Evaluate your generative models on real-world, economically valuable work tasks with scholar-grade expert graders, blind pairwise comparison, and clear win-or-tie reporting.
Claiming your frontier model can do real professional work requires evidence that holds up to expert scrutiny. OpenAI's GDPval Benchmark tests exactly that: 1,320 tasks across 44 occupations, graded by blinded experts who compare model deliverables with work from industry professionals averaging 14 years of experience. When teams skip rigorous, expert-graded evaluation like this, weak spots in real deliverables go unnoticed until customers find them, derailing enterprise adoption and eroding your competitive advantage.
Abaka AI brings the GDPval Benchmark into your deployment pipeline by pairing your model's deliverables with scholar-network experts from the matching occupation. We combine blind human pairwise grading with model-as-judge pre-screening, and can layer our 6-dimension evaluation matrix on top. By measuring how often your model wins or ties against expert work, we empower your team to confidently deploy foundation models that deliver real economic value.
Without consistent, expert-graded benchmarks, model quality on real work products can quietly decay between releases. Superficial testing misses errors in spreadsheets, legal briefs and slide decks that a professional would catch immediately. A robust GDPval Benchmark strategy prevents this degradation by enforcing continuous, scholar-grade grading of authentic occupational deliverables.
Scaling model evaluation internally often hits severe volume walls. Recruiting graders for 44 occupations and reviewing hundreds of multi-file deliverables per model drains engineering resources and stalls iteration. Our specialized evaluators eliminate this bottleneck, handling up to 500 files per day per annotator to deliver rigorous grading without slowing down your deployment timeline.
Sharing pre-release model outputs with outside graders introduces real compliance friction for frontier model labs, especially under GDPR and CCPA. Running your GDPval Benchmark grading through our segregated secure pipelines, certified to SOC 2 and ISO 27001, ensures full IP provenance and a 0% copyright risk, guaranteeing strict compliance from day one.
Run the GDPval Benchmark across your foundation models using its open 220-task gold subset or custom GDPval-style task sets. Our experts grade documents, slides, spreadsheets and diagrams against professional deliverables, reporting the share of tasks where your model wins or ties before it ever reaches production.
Leverage over 1 million vertically specialized annotators and domain experts across 50+ countries. Our human evaluation teams rigorously assess nuanced capabilities like creative writing, interleaved images, and multi-layer QA to catch the subtleties that purely automated systems miss, ensuring true human alignment.
Scale your evaluation throughput exponentially with our large-model automated Model-as-Judge frameworks. By integrating Abaka Forge, we provide high-velocity assessments of code generation, agent functionality, and complex reasoning tasks, achieving up to a 50x faster evaluation cycle with meticulously calibrated grading.
Protect your enterprise and users with our intensive safety and bias auditing. Our red-teaming experts systematically probe your AI for vulnerabilities, offensive generations, and alignment failures, complementing GDPval's work-quality scores with dedicated robustness testing by native speakers from 50+ countries.
Evaluate generative AI beyond text. Our capabilities cover a comprehensive two-axis LLM matrix tailored for Image, Video Spatial Reasoning, 3D Point Clouds, and Audio formats. Whether it is text-to-video alignment or LiDAR+Camera fusion accuracy, we validate complex multimodal outputs.
Test the cognitive limits of your models using competition-grade STEM QA and Lean4 datasets. Our specialized math evaluators audit chain-of-thought (CoT) integrity alongside your GDPval runs, checking the quantitative reasoning behind financial models and engineering calculations with 99% grading accuracy.
Ensure your embodied AI and digital agents interact flawlessly with external tools. We benchmark user interaction, API tool usage, and HCI capabilities across custom RL environments, guaranteeing that your models execute complex sequential tasks reliably and without hallucinated parameters.
Stress-test your foundation models with deliberate, expert-crafted adversarial inputs. We conduct continuous red teaming to expose hidden vulnerabilities in alignment and factuality. With evaluations priced effectively, we secure your systems against unpredictable real-world deployment scenarios.
Accelerate your evaluation cycles significantly. By outsourcing the GDPval Benchmark to our global network, you bypass slow internal processes and achieve expert-graded GDPval results in days rather than months.
Eliminate the overhead of maintaining an internal evaluation workforce. Our transparent, per-eval pricing model ensures you only pay for the rigorous validation you actually need, saving substantial capital over time.
Mitigate regulatory and safety risks with our SOC 2 and ISO 27001 compliant infrastructure. We guarantee 0% copyright risk on collected data and enforce strict NDAs to protect your proprietary foundation models.
Scale your evaluation efforts up or down instantly. Whether you need 100 or 100,000 evaluations across diverse modalities, our specialized workforce adapts to your fluctuating throughput requirements seamlessly.
Tap into scholar-level intelligence. Our domain experts across Mathematics, Medicine, Law, and Coding provide the nuanced, highly specialized human evaluation required to accurately grade frontier models.
Free your internal engineering teams from tedious evaluation tasks. By trusting Abaka AI with the GDPval Benchmark, your core engineers can focus purely on model architecture and breakthrough AI innovation.
Grade automotive engineering and manufacturing deliverables with GDPval-style tasks reviewed by mechanical engineers. We also evaluate LiDAR+Camera fusion and spatial reasoning so self-driving models navigate complex real-world environments safely.
Empower your frontier models with our comprehensive two-axis evaluation matrix. We red-team and benchmark LLMs for alignment, factuality, and reasoning, ensuring robust performance before global public release.
Assess robotic agents in custom RL environments. We benchmark function calling, spatial awareness, and real-world interaction, guaranteeing your embodied AI systems execute complex physical tasks safely.
Ensure the reliability of medical AI with scholar-grade human evaluation. We validate complex medical reasoning and diagnostic models using domain experts, maintaining strict compliance and high accuracy in critical care scenarios.
Optimize retail chatbots and recommendation engines. Our evaluations test conversational agents for user interaction quality, tool calling, and brand alignment to enhance customer experiences and drive seamless conversions.
Secure financial forecasting and trading algorithms. We utilize objective benchmarks to test mathematical reasoning, defensive coding, and factuality, protecting your institution from costly hallucinations and compliance breaches.
Evaluate complex spatial models and 3D terrain analyses. Our geospatial benchmarking ensures your systems process point clouds and multi-modal geographic data with unparalleled precision and reliability.
Deploy mission-critical AI with total confidence. We conduct rigorous red teaming and safety audits on defense models within segregated secure pipelines, ensuring robustness and absolute data security under SOC 2 compliance.
Validate industrial IoT models and agricultural AI systems. We assess automated yield predictions and machinery agent interactions to ensure high efficiency and scalability in tough, real-world operational environments.
We collaborate with your engineering team to scope your GDPval run: which of the 44 occupations to cover, the 220-task gold subset or custom tasks, and how many models to compare. We also map optional checks from our 6-dimension framework to your foundation model's goals.
We assemble a custom team of vertically specialized annotators and domain experts. For specialized occupations like nursing, law or financial analysis, we onboard scholar-level reviewers, ensuring all participants understand your grading rubric and the blind comparison protocol.
The core evaluation phase begins. Using Abaka Forge, our experts run blind pairwise comparisons of your model's deliverables against professional work, with model-as-judge pre-screening to speed up triage and optional adversarial red-teaming.
As your model updates, we provide continuous monitoring and repeated safety audits. Our elastic workforce executes ongoing evaluations to ensure that iterative training runs do not introduce new vulnerabilities or cause quality decay.
Receive granular, actionable insights every week. We deliver comprehensive reports detailing win-or-tie rates by occupation, grader rationales, and bias detection, empowering your team to fine-tune models effectively before production deployment.
The GDPval Benchmark asks models to produce documents, slides, spreadsheets, diagrams and multimedia. Leveraging Abaka Forge, we grade those deliverables and extend coverage to every other frontier AI modality, from text reasoning to 3D spatial awareness and multi-sensor fusion.
| Modality | Annotation Types | Tools | Output Formats |
|---|---|---|---|
| Text | Factuality Checking, Sentiment Analysis, Creative Writing Eval | Abaka Forge | JSON, CSV, Parquet |
| LLM RLHF | Reward Modeling, Red Teaming, Alignment Scoring | Abaka Forge | JSONL, API Export, Arrow |
| Image | Dense Captioning, Spatial Reasoning, Safety Filtering | Abaka Forge | COCO, Pascal VOC, JSON |
| Video | Action Recognition Eval, Temporal Grounding, Frame QA | Abaka Forge | MP4 segments, JSON, CSV |
| 3D/4D Point Cloud | Object Tracking Eval, Scene Understanding, Spatial Mapping | Abaka Forge | PCD, JSON, OBJ |
| LiDAR + Camera fusion | Sensor Alignment QA, Edge Case Validation, Trajectory Eval | Abaka Forge | ROS Bag, JSON, Custom formats |
| Audio | Transcription Accuracy, Emotion Recognition, Speaker Diarization Eval | Abaka Forge | WAV, MP3, JSON |
A frontier model lab was preparing to launch a next-generation multimodal LLM but struggled to prove it could handle real professional work. Their internal team faced severe volume walls when trying to grade complex deliverables such as spreadsheets, reports and code across dozens of occupations. Without a standardized GDPval Benchmark approach, they experienced significant quality decay in edge cases, jeopardizing their aggressive product launch timeline and weakening their enterprise sales story.
We partnered with the lab to implement a comprehensive GDPval evaluation program. Utilizing Abaka Forge, we deployed automated model-as-judge pre-screening alongside scholar-grade human evaluators from the relevant occupations, from finance to software development. We ran the GDPval gold subset plus custom occupational tasks, layering adversarial red-teaming and tool-calling verification on top for a fuller picture of safety and factuality.
Running the GDPval Benchmark with Abaka transformed their deployment pipeline. We delivered over 50,000 expert gradings across GDPval and custom GDPval-style tasks, achieving a 70% reduction in preprocessing and evaluation time. Occupation-level reports pinpointed weak deliverable types for retraining, all at 99% grading accuracy, enabling the frontier model lab to confidently launch their LLM two weeks ahead of schedule.
Running the GDPval Benchmark with Abaka AI completely revolutionized our evaluation process. Their scholar-grade reviewers caught nuanced errors in our model's financial spreadsheets and legal drafts that automated graders entirely missed, saving us from a disastrous launch.
The safety and bias audits provided by Abaka's red-teaming experts are unparalleled. Their 6-dimension framework rigorously tested our generative AI, guaranteeing alignment with human values and strict regulatory compliance.
Scaling our model evaluations was a massive bottleneck until we discovered Abaka Forge. The blend of model-as-judge automation and human intelligence allowed us to process complex coding evaluations seamlessly and rapidly.
Abaka AI's commitment to data privacy and their 0% copyright risk guarantee gave us the confidence to test our proprietary models externally. Their objective benchmarks for tool calling and agent interaction are industry-leading.
Abaka AI is self-funded, profitable, and fundamentally committed to your success. We never build models that compete with you, meaning your proprietary datasets and model architectures remain exclusively yours. Operating without VC or acquisition pressure, we focus entirely on delivering the highest quality GDPval Benchmark evaluations, ensuring complete IP provenance and a 0% copyright risk.
Beyond GDPval's win-or-tie score, our 6-dimension framework evaluates models across Accuracy, Robustness, Efficiency, Safety, Tool Calling, and User Interaction, leaving no critical capability untested.
We deploy 1 million+ vertically specialized annotators across domains like Mathematics, Medicine, and Law, ensuring expert-level validation for your most complex models.
Security is built into our DNA. We operate segregated secure pipelines certified by SOC 2, ISO 27001, GDPR, and CCPA, protecting your intellectual property under strict NDAs.
Supercharge your evaluation velocity with Abaka Forge. By integrating model-as-judge methodologies, we deliver 50x faster processing without compromising on the depth or accuracy of the audit.
Whether evaluating 3D point clouds, interleaved images, or complex text, our specialized solutions scale effortlessly. We offer transparent, predictable per-unit pricing, empowering your team to plan massive evaluation runs precisely and without hidden costs.
Evaluate the Present. Guardrail the Future. Partner with Abaka AI to validate your frontier models with unparalleled precision.
