SIMLABS / RESEARCH AND ENGINEERING

We build the whole machine.

simLabs is the AI company inside SimulatingMachines. We research frontier intelligence, train our own venue models, rebuild spaces in 3D, and build the terminals, the software they run and the digital humans they present. One team owns the chain from physical to digital.

OWN MODELS3D RECONSTRUCTIONHARDWARE + SOFTWAREDIGITAL HUMANS
simLabs engineers reviewing a Terminal Agent and the 3D venue model behind it

THE POSITION / OWN THE WHOLE CHAIN

An AI company from metal to model.

Plenty of vendors assemble licensed parts and hand the result over. simLabs exists so we never have to. We run the research, train the models, rebuild the spaces, design the terminals and write every layer of software they run. When an agent stands in a venue, the whole chain beneath it is ours: built here, improved here, answered for here. That ownership is what lets us pioneer agentic representatives in physical space.

AN IMPLEMENTATION COMPANYLicenseAssembleHand over
SIMLABSResearchTrainBuildOwn

THE CHAIN / PHYSICAL TO DIGITAL

Every layer, built under one roof.

From sheet metal to model weights: each layer of a deployment is a simLabs discipline. The parts are designed for each other, and no part is a black box licensed from someone else.

  1. 01 / HARDWARE

    The terminal itself

    Enclosure, display, microphones, speakers, sensors and compute: machines designed for public floors, built and serviced by simLabs.

    THE PHYSICAL END
  2. 02 / SOFTWARE

    The stack it runs

    The agent runtime, the voice interaction, the on-screen experience, the safety rails and the fleet tools that operate and measure every terminal in the field.

  3. 03 / MODELS

    Intelligence trained in house

    Retail- and venue-specific models we train ourselves, running locally when security or latency demands it, sharpened by our frontier model research.

  4. 04 / SPATIAL

    The venue in 3D

    Spaces reconstructed by our team from site capture, floor plans or CAD, with inventory pinned to place and a route to any product, gate or seat.

  5. 05 / PRESENCE

    Faces, holograms, machines that move

    Digital humans designed for the venue, licensed avatars of real people, and research into holographic and robotic embodiment.

  6. 06 / DATA

    What the venue learns

    Interaction datasets, experience intelligence and analytics products, governed by the customer and owned as a customer asset.

    THE DIGITAL END

SIMLABS / CAMPAIGN FILMS

See the system behind the representative.

From venue training to spatial routes, traceable handoffs and experience intelligence. The full film introduces the simLabs system; the cutdown is built for launches and social campaigns.

01 / SIMLABS FILM / 24 SEC

The AI company behind the agents.

Train for the venue. Map the real place. Connect to the operation. Learn under customer control.

02 / LAUNCH CUTDOWN / 10 SEC

From passive screen to physical representative.

A compact campaign edit for launch posts, venue presentations and partner outreach.

Read the visual sequence

One venue-trained representative leads into an indoor route and inventory map, then a traceable human handoff, aggregate experience intelligence and a governed learning loop across separately placed service points.

RESEARCH / BUILD / PROVE

The programs inside simLabs.

Standing research and engineering programs, run like a lab and shipped like a product company. Proof of concept first; deployment when it earns it.

01RESEARCH

Frontier intelligence, applied

We study frontier models and turn what holds up into agents that can listen, speak and act in a loud, physical place.

Findings ship as runtime capability, not shelfware.
02TRAIN

Models of our own

Venue- and retail-specific models trained in house to host the place: its catalog, policies, services and voice.

Local execution keeps sensitive workloads on the floor.
03RECONSTRUCT

Spaces rebuilt in 3D

Our team turns site capture, floor plans and CAD into navigable 3D venue models with precise indoor routes.

A route ends at a shelf, gate, seat or door, not a category.
04LOCATE

Inventory pinned to place

Products, services, rooms and resources mapped to the exact spot a visitor can walk to.

Closures, accessibility and multi-stop journeys live in the same layer.
05BUILD

The machine and its stack

Terminal hardware and its complete software stack, designed together: runtime, tools, analytics and fleet operations.

The team that builds the box builds the software inside it.
06EMBODY

Digital humans of real people

Realistic 2D and 3D avatars, from venue hosts to licensed likenesses of artists, athletes and ambassadors.

Consent, licensing and final approval sit with the person.
07EXTEND

Holographic and robotic presence

Proof of concepts that move the same agent beyond the screen: light-field holograms today, robotics research next.

Concepts graduate into the product line when they earn it.
08CONNECT

Wired into the operation

Agents integrated with ticketing and case-management systems, with governed datasets and learning across the fleet.

Every handoff traceable. Every dataset a customer asset.
A retail venue and its mapped indoor 3D model with an exact routeSPATIAL + INVENTORY INTELLIGENCE

ONE QUESTION / ONE CONNECTED SYSTEM

Every answer can lead somewhere real.

A visitor asks for an item. A model we trained understands the request. Inventory intelligence finds it. The 3D map our team built from site capture, plans or CAD draws the route. If the request needs a person, the agent creates a traceable handoff.

ASKUNDERSTANDLOCATEROUTERESOLVELEARN
A licensed digital human of an artist hosting fans on a stadium terminal

DIGITAL HUMANS / LICENSED LIKENESS

Real people, present at scale.

simLabs builds realistic digital humans of real people, with consent and under license. An artist can greet every fan walking into the stadium. A club legend can host the team store. A sponsor's ambassador can hold a thousand conversations at once and make each one personal.

  • Likeness and voice approved by the person
  • Artist, athlete and ambassador activations
  • Sponsor moments fans can actually talk to
  • The same craft behind every venue host we ship
A light-field holographic host standing in a retail space

NEXT EMBODIMENTS / HOLOGRAPHIC + ROBOTIC

The screen is not the finish line.

The agent that lives in a terminal can step into a light-field hologram, and in time into machines that move. simLabs prototypes these embodiments in real venues now, so customers adopt them as products rather than experiments.

  • Light-field holographic presence
  • Robotics research for physical service
  • Proof of concepts run on real floors
  • One agent identity across every embodiment
One Terminal Agent transferring context to a human support desk

CONNECT / AUDIT / ESCALATE

Fit the operation already in place.

Terminal and Host Agents can create cases, attach the useful context, route a request to the right team and receive a resolution from the support systems the customer already trusts.

  • Ticketing and case-management integrations
  • Traceable agent-to-human handoffs
  • Customer-defined audit records
  • Resolution signals returned to the agent
Venue strategists reviewing aggregate route and demand patterns

DATA PRODUCTS / EXPERIENCE INTELLIGENCE

Turn service into a customer-owned learning asset.

Authorized interactions can become governed datasets for the customer's own products and analysis. Aggregate demand and route patterns can inform service design, campaign strategy, messaging and physical placement without turning the venue into a surveillance system.

  • Customer-ready interaction datasets
  • Demand and unresolved-intent patterns
  • Route starts, destinations and friction
  • Campaign and placement hypotheses for human review

FLEET LEARNING / CORRECTLY PLACED

One terminal per service point. One shared learning system.

Terminals belong where people need help: an entrance, concourse, aisle zone or reception. They do not need to sit together. simLabs connects the approved learning behind them, so a resolution in one part of the venue can improve support elsewhere.

01

Interact locally

Each service point serves the questions, routes and workflows of its own zone.

02

Review centrally

Teams see patterns, unresolved needs and candidate improvements without exposing unnecessary personal data.

03

Approve deliberately

Only governed answers, routes and resolutions become reusable fleet knowledge.

04

Improve everywhere

Approved learning reaches the relevant agents across the venue while each remains correctly placed.

LOCAL PROCESSING OPTIONSCUSTOMER-DEFINED DATA CONTROLSAUDITABLE HANDOFFSGOVERNED FLEET LEARNING

OUR MISSION

Put capable AI support agents and representatives into the real world.

So store, venue and event teams can focus on the work that needs people most.

CONTACT / TALK TO SIMULATINGMACHINES

Start with the place.

Bring us the place and the problem. simLabs will research it, model it, map it and build the machine that answers it on the floor: hardware, software, intelligence and the learning loop around all of it.

Talk to SimulatingMachines