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Enterprise AI Deserves Enterprise-Grade Training Data

Your AI models are only as good as the data behind them. Centric Labs delivers precision data annotation, labeling, and AI training data services trusted by enterprises building production-grade AI systems. With 14 years of operational excellence and delivery infrastructure spanning the US, UAE, and Pakistan, we combine the rigor of global enterprise standards with the scale and cost efficiency your AI programs demand. Whether you are training foundation models, deploying computer vision systems, or fine-tuning LLMs with RLHF, Centric Labs provides the human intelligence layer that makes machine intelligence possible.

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Trusted by Enterprises. Recognized by Industry.
ISO 27001 aligned
Secure onsite teams
Multi-stage QA
US • UAE • Pakistan

AI Projects Fail When Training Data Falls Short

Eighty percent of enterprise AI initiatives stall not because of model architecture but because of data quality. Inconsistent annotations, misaligned labeling taxonomies, and lack of domain expertise create compounding errors that degrade model performance. Generic crowdsourcing platforms treat annotation as a commodity, leaving enterprises with noisy datasets that require costly rework. Centric Labs takes a fundamentally different approach. We embed domain-expert annotators, enforce multi-tier quality assurance, and operate within your security perimeter — delivering training data that accelerates your AI from prototype to production.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Full-Spectrum AI Data Services

From raw data to production-ready datasets, we cover every modality and methodology your AI team needs. Our services span image and video annotation for computer vision, text and NLP annotation for language models, audio transcription and annotation for speech AI, 3D point cloud and LiDAR labeling for autonomous systems, RLHF and human preference data for LLM alignment, and synthetic data generation for edge cases and rare scenarios. Every service is delivered through our managed annotation teams with embedded QA, domain expertise, and enterprise-grade security protocols.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Purpose-Built for Regulated, High-Stakes Industries

We serve the industries where data quality is not optional — it is mission-critical. Our teams hold domain expertise across autonomous vehicles and robotics, healthcare and medical imaging, financial services and insurance, defense and government, oil and gas and energy, and retail and e-commerce. Each vertical has dedicated annotation guidelines, compliance workflows, and specialist teams trained on industry-specific taxonomies.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Powering Sovereign AI Across the Middle East and Beyond

Centric Labs is purpose-built for the sovereign AI era. Nations across the MENA region are investing billions in domestic AI infrastructure, and they need data partners who understand data residency requirements, Arabic and multilingual annotation capabilities, air-gapped and on-premise deployment options, and government-grade security and compliance. With operations in Dubai and deep regional expertise, we are the annotation partner of choice for national AI programs, sovereign compute initiatives, and government digital transformation.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Technology-Augmented Human Intelligence

Our proprietary platform combines AI-assisted pre-labeling with human expert verification, reducing annotation time while maintaining accuracy above 98 percent. Features include model-assisted labeling with active learning, real-time quality dashboards and inter-annotator agreement tracking, API-first integration with your ML pipeline, secure annotation environments including air-gapped options, and multi-format export compatible with all major ML frameworks.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

What Makes Centric Labs Different

Unlike first-time founders chasing the annotation market, Centric Labs is backed by 14 years of enterprise operations across three continents. We offer a proven track record with Fortune 500 clients and government agencies, a dedicated workforce model rather than anonymous crowdsourcing, cross-continental delivery that combines US-based project management with cost-efficient execution, security-first architecture with SOC 2 and ISO 27001 aligned processes, and flexible engagement models from managed teams to full pipeline outsourcing. We are not a startup learning to operate. We are operators who built a startup.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Measurable Impact on Your AI Program

Enterprises that partner with Centric Labs see quantifiable improvements: up to 40 percent reduction in annotation cost compared to domestic-only providers, 98 percent or higher annotation accuracy with multi-tier QA, 60 percent faster project ramp-up with pre-trained domain teams, and zero data breaches across all client engagements. We measure success not by annotations delivered but by model performance improved.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

Results That Speak for Themselves

Featured case study summaries showcasing enterprise outcomes across industries. Highlight client testimonials from AI/ML leads, CTOs, and VP Engineering. Include specific metrics: volume of annotations, accuracy rates, time-to-delivery improvements, and cost savings. Feature logos of recognizable enterprise clients and industry certifications.

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What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria

FAQ

How do you ensure quality at scale
What security certifications do you hold
How does pricing work
What is your typical ramp-up time
Can you work within our existing tools and pipeline
Do you support air-gapped and on-premise deployments

Ready to Build Better AI? Start With Better Data.

Whether you are scaling an existing AI program or launching a new initiative, Centric Labs gives you the human intelligence infrastructure your models need. Request a free pilot project and experience our quality, speed, and security firsthand — with no commitment.

Request Free PilotSchedule a Call

What you get

  • Dedicated managed teams, no anonymous crowd
  • Multi-stage QA with measurable SLAs
  • Secure workflows designed for enterprise data
  • Fast pilots with clear success criteria
Core services

Data Annotation Services

Managed teams across image, video, text, audio, and 3D modalities.

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AI Training Data

LLM fine-tuning datasets, RLHF pipelines, and evaluation data.

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Sovereign AI

Data residency, deployment constraints, and audit-ready workflows.

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Popular use cases

Healthcare

Clinical text, imaging, claims and coding datasets with strict controls.

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Autonomous Vehicles

Video and sensor datasets for perception and safety systems.

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Secure Annotation

Onsite, monitored labeling for enterprise private data.

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Next step

Ready to validate quality and security in a pilot?

We will scope a small, measurable dataset, define acceptance criteria, and stand up a managed team fast.