AI training data · Content · Video

Quality-checked data, content and video,delivered without the rework.

Evaryn pairs trained specialists with a built-in two-stage review, so every LiDAR label, egocentric clip, article and edit reaches you consistent, checked and ready to use.

  • Peer review and QA on every deliverable
  • Based in Nairobi, serving clients worldwide
  • Start with a small pilot batch
2independent quality checks on every deliverable
5clear stages from brief to delivery
Pilot-firstjudge our quality on a small batch before you scale
1 teamassigned to your project, with direct revisions

What we do

Three service lines, one quality standard

Whatever you are building, the process behind it is the same: trained specialists, independent review, final QA.

AI Training & Data

The labeled and collected data that makes models perform, produced to your spec and quality-checked twice.

Content Writing

Original writing for marketing, research and product documentation, edited and reviewed before delivery.

Video Editing

Post-production that keeps your brand consistent across every cut.

AI training data

The data layer for robotics, autonomous systems and smart devices

Perception and embodied-AI models need labeled 3D scenes and real first-person footage. Both are hard to get right: inconsistent labels, missing consent and unscreened clips cost you months of retraining. We run the whole pipeline with quality built in.

  • LiDAR annotation: 3D cuboids, segmentation, tracking and sensor-fusion labeling
  • Egocentric video collection: scripted first-person capture with consent and privacy screening
  • Data annotation: image, video, text and RLHF preference labeling

Why Evaryn

Built so quality does not depend on luck

Most delivery problems come from process, not people. Ours is designed to catch problems before you ever see them.

Two independent quality gates

Every deliverable is peer-reviewed and then passed through a final QA check. Nothing reaches you unchecked.

Specialists matched to the work

Projects go only to team members approved for that category, not to a general pool.

Revisions handled directly

Your feedback goes straight back to the person who did the work, so fixes are fast and the lesson sticks.

Deadlines tracked, not hoped for

Every order carries a deadline at each stage, with reminders built in so delays surface early.

Original, verified work

We check for originality, including inappropriate AI-generated text, before anything is delivered.

Accountable teams

Structured feedback and performance ratings decide who gets the next piece of work, so quality compounds.

How it works

From brief to delivery in five clear steps

  1. Brief

    You tell us the goal, volume and deadline.

  2. Match

    We assign specialists approved for your category.

  3. Create

    The team produces the work to your guidelines.

  4. Review

    A second specialist checks and returns anything weak.

  5. QA and delivery

    A final quality gate signs off before you receive it.

Start small. Judge us on your own data.

Send a representative sample of your data or brief. We will scope a pilot batch so you can see our quality, our communication and our turnaround before you commit volume.

Ask about a pilot

Building the managed workforce behind AI data.

Evaryn runs on its own workforce platform: task marketplace, multi-stage review, performance-based pay and a full audit trail. We are building it to scale, and we welcome conversations with investors and strategic partners.

For investors

Tell us what you are building.

Share your requirements and a sample if you have one. You will get a clear scope, a proposed pilot and a quote, with no obligation.