Independent · Neutral · In-office

High-Precision Ground Truth Data for the World's Best AI Teams.

Labelix is an independent data annotation company: dedicated, managed teams for image, document, audio and video AI, with the security of an in-house team.

  • ◆Independent & Neutral
  • ◆Managed in-office teams
  • ◆Image · Document · Audio · Video
  • ◆Dubai HQ → Dhaka delivery
Why Labelix.ai · Why now

The independence your training data deserves.

The annotation industry is consolidating into the hands of the AI giants. When your labeling partner is owned by a competitor, your training data — and the roadmap it quietly reveals — no longer sits on neutral ground. Labelix.ai exists in that exact gap: independent, neutral, and accountable only to you.

01

Independent ownership

No Big-Tech parent, no conflicted incumbent. A pure-play partner with no agenda but your model's accuracy.

02

Contractual data firewalls

Your data is handled by a dedicated team under signed NDAs, within controlled environments — never farmed out.

03

Your ground truth stays yours

Client-owned IP and outputs. We're an extension of your ML team, not a window into it.

Capabilities

Every modality your model needs — labeled by people, not guesswork.

Pixel-perfect work on the complex edge cases automated tools miss — across vision, 3D, language and documents.

CV · 2D

Image & Video Annotation

  • 2D bounding boxes & polygons
  • Semantic & instance segmentation
  • Keypoints, landmarks & pose
  • Object tracking across frames
Docs · OCR

Document AI & OCR

  • OCR & transcription
  • Key-value & field extraction
  • Layout & table structure
  • Document classification & QA
Audio · Video

Audio, Speech & Video

  • Audio transcription
  • Speaker & diarization labeling
  • Event & sound tagging
  • Video object & action labeling
NLP · Text

Text & Language

  • Text classification & NER
  • Sentiment & intent labeling
  • Entity & relationship tagging
  • Content categorization & QA
The Workforce Model

An extension of your team — not a crowd of strangers.

The difference between a managed in-office workforce and a crowdsourced platform is the difference between a partner and a liability.

Managed · in-office · accountable

The Labelix.ai model

  • Dedicated, full-time specialists
  • Secure, access-controlled facilities
  • Vetted staff under signed NDAs
  • Data stays in a controlled environment
  • Consistent teams that learn your edge cases
  • A direct extension of your ML team
Anonymous · transient · unaccountable

The crowdsourced model

  • Anonymous, rotating gig workers
  • Sensitive data on personal laptops
  • Little vetting or accountability
  • Quality that swings task to task
  • No retained domain knowledge
  • Your data scattered across the globe
Security & Trust

Built like a company you'd trust with proprietary data.

We don't farm sensitive client data to anonymous workers. Annotation happens with dedicated teams, in controlled environments, under contractual protection.

On our compliance roadmap
⬡ ISO 27001⬡ SOC 2 Type II⬡ HIPAA (medical vertical)

Planned certifications as we scale. We'll publish each one only when independently audited and granted.

In-office, access-controlled

Work happens in monitored facilities — not on personal devices in coffee shops.

Dedicated teams under NDA

Vetted, trained, full-time personnel assigned to your project and bound by signed agreements.

Controlled data handling

Your data is accessed within a controlled environment, with contractual firewalls around it.

Client-owned IP

Every label and output belongs to you. We're a partner, never a competitor.

Where we're headed

Built for the hardest labels.

Our managed model is built to scale from today's high-volume image, document and audio work into deeper specialist annotation — sensor-fusion and 3D, and expert domains like medical — on a compliance-first roadmap, drawing on Bangladesh's deep STEM and medical-graduate talent.

The people behind Labelix.ai

Quality is personal here.

Not a platform with a support queue. A founder on the ground in Dhaka who owns your batches.

Rashid Arif, Co-Founder · Delivery (Dhaka)

Rashid Arif

Co-Founder · Delivery (Dhaka)

For 9 years I've brought brilliant people from Bangladesh to companies around the world. The deeper I went into AI, the clearer it became: models don't replace people, they run on them.

Labelix.ai is that team: specialists who learn your domain and your standards and make your models better. We're taking on our first partners now.

LinkedIn
Start with a pilot

Put a dedicated team on your hardest labels.

Send us a representative sample. We'll scope a pilot, label it to spec, and show you the quality difference a managed, in-office team makes.

support@labelix.ai