Bring in the work
Start with the files, cases, or batches your team already uses. No demo-only workflow.
→The hard part is the step nobody wants to trust. We standardize it, return a clean result, and keep the model that gets better.
Biology, chemistry, physics, materials, astronomy, climate, environmental, medical.
Engineering, spatial 3D, manufacturing, financial, robotics.
Bring the work. Standardize the step. Leave with a clean result.
Bring in the work. Standardize the step. Hand off a clean result.
Start with the files, cases, or batches your team already uses. No demo-only workflow.
→Turn the slow, risky, or inconsistent step into one clear workflow with review and sign-off attached.
→The next team gets one result it can actually use. The model gets better. Your team keeps the improvement.
Domain Labs run on your own data, in your own tenant. The reviewed record stays with your team. The tuned model stays with your team.
Files, batches, and cases your team already runs. Not a demo.
In your VPC. Your keys. Your retention policy.
The model that gets better stays with your team. On export, forever.
Each card: the workflow, the step we standardized, what the UI does, what comes out.
Screen sequences, review molecules, triage scans, compare materials, and sort detections from noise.
Cellular membrane with nucleus and organelles
Screen risky sequences before they reach synthesis or the bench.
Laboratory beaker with reagent level
Compare routes and choose the path the bench can actually defend and run.
Damped sinusoid signal trace
Review simulations against reality before a result moves into design, science, or reporting.
Crystalline lattice of atoms
Screen material candidates and move only the right ones into qualification.
Elliptical trace around a luminous body
Separate real signal from noise before scarce follow-up time gets spent.
Isotherm contour map
Turn climate scenarios and monitoring work into a reporting record people can trust.
Leaf with venation and sensor markers
Review site conditions and document which response was actually approved.
Clinical pulse waveform
Triage cases and keep every hard clinical decision attached to the record behind it.
Review decisions, inspect production issues, score robotics runs, and ship cleaner datasets and records.
Mechanical gear with inspection markers
Review changes against requirements before they become release, safety, or cost problems.
Isometric 3D scene wireframe
Keep scene, alignment, and delivery decisions traceable from capture through handoff.
Production line with quality stations
Review inspections and decide what can ship with the evidence attached.
Candlestick chart with trend line
Review risk decisions and explain the edge cases before an examiner or committee asks.
Robotic arm with joint pivots and gripper
Collect the real-world human actions, spaces, tools, and failure cases robots need to learn.
Start with a model that fits. Improve it through real work. Keep the stronger result.
Every lab starts from a model already suited to the workflow instead of a blank slate.
Approvals, corrections, and outcomes from the workflow become signal on your own data.
The stronger model stays with your team. You are not renting a black box forever.
We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.
A model already suited to the workflow.
A stronger model, a reviewed record, and a clean result.