How is pricing structured for terminal-bench 2.0 evaluation?
We offer transparent, highly competitive pricing depending on the complexity of the evaluation task required for Terminal-Bench 2.0. For qualitative human reviews, Defensive Coding evaluation is priced at $15/eval, Math Capabilities is $12/eval, and specialized Red Teaming is $8/eval. If you are leveraging automated tool usage and model-as-a-judge pipelines via our proprietary Abaka Forge platform, costs are calculated at just $0.20/credit. This flexible, precise pricing model ensures predictable scaling for both deep human oversight and massive-scale automated objective benchmarks.
What is the typical timeline for setting up and running these benchmarks?
Setup typically spans just Day 0–3, during which our team collaborates closely with you to align on the 6-dimensional evaluation matrix and perfectly configure the specialized terminal environments. Benchmark execution begins immediately in Week 1–2, dynamically testing tool use and coding accuracy. Following this, deep human evaluation and red teaming occur seamlessly. To keep pace with your frontier model iteration cycles, continuous weekly reporting is delivered thereafter, providing comprehensive visibility into accuracy, safety, and robustness without ever delaying your internal engineering roadmaps.
Which data modalities and formats do your benchmarking environments support?
Our sophisticated benchmarking environments cover all major data modalities necessary for frontier AI evaluation. This includes complex Text, LLM RLHF, high-resolution Image, Video, immersive Audio, LiDAR + Camera fusion, and 3D/4D Point Cloud formats. Within Abaka Forge, output formats are completely customizable to integrate directly into your native training pipelines. Deliverables are typically provided as JSON, JSONL, Parquet, CSV, or specialized autonomous driving formats, ensuring that your multi-modal agent testing workflows proceed flawlessly without requiring extensive downstream data formatting or manipulation.
How do you maintain high accuracy in complex coding and reasoning evaluations?
We maintain an exceptional 99% accuracy standard by seamlessly combining high-volume automated objective benchmarks with our specialized scholar-grade human evaluators. Domain experts—ranging from software engineers testing defensive coding to mathematicians fluent in Lean4—meticulously review the most complex multi-turn agent interactions and edge cases. These highly trained professionals provide the nuanced oversight required to validate factual reasoning and catch subtle alignment failures that automated systems routinely miss. This dual-layered approach ensures your frontier models are robustly validated across every critical performance dimension.
Is my model and evaluation data kept secure during testing?
Absolutely. Security and data integrity are the foundational pillars of our operations. We are fully certified for SOC 2, ISO 27001, GDPR, and CCPA compliance. All evaluations—whether automated benchmarks or human-led red teaming—are conducted strictly within highly segregated, secure pipelines. We operate under rigorous NDAs and provide complete IP provenance, guaranteeing 0% copyright risk. Your proprietary codebases, evaluation datasets, and frontier model architectures remain entirely protected and are never repurposed, resold, or exposed to unauthorized external networks at any point.
Can you evaluate models across different languages and cultural contexts?
Yes, our expansive global network empowers rigorous evaluation across diverse linguistic and cultural contexts. We leverage over 1 million vertically specialized annotators strategically distributed across 50+ countries. This worldwide reach enables us to conduct deep, multi-lingual evaluation for complex conversational agents, instruction-following models, and culturally nuanced creative writing workflows. By testing your foundation models against highly diverse geographic datasets, we ensure they perform reliably, accurately, and safely, regardless of the target demographic or specific localized linguistic requirements your deployment demands.
Why choose Abaka AI over other benchmarking platforms?
Unlike conventional benchmarking platforms, Abaka AI operates as a deeply trustworthy data partner that explicitly never builds models to compete with your internal efforts. We are proudly self-funded and profitable, which means no aggressive VC pressure will ever compromise your data security or project prioritization. Furthermore, our unique synergy of highly specialized human intelligence and the proprietary Abaka Forge platform accelerates evaluation cycles up to 50x faster. We ensure your models deploy safely while you retain exclusive ownership of all proprietary data.
Can we adjust the evaluation criteria mid-cycle?
Yes, our agile evaluation process is specifically designed for elastic scalability and continuous iteration. We actively maintain a tight feedback loop with your engineering teams throughout the engagement. If your frontier model demonstrates entirely new capabilities, unexpected emergent behaviors, or unique failure modes during testing, we can dynamically update the evaluation prompts, rubrics, and custom terminal environments instantly. This ensures that your benchmarking suite remains perfectly aligned with the evolving complexities of your agent, preventing testing stagnation and driving true innovation velocity.
Do you offer a pilot phase before committing to full-scale benchmarking?
We highly encourage structured pilot engagements to thoroughly validate our 6-dimensional evaluation framework against your specific use cases before committing to massive-scale benchmarking. During this targeted pilot phase, we collaboratively calibrate the automated model-as-a-judge pipelines and explicitly train our scholar-grade annotators on your unique rubrics. This meticulous alignment guarantees that our testing methodologies, secure pipelines, and deliverables perfectly match your internal quality metrics and engineering expectations, providing a risk-free demonstration of our capabilities and the seamless efficiency of Abaka Forge.
Who owns the generated benchmarks and evaluation data?
You maintain absolute and exclusive ownership of all generated benchmarks, evaluation data, specialized prompts, and custom terminal environments. At Abaka AI, we strictly guarantee full IP provenance alongside a 0% copyright risk on all collected and processed data. Your proprietary intellectual property is treated with the highest degree of confidentiality—it is strictly yours. We unconditionally ensure that your evaluation frameworks and results are never repurposed, resold, or shared across any other client projects, securing your competitive advantage entirely.
What tooling is used to conduct these agent evaluations?
All critical benchmarking and evaluation operations are seamlessly powered by Abaka Forge, our proprietary, all-in-one enterprise platform. Abaka Forge elegantly integrates highly secure data collection, rigorous cleaning, automated model-as-a-judge execution, and exceptionally intuitive interfaces for human annotation. By centralizing these diverse workflows, the platform eliminates the massive friction of managing disjointed toolchains. This unified ecosystem accelerates the entire testing lifecycle by up to 50x, drastically reducing preprocessing times and allowing your engineering teams to focus entirely on advancing frontier model architectures.
Is there a minimum volume required to engage your benchmarking services?
Our inherently elastic infrastructure is specifically engineered to support a vast spectrum of project sizes. We seamlessly handle everything from targeted, highly specialized red teaming audits to massive-scale foundational model benchmarking requiring thousands of concurrent evaluations. While we proudly cater to over 1,000+ enterprise and elite research customers globally, our scalable operations ensure we can adapt flawlessly to your specific needs, regardless of your initial evaluation batch size. We provide consistent, high-fidelity testing whether you require short-term validation or long-term continuous integration pipelines.
