Labelix.ai is an independent company that builds dedicated, in-office teams to annotate AI training data, collect real-world data for robots, and evaluate robot models. Headquartered in Dubai, with its delivery team in Dhaka, Bangladesh.
A robot policy scored attempt by attempt, against one written standard.
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.
No Big-Tech parent, no conflicted incumbent. A pure-play partner with no agenda but your model's accuracy.
Your data is handled by a dedicated team under signed NDAs, within controlled environments — never farmed out.
Client-owned IP and outputs. We're an extension of your ML team, not a window into it.
Pixel-perfect work on the complex edge cases automated tools miss — across vision, 3D, language and documents.
Phase 1 focus — high-volume, high-precision annotation across four core verticals.
The difference between a managed in-office workforce and a crowdsourced platform is the difference between a partner and a liability.
We don't farm sensitive client data to anonymous workers. Annotation happens with dedicated teams, in controlled environments, under contractual protection.
Planned certifications as we scale. We'll publish each one only when independently audited and granted.
Work happens in monitored facilities — not on personal devices in coffee shops.
Vetted, trained, full-time personnel assigned to your project and bound by signed agreements.
Your data is accessed within a controlled environment, with contractual firewalls around it.
Every label and output belongs to you. We're a partner, never a competitor.
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 on your first call are the people who answer for your work. Daniel leads the company. Rashid leads your team in Dhaka.
CEO
For 15 years I've built companies from zero. Four of them: one I sold, and another grew to more than 1.5 million users. Each one taught me the same lesson: technology gets the attention, and people make it work.
Robotics is where that lesson matters most. Every robot learns from human hands, so I'm building the team behind them: the people who teach machines to work.
Founder
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.
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.
