How is pricing structured for your multimodal services?
Our multimodal services are priced transparently based on the specific modality and required expertise. For continuous data tasks, we utilize hourly rates, such as $18/hr for complex LLM Math/Coding, $12/hr for STEM Generalists, and $8/hr for precise Image Editing. For specific dataset acquisitions, we charge per unit—like high-quality Image+Text Pairs at $2.80 each, Stock Video at $0.10, or dense 3D Indoor Scenes at $100/scan. Autonomous driving annotations like road lane tracking are efficiently priced at $3/km. This varied structure guarantees you only pay for the exact multimodal data volume and specialized expertise your frontier models require.
What is the typical turnaround time for multimodal data projects?
We are built for speed and massive scale. Leveraging the Abaka Forge platform, we process complex data up to 50x faster than traditional manual methods. Initial scoping and modality alignment typically conclude within the first 3 days. By week two, our secure pipelines are fully operational and processing high volumes of text, video, and 3D data. We deliver completed, rigorously QA-checked batches on a strict, predictable weekly cadence. This rapid, highly structured turnaround prevents any internal data bottlenecks and reliably accelerates your overall model deployment schedule by critical weeks.
What modalities and output formats do you natively support?
Our multimodal capabilities comprehensively cover Text, LLM RLHF, Image, Video, 3D/4D Point Clouds, LiDAR+Camera fusion, and Audio. We expertly handle everything from interleaved image reasoning and spatial video tracking to advanced multi-turn dialogue. We seamlessly export these precisely annotated datasets into standard, model-ready formats including JSON, JSONL, Parquet, COCO, YOLO, specialized 3D PCD files, and ROS bags. This extensive format coverage guarantees that our pristine data perfectly integrates into your specific model training environment without requiring any additional, time-consuming downstream engineering work.
How do you ensure high accuracy across complex interleaved datasets?
Maintaining quality across interleaved modalities demands profound expertise. We completely bypass generalist crowdsourcing, instead utilizing a highly vetted global network of 1M+ vertically specialized professionals, including STEM generalists and domain scholars. Combined with Abaka Forge’s automated pre-labeling, our multi-layer QA loops meticulously cross-verify complex text, video, and spatial data. We consistently guarantee a 99% accuracy rate, even on the most intricate multimodal RLHF and dense evaluation tasks. This rigorous human-in-the-loop methodology directly prevents model hallucinations and ensures deeply reliable physical-world alignment.
What security frameworks govern your multimodal data pipelines?
Protecting your highly proprietary multimodal training data is our absolute highest priority. All Abaka AI operations are strictly governed by SOC 2 and ISO 27001 certifications. We maintain full compliance with GDPR and CCPA regulations to protect user privacy. All text, audio, and visual data is processed within fully segregated, secure pipelines guarded by ironclad NDAs. Furthermore, we scrub all Personally Identifiable Information (PII) before any annotation begins, completely mitigating legal risks and ensuring your enterprise data remains comprehensively shielded from all external vulnerabilities.
Can you handle multilingual text and audio data?
Yes, our global reach extends across more than 50 countries, allowing us to source and expertly annotate native multilingual data. We natively support highly accurate audio-to-text transcriptions, sentiment analysis, and multi-turn conversational text in over 50 distinct global languages. Whether you require complex multilingual TTS generation (priced at $7/hr) or nuanced cultural alignment for international foundation models, our localized domain experts ensure your multimodal AI comprehensively understands and reliably interacts with a truly diverse, global user base.
How does Abaka AI differ from other data annotation vendors?
Unlike traditional data labeling companies that rely entirely on untrained crowds, Abaka AI functions as a trustworthy data partner specifically designed for frontier AI. Founded in 2019 and completely self-funded, we operate without volatile VC pressure. We strictly guarantee that we will never build foundational models that compete with yours. Our combination of scholar-grade domain expertise, the massive 50x acceleration of Abaka Forge, and our uncompromising zero percent copyright risk policy uniquely positions us to handle the complex rigors of sophisticated multimodal AI development.
How do you manage changes to multimodal annotation guidelines?
Frontier AI development is inherently iterative, and we fully expect annotation parameters to evolve. Our dedicated project managers maintain open, continuous communication channels with your AI engineering team. When guidelines for a specific modality shift—such as adjusting bounding box criteria or altering RLHF reward signals—we instantly update our internal documentation. We rapidly re-calibrate our specialized annotators and seamlessly push the new parameters through the Abaka Forge platform. This agile methodology ensures smooth pivots without derailing your established weekly delivery cadence or inflating costs.
Do you offer a pilot program for complex multimodal tasks?
Absolutely. We actively encourage starting complex, multi-modality projects with a comprehensive pilot phase. During this crucial initial period, we process a representative sample of your varied text, video, or 3D data. This allows your engineering team to directly evaluate our 99% accuracy rate and verify our precise formatting outputs. The pilot phase successfully calibrates our scholar-network annotators to your exact edge cases and fine-tunes the Abaka Forge automation, guaranteeing that full-scale production launches smoothly and completely aligned with your model's unique training objectives.
Who owns the multimodal data and annotations you provide?
Your enterprise retains absolute, 100% exclusive ownership of all multimodal data and annotations we generate or process on your behalf. We strictly enforce a policy where your proprietary datasets are never repurposed, resold, or utilized to train any external models. Furthermore, when we execute custom 360° real-world capture, we provide exhaustive IP provenance documentation, guaranteeing zero percent copyright risk. You can confidently train your foundational AI knowing your critical intellectual property is completely secure and fully protected from external exploitation.
Do we need to provide our own annotation tools?
No external tools are required. We leverage our proprietary Abaka Forge platform, an all-in-one ecosystem explicitly engineered to seamlessly manage collection, cleaning, annotation, training, and production. Abaka Forge natively supports every major data type, from complex 3D/4D point clouds and high-resolution video to intricate RLHF text interfaces. While we can securely integrate with your internal systems if requested, utilizing Abaka Forge guarantees maximum workflow efficiency, unlocking our 50x faster large-model automation and ensuring the rapid delivery of perfectly aligned multimodal data.
Is there a minimum project size for your multimodal services?
We purposefully maintain a highly elastic infrastructure designed to seamlessly accommodate diverse project scales. While we routinely process massive, petabyte-scale continuous workflows for Tier-1 autonomous driving and frontier model labs, we also heavily support highly targeted, smaller-scale multimodal evaluations and custom data collections. Our transparent, predictable pricing model—such as $0.20 per Abaka Forge credit or $8/eval for rigorous Red Teaming—ensures you only pay for exactly what you consume. We are fully equipped to rapidly scale our specialized resources precisely as your foundational model evolves.
