Domain expert data · HVAC & field services

Your models are only as good
as the data behind them

Verox delivers verified, credentialed expert data for AI companies building in field services, HVAC diagnostics, and physical intelligence. Stop training on synthetic guesses.

Request a pilot See how it works →
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Pilots running with AI & robotics teams Q2 2026
Earning / session
$80–$120
app.groundloop.io/tasks
$600B
Market size
3.5M
Licensed techs
0
Competitors
98%
Expert rate
TASK-0041 · HVAC diagnostics
AC blowing warm air — 3-ton Carrier, 8 years old. Identify cause and first diagnostic step.
HVAC diagnostics +$4.20
Expert network verified
AI companies building in physical world domains
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Rebar AI
N
Netic
ST
ServiceTitan
E
Ecobee
C
Carrier
J
Jobber
T
Trane
HP
Housecall Pro
5–7 days
Avg pilot delivery
98%
Expert accuracy rate
3.5M
Licensed techs in network
$0
Competitors in this space
Why teams come to us

Your training data
has a credibility problem.

AI teams building in field services and physical diagnostics are hitting a wall. Web scrapes are exhausted. Synthetic pipelines cause model collapse. What you need is verified, domain-specific signal from people who've done the work — and that's exactly what doesn't exist anywhere else.

⚠
Synthetic data hits a ceiling
Pure synthetic pipelines cause model collapse and reasoning drift. Your model learns to sound right — not to be right. The gap shows up at inference time, in the field, where it matters most.
✗
No access to credentialed experts
Scale AI and Surge handle white-collar domains. Nobody has built a pipeline to licensed tradespeople — the engineers, technicians, and mechanics who understand physical systems firsthand.
✓
Verox is the missing layer
We connect your synthetic outputs to a network of verified, licensed domain experts who validate, correct, and enrich your data — so your model learns from people who've actually done the work.
How it works

From raw synthetic batch
to production-ready dataset

01
🏗
You upload your synthetic batch
Send us your model's outputs — diagnostic traces, reasoning chains, Q&A pairs. Any format. We handle the intake and task design.
02
👷
Credentialed experts validate
Licensed HVAC technicians rate accuracy, correct wrong reasoning, flag safety gaps, and write gold-standard responses — signal you can't get anywhere else.
03
📦
Verified dataset delivered in days
Human-anchored, provenance-tracked, ready for fine-tuning, RLHF, or DPO. Pilots delivered in 5–7 days. Scale from there.
See the quality

This is the signal your model is missing

Every response is reviewed by a licensed expert who flags wrong procedures, corrects reasoning errors, and scores accuracy — giving you training signal that synthetic data can never produce.

app.groundloop.io/tasks
Groundloop
expert review
TASK-0041 · HVAC diagnostics
A residential customer reports their AC is blowing warm air. The system is a 3-ton Carrier unit, 8 years old. What is the most likely cause and first diagnostic step?
HVAC diagnostics +$4.20
AI response
The most likely cause is a dirty air filter or low refrigerant. Begin by checking the thermostat settings, then inspect the air filter. If the filter is clean, the issue may be a refrigerant leak, which requires a standard pressure test at the service port.
Your correction
Accuracy score
1
2
3
4
5
Flag issues
wrong procedure
safety risk
missing steps
misleading
3 of 10 tasks
Who we work with

Built for teams pushing
AI into the physical world

AI labs & model teams
Fine-tuning on
physical domains
  • →RLHF and DPO preference pairs from licensed experts
  • →Chain-of-thought validation for diagnostic reasoning
  • →Edge case coverage your synthetic data misses
  • →Full annotation provenance for model cards and audits
Vertical AI startups
Domain-specific
model quality
  • →Credentialed expert feedback on your AI outputs
  • →Pilots in 5–7 days — scale when quality is proven
  • →No internal annotation team needed
  • →Faster iteration cycles on model accuracy
Robotics & automation
Ground truth for
physical intelligence
  • →Expert-labeled fault detection and repair scenarios
  • →Structured knowledge from experienced field techs
  • →Data that reflects how real systems actually fail
  • →Privacy-safe — no scraping, no legal exposure
The difference

We flipped
the data model.

Traditional annotation platforms use cheap generalist labor. Verox uses licensed, credentialed experts — people who've diagnosed real systems in the real world.

Without Verox
📝
Scrape web forums and manuals
↓
🤖
Generate synthetic training data
↓
❓
Hope it's accurate enough
↓
📉
Model underperforms in the field
With Verox
🏗
Submit synthetic batch
↓
👷
Licensed HVAC techs validate
↓
✓
Human-anchored dataset returned
↓
📈
Model accuracy improves

Ready to build AI
on real expertise?

Whether you're an AI company that needs better training data, or an HVAC tech who wants to earn from what you know.

Pilots scoped in 24 hours · First dataset delivered in 5–7 days