English
English中文Русскийहिन्दी
Request DemoTry Trio-Spark
MachineFi Labs

Situated World Models.Built to Move.

Intelligence focused on the world at hand, ready to help an agent choose its next move.

Partner with us→Get Started→
Read Technical Paper→Learn More→
Product · Trio-Spark Now live

A fast decision API
for your agent.

Send the current state as text, an image or a short sampled video, plus the two to eight moves your application allows. Trio-Spark returns one choice and a probability for each, from a single forward pass, with zero generated tokens.

91.5%on a ten-task panel of 2,977 decisions
118 msmedian model time per decision
$0.042per million input tokens · output free
Explore Trio-SparkPricing
Trio-Spark accuracy against Jev 1.14, Clef-Flash and Clef on thirteen benchmarks; Trio-Spark is best on seven
Same items for every model. Method and footnotes.
The next chapter of AI

Language models won the screen.The physical world is next.

The last decade of AI was won in text, code, and pixels — the digital surfaces humans already interact with. The next decade will be won where humans actually live and work: retail floors, warehouses, factories, hospitals, city streets. These environments generate video, audio, and sensor data around the clock.

Language models can’t reason about this world.They were never built to. Trio is.

Sortation Cell · Left/Right Arms
Cycle stall detected
Package flow below target
Grip-recover sequence triggered
Café · Counter · 09:42
Queue building at counter
Barista handoff delayed
Warehouse · Aisle 7 · 14:05
Worker entered active lane
Forklift approaching zone
 cameras deployed globally
24/7multi-modal streams per site
~%of enterprise data on-prem
$B+physical-world AI · 2030 (est.)
The model

From an environment's signalsto useful judgment.

The original input → model → output architecture remains the visual anchor for the research program. Different environments call for different signals, judgments, and forms of feedback.

VideoRTSP · MP4 · LIVEMulti-stream feeds
AudioOn-device · StreamingAcoustic signal
SensorTemp · Motion · PowerEquipment telemetry
Trio · World Model
Multi-modalFusion Engine
Joint patterns · Single inference
Operational SemanticsStructured · LLM-readyEvents · entities · context
Real-time Action SignalsWebhook · Stream · gRPCSub-second · agents · robots
Scene StateWorld representationSpatial · agents · robots
Why Trio

Built differently —for how physical AI actually ships.

Verticals in production

Situated means specific.

Trio is deployed and being piloted across the verticals where physical operations matter most.

Robot Data QA

Check every teleop episode against its task label before it reaches training. Each clip is auto-accepted, auto-rejected or sent to a person.

  • Label match
  • Auto-triage
  • Teleop data
85%
label match, 4 options
84%
of claims cleared automatically
~3%
error on automatic decisions
Zero-shot on 256 public DROID episodes. See the results
Don’t see your industry? Talk to us
Trio-Spark rejecting a robot episode whose task label does not match the recorded clip

For vertical AI builders

You own the workflow. We run the model engine.

You handle the workflow and UX. Trio runs the multi-modal engine — OpenAI-compatible, fine-tunable, 24/7-priced.

Build with Trio→

For hardware & VMS partners

Whitelabel-ready intelligence inside your devices.

AI inside the box, no footage to the cloud. Trio runs at the edge on existing silicon and ships under your brand.

Integrate Trio→
Backed by
Samsung Next
Goodwater Capital
Hanwha
Xoogler Ventures
Escape Velocity

Build for the world at hand.With Situated World Models.

Partner with us→Get Started→
Read Technical Paper→Learn More→