SERVICES / ROBOTICS DATA EVALUATION
Partner with Kalanos for dataset audits, custom evaluations, and in-house quality workflows built around your team’s goals.
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ENGAGEMENTS
A FOCUSED FIRST ENGAGEMENT
Dataset Quality Audit
Understand the technical findings in your dataset and where to investigate first.
Deliverables: agreed evaluation scope; episode-level findings and coverage summary; prioritized recommendations; findings walkthrough with your team.
BUILT AROUND YOUR REQUIREMENTS
Custom Evaluation & Auditing
Define checks around your recording setup, data format, and acceptance criteria.
Deliverables: custom checks or format adapters; documented thresholds; validation against agreed examples; reusable evaluation configuration.
A WORKFLOW YOUR TEAM OWNS
In-House Setup & Integration
Make recurring dataset checks part of your team’s existing workflow.
Deliverables: local deployment and pipeline integration; reporting setup; operational runbook; team training and handover.
SUPPORT AS YOUR DATASET GROWS
Ongoing Quality Reviews
Review new collection batches and investigate recurring findings as your dataset grows.
Deliverables: scheduled assessments; comparisons under consistent evaluation settings; issue tracking; recurring review sessions.
HOW WE WORK
01
Scope the dataset
Agree formats, size, access, and the decision you need to make.
02
Agree the checks
Define evaluation coverage and acceptance criteria.
03
Review the findings
Walk through the evidence and prioritize investigation.
04
Establish recurring checks
Document a process your team can run again.
WHERE TO START
Before scaling collection
Review an initial batch to guide the next stage of your recording campaign.
Before accepting a delivery
Assess a supplier’s dataset against agreed technical acceptance criteria.
Before the next training run
Review technical findings before committing further training resources.
Build the business case with a scoped pilot.
Agree a baseline for review hours per batch, time to a review decision, and time to identify recording issues. Compare results using the same scope and evaluation settings.
QUESTIONS
What does Kalanos evaluate today?
Supported numeric robotics-data checks include missing values, stuck signals, noise, spikes, and timing issues where supported. Coverage depends on the data and evaluation profile. Image/video quality, task success, and model performance are outside the current standard assessment.
Can you work with private data?
The open-source tool can run locally. For a services engagement, we agree data access and deployment requirements before evaluation begins.
Does an anomaly mean a dataset is unusable?
No. A finding needs to be interpreted in the context of the data and its intended use. Review the evidence before deciding what to retain, investigate, or exclude.
How are scope and pricing determined?
We scope each engagement around dataset formats, size, evaluation requirements, integration needs, and deliverables. Request a scoped proposal for your project.
LET’S TALK
Tell us about your dataset, recording setup, and what your team needs to decide. We’ll discuss the scope and a practical next step.