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zynoptes.

Stop field-testing in production.

Zynoptes is the AI simulation engineer for robotics. ZynoCode, its CLI, runs on your own machine and builds your first realistic simulation with you, from plain English and any sim code you already have. Then it scales that world into hundreds to thousands of variations, finds every semantic and code failure, fixes it, validates the fix, and keeps going until nothing is left.

  • ZynoCode: a CLI that runs on your own machine
  • build the first world together: plain English plus any sim code you have
  • steer it in plain English: “test recovery when the bin is occluded”
  • then hundreds to thousands of variations, every one executed in Gazebo
  • semantic failures found before deployment
  • find, fix, validate, repeat until nothing is left
The coverage gap

Tested in dozens of worlds. Deployed into millions.

01

Your sim suite is hand-built.

A simulation engineer authors scenarios one at a time, by hand. Coverage grows linearly with headcount, and headcount is always the bottleneck.

tests/pallet_suite.yaml
✓38/38 pass
1suite: palletizing · 38 hand-authored scenarios
2occlusion: none # untested
3lighting: nominal
4layout: nominal
5friction: nominal
6sensors: nominal
7timeout_s: 90
8trials_per: 20
9status: 38/38 passing
field/mission_4417.log
✓no faults logged
1mission 4417 · pick → place
2bin: 60% occluded · light: low
3grasp: committed
4place: complete
5faults: 0
6report: “success”
7parcel: 14 cm left of pallet
8task: failed
semantic failure · no fault code
zynoptes failure report #001semantic

Placed beside the pallet: gently, successfully, wrong

scenariobin 60% occluded · low light
faults0 · nothing logged
coverageuntested class · suite of 38
Impact: a clean run that failed the task. No error code, no alert; caught by the outcome judge, not the logs.
The loop

Six stages. One closed loop.

01 BRING02 BUILD03 SCALE04 FIND05 FIX06 REPEATurdf →drivers/perception/control/planning/fleet/sim 01✓sim 02✓sim 03✓sim 04✓sim 05✓VERIFY

Bring. Whatever you already have: the robot description (URDF, SDF, USD), your controllers and code, and any simulation worlds or scenarios you've built. No re-modeling, no new format to learn.

What it finds

Failures found before deployment.

The failure classes ZynoCode hunts on an industrial manipulator. Every one it reports ships with its replay and evidence.

failures · found in simulation
grasp faultPerception
BEFOREAFTER→binbin✕place: “success”the fault fires on contactas logged · faults: 0unreachable grasp pose

Occluded bin under low light

The target bin half-hidden behind a pallet, ambient light cut. The grasp planner commits to a pose it can't reach and only faults after contact. It never shows up in a lit, unoccluded suite.

  • Occluded bin under low light (Perception, grasp fault): The target bin half-hidden behind a pallet, ambient light cut. The grasp planner commits to a pose it can't reach and only faults after contact. It never shows up in a lit, unoccluded suite.
  • Narrow aisle with a dynamic obstacle (Planning, path timeout): A pedestrian crosses the aisle mid-traverse and the planner oscillates between two equally long detours until the mission timer expires. Deadlocks like this live in a narrow band of aisle widths that hand-written suites rarely sample.
  • Worn gripper, glossy parcel (Semantic, misplaced drop): Degraded gripper friction and a high-gloss package: the arm places the parcel beside the pallet, gently and cleanly. No fault code, nothing in the logs. Caught by the outcome judge.
  • E-stop release near a rack edge (Safety, unsafe recovery): Resuming after an emergency stop, the recovery behavior sweeps the elbow through a rack upright from one specific starting configuration. Found by varying the pose, not by reading the code.
  • Repetitive shelving in fog (Localization, localization drift): Long featureless shelving plus degraded lidar produces slow pose drift that compounds across picks until the arm targets the wrong slot. It only emerges over full missions, so single-run tests miss it.
  • Every fix becomes a permanent test (The loop, regression suite): Each failure ZynoCode finds becomes a standing regression scenario. Its proposed fix re-runs against the full matrix, and the suite then guards every code change after it.
Why now

Robots are leaving the structured warehouse for an unstructured world, and hand-written scenario suites can't keep up. Frontier models can finally model worlds. We built the harness that turns that capability into a closed testing loop: worlds generated, scenarios executed, failures found, fixes proposed and validated. The intelligence is in the harness.

Pricing

Bring one robot. We'll bring the worlds.

One license runs the whole loop on your robot, on your machines, and backs every reported failure with its replay and evidence.

Every robot

Let's talk

Quoted from robot complexity, scenario volume, and execution scale. No rate card, no procurement cycle.

  • ZynoCode CLI: bring, build, scale, find, fix, repeat
  • Co-pilot the first world in plain English, plus any sim code you have
  • URDF, SDF & USD ingest · Gazebo execution
  • Hundreds to thousands of variations per robot
  • Every failure ships its replay and evidence
  • Continuous re-testing on every code change
  • Runs on your machines: laptop, VPC, on-prem, air-gapped

Monthly or annual · cancel anytime

FAQ

Fair questions.

They're the engine; we're the engineer. Gazebo and Isaac simulate whatever world you hand them; authoring those worlds and scenarios is the expensive, manual part. ZynoCode builds what runs inside them with you, then generates the variations, executes them at scale, and judges the outcomes. We don't replace your simulator; we finally keep it busy.

Break it before
the world does.

Spend less time building simulations and get to production faster. See where your robot fails while failures are still free.