How much do your AI training services typically cost?
Our pricing is transparent, highly competitive, and strictly based on the required domain expertise and data modality. For human annotation, we charge per-hour rates: LLM Math/Coding experts are $18/hr, STEM Generalists are $12/hr, and Image Editing is $8/hr. For specialized tasks like autonomous driving, we offer rates such as $3/km for road lane labeling. If you are utilizing our Abaka Forge platform independently, credits are just $0.20 USD each. We completely eliminate opaque pricing, ensuring your AI scaling budget is predictable.
How long does it take to deploy a custom data collection pipeline?
Speed is a massive advantage of partnering with our highly experienced AI training services company. We typically complete the comprehensive initial scoping, strict compliance alignment, and highly detailed annotation guideline creation within Days 0–3. By Weeks 1–2, we have fully integrated your custom data workflows directly into the secure Abaka Forge platform and completely onboarded the required specialized scholar-network annotators. Full-scale, high-velocity production generally commences by Week 3, effectively cutting standard industry data preprocessing and operational ramp-up times by an astonishing 70%.
What data modalities and output formats do you support?
Our highly unified Abaka Forge infrastructure seamlessly supports the entire spectrum of modern AI training data modalities. This expansive, native coverage securely includes complex multi-turn Text, highly detailed RLHF conversational pipelines, high-resolution Image and Video sequences, dense 3D/4D Point Clouds, advanced LiDAR + Camera multi-sensor fusion, and expansive global Audio dialects. We effortlessly export your meticulously labeled data into all standard, production-ready output formats—such as JSON, JSONL, Parquet, COCO, XML, CSV, and completely custom autonomous vehicle formats—integrating flawlessly with your existing ML engineering pipelines.
How do you guarantee high accuracy for complex AI evaluations?
Unlike standard platforms that rely on unvetted generalist crowds, we exclusively utilize a massive scholar-network of over one million vertically specialized annotators. For highly complex AI evaluations—such as advanced Lean4 mathematical proofs, defensive coding, or medical QAs—we strictly deploy active professionals from those exact fields. Combined with our dual-layered quality assurance process, which utilizes both human-in-the-loop expert review and automated Model-as-Judge benchmarking within Abaka Forge, we confidently guarantee a 99% accuracy rate across all customized AI training services.
What security and compliance frameworks govern your data services?
Absolute data security and uncompromising legal compliance are the foundational pillars of our daily operations. We rigorously operate under highly audited SOC 2 and ISO 27001 enterprise certifications, fully adhering to complex global privacy frameworks like GDPR and CCPA. Every single piece of collected or annotated data is securely processed through our heavily segregated, highly secure digital pipelines. We mandate strict, heavily enforced internal NDAs for all scholar-network annotators and provide absolute data provenance, firmly guaranteeing 0% copyright risk and ensuring your proprietary AI models remain legally uncompromised.
Can you provide AI training data in multiple languages?
Yes, we proudly operate a highly expansive, deeply integrated global footprint, actively managing specialized custom capture pods and deploying over one million thoroughly vetted annotators across more than 50 countries worldwide. This immense global reach allows us to effortlessly source, natively transcribe, and precisely culturally contextualize critical AI training data across hundreds of different complex languages and regional dialects. Whether your team is actively training highly nuanced multilingual text translation models, robust global chatbots, or diverse localized speech recognition systems, our expert linguists ensure perfect phonetic and semantic accuracy.
How does Abaka AI differ from other AI training services companies?
Our primary differentiator is absolute trust and financial independence. Founded in 2019, Abaka AI is proudly self-funded, profitable, and completely free from venture capital or acquisition pressure. Most importantly, we never build proprietary foundation models that secretly compete against our clients. We offer embedded domain expertise through our scholar-network rather than relying on untrained crowdsourcing, and our Abaka Forge platform delivers 50x faster processing. We are a dedicated partner committed exclusively to scaling your highly specialized frontier models securely.
How do you handle changes to annotation guidelines mid-project?
Frontier AI development is inherently highly dynamic, and we fully expect edge cases or architectural shifts to arise. Our agile operational structure easily accommodates rapid mid-project guideline iterations. We conduct comprehensive weekly quality reviews directly alongside your internal engineering team. If instructions need to pivot to address new model hallucinations, we dynamically push real-time updates through the Abaka Forge platform, instantly retraining our specialized annotator cohorts without significantly stalling your crucial project momentum or overall data delivery timelines.
Do you offer a pilot phase before full-scale production?
Absolutely. We consider a rigorous pilot phase to be a mandatory component of our comprehensive AI training services. During Weeks 2–3 of our onboarding process, we intentionally launch a highly focused calibration pilot utilizing a representative subset of your complex data. This critical phase allows us to thoroughly stress-test the established annotation guidelines, perfectly align our human-in-the-loop evaluations with your exact expectations, and successfully achieve the mandatory 99% accuracy baseline before we confidently ramp up to massive full-scale production.
Who owns the datasets created during the training process?
You maintain absolute, uncompromising ownership of all datasets, custom RL environments, and evaluated outputs generated during our partnership. Your highly proprietary training data remains exclusively yours—it is never secretly repurposed, quietly resold, or shared across our other enterprise accounts. Because we strictly guarantee 0% copyright risk and full IP provenance from the initial collection phase through final delivery, your legal and compliance teams can operate with total peace of mind while securing your foundation model's immense intellectual property value.
Do I have to use your annotators, or can I just use your platform?
Our specialized services are highly flexible. While most frontier AI labs completely leverage our expansive global scholar-network for complete, end-to-end managed data delivery, you can absolutely choose to license the proprietary Abaka Forge platform independently for your own internal ML engineering teams. Operating as a powerfully unified infrastructure for raw collection, deep cleaning, and complex multimodal annotation, Forge intelligently utilizes powerful large-model automation to drastically speed up processing times. Platform credits are exceptionally transparent and highly cost-effective, priced at a simple $0.20 USD each for your internal usage.
Is there a minimum project size or data volume required?
We proudly support a massive array of clients, ranging from highly agile, early-stage AI startups conducting initial model pilot tests to massive global enterprises requiring millions of specialized data points daily. While we heavily specialize in massive elastic scalability through our 1M+ global workforce, we easily structure flexible, customized engagements that perfectly align with your specific current operational volume. Whether you require a short, targeted red-teaming evaluation or a multi-year, highly complex RLHF pipeline, we seamlessly scale alongside your needs.