How much do your managed data annotation services cost?
Our pricing is transparent, highly competitive, and strictly based on the complexity and domain expertise required for your specific tasks. Because we replace your expensive internal management overhead with efficient operational structures, we provide exceptional value. For instance, our expert LLM Math and Coding annotation is just $18/hr, while STEM Generalist tasks are $12/hr. For computer vision, Dense Captioning runs $6/hr, Image Editing is $8/hr, and complex Road Lane labeling is priced at $3/km. We ensure you only pay for the precise human intelligence you need, scaling elastically without any hidden platform fees.
What is the typical turnaround time for a managed annotation project?
Turnaround times are significantly accelerated thanks to our massive, elastically scalable global workforce. Following a brief consultation and a one- to two-week pilot phase for custom tooling and guideline calibration, we transition immediately into high-volume production. Because our specialized annotators can each process up to 500 files per day, and Abaka Forge's large-model automation increases efficiency by 50x, we can easily digest massive backlogs. Projects that typically take internal teams three to six months are routinely completed by our managed data annotation services in a matter of weeks, keeping your AI roadmap strictly on schedule.
Which modalities and data formats do you support?
Our managed data annotation services natively support every major AI modality required for frontier model development. This comprehensive coverage includes Text, LLM RLHF, Image, Video, Audio, 3D/4D Point Clouds, and LiDAR plus Camera fusion. Using the proprietary Abaka Forge platform, we process these complex inputs and deliver the ground-truth data in standard, production-ready output formats tailored to your infrastructure. Whether you need JSON and Parquet for language models, COCO and YOLO for computer vision, or custom ROS Bag formats for autonomous driving, our engineering team ensures seamless, immediate data integration.
How do you guarantee 99% accuracy across complex datasets?
Maintaining pristine ground-truth quality is the absolute core of our managed data annotation services. We strictly reject generic crowdsourcing in favor of a specialized scholar-network, deploying over one million verified domain experts across fifty-plus countries. When you need complex Lean4 math or defensive coding, the task is handled exclusively by an advanced degree holder in that specific field. Furthermore, we enforce a rigorous multi-layer quality assurance protocol where senior reviewers audit the outputs. This powerful combination of perfectly matched domain expertise and structured QA ensures we consistently hit our stringent 99% accuracy guarantee.
Are your annotation pipelines secure and compliant?
Absolutely. We recognize that data security is the paramount concern for enterprise AI. Our infrastructure is fully SOC 2 and ISO 27001 certified, and we strictly adhere to GDPR and CCPA regulations. To completely eliminate compliance friction, we operate segregated, highly secure data pipelines on the Abaka Forge platform, ensuring your proprietary information is never co-mingled. Furthermore, we enforce strict Non-Disclosure Agreements with every annotator. This comprehensive security framework guarantees complete data confidentiality, full IP provenance, and 0% copyright risk when utilizing our managed data annotation services.
Can you provide multilingual annotation for global AI deployments?
Yes, our managed data annotation services are inherently global. We manage a vast network of annotators located across more than fifty countries, providing native-level fluency in dozens of languages and regional dialects. This extensive geographic reach allows us to deliver highly accurate multilingual translation, culturally nuanced RLHF instruction following, and precise audio transcription. By leveraging local domain experts rather than automated translation tools, we ensure your foundational language models and voice assistants capture the subtle cadences and contextual realities necessary for truly effective, globally aware AI deployments.
How do your managed services differ from standard crowdsourcing competitors?
Traditional crowdsourcing platforms simply provide you with raw, unmanaged labor, forcing your expensive engineering teams to build the tools, manage the workers, and handle all the QA. In contrast, Abaka AI delivers fully managed data annotation services. We handle the entire operational burden—from onboarding and training scholar-grade experts to maintaining the secure infrastructure and enforcing multi-layer quality control. Moreover, we are a self-funded, trustworthy partner; we never build foundational models that compete with you, and your proprietary data is never resold or shared, ensuring total alignment with your enterprise goals.
How do you handle changes to annotation guidelines mid-project?
We expect guidelines to evolve as your frontier AI models mature and encounter unpredictable edge cases. Our managed data annotation services are engineered for supreme agility. Through our weekly strategy alignment meetings, your dedicated project manager will review your new requirements and rapidly update the protocols within the Abaka Forge platform. We quickly recalibrate our domain experts via targeted retraining sprints without halting overall production. This elastic flexibility ensures that our human intelligence continuously adapts to your shifting model architecture, maintaining the highest quality standards regardless of project pivots.
Do you offer a pilot program before full-scale engagement?
Yes, a rigorous pilot phase is a mandatory component of our standardized 'How It Works' workflow. During weeks one and two of our engagement, we configure custom tooling and process a representative sample of your complex data. This pilot allows us to calibrate our scholar-network annotators, refine the specific guidelines, and definitively prove our ability to meet your 99% accuracy threshold. Only after you have fully validated the quality, throughput, and security of this initial batch do we deploy our managed data annotation services at massive, full-production scale.
Who owns the intellectual property of the annotated data?
You retain 100% ownership of all intellectual property. Abaka AI acts strictly as a trustworthy data partner for your frontier AI development. When you utilize our managed data annotation services or custom data collection pods, we guarantee complete IP provenance and 0% copyright risk. Your customized datasets, proprietary guidelines, and final ground-truth annotations are exclusively yours. We never repurpose, resell, or share your data across other client accounts, ensuring your foundational models confidently maintain their unique competitive advantage without any risk of intellectual property leakage or cross-contamination.
Do I need to provide the annotation software?
No, you do not need to supply or build any tooling. Our managed data annotation services are powered entirely by Abaka Forge, our proprietary, all-in-one platform designed specifically for collection, cleaning, annotation, and model evaluation. Abaka Forge seamlessly handles every data type—from complex 3D point clouds to dense RLHF text—and utilizes large-model automation to consistently increase processing speeds by up to 50x. By leveraging our established, highly secure infrastructure, you completely eliminate the massive engineering overhead required to build and maintain internal labeling software, allowing immediate project kickoff.
Is there a minimum project size for your managed services?
While we are fully equipped to handle massive, multi-million file enterprise deployments, we also understand that specialized AI research requires targeted, highly accurate data. We structure our managed data annotation services to offer true elastic scalability, making us an ideal partner for both extensive foundational model training and more focused, niche algorithm development. Whether you require a dedicated long-term remote team or a specialized, project-based engagement for complex red-teaming evaluations, we can rapidly tailor our scholar-grade workforce to precisely match your specific data volume requirements and budgetary constraints.
