GDPval is OpenAI's benchmark of real-world professional work. Abaka supplies vetted experts to author GDPval-style tasks and blind-grade model deliverables.
GDPval is OpenAI's evaluation of how AI models perform on real-world, economically valuable work. Released in September 2025, it spans 44 occupations across the 9 sectors that contribute most to US GDP, with 1,320 tasks written by industry professionals averaging 14 years of experience; a 220-task gold subset is open-sourced. Blinded expert graders compare each model deliverable, such as a legal brief, spreadsheet, or slide deck, with a human expert's, and the headline metric is the share of tasks where the model wins or ties. GPT-5.2 Thinking reached 70.9%.
Abaka AI helps teams apply the same rigor to their own models. We supply vetted professionals across occupations to author GDPval-style tasks from real work products, produce expert reference deliverables, and grade model outputs blind against them. Whether you need a private GDPval-like eval for your domain, preparation for this kind of evaluation, or ongoing win-or-tie tracking, our expert teams and Abaka Forge tooling deliver scalable, human-in-the-loop assessments you can trust before production.
Automated metrics and generic rubrics miss what professionals judge in a deliverable: domain correctness, formatting, and whether a client could actually use it. Without expert graders comparing outputs to real expert work, scores drift away from true quality.
GDPval-style evaluation needs experienced professionals from dozens of occupations to write tasks, produce reference deliverables, and grade outputs. Internal teams rarely have that breadth, so evaluation cycles stall long before coverage is complete.
Tasks built from real work products can contain confidential client details. Handling them requires strict adherence to SOC 2, ISO 27001, and GDPR standards plus careful de-identification, or your evaluation program introduces legal and privacy risk.
Our vetted professionals turn real work products into evaluation tasks, each with a clear request, reference files, and an expert deliverable to compare against. Tasks go through multiple review rounds so they reflect the work your target occupations actually do.
Experienced practitioners compare your model's deliverable with an expert's without knowing which is which, rating it better, as good, or worse. We report win-or-tie rates by occupation and task type, with written rationales for every judgment.
Compare the time and cost of your model's deliverables with expert baselines, as GDPval does. Our pipelines also monitor latency and resource consumption, helping you optimize architectures for seamless scaling without sacrificing output quality.
Mitigate harmful outputs with our comprehensive safety audits. We assess your models for toxic content, demographic bias, and value alignment, ensuring compliance with strict ethical standards and global regulations.
Validate your agent's ability to use tools, code, and files to produce real deliverables such as spreadsheets and slide decks. Our targeted assessments measure the precision of function calls, ensuring reliable execution in complex, multi-step environments.
Gauge the conversational quality and instruction-following capabilities of your AI. We employ human-in-the-loop evaluations to score tone, clarity, and overall user satisfaction across diverse linguistic contexts.
Proactively identify vulnerabilities with our specialized red teaming services. Our domain experts craft sophisticated attacks to expose security flaws, ensuring your models are impenetrable before public deployment.
We build held-out, GDPval-like evaluation sets for the occupations you care about, with rubrics, expert baselines, and grader agreement checks. Use them to prepare for public evaluation, track progress between releases, or calibrate automated graders against human judgment.
Accelerate your evaluation cycles by leveraging our global workforce. We reduce validation timeframes from months to mere weeks, enabling rapid model iteration and faster time-to-market.
Eliminate the overhead of managing internal evaluation teams. Pay only for the assessments you need, significantly reducing your overall operational expenditure without compromising precision.
Minimize the threat of biased or toxic outputs. Our rigorous auditing frameworks ensure your models comply with strict enterprise safety standards, protecting your brand reputation.
Seamlessly scale your evaluation pipelines up or down. Whether you need 100 or 10,000 prompts reviewed, our platform adapts dynamically to your specific volume requirements.
Access a curated network of vertically specialized experts across occupations. From advanced mathematics to legal and financial work, our evaluators can author and grade GDPval-style tasks.
Free your internal engineering teams from tedious evaluation tasks. Allow your top talent to focus entirely on algorithmic development and advancing core model architecture.
We evaluate autonomous driving models and in-cabin AI assistants, ensuring spatial reasoning and situational awareness meet stringent safety standards.
Our professionals author GDPval-style tasks and blind-grade deliverables for next-generation LLMs, measuring how often outputs match or beat expert work.
Validate complex agent interactions within custom RL environments, guaranteeing your robotic systems execute tasks flawlessly in dynamic physical spaces.
Ensure medical AI models adhere to the highest standards of accuracy and confidentiality. Our clinical experts grade deliverables such as nursing care plans against expert work with uncompromising precision.
Optimize customer-facing chatbots and recommendation engines. We evaluate conversational AI for tone, accuracy, and seamless instruction following in retail environments.
Audit financial models and deliverables for logical consistency. Finance professionals author spreadsheet and analysis tasks and blind-grade model outputs against expert work.
Evaluate models processing intricate satellite imagery and mapping data. Our teams ensure high-fidelity spatial interpretation for accurate global monitoring.
Deploy aggressive red teaming to harden defense AI systems. We uncover latent vulnerabilities, ensuring mission-critical models are secure against adversarial threats.
Validate predictive maintenance and crop-yield models. We assess the accuracy of AI analyzing IoT sensor data to drive industrial efficiency.
We map which occupations and deliverable types matter for your model, using GDPval's structure of real work products and expert baselines as a template. Together, we establish the evaluation matrix and grading criteria.
Our experts configure the Abaka Forge platform, setting up tailored validation workflows. We run initial blind grading rounds to calibrate our evaluators, ensuring strict adherence to your custom grading rubrics.
We scale the evaluation process, deploying our scholar-network to review thousands of outputs. Our multi-layered QA system actively monitors for consistency, guaranteeing 99% accuracy across all assessed data points.
Continuous red teaming and stress testing run in parallel to standard evaluations. We proactively probe your models for emerging vulnerabilities, ensuring long-term robustness against novel adversarial prompts.
You receive comprehensive weekly performance reports, including win-or-tie rates against expert deliverables by occupation. We deliver structured evaluation data directly to your infrastructure, accelerating your model iteration cycles.
Our comprehensive evaluation platform seamlessly processes diverse data types, ensuring your multi-modal frontier AI is rigorously validated across all operational dimensions.
| Modality | Annotation Types | Tools | Output Formats |
|---|---|---|---|
| Text | Red Teaming, Factuality Audits, Tone Analysis | Abaka Forge | JSON, JSONL, CSV |
| LLM RLHF | Prompt Ranking, Reward Modeling, Alignment | Abaka Forge | JSONL, Parquet, Arrow |
| Image | Visual QA, Artifact Detection, Aesthetic Grading | Abaka Forge | COCO, Pascal VOC, JSON |
| Video | Spatial Reasoning, Temporal Alignment, Action Eval | Abaka Forge | MP4, JSON, CSV |
| 3D/4D Point Cloud | Object Permanence, Spatial Auditing, Trajectory Eval | Abaka Forge | PCD, JSON, CSV |
| LiDAR + Camera fusion | Sensor Alignment QA, Depth Validation, Bounding Box Eval | Abaka Forge | JSON, ROSbag, CSV |
| Audio | Transcription Accuracy, Emotion Detection, TTS Eval | Abaka Forge | WAV, JSON, TextGrid |
The lab wanted to measure its next-generation LLM on professional deliverables the way GDPval does, but had no expert-written tasks or qualified graders beyond coding and mathematical reasoning. Internal teams were overwhelmed by the volume of prompts, factual accuracy slipped by 30%, and the product launch was delayed by several weeks.
Abaka AI deployed a specialized task force of vetted professionals from our scholar-network, starting with finance, legal, and healthcare roles. Using the Abaka Forge platform, they authored GDPval-style tasks with expert reference deliverables and graded model outputs blind, alongside our 6-dim evaluation framework and human-in-the-loop red teaming for logic errors, formatting precision, and defensive coding vulnerabilities.
Within just three weeks, our pipeline evaluated over 50,000 complex prompts and deliverables at 99% grading QA accuracy. Win-or-tie tracking against expert work showed the lab exactly where its model fell short, the factual drift was resolved, and the lab confidently launched its frontier model on schedule.
Abaka AI helped us build a private GDPval-style evaluation for our domain. Their professionals and blind grading process gave us a clear read on our model's deliverables before our critical enterprise release.
The speed and precision of their evaluation pipelines are unmatched. We drastically reduced our evaluation cycles, allowing our core engineering team to focus entirely on advancing our model's architecture.
Their domain-specific evaluators caught nuanced logic flaws that automated benchmarks completely missed. Partnering with Abaka was the smartest decision we made for our complex reasoning model.
The insights provided by their 6-dim evaluation matrix gave us the ultimate confidence to deploy. Their deep commitment to data security and factual alignment is truly best-in-class.
At Abaka AI, your proprietary data is exclusively yours. We are self-funded, profitable, and completely independent of VC pressures, ensuring we never build models that compete with our clients. Our globally distributed operations across Singapore, Paris, and Silicon Valley uphold strict NDAs and operate within segregated secure pipelines, providing absolute IP provenance for every project.
Leverage over 1 million vertically specialized annotators and domain experts capable of validating the most complex scientific, medical, and mathematical AI outputs with 99% accuracy.
Deploy with confidence knowing our validation pipelines strictly adhere to SOC 2, ISO 27001, GDPR, and CCPA standards, completely mitigating your regulatory risks.
Go beyond basic metrics. Our comprehensive two-axis LLM evaluation matrix rigorously cross-examines alignment, bias, factuality, and values against multimodality, coding, and advanced agent reasoning capabilities.
Experience up to a 50x increase in processing speed enabled by the large-model automation integrated directly into the Abaka Forge platform, drastically shrinking your iteration cycles.
We don't believe in one-size-fits-all evaluations. Whether you require bespoke adversarial red teaming or custom RL environment design for embodied AI, we tailor every aspect of our validation pipeline to seamlessly integrate with your unique architecture and operational goals.
Evaluate the Present. Guardrail the Future.
