. Supported integrations and controls depend on each release.

Smart appliances

Check status and coordinate supported appliances within safe operating limits and permissions.

A local status reminder may appear automatically within your settings. Physical changes require explicit supported controls and safe operating limits.

Concept illustration of a refrigerator, washer and dishwasher with simple non-text status markers — Concept illustration. Supported integrations and controls depend on each release.

Lighting

Let supported lights respond to schedules, room use and preferences within limits you set.

Changes can be automatic within agreed groups, brightness limits and timing. Unfamiliar scenes or expanded access need confirmation.

Concept illustration of permitted light groups across three rooms — Concept illustration. Supported integrations and controls depend on each release.

Heating, ventilation and air conditioning (HVAC)

Help supported climate systems adjust to space conditions and approved comfort settings.

Automatic changes require validated conditions and defined comfort and equipment limits. Sensitive, unfamiliar or out-of-policy adjustments need approval.

Concept illustration of climate zones, ventilation equipment and environmental sensors — Concept illustration. Supported integrations and controls depend on each release.

IoT devices and sensors

Bring supported signals—such as room conditions, door status or moisture alerts—into a clearer view of what is happening.

Notify automatically within settings. Ask before a valve action unless that compatible non-critical action already has a validated, pre-approved policy.

Concept illustration of a moisture puck, door contact and room-condition sensor feeding permitted signals to a local hub — Concept illustration. Supported integrations and controls depend on each release.

Sound and entertainment systems

Coordinate supported speakers and entertainment devices with approved routines and spaces.

Approved zone and volume settings may run automatically when the routine is chosen. New account access or expanded zones require separate confirmation.

Concept illustration of separate speaker groups and a user-selected audio routine — Concept illustration. Supported integrations and controls depend on each release.

Cutaway of a connected building with energy and mechanical systems converging into a local intelligence layer

One unified local layer.

Across the systems already installed.

Energy, HVAC, access, sensors and tenant systems often live in separate silos. OR.BIT.Ai is being developed as the accountable layer that connects them locally.

Energy

Baseline, optimize, verify.

Devices

Connect, identify, maintain.

Security

Authorize, log, recover.

THE OR.BIT.Ai VISION

Life, working together.

Your day is full of small things to manage. Your environment should help carry that load.

OR.BIT.Ai is a life automation platform designed to bring your connected spaces together. It learns from the routines and preferences you allow it to understand, helping everyday tasks happen with less effort and fewer repeated instructions.

Less instruction. More understanding. Always under your control.

Connected building systems converging into a local intelligence layer — Supported signals Room conditions
Water sensor alert

Local understanding **Routine recognised**

Permission boundary Act within limits
or request approval

OR.BIT.Ai Base device with its green light guide illuminated — Supported signals Room conditions
Water sensor alert

Local understanding **Routine recognised**

Permission boundary Act within limits
or request approval

ADAPTS WITH YOU

Recognises recurring patterns and develops its understanding through local learning and your feedback, so familiar tasks need less repeated input.

CONNECTS YOUR ENVIRONMENT

Coordinates supported devices and systems around the way you live and work, reducing the need to manage everything separately.

HELPS YOU NOTICE WHAT MATTERS

Brings unusual events and potential risks to your attention, with clear context and responses governed by your permissions.

KEEPS YOU IN CONTROL

Acts within boundaries you set, asks when approval is needed, and keeps private data and learned preferences on your device.

Private data stays on your device. You decide what it learns and what it can do.

Hardware trust

Protected identity, measured boot, secure foundations.

Lifecycle platform

Signed updates, rollback, fleet policy, diagnostics.

Protocol services

BACnet/IP, MQTT, and selected bridges.

Bounded AI runtime

Local inference, policy checks, thresholds, fallback.

Operator and evidence

Roles, approvals, alarms, explanations, audit export.

Label-free exploded view of the OR.BIT.Ai Base edge hub on a black background

Facilities operator reviewing a decision in a modern building operations room

AI proposes.
Authorized people decide.

Consequential actions stay bounded by policy, confidence thresholds, and human approval.

Policy review

Action held for authorization

Proposed action

Adjust the overnight ventilation profile.

Confidence

Within threshold

Policy

Approval required

Evidence

Reason visible

Decision control demo

The system explains its recommendation. An authorized operator chooses whether it proceeds.

One platform.
Three deployment scales.

A product family being developed for bounded pilots, professional buildings, and larger operational environments.

Label-free exploded views of the OR.BIT.Ai Base, Pro, and Enterprise hardware family

Pilots and bounded zones.

A compact edge hub for focused pilot programs, smaller buildings, and defined operational areas.

Built for buildings with real operational complexity.

Contemporary commercial office with integrated building systems at dusk

Commercial offices

Energy optimization, device governance, security monitoring, and operator workflows.

Privacy-conscious contemporary residential development at dusk

Residential developments

Design-in integration, shared-building zones, and privacy-first local automation.

Refined hotel lobby with discreet integrated building operations

Hospitality

Guest comfort, maintenance workflows, and portfolio-standard operating profiles.

ILLUSTRATIVE DEPLOYMENT PATTERNS

Nine ways the local layer can support a building.

Each example starts with permitted building signals, keeps authority explicit and reports what is confirmed, uncertain or unavailable.

A meeting room powers down responsibly

When a room appears empty, OR.BIT.Ai can help reduce unnecessary operation without identifying the people who used it.

Signals: Non-identifying occupancy, an approved schedule and compatible equipment status.
Bounded response: Recommend or apply pre-approved changes to lighting, displays and ventilation, then show what is confirmed or unconfirmed.
Authority and fit: Managers set limits and staff retain manual control. Base suits a bounded room or floor pilot, with Pro for broader office operations.

An overnight ventilation change needs a decision

Changing conditions can be translated into a clear operational recommendation instead of an unexplained automated adjustment.

Signals: Approved schedules, room conditions and current HVAC status.
Bounded response: Propose a revised profile, explain why it may help and report whether compatible equipment accepted the instruction.
Authority and fit: An authorised operator approves changes outside an existing policy. Pro is the intended scale for wider workplace coordination.

A pattern appears across several sites

Related equipment observations can be grouped into one inspectable maintenance signal without claiming a confirmed fault.

Signals: Permitted temperature trends, sustained state changes and compatible equipment telemetry.
Bounded response: Label a possible issue, show supporting observations and prepare an inspection task for the operations team.
Authority and fit: Staff decide whether work proceeds. Pro suits multi-site operations, while Enterprise is intended for larger campuses and portfolios.

A room is prepared around an approved plan

Supported room systems can arrive at a defined ready state while personal preferences remain optional and under guest control.

Signals: An approved room schedule, authorised room status and current local conditions.
Bounded response: Coordinate supported lighting and climate settings, then flag any device that does not respond.
Authority and fit: Staff define the operating profile and the occupant retains manual control. Pro is the intended hospitality scale.

A possible water leak appears in a service area

A local signal can become a precise alert with context, permission checks and a visible response state.

Signals: A supported moisture sensor and, where available, compatible flow information.
Bounded response: Notify staff and propose a non-critical valve action only when the installation has a validated, pre-authorised policy.
Authority and fit: Staff choose the operating mode. Certified fire systems and automatic external response remain outside the scenario. Pro fits a property, with Enterprise for a larger managed portfolio.

A room sensor stops reporting

Missing information is treated as a visible operating condition, not silently replaced with an assumption that everything is normal.

Signals: Connection status, last-seen time and the configured reporting interval.
Bounded response: Mark current conditions as unknown, identify affected routines and follow a documented fallback.
Authority and fit: Private room history remains limited to authorised roles. Pro supports property-wide equipment oversight.

A morning needs fewer repeated adjustments

A familiar routine can coordinate supported systems locally while still allowing the day to be different.

Signals: An approved schedule, local room conditions and preferences the resident chose to save.
Bounded response: Coordinate supported lighting, shading and climate, then offer an adjustment when conditions deviate from the routine.
Authority and fit: The resident can change, correct, skip or pause the routine. Base suits a home or bounded residential zone.

A shared entrance remains open after closing

An observed access event can be explained and escalated without inferring who caused it or why.

Signals: A compatible door contact, an approved schedule and authorised access-system events.
Bounded response: Show the event timeline, possible explanations and an alert for the authorised user.
Authority and fit: Access actions require explicit permission and must never obstruct safe exit. Base suits a bounded shared-building zone.

A possible leak is detected near a utility area

The system can distinguish a supporting signal from a confirmed incident and keep the resident in control of the next step.

Signals: A supported moisture sensor, its location and optional compatible flow data.
Bounded response: Explain the trigger, notify the resident and offer a permitted non-critical valve action where supported.
Authority and fit: The resident defines whether approval is always required. Fire suppression and automatic external responders remain independent. Base suits a local residential deployment.

Illustrative scenarios only. They describe the intended OR.BIT.Ai experience, not currently available functions. Compatibility, controls and feedback depend on supported equipment and each release. Learning does not expand authority.

The operating promise.

Local processing by default.
Minimized optional telemetry.
Customer-controlled data.
Bounded actions and visible approvals.
Designed for secure lifecycle management.

Current readiness

Architecture prototype. Production pilot program in development.

The current system is a concept demonstrator and architecture prototype. Readiness is communicated plainly as the platform advances toward controlled pilots.

Built across product, engineering, and real-world operations.

Siavash Kaafi

Co-Founder & CTO

Technical architect behind OR.BIT.Ai, with a lifelong experience developing advanced technical solutions.

Madeleine Mortensen

Co-Founder & CSO

Entrepreneur and business strategist with longstanding expertise in commercial development, market positioning and growth.

Aje Stenbeck

Partner

Entrepreneur and executive business leader with decades of experience leading companies, boards and organizations.

People moving naturally through a human-centered intelligent building at dusk

Buildings should become more intelligent without making people more surveilled.

Request a pilot Talk to the team