We build and manage dedicated annotation teams — image, text, audio, video — that produce training data your model can actually learn from consistently.

We've run annotation projects for AI teams long enough to know where they tend to go wrong. Not in the model. In the data — inconsistent labeling guidelines, teams that turn over mid-project, quality checks that happen at the end instead of throughout.

We work differently. Dedicated teams of 3 to 10 annotators, assigned specifically to your project. Clear quality checks built into the workflow, not bolted on at the end. ISO 27001 certified — which matters more than most clients realize until they're handling sensitive training data at scale.

Most teams are operational within 72 hours of scope agreement. If you have data sitting in a pipeline waiting on annotation, that's usually where we start.

What happened when annotation quality was the actual problem

FinTech company — AI-powered claims processing

The model was making errors that nobody could explain. The development team assumed it was a model problem — spent weeks on architecture changes that didn't move the needle. When we looked at the training data, the annotation was inconsistent in ways that only appeared in specific edge cases. Different annotators had been interpreting the same guideline differently.

We rebuilt the labeling workflow, standardized the guidelines, added human validation checkpoints at the edge cases that were causing failures, and had a corrected pipeline running within 72 hours of starting.

Result

Annotation inconsistencies eliminated. Production errors that had been costing roughly $150,000 annually stopped occurring within 72 hours of the corrected pipeline going live.

Talk to us about your project

Full case study available on request

Industries

Data annotation requirements are not the same across industries. Healthcare annotation needs to account for HIPAA. FinTech annotation has to handle edge cases a generalist annotator will miss. eCommerce catalog annotation needs to match how real shoppers actually search. We've worked in enough of these contexts to know that industry-specific quality matters — and to staff accordingly. These industries appear here because clients brought us their annotation problems — not because we decided to market to them.

administration service

Administration

FinTech

FinTech & FinServ

data service

Data/Information Services

eCommerce Industry

eCommerce & Retail

Healthcare

Healthcare

Some of Our Clients

Data types we work with

TRANSFORM Solutions handles mission-critical operations 24/7 for some of the fastest-growing companies around the globe:

Image annotation

Bounding boxes, polygon segmentation, semantic segmentation, object detection, image classification.

Text annotation

Named entity recognition, sentiment labeling, intent classification, document categorization, NLP training datasets.

Audio annotation

Speech transcription, speaker identification, emotion tagging, noise classification.

Video annotation

Frame-by-frame labeling, object tracking, action recognition, scene understanding.

Document annotation

Form extraction, table recognition, invoice processing, contract clause tagging.

If you're currently dealing with annotation quality issues

We can usually tell within one conversation whether the workflow is fixable — and what a realistic team looks like. No slide deck, no long discovery process.

Talk to us about your project

Takes about 30 minutes. No brief required.

Where we fit — and where we don't

If you need a million images labeled in three weeks, Scale AI or Appen are probably the right answer. They have the crowd infrastructure to do that. We don't, and we won't pretend otherwise.

Where we're the better option is the situation most AI teams are actually in: a project that needs consistent quality, a team that can learn the use case and apply judgment, and someone accountable when something goes wrong. That's harder to get from a platform that routes your data through thousands of freelancers.

We work well for:

administration service

AI teams whose models are in development or fine-tuning and need labeled data that's consistent, not just fast

administration service

Companies where training data touches sensitive information — medical, financial, legal — and ISO 27001 certification is a requirement, not a nice-to-have

administration service

Projects that run for months, not weeks, where team continuity and accumulated knowledge of your guidelines actually matters

administration service

Teams that have tried crowd-based annotation and found the quality inconsistency more expensive than the cost saving

Case Studies

TRANSFORM Solutions handles mission-critical operations 24/7 for some of the fastest-growing companies around the globe:

Business professionals reviewing case studies and success stories with data insights
eCommerce Catalog Operations

AI-Driven eCommerce Catalog Operations

AI catalog ops helped a multichannel furniture retailer scale faster with accuracy and control

View case study
Business professionals reviewing case studies and success stories with data insights
EdTech and AI Technology

EdTech and AI Technology

Delivered 1M Human verified LLM training tasks in 30 days with 99 percent quality.

View case study
Business professionals reviewing case studies and success stories with data insights
Human in the Loop

eCommerce Technology Platform

Human oversight reduced AI catalog errors at scale.

View case study
View all case studies

If your annotation pipeline is slowing your AI project down — that's usually a solvable problem.

Tell us about your project — data type, approximate volume, timeline, and any quality or compliance requirements. We'll tell you honestly whether it's something we're set up to handle well, and what a team would look like.

Talk to us about your annotation project

Most annotation engagements start within a week of that first conversation.