THE FUTURE OF SCIENTIFIC INTELLIGENCE

Science happens
in the physical world.
AI should
understand it.

FIG. 01 — THE OBSERVATION FIELD
STATE / 001
CONTEXT / 024
PHYSICAL → DIGITAL
CONTINUOUS STATE REPRESENTATION
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Explore the system

RealityLoop captures and understands physical scientific execution, turning experiments into structured knowledge for scientists, AI models and robots.

Partner with RealityLoop
REALITYLOOP INC. / SAN FRANCISCO, CA2025 / EXPERIMENTAL INTELLIGENCE
REALITYLOOP / IN THE LABORATORY

Intelligence begins
at the bench.

Human actions. Instrument states. Samples in motion. The physical context behind every scientific result.

RealityLoop product vision: scientists, laboratory instruments and connected experimental knowledge.
FIG. 02 / THE CONNECTED LABORATORYProduct vision
01 / THE MISSING LAYERREALITY IS MORE THAN A RESULT

Science produces data.
But experiments
produce reality.

Most scientific software records outcomes.\n\nRealityLoop records the process that created them.

01

What was the humidity when the reaction started?

Environmental conditions shape experimental outcomes, yet most systems never capture them.

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02

Which pipette was used in trial 14?

Physical execution context is lost between the notebook and the result file.

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03

Did the centrifuge run at the documented speed?

Instruments drift. Protocols adapt. Reality diverges from the written procedure.

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04

Why did Tuesday batch succeed where Monday failed?

Without continuous state capture, you are comparing outcomes without understanding causes.

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05

Can an AI understand what happened in this experiment?

Current data formats describe results. RealityLoop describes physical execution context.

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THE PRODUCT / FROM MOMENT TO MEMORYUNDERSTAND. RECORD. TRACE.
01 / UNDERSTAND & RECORD

The experiment unfolds.
The record takes shape.

Connect what the camera sees with what the scientist says. Bring objects, actions and spoken context into a synchronized experimental record.

REALITYLOOP / LIVE UNDERSTANDING & SYNCHRONIZED RECORDSINTERFACE ILLUSTRATION
01

Scene understanding

Recognize the objects and actions in the workspace.

02

Context capture

Keep spoken observations alongside the physical operation.

03

Reviewable records

Bring draft notes back to the scientist for review.

02 / RETRIEVE & TRACE

From a question
back to the moment.

Find the record, return to the source and inspect the context. Trace an experimental action to its video evidence and the operator’s original comment.

REALITYLOOP / RECORDS & EVIDENCE TRACEABILITYINTERFACE ILLUSTRATION
01

Natural-language retrieval

Ask about an action, sample or experimental step.

02

Source-linked evidence

Return to the matching clip and its timestamp.

03

Experimental context

Review the session, objects and original annotation together.

02 / FROM REALITY TO INTELLIGENCETHE REALITYLOOP PLATFORM

From physical execution
to machine understanding.

EXPERIMENT / 0042ILLUSTRATIVE SEQUENCE
01 / OBJECT TRACKING

Scientist · Sample A · Pipette

01 / Physical world → Multimodal perception

Observe↗

Bring cameras, sensors and instrument logs into one continuous account of an experiment.

02 / Perception → Scientific state

Understand↗

Connect human actions, objects and protocol context. Understand what changed, and when.

03 / Scientific state → Evidence graph

Structure↗

Turn observations into connected, machine-readable states. Keep every claim linked to evidence.

04 / Evidence → Scientific agents

Learn↗

Make experimental experience retrievable, comparable and useful for the next scientific question.

05 / Scientific knowledge → Robotics

Act↗

Connect grounded scientific knowledge to the people and machines that execute the next experiment.

03 / SCIENTIFIC STATECONTEXT, CONNECTED.

A machine-readable
representation of
scientific reality.

ACTIONSTATE TRANSITIONTEMPORAL DEPENDENCY
04 / CAPABILITIESBUILT AS ONE SYSTEM

One system.
Every layer of experimental
understanding.

05 / A SHARED UNDERSTANDINGHUMAN × ARTIFICIAL × EMBODIED

One reality.
Three forms of intelligence.

Know exactly what happened.

Understand experimental execution, identify deviations, preserve tacit knowledge and reproduce successful workflows.

Learn from the physical process of science.

Transform experimental execution into structured multimodal data for scientific foundation models and agents.

Turn scientific knowledge into execution.

Connect structured representations and demonstrations to the next generation of robotic laboratories.

RealityObserveCompareReproduce
SCIENTISTS / GROUNDED IN THE SAME REALITY
THE PHYSICAL CONTEXTEVERY DETAIL HAS A PLACE.

Small actions.
Lasting context.

A sample transfer is more than a step in a protocol. It belongs to a sequence of people, materials, instruments and decisions.

Conceptual editorial photograph of a gloved scientist pipetting into a multiwell plate on a clean laboratory bench.
01 / THE HUMAN ACTIONPreserve the detail of execution.
Conceptual wet-laboratory workcell with a microscope, incubator, samples and a mounted observation camera.
02 / THE EXPERIMENTAL ENVIRONMENTKeep the surrounding context.

From individual operations to connected workspaces, RealityLoop brings scientific execution into view.

AI-GENERATED CONCEPT IMAGERY

06 / LAB BRAININTELLIGENCE AT THE CORE

The Laboratory Brain
Where experiments become understanding

Lab Brain is the intelligence layer that transforms experimental observations into structured, queryable knowledge.

What is Lab Brain?

Lab Brain is RealityLoop central intelligence system — a continuous learning engine that observes, understands, and reasons about laboratory execution in real-time. It does not just record what happened; it understands why, how, and what it means.

How it works

Lab Brain processes multimodal observations from instruments, sensors, cameras, and human actions. It maintains a unified understanding of experimental state, recognizes patterns, predicts outcomes, and builds causal models of laboratory processes. Every observation strengthens its understanding.

Core Capabilities

01

Multimodal Understanding

Integrates visual, sensor, instrument, and human input into unified experimental understanding.

02

Contextual Memory

Maintains complete history of experimental execution with full environmental and procedural context.

03

Causal Reasoning

Builds models of cause and effect, understanding not just what happened but why it happened.

04

Predictive Intelligence

Anticipates outcomes, identifies risks, and suggests optimizations based on accumulated knowledge.

05

Natural Interaction

Responds to natural language queries about any aspect of experimental execution and history.

06

Continuous Learning

Improves understanding with every experiment, building institutional knowledge that compounds over time.

From Observation to Intelligence

Observe

Continuous capture of physical execution

→
Understand

Multimodal processing and state synthesis

→
Remember

Contextual storage with causal links

→
Reason

Query, predict, and guide experiments

Lab Brain is not software that observes experiments. It is intelligence that understands them.

08 / VIDEO SHOWCASESEE REALITYLOOP IN ACTION

Experience the Future

Video Coming Soon

We are creating a comprehensive video that demonstrates RealityLoop capabilities in real laboratory environments. Check back soon to see the system in action.

06 / EXPERIMENTAL MEMORYNOTHING LEARNED IS LOST.

Every experiment
becomes
memory.

What happens today becomes the context for what comes next.

ExperimentObservationUnderstandingMemoryActionRealityLoopLEARN. RETURN. EVOLVE.
07 / OUR CONVICTION

The laboratory already
generates intelligence.
RealityLoop
makes it visible.

01

Observe everything.

02

Understand context.

03

Preserve evidence.

04

Learn continuously.

05

Act reliably.

08 / RESEARCHAN OPEN SCIENTIFIC FRONTIER

Built on questions
worth answering.

Our research directions explore the foundations of intelligence grounded in physical scientific execution.

FOCUS / 01

Learning how experimental states evolve under actions and changing conditions.

09 / BUILD WITH USTHE NEXT CHAPTER OF SCIENCE

Build the future
of physical science
with us.

We work with ambitious laboratories, research institutions, AI companies and scientific automation teams.

PARTNERSHIPS / START A CONVERSATION

Interested in building with RealityLoop? Our partnership contact channel will be announced here.