Live review
Humans in your production loop, under 2 minutes, around the clock.
Low confidence predictions route to a trained reviewer who confirms or corrects them before they reach your users. Every correction comes back as training data.
What you get.
Prediction validation
Outputs checked against your acceptance criteria before they are used.
Low confidence routing
Predictions under your threshold escalated to a person in real time.
Correction and relabelling
Errors fixed and returned as labelled examples for retraining.
Three shifts
Weekends and public holidays covered, with documented handoffs.
Any integration
API, webhook, Slack, Label Studio or your own queue.
Audit trail
Every decision logged with reviewer, time and reason.
A sample of the work.
This is the interface our reviewers work in, or yours if you prefer. The data shown is illustrative.
How quality is held.
- Response times measured on every task
- Same schema and guidelines as your training data
- Weekly review calls on quality and edge cases
- Pricing unit
- Per task reviewed, or a dedicated shift
- Response
- Under 2 minutes, held for six months for Client A
Where we have done it.
A human verification layer for AI extracted fields on construction bills, invoices and site notes, running 24/7 until the model no longer needed it.
Live verification inside a production AI pipeline, under 2 minutes, for six months
Human in the loop support for visual deviation detection on production lines, with a response time requirement under two minutes.
24/7 live review for production line visual AI, quality above 95% by month two
Twelve times the volume in five weeks, with quality holding at 95 to 98%
Event detection and timestamps for automated college sports highlights.
Water polo events labelled straight after every match
Other stages
Tell us where your model needs a person behind it.
Send a small batch and get it back done, free, usually within 24 to 48 hours. You judge the work before you pay for anything.