Connect & evaluate
Register a worker, model and dataset target. Run clean-versus-blur COCO detection tests with your acceptance criteria.
Available
VISUAL AI / EVALUATION & IMPROVEMENT
Monitor. Evaluate.
Find the failure.
Measure.
Patch the fix.
Turn model weaknesses into a clear next step. Evaluate before release, review the evidence, and build toward a better model.
Object-detection audits available. Continuous monitoring and broader model adapters are planned.
PERCEPTION / TEST ENVIRONMENTILLUSTRATION
Clean input → stress condition → measured result●
BUILT FOR VISUAL AI TEAMSCVLarge vision modelsVision-languageVision-language-actionBroader adapters coming soon
OUR MISSION / YOUR NEXT RELEASE
Evidence before
deployment.
A strong average score can hide a costly failure. Blur, small objects, changing light and occlusion can expose weaknesses that clean inputs miss.
Our mission is to make rigorous validation accessible to lean AI teams. Our vision is a repeatable path from a measured weakness to a tested improvement—with private data staying in your environment.
See what you can do today ↗THE EVALUATION LIFECYCLE
From signal
to next action.
Find & measure
Read AP metrics, failed gates and downloadable findings. Inspect the underlying errors locally.
Available · deeper diagnosis planned
Choose a solution
Use your own team, request Autophag QA review, or plan a targeted augmentation bundle.
QA requests available · checkout and Cure planned
Patch & re-evaluate
Train or configure a candidate, then test robustness and clean-task regressions on held-out data.
Automated candidate workflow planned
PUBLIC DEMONSTRATION / REAL INFERENCE
A failure you
can measure.
The public SSDLite detector lost 5.79 percentage points of COCO AP under the tested Gaussian blur.
50 COCO validation images · 365 annotations · Gaussian blur radius 2. This small public subset is a demonstration, not client-model performance or a full COCO benchmark.
COCO bounding-box APQUALITY GATE / FAIL
0%50%100%
−5.79 pp
Measured AP change.
A failed gate is the start of investigation.
WHO WE ARE BUILDING FOR
Different environments.
One need for evidence.
Developers, startups and engineering teams building visual AI for real operating conditions.
Aerospace, drones & satellites
Aerial detection, satellite imagery and aircraft inspection.
Manufacturing
Small defects, surface inspection and changing light.
Robotics & logistics
Obstacle detection, object grounding and action constraints.
Construction & infrastructure
Heavy civil, vertical and horizontal construction: roads, bridges, buildings and utilities.
Renewable energy
Solar arrays, wind turbines and installation inspection.
Transportation
Perception under blur, low light and adverse conditions.
Healthcare
Annotated task performance and subgroup evaluation.
Agriculture
Crop and disease detection in changing field conditions.
Retail
Product recognition, counting and occlusion.
Intended client sectors. Specialist suites, industry categories and adapters are being developed around each task; these are not claims of existing customers or complete industry coverage.
BRING YOUR OWN STORAGE / BYOS
Your data.
Your environment.
Install a worker where your model and evaluation data already live. Send numerical summaries and evidence fingerprints to your workspace.
Public demonstrations use public data. Client images, model files and raw predictions are not uploaded by the evaluation worker.
HIPAA requirements
Plan approved storage, access controls and handling procedures. Assess report metadata and applicable agreements before processing PHI.
ITAR requirements
Review personnel access, storage locations and controlled technical data, including any metadata leaving the environment.
BYOS is not compliance certification. Specialist deployment support is planned and requires review of the complete workflow.
WHEN AN AUDIT FAILS
Choose the next step.
Keep the review in-house.
Download findings and recommendations. Your engineers work under your own process and terms.
$0 extraGet a human perspective.
Quick Review $150 · Diagnostic $450 · Release Review $900. Defined scope and reviewer-hour limits; Release Review requires a candidate pair.
Requests availableCheckout not yet enabled. Release Review coming soon.Target the training gap.
A planned 5,000-image augmentation bundle for a supported failure profile, generated in your environment.
$250 / bundleComing soon. Requires suitable training data, fine-tuning and re-evaluation; improvement is not guaranteed.PLANS THAT GROW WITH YOUR TEAM
Start small.
Build with evidence.
Free Scan
$0
One model validation per calendar month.
- Up to 100 evaluation frames
- One included account seat
- COCO AP graph and findings
- Client-side worker evaluation
Pro Auditor
$250–$400/ month
Recurring validation for growing teams.
- Unlimited testing within workload limits
- Three included seats
- Hardware presets and PDF reports
- 25,000 augmented images / month
Subscriptions and listed paid features coming soon.
Enterprise
$1,500+/ month · annual billing
Contract-defined evaluation infrastructure.
- Team roles and contracted seats
- API access and custom environments
- Dedicated scheduling queues
- Specialist deployment scoping
Contracting and paid features coming soon.
Premium release verification: planned at $2,500 per release candidate. Scoped evidence does not replace regulatory assessment. Paid checkout is not yet enabled.
YOUR NEXT RELEASE STARTS HERE