Vernacore
Operations & Data

Trained people running your operations and data

Data annotation, language and text work, and back-office operations. Run by a supervised floor in Chennai, as dedicated seats or project batches.

20–30
seats available now
100
seats planned at full ramp
2
seat minimum to start
Weekly
throughput + rework reported

A room of people you can hold to account

Crowd platforms are cheaper per unit. They are also anonymous, unsupervised and impossible to audit. Here is what an office buys you instead.

Supervised, not crowdsourced

The same named people work your process every day and get better at it. A floor supervisor checks output before it leaves the building.

Secured premises

Work happens on our machines in our office. No client data on personal phones, no files leaving with a gig worker.

One accountable vendor

One contract, one GST invoice, and one person who answers the phone when something's wrong, instead of a platform support queue.

Measured, and shown to you

Throughput, utilisation and rework rate, tracked per batch and reported, so quality shows up in the numbers before the output.

What happens between your queue and your inbox

Five steps and one loop. The loop is the part worth looking at.

  1. 01

    Intake

    Scoped, split into countable units, checked against your spec.

  2. 02

    Assign

    Named people, not an anonymous pool. Every seat has a backup.

  3. 03

    Work

    Your tools and SOPs, on our machines, on our premises.

  4. 04

    QC sample

    Checked against your gold set before anything is delivered.

    fails go back to Work

  5. 05

    Deliver

    Batch out, and the day's numbers written down.

Anything that fails the sample returns to the seat that produced it, and the rework is counted. That loop is the step a crowd platform does at arm's length, if at all: a scoring algorithm rather than a person who knows your spec and can be asked why.

Send us one batch and see

A bounded first job, priced at production rates, returned in five working days with our own error count. Stop after it if it isn't right.