How is pricing structured for GDPval-AA v2 model evaluation?
We offer transparent, highly competitive pricing tailored to the complexity of the evaluation task. For foundational assessments, we charge per-evaluation based on the domain expertise required. For example, Red Teaming is priced at $8/eval, Creative Writing evaluation at $6/eval, Math Capabilities at $12/eval, and Defensive Coding at $15/eval. If your evaluation demands extensive hourly reviews by specialized professionals, our rates scale accordingly—such as $18/hr for complex LLM Math and Coding tasks, or $12/hr for STEM Generalists. We ensure you only pay for the exact level of human intelligence your benchmark requires.
What is the typical turnaround time for a full benchmark run?
Turnaround times vary based on the volume of tasks and the required domain expertise, but our elastic workforce is designed for speed. A comprehensive evaluation of the GDPval-AA v2 dataset across all 44 occupations can typically be completed in just 2 to 3 weeks. We cap our annotators at a maximum throughput of 500 files per day to maintain strict quality standards, but our massive network of over one million specialists allows us to run thousands of tasks concurrently, eliminating the volume walls that traditionally stall model release cycles.
Which modalities and output formats can your team evaluate?
We provide comprehensive 360° evaluation coverage across all major AI modalities, including Text, Image, Video, Audio, and 3D/4D Point Clouds. For the GDPval-AA v2 benchmark specifically, our domain experts are highly trained to audit complex, multi-format knowledge-work deliverables. This includes parsing lengthy Microsoft Word documents, evaluating complex multi-tab financial spreadsheets, reviewing presentation slides, and analyzing intricate architectural diagrams or executable bash scripts. Using the Abaka Forge platform, we ensure that your foundation model’s diverse outputs are evaluated natively within their intended professional context, guaranteeing a highly accurate assessment of true enterprise utility.
How do you guarantee accuracy in your human evaluation scoring?
We guarantee a 99% accuracy rate by exclusively utilizing scholar-grade reviewers who are perfectly matched to the specific evaluation task. Instead of relying on generic crowdsourced labor, we deploy actual industry professionals—such as lawyers, scientists, and financial analysts—to conduct the blind pairwise comparisons. Our multi-layer QA process, integrated deeply into the Abaka Forge platform, cross-references evaluator judgments and continuously monitors performance. By combining deep domain expertise with rigorous quality assurance protocols, we ensure that your model's internal Elo ratings reflect objective, highly precise capability measurements.
How do you secure unreleased models and proprietary data?
Security is foundational to our operations. Abaka AI maintains strict compliance with SOC 2, ISO 27001, GDPR, and CCPA standards. When evaluating unreleased foundation models, we utilize completely segregated secure pipelines to isolate your proprietary weights, prompts, and evaluation data. All of our domain experts operate under strict, legally binding NDAs, and we provide full IP provenance with 0% copyright risk on all supplementary data. You can benchmark your models with complete confidence, knowing that your intellectual property is shielded from any unauthorized access or contamination.
Can you evaluate models on multilingual business tasks?
Yes, our evaluation workforce is truly global, spanning over 50 countries. We offer comprehensive multilingual evaluation to test your models on international business workflows. Whether your AI agent needs to generate legal contracts in French, summarize medical reports in Japanese, or optimize supply chain logistics in Spanish, we have the localized domain experts ready to score the outputs. We precisely evaluate the cultural nuance, translation accuracy, and formatting compliance of the deliverables, ensuring your foundation models are fully prepared for global enterprise deployment.
Why should we use Abaka AI instead of automated LLM-as-a-judge?
While automated LLM-as-a-judge systems are fast (GDPval-AA v2 itself uses a three-judge LLM panel), they can carry biases and misjudge highly complex, multi-step agentic workflows. Automated judges often struggle to evaluate nuanced formatting constraints in spreadsheets or subtle logical flaws in legal memos. By utilizing Abaka AI’s independent, blind pairwise comparison framework with actual human domain experts, you capture the subtle nuances of real-world economic utility that automation misses. Our expert human evaluation provides the ground-truth accuracy required to establish trustworthy Elo ratings, minimizing the risk of deploying flawed models.
How do you handle modifications or change requests mid-evaluation?
We operate with a highly flexible, iterative approach. If your research team needs to update the evaluation rubric, adjust the tool-calling parameters, or modify the test prompts midway through a benchmark run, our project managers implement the changes rapidly. Through the Abaka Forge platform, we can instantly update instructions for our domain experts and route new tasks without disrupting the overall evaluation timeline. This elastic adaptability ensures that our benchmarking process stays perfectly aligned with your fast-moving foundation model development cycles.
Do you offer a pilot phase before we commit to full benchmarking?
Absolutely. We strongly recommend starting with a pilot phase, particularly for complex benchmarks like GDPval-AA v2. During the pilot, we dedicate a small, curated team of industry professionals to score a subset of your model's agentic deliverables. This initial run allows us to calibrate the evaluation matrix, refine the blind pairwise comparison methodology, and demonstrate the rigorous quality of our human reviewers. Once you are completely satisfied with the accuracy and precision of the pilot results, we seamlessly scale up to handle the full evaluation volume.
Who retains ownership of the evaluation data and scoring logs?
You retain exclusive 100% ownership of all evaluation data, scoring logs, and associated metadata. Unlike competitors who might use your benchmarking results to train their own systems, Abaka AI never builds models that compete with our clients. Your proprietary data is never repurposed, resold, or shared with third parties. We are a self-funded, profitable partner with no venture capital pressure, ensuring that our only incentive is to provide you with secure, highly accurate human intelligence while rigorously protecting your intellectual property.
What tooling do you use to manage complex knowledge-work evaluation?
We utilize our proprietary Abaka Forge platform, an all-in-one suite designed specifically for advanced AI evaluation and annotation. Abaka Forge seamlessly handles the ingestion of diverse knowledge-work deliverables—from complex video logs to multi-tab spreadsheets. The platform dynamically routes these tasks to specialized human reviewers, enforces blind pairwise comparison workflows, and automatically calculates Elo ratings. By incorporating large-model automation to organize tasks, Abaka Forge makes the evaluation process up to 50x faster, providing your team with highly structured, easily exportable benchmark data.
Is there a minimum task volume required to engage your services?
We do not enforce rigid minimum task volumes. Our services are elastically scalable to meet the precise needs of your AI lab. Whether you need an ongoing evaluation of thousands of complex agentic workflows for a major foundation model release, or a targeted Red Teaming run of just a few hundred tasks to verify a specific capability, we can accommodate you. Our flexible engagement models allow you to scale resources up or down on demand, ensuring you only pay for the expert evaluation you actually utilize.
