How much does it cost to evaluate models against complex agentic benchmarks?
Our evaluation pricing is designed to be fully transparent and highly cost-effective, completely eliminating the need for you to maintain expensive internal testing infrastructure. For rigorous assessment, our Model Evaluation services offer specific per-task rates depending on the complexity of the workflow. For example, we charge $12/eval for comprehensive Math Capabilities testing, $15/eval for Defensive Coding audits, and $8/eval for rigorous Red Teaming to ensure your terminal agents are perfectly secure. Additionally, if you require dedicated expert reviewers to verify code generation manually, our specialized LLM Math/Coding experts are available at $18/hr. We tailor these flexible pricing models to fit your specific evaluation throughput.
How quickly can you set up and execute a custom benchmark for our AI agents?
We understand that rapid iteration is absolutely critical for teams developing frontier models. Our highly streamlined onboarding process allows us to provision fully secure, containerized terminal environments and begin large-scale evaluations in just 2 to 3 weeks. During this rapid initial phase, we intimately align our comprehensive 6-dimensional grading rubrics with your specific requirements and immediately train our scholar-network reviewers. Once this agile setup is complete, our scalable Abaka Forge infrastructure can process thousands of complex agent execution traces daily, ensuring you receive continuous, high-speed feedback on every single model update without any frustrating delays.
What modalities and formats do your evaluation sandboxes support?
Our flexible infrastructure is meticulously designed to support a comprehensive array of advanced data modalities and complex operational formats. While terminal agent evaluations heavily focus on multi-step Text reasoning and dynamic Code execution, our robust pipelines seamlessly handle LLM RLHF, Video Spatial Reasoning, Audio processing, and even highly complex 3D/4D Point Cloud environments for embodied AI. Using our proprietary Abaka Forge platform, we evaluate agents executing shell scripts, navigating virtual environments, and interacting with multimodal toolsets, ultimately delivering rich JSON execution traces and highly detailed capability matrices that cover every aspect of your model.
How do you ensure high accuracy when evaluating multi-step autonomous workflows?
Ensuring precision in long-horizon autonomous workflows requires far more than simple automated unit testing. We achieve an exceptional 99% evaluation accuracy by synergizing our highly scalable Model-as-Judge automated infrastructure with rigorous human-in-the-loop verification. For highly ambiguous or highly complex execution traces, we deploy our elite network of over one million scholar-grade domain experts—including software engineers and data scientists—to manually review the model's logic. These specialized professionals deeply analyze the complete context of the terminal session, effectively catching subtle hallucinations and nuanced errors that automated systems fundamentally cannot detect.
How secure are your environments when evaluating agents capable of executing code?
Security is our absolute highest priority when testing agents capable of running code and modifying systems. We evaluate all models within strictly isolated, heavily containerized terminal sandboxes that completely prevent any unauthorized external network access or cross-contamination. Our entirely secure pipelines are fully SOC 2 and ISO 27001 compliant, and we enforce incredibly strict NDAs across all personnel. Furthermore, we guarantee 0% copyright risk and full IP provenance. Your proprietary codebase and sensitive system configurations are never exposed, completely ensuring that your intellectual property remains entirely safe throughout the rigorous evaluation process.
Can you evaluate AI agents interacting with systems in multiple languages?
Yes, our extensive global network of over one million specialized experts spans more than 50 countries, granting us unparalleled capability to evaluate AI agents across a massive spectrum of languages. If your autonomous system must execute complex terminal commands, parse dense technical documentation, or interact seamlessly with enterprise databases in languages other than English, we can easily deploy native-speaking, highly technical scholars to verify the outputs. This extensive multilingual capacity ensures your foundation models are rigorously prepared for truly global deployment, operating with perfect accuracy and cultural nuance across diverse international enterprise environments.
Why should we choose Abaka AI over building our own evaluation infrastructure?
Building custom evaluation infrastructure is an immense drain on your engineering resources, often delaying core model development by many months. By choosing Abaka AI, you immediately bypass the massive engineering bottleneck of provisioning and maintaining thousands of secure terminal sandboxes. Unlike venture-backed startups that might pivot or eventually compete with you, we have been a deeply profitable, fiercely independent partner since 2019. We strictly guarantee that we will never build models that compete with yours. Your data remains exclusively yours, and you benefit immediately from our scalable infrastructure and unmatched 6-dimensional evaluation framework.
Can we adjust the evaluation criteria or benchmark difficulty during the project?
Absolutely. Evaluating highly advanced autonomous agents requires a dynamic, highly iterative approach. As your model's capabilities rapidly evolve, standard tests often become entirely saturated. We hold dedicated weekly syncs with your engineering team specifically to review performance metrics and collaboratively refine the evaluation rubrics. You can seamlessly introduce harder terminal tasks, inject unexpected system failures, or modify our 6-dimensional scoring matrix at any time. Our agile infrastructure and highly responsive expert reviewers adapt immediately to these changes, ensuring your model is consistently challenged by the most relevant and difficult edge cases.
Do you offer a pilot program before we commit to full-scale model evaluation?
Yes, we strongly encourage starting with a highly targeted pilot program to demonstrate our exceptional evaluation capabilities. During this completely risk-free pilot, we configure a secure subset of our comprehensive terminal sandboxes and rigorously evaluate your agent against a highly representative sample of complex, multi-step tasks. This allows your team to directly validate the incredible precision of our scholar-network reviewers, thoroughly test our scalable Model-as-Judge infrastructure, and seamlessly integrate our detailed JSON execution logs into your workflows. The pilot ensures absolute alignment on quality and process before rapidly scaling up to massive evaluation volumes.
Who owns the execution traces and evaluation data generated during testing?
You retain absolute, 100% ownership of all evaluation data, proprietary code, and execution traces generated during the benchmarking process. Abaka AI operates purely as your deeply trusted, highly secure infrastructure partner. We strictly guarantee that your invaluable data is never repurposed, resold, or utilized to train external systems. With full IP provenance and absolutely zero copyright risk, you can confidently integrate our detailed evaluation matrices and highly specialized benchmarking metrics into your development pipelines, knowing your enterprise assets are fiercely protected by our uncompromising, industry-leading data sovereignty policies and compliance standards.
What specific tools do you use to evaluate models against complex benchmarks?
Our evaluations are fully powered by our proprietary Abaka Forge platform, an advanced all-in-one suite designed specifically for rigorous model training and highly complex testing. Abaka Forge seamlessly orchestrates the provisioning of secure terminal environments, instantly tracks multi-step command execution, and seamlessly manages the integration between our automated Model-as-Judge pipelines and human-in-the-loop scholar reviews. This highly sophisticated tooling empowers us to achieve speeds up to 50x faster than traditional evaluation methods, effortlessly generating perfectly formatted execution logs, comprehensive evaluation matrices, and rich JSON traces tailored precisely to your engineering team's exact specifications.
Is there a minimum volume requirement for your agent evaluation services?
We purposefully design our robust evaluation pipelines to be remarkably elastic, easily accommodating both highly targeted, small-scale stress tests and massive, enterprise-wide model audits. While we thrive on managing high-volume, extremely complex workflows across thousands of concurrent terminal environments, we do not enforce strict, inflexible minimum size requirements that block innovation. We seamlessly tailor our engagement models—whether structured as a focused project-based audit or a long-term, continuously scaling evaluation partnership—to perfectly match your current testing throughput. This dynamic scalability ensures you only ever pay for exactly the specialized expert review and automated evaluation capacity you actually need.
