How much do your AI model training data services cost?
Our pricing is highly transparent and competitive, driven by the specific complexity and modality of the task. For specialized human annotations, LLM Math/Coding is $18/hr, STEM Generalist is $12/hr, Image Editing is $8/hr, and Dense Captioning is $6/hr. For custom capture requirements, we charge specific rates like $3/km for road lane annotation. Additionally, if you leverage our unified platform, credits on Abaka Forge are just $0.20 USD each, offering predictable, highly controllable costs that scale seamlessly alongside your frontier AI training needs.
How fast can you deliver custom training datasets?
We prioritize high velocity without sacrificing the meticulous quality frontier models demand. After completing thorough scoping and compliance checks in Days 0-3, we establish initial pipelines by Week 1-2. Because our proprietary large-model automation makes data processing up to 50x faster, we routinely help enterprise clients achieve a 70% preprocessing-time reduction. This allows us to return robust, highly accurate initial batches in just a few weeks, empowering your researchers to maintain their innovation velocity and deploy intelligent models to the market sooner.
What data modalities and output formats do you support?
We comprehensively support all major modalities, including Text, LLM RLHF, Image, Video, 3D/4D Point Cloud, LiDAR + Camera fusion, and Audio. Outputs can be dynamically delivered in industry-standard formats such as JSON, COCO, Parquet, ROS Bag, JSONL, and XML. This ensures our curated intelligence integrates flawlessly and directly into your existing machine learning workflows, reducing friction and accelerating the pipeline from initial data ingestion to final model evaluation.
How do you ensure data accuracy for frontier AI?
We maintain an uncompromising 99% accuracy standard through rigorous, proprietary multi-layer QA protocols. Rather than relying on unvetted generalist crowds, we exclusively utilize vertically specialized scholar networks—encompassing deep experts in math, coding, biological science, and law. Additionally, Abaka Forge implements advanced model-as-judge logic to pre-filter basic human errors and inconsistencies before final expert human review, ensuring pristine quality for your model alignment.
What security standards govern your data pipelines?
Security is foundational to our operations at every level. We maintain strict, audited compliance with SOC 2, ISO 27001, GDPR, and CCPA standards. All data workflows operate within completely segregated secure pipelines under strict non-disclosure agreements. Your proprietary data is thoroughly isolated, fully protected, and never exposed to public foundation models or unauthorized internal access, neutralizing potential breaches.
Do you offer multilingual dataset collection and annotation?
Yes, our highly curated workforce of over 1M+ specialized annotators spans 50+ countries, allowing us to support natively fluent, nuanced multilingual tasks. Whether you need Multilingual TTS generation, complex localized sentiment analysis, or highly specific cross-cultural translation alignments, we provide culturally accurate, natively sourced human intelligence that general automated translation tools consistently fail to match.
How does Abaka AI differ from other AI model training data companies?
Unlike traditional, venture-backed vendors, Abaka AI operates as a completely self-funded and profitable data partner. This critical distinction means we face zero VC pressure to pivot or build AI models that compete with you. We guarantee complete data exclusivity, full IP provenance with 0% copyright risk, and offer scholar-grade domain expertise that standard crowdsourcing platforms simply cannot deploy effectively for frontier models.
How do you handle changes to annotation guidelines mid-project?
Our dedicated project managers and the highly flexible Abaka Forge platform make guideline iterations entirely seamless. We execute continuous Weekly Review and Red Teaming sessions, which allow your team to update rubrics, adjust RL environment parameters, and modify edge-case handling instructions on the fly. This agility prevents disruption while maintaining our peak 500 file per day per annotator throughput standard.
Can we run a pilot before committing to large-scale data processing?
Absolutely. Our standard enterprise engagement model heavily emphasizes a tightly scoped pilot phase during Week 1-2. This essential step allows your team to directly evaluate our annotation quality, test the platform API integration, and ensure our STEM and domain experts precisely align with your model's unique architectural requirements before scaling up to high-volume continuous data delivery pipelines.
Who owns the intellectual property of the custom datasets?
You own 100% of the intellectual property. Your data is exclusively yours—it is never repurposed, resold, or shared to train any internal or third-party competing models. Furthermore, we provide fully traceable dataset sourcing with a strict 0% copyright risk guarantee, ensuring your enterprise maintains total legal, financial, and operational ownership of its frontier AI foundation without compromise.
Do we need to bring our own annotation tooling?
No, you do not need external or fragmented tools. We provide comprehensive access to the Abaka Forge platform, an all-in-one suite specifically designed for data collection, cleaning, annotation, training, and production. However, if you already rely on proprietary internal tooling, our flexible embedded talent can easily integrate and operate seamlessly within your native enterprise environment to maintain your established workflows.
Is there a minimum project size or volume requirement?
While we explicitly specialize in high-volume enterprise pipelines capable of massive scale, we engage highly flexibly. Whether your team requires a hyper-targeted, high-complexity batch of Lean4 math evaluations or continuous, multi-million data point ingestion over several years, we gracefully scale our elite global workforce and custom capture pods to fit exactly your specific project scope and current engineering demands.