Foundation model for the physical world.
Sky

Site memory that keeps
robots adapting.

Backed by
percept

The bottleneck is no longer the demo.
It is proving deployment readiness.

Every customer site becomes a bespoke field project.

Embodied models cannot be approved against demos.

Field failures disappear into tickets and tribal knowledge.

Intelligence without memory

Touch a hot stove.
Feel the pain.
Learn nothing.
Tomorrow, touch it again.

Without memory,every edge caseis a first time,forever.

Memory turns experience into capability.

Memory is expensive, and nature paid for it anyway — in lineages that never met. What it buys is a second encounter that goes better than the first.

  • Octopus
  • Bee
  • Slime mold

Robotics keeps shipping smarter models. Yet the experience never becomes capability, so each mission starts from zero.

Without memory, every edge case is a first time, forever.

Deployment outcomes

From first site to fleet memory.

Arrive tested. Intervene less.TeachRememberLearnEvery exception becomes a tested capability the next robot already has.

BeforeTeach

Prove the policy works here before the robot ships.

You giveURDFPolicyRGB scanTask goals

Four inputs in. A site specialist model and deterministic readiness answer out.

  1. Voxel reconstructionYour site, running in simulation
  2. Goals → unit tests“Ready” becomes pass or fail
  3. Thousands of parallel evalsA score before the robot ships
  4. Teacher distillationA specialist that clears every gate

Your FDEapproves the task contract. Percept writes the tests and proposes the fix.

base checkpoint never modified
SITE-01 · SITE EXPERTDOCK 04 · FIELD DATUMFORWARD-DEPLOYED SETUP≈ 6 WEEKSSITE EXPERT PACKAGE3 DAYSGO / NO-GO PUBLISHED BEFORE ARRIVAL
site capture → first site expert, before arrival10× faster to first rollout

DuringRemember

Run the site expert while operational memory builds.

The robot acts from site experience instead of reasoning from scratch.

  1. Live spatial modelThe map matches the floor
  2. Validated skillsProven behavior, not improvisation
  3. Evidence captureEvery run leaves a record

Your FDEsupervises the rollout and handles only what is genuinely new.

fewer field interventions
SITE-01 · VERIFIED MISSION PATHFDE HOURS ↓M192hM274hLOW-LIGHT OCCLUSIONnext viewpoint correctedM351hM433hBLOCKED ROUTEverified detour retainedM519hM68hSITE LOCK ↑
acts from site experience, not from scratch−91% FDE hours by M6

AfterLearn

Turn each exception into a tested improvement.

Compatible robots at the site inherit every fix that passes.

  1. Failure clusteringPatterns instead of tickets
  2. Simulation replayThe failure runs on demand
  3. Sealed regressionIt never comes back

Your FDEreviews high-impact changes. The rest is automated.

tested capabilities carry forward
FLEET MEMORYCLOSED LOOPR-12Dock 4R-07Aisle 11R-19Yard BAUTO-CREATEDLE-104LEARNEDEXPERIENCECI / REGRESSIONscenario suitebaseline comparepromoteBASELINE HELDPROMOTED BASELINE → NEXT MISSION
exception → tested capability → next robotimprovement loops, baseline intact