EXPERT NETWORK
A global network of over 200,000 expert knowledge contributors across 35+ countries and 45+ languages.
Access domain-specific expertise—from PhD-level mathematics to DeFi specialists and creative content contributors.
MULTIMODAL
Comprehensive Modality Coverage
Text
RLHF, multimodal prompt generation, bias detection, content moderation, classification.
Image & Video
Multimedia classification, image and video collection, video description.
Audio
Text-to-speech, multilingual audio collection, transcription, audio analysis.
TALENT MATCHING
Automatic Task Assignment Optimized for Accuracy
5-tier skill-calibrated based on historical accuracy.
Dedicated groups for different task types.
Pre-vetted groups in different specialties from blockchain protocols to finance terminology.
PRICING
Pay only for what you use with transparent per-data-point pricing with no hidden fees and no post-launch cost spikes.
Maintain predictable budgeting today while positioning to capture upside from your data’s evolving commercial potential.
RESULTS
Enterprise-grade QA systems, tiered contributor calibration, and real-time oversight deliver consistent results—achieving over 90% accuracy across millions of annotations.
WORKFLOW
Every project is different. Some tasks are best handled by automation, others need human expertise. Sahara AI combines both—using AI for speed and experts for complex cases—so you get high-quality data at scale without losing accuracy or context.
timeline
Our team of experts work with you to ensure total clarity, predictability, and control every step of the way:
01
Requirement Definition
You outline data type, modality, quality thresholds, and delivery format.We assist in refining scope, success metrics, and timelines.
02
Pipeline Design
We decompose requirements into micro-tasks.Select data annotation tiers and QA layers.
03
Pilot Phase (POC)
Run to validate workflow, accuracy, and turnaround time.Costs and projected timelines finalized post-pilot.
04
Full Execution
Global annotator base activated.Real-time monitoring and QAMid-project optimization based on observed patterns.
05
Delivery & Handoff
Data delivered in your required format (CSV, JSON, XML, etc.).Optional custom integration into your internal or cloud storage.End-of-project QA report and recommendations for the next phase.
02
Case Studies
Conversational Data Collection
Conversational role-play data between US native college students, encompassing both natural language and multimedia.
03
testimonials
What Our Customers Say
“No other data labeling companies were willing to take on this project due to the significant operational workload, the need for daily monitoring, the complexity of participant selection, and the extended timeline… Sahara successfully managed these challenges… Using [Sahara AI] we are able to design better LLM dialogue agents as well as create better and more realistic synthetic conversational datasets.”
Snapchat inc.
“Our project posed significant challenges for other data labeling providers… as it required a deep understanding of complex instructions, rigorous testing of potential annotators, and meticulous labeling involving logical reasoning. Sahara’s team took a professional and targeted approach that resulted in exceptional data quality, even on complex, abstract tasks.”
Microsoft Research
“No one was able to deliver the required quality at large volumes with the price constraints. The rejection rate of samples was extremely high, over 50% in some batches… Working with Sahara AI reduced our rejection rates, streamlined the review process, and allowed us to achieve significant cost and time efficiencies… We appreciate Sahara AI's professionalism and ability to deliver under challenging conditions.”
MIT
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