Talk to an Expert
Talk to an Expert

Master the GDPval Benchmark
with Expert Human Evaluation

Ensure your frontier models deliver real-world economic value across 44 occupations with our scholar-grade reviewers and comprehensive human-as-judge evaluations.

Talk to an Expert

Evaluating frontier models on the GDPval benchmark requires profound domain expertise. Automated grading falls short when judging authentic tasks drawn from real-world workplaces, such as legal briefs, engineering blueprints, and medical care plans. Relying solely on model-as-judge techniques for complex, multi-step deliverables across 44 distinct knowledge work occupations can lead to blind spots, critical inaccuracies, and an inability to truly measure economic impact. Without rigorous human evaluation, your team risks deploying foundation models that fail when faced with nuanced professional challenges, costing weeks of iteration time and weakening the GDPval results you report.

Abaka AI provides the ultimate solution for scoring and advancing your models against the GDPval benchmark. With access to over 1 million vertically specialized professionals spanning 50+ countries, we pair your model's outputs with the exact occupational experts needed for head-to-head human comparison. From project management and finance to software development and healthcare, our 6-dimension evaluation framework ensures 99% accuracy in grading reasoning, factuality, and domain alignment. We eliminate the guesswork from benchmarking, enabling you to accurately measure progress, fine-tune model behavior, and build trustworthy AI systems that excel in high-value real-world tasks.

The GDPval Evaluation Bottleneck

01

Quality Decay

Attempting to evaluate highly specialized occupational outputs with generalist annotators or pure automation leads to massive quality decay. The GDPval benchmark demands true subject matter expertise to assess complex deliverables like financial models, legal briefs, and technical engineering diagrams. When evaluators lack the necessary domain experience, critical nuances are completely overlooked, resulting in skewed win rates and false confidence in your frontier models. This misalignment can set back deployment by weeks. Abaka AI directly bridges this gap by deploying scholar-grade reviewers with real-world experience, ensuring a 99% accuracy rate in human-led grading across all 44 occupations targeted by the benchmark.

02

Volume Walls

Scaling head-to-head human evaluations across hundreds of GDPval tasks quickly hits a volume wall. Securing enough qualified professionals—from registered nurses to mechanical engineers—to review thousands of complex deliverables often takes months for internal teams. This severe throughput limitation drastically slows down iteration cycles for frontier model labs. Abaka AI shatters this barrier by activating a global workforce of over 1 million specialized annotators, capable of reviewing up to 500 files per day per annotator. This elastic scalability guarantees that even your most extensive benchmarking runs are completed in days, not months, keeping your research pipeline moving.

03

Compliance Friction

Processing proprietary evaluation prompts and confidential benchmarking data introduces significant compliance friction. Exposing pre-release model outputs or sensitive workplace datasets to unverified third-party crowdsourcing platforms risks catastrophic IP leaks and regulatory breaches. For AI teams building enterprise-grade tools, maintaining strict security is non-negotiable. Abaka AI eliminates these concerns through SOC 2 and ISO 27001 certified pipelines, operating within segregated secure environments. We enforce strict NDAs with all our occupational experts and guarantee full IP provenance. Your model outputs and benchmarking data remain exclusively yours, carrying 0% copyright risk while maintaining total confidentiality throughout the grading process.

01

Comparative Human Expert Evaluation

Our core offering for the GDPval benchmark is rigorous head-to-head human expert evaluation. We seamlessly pit your model's outputs against human baselines or competing frontier models, relying on experienced professionals to systematically score performance across 44 distinct knowledge work occupations. By leveraging our vast scholar network—including seasoned experts in Automobile, Medicine, Law, Business, and Science—we accurately determine which output represents the highest quality, most usable deliverable. This meticulous comparative process provides the reliable, human-verified win-or-tie rates required to objectively prove your model's economic value and general reasoning capabilities in real-world scenarios.

02

Automated Model-as-Judge Workflows

While human experts are essential for gold-standard GDPval grading, scaling evaluation requires powerful automation. Using the Abaka Forge platform, we integrate advanced Model-as-Judge pipelines that pre-score standard tasks, filtering out obvious failures before they reach human reviewers. This hybrid approach significantly reduces evaluation costs while accelerating turnaround times. We evaluate against a 6-dimension framework covering Accuracy, Robustness, and Efficiency. By blending AI-driven preliminary scoring with final scholar-grade human verification, we deliver massive throughput for extensive benchmark datasets without compromising on the 99% accuracy rate your lab depends on.

03

Cross-Modality Deliverable Scoring

GDPval tasks are rarely limited to simple text prompts; they often require complex, multimodal deliverables such as spreadsheets, engineering blueprints, and presentations. Our evaluators are trained to assess these rich output formats using the all-in-one Abaka Forge platform, which seamlessly supports Text, Image, Video, and complex reasoning pipelines. Whether your model is generating multi-layered financial models or interleaved image-and-text slide decks, our specialized annotators evaluate the holistic quality, formatting precision, and contextual accuracy of the final work product, ensuring comprehensive assessment of your multimodal frontier models.

04

Chain-of-Thought & Reasoning Audits

GDPval grades the final work product, but improving it often means understanding how a model reasons toward that deliverable. Our specialized reviewers deeply analyze your model's Chain-of-Thought (CoT) processes, scoring not just the final output but the logical steps taken to arrive there. For complex tasks like STEM QAs and Defensive Coding—priced at $15/eval—we identify hallucinated logic, logical leaps, and reasoning breakdowns. This granular feedback loop empowers researchers to refine reinforcement learning algorithms and significantly boost performance on high-stakes economic reasoning tasks.

05

Safety, Bias, and Red Teaming

Before deploying models capable of handling real-world occupational tasks, rigorous safety and bias testing is mandatory. Alongside GDPval grading, we offer deep red teaming—available at just $8/eval—to probe your model for vulnerabilities, harmful outputs, and professional biases. We test across our two-axis LLM matrix, evaluating alignment, factuality, and values against generation and reasoning capabilities. By systematically exposing edge cases and potential compliance violations in simulated workplace scenarios, our security-cleared experts ensure your model is both economically valuable and fundamentally safe for enterprise adoption.

06

RLHF Fine-Tuning Pipelines

Evaluation is only half the battle; improving your model's GDPval score requires continuous refinement. We provide end-to-end LLM RLHF data pipelines, generating high-quality human preference data tailored specifically for occupational tasks. Using the Abaka Forge platform, our domain experts rewrite sub-par model outputs and rank responses based on professional standards. With annotators capable of processing up to 500 files per day, we rapidly generate the customized reward model training data needed to align your frontier model with expert-level human performance across all 9 major economic sectors.

07

Specialized Scholar-Network Sourcing

Achieving human-parity on the GDPval benchmark requires human evaluators who actually understand the work. We utilize a highly curated scholar network to source practicing professionals in specialized fields, including Law, Medicine, Mathematics, and Business. If a task involves evaluating a nursing care plan or a complex mechanical engineering schematic, we route that specific output to a verified expert in that exact domain. This vertical specialization eliminates the noise caused by unqualified crowdsourcing, ensuring that every score, rank, and critique reflects authentic, real-world industry standards and expectations.

08

Segregated Secure Pipelines

Evaluating unreleased frontier models requires the highest levels of data security and confidentiality. We operate fully segregated secure pipelines to protect your proprietary weights, prompts, and evaluation results. Fully compliant with SOC 2, ISO 27001, GDPR, and CCPA standards, our infrastructure ensures that your data is exclusively yours. We never repurpose, resell, or share your benchmark data. Backed by strict NDAs across our 50+ country workforce, you can confidently run extensive GDPval evaluations knowing your intellectual property and competitive leaderboard standing remain completely safeguarded.

Why Outsource GDPval Evaluation

01

Faster Delivery

Setting up internal evaluation teams for 44 distinct occupations takes months of rigorous recruitment, onboarding, and training. By outsourcing your GDPval grading to Abaka AI, you instantly access a pre-vetted global workforce of over 1 million specialized annotators. This massive elasticity accelerates your benchmark evaluation cycles by weeks or even months, delivering rapid win-rate reports and human-as-judge feedback. Our streamlined operations ensure you hit your research deadlines without getting bogged down in talent acquisition.

02

Direct Savings

Hiring full-time occupational experts to grade model outputs is prohibitively expensive for most AI labs. Outsourcing converts these massive fixed overheads into manageable, project-based variable costs. With transparent pricing—like Math Capabilities at $12/eval or Red Teaming at $8/eval—you only pay for the exact volume of evaluation you need. This highly efficient model stretches your research budget further, allowing you to reallocate capital toward compute and algorithmic innovation rather than administrative overhead.

03

Risk Reduction

Navigating data privacy laws and securing pre-release frontier models is incredibly complex. Managing this internally exposes your organization to significant compliance and IP leakage risks. Abaka AI assumes this operational burden by providing SOC 2 and ISO 27001 certified evaluation pipelines. Our strict NDAs, segregated secure environments, and 0% copyright risk guarantee ensure your proprietary benchmarking data remains entirely confidential, significantly reducing your organizational liability.

04

Elastic Scalability

Model evaluation workloads are notoriously spiky; a new training run can suddenly require thousands of head-to-head comparisons overnight. Internal teams simply cannot scale up or down rapidly enough to meet these demands. Abaka AI offers true elastic scalability, effortlessly spinning up specialized evaluation pods capable of processing high volumes of GDPval deliverables. Our platform handles peak throughput seamlessly, ensuring your research pipeline never stalls due to evaluator bottlenecks.

05

Domain Expertise

The GDPval benchmark spans highly technical sectors, from legal analysis to mechanical engineering. Generalist internal teams lack the required depth to accurately score these specialized deliverables. By outsourcing, you tap directly into our scholar-network domains, guaranteeing that every medical, financial, and coding task is reviewed by a practicing professional. This immediate access to vertical expertise ensures 99% grading accuracy and provides nuanced feedback that generalists simply cannot match.

06

Innovation Velocity

Every hour your researchers spend grading model outputs or managing crowdsourced evaluators is an hour lost on core algorithmic development. Outsourcing the heavy lifting of GDPval benchmarking to Abaka AI frees your engineering team to focus entirely on advancing your frontier models. By relying on our all-in-one Abaka Forge platform for continuous, high-quality evaluation feedback, you dramatically increase your overall innovation velocity and maintain a competitive edge on the leaderboard.

Industries We Serve

Automotive

Evaluating foundation models for the automotive sector requires a deep understanding of supply chain logistics, project management, and mechanical engineering. For GDPval's manufacturing occupations and custom GDPval-style tasks, we provide highly specialized experts to rigorously grade work related to vehicle production schedules, fleet management software, and complex manufacturing workflows. Our human evaluators ensure that your AI models generate actionable, safe, and economically viable outputs that meet the strict quality standards demanded by tier-1 automotive leaders.

GenAI / Foundation Models

For frontier model labs building the next generation of GenAI, achieving high scores on the GDPval benchmark is critical for proving real-world utility. We deploy scholar-grade evaluators to conduct head-to-head human comparisons across diverse knowledge work tasks. By grading multi-step reasoning, creative writing, and complex instruction following, we provide the accurate win-or-tie rates you need to validate your foundational models against competing architectures.

Embodied AI / Robotics

As AI agents interact with the physical world, benchmarking their planning and spatial reasoning becomes vital. We evaluate GDPval-style tasks focused on industrial automation and robotic process management. Our domain experts analyze the logic and efficiency of model-generated operational plans, ensuring your embodied AI systems can handle complex, real-world economic tasks safely and effectively before deployment in physical environments.

Healthcare

The healthcare sector demands absolute precision. We evaluate medical GDPval tasks by pairing model outputs with practicing registered nurses and medical administrators. Whether assessing patient care plans, clinical documentation, or hospital resource management spreadsheets, our ISO 27001 and SOC 2 certified pipelines ensure strict data privacy. We verify that your healthcare models produce accurate, factual, and medically sound deliverables that meet rigorous professional standards.

Retail

In the retail sector, AI models must optimize pricing strategies, inventory forecasting, and complex customer support operations. We provide seasoned business analysts to evaluate GDPval tasks centered around retail management and economic planning. By grading model-generated spreadsheets and logistical reports against human expert baselines, we ensure your AI systems deliver the strategic insights necessary to drive profitability and operational efficiency in real-world retail markets.

Finance

Evaluating financial reasoning requires uncompromising accuracy. Our finance experts rigorously assess GDPval tasks involving complex financial modeling, investment analysis, and risk assessment. We review your model's ability to process financial documents and generate pristine spreadsheets. By conducting in-depth reasoning audits and factuality checks, our scholar network ensures your models provide trustworthy, expert-level financial guidance that adheres to strict industry compliance and economic realities.

Geospatial

GDPval-style geospatial tasks can involve interpreting complex mapping data and urban planning documentation. We deploy specialists capable of evaluating model outputs related to environmental analysis, surveying, and spatial logistics. Our evaluators verify that your frontier models can accurately synthesize multi-layered geographic information, ensuring that generated reports and operational plans are highly accurate, contextually aware, and ready for professional use.

Security / Defense

For defense and security applications, model outputs must be incredibly robust, factually precise, and secure. We conduct rigorous evaluations of GDPval-style tasks focused on cybersecurity planning, threat analysis, and secure software development. Utilizing our comprehensive 6-dimension evaluation framework and deep red-teaming methodologies, our security-cleared experts ensure your models operate reliably under pressure, entirely free from critical vulnerabilities or logical breakdown.

Agriculture / Industrial

The industrial and agricultural sectors rely on complex resource management and supply chain optimization. Our evaluators assess GDPval-style tasks that involve crop yield forecasting, industrial equipment maintenance scheduling, and agricultural logistics. By verifying the accuracy and economic viability of these model-generated plans, we ensure your AI systems can effectively drive productivity and modernization across vital industrial and agricultural supply chains.

How It Works

1) Day 0–3 — Benchmark Scoping & Expert Matching

We begin by analyzing your specific GDPval evaluation requirements, mapping the tasks across the 44 targeted occupations. Within the first three days, we configure the Abaka Forge platform to handle your proprietary deliverables and match your project with our scholar-network domains. Whether you need lawyers, nurses, or engineers, we assemble a specialized team of verified experts ready to conduct head-to-head grading under strict NDAs.

2) Week 1–2 — Baseline Calibration & Red Teaming

During the first two weeks, we run a calibration phase to ensure our human evaluators perfectly align with your scoring rubrics and the GDPval baseline standards. We conduct initial head-to-head comparisons, evaluate Chain-of-Thought reasoning, and perform targeted red teaming to identify early biases or safety failures. This phase establishes a rigorous 99% accuracy baseline before scaling to massive throughput.

3) Week 2–3 — High-Volume Human Evaluation

With calibration complete, we scale the evaluation process utilizing our global workforce. Our annotators process up to 500 files per day, meticulously grading documents, spreadsheets, and multimodal deliverables against human expert work products. Operating within our SOC 2 certified, completely segregated secure pipelines, we generate thousands of highly reliable blinded pairwise judgments, providing clear visibility into your model's real-world economic capabilities.

4) Ongoing — RLHF & Continuous Feedback Loop

Evaluation is tightly integrated with improvement. As our experts grade your GDPval tasks, they simultaneously generate high-quality RLHF data by rewriting subpar outputs and providing detailed logical critiques. This continuous feedback loop is fed directly back to your research team, enabling rapid reinforcement learning cycles that specifically target your model's weak points in professional reasoning and complex instruction following.

5) Weekly — Win-Rate Updates & Delivery

We provide comprehensive weekly reporting on your model's performance against the GDPval benchmark. You receive structured evaluation data, detailed reasoning audits, and updated win-or-tie rates delivered directly through the Abaka Forge platform. Our transparent weekly syncs ensure your research team can immediately action the insights, continuously fine-tuning your frontier AI to achieve unparalleled human-parity across all nine major economic sectors.

Modality & Format Coverage

The GDPval benchmark requires models to produce diverse, real-world work products. Abaka AI’s comprehensive modality coverage ensures that no matter how complex the deliverable—from textual reports to multimodal presentations—we have the tools and experts to evaluate it.

ModalityAnnotation TypesToolsOutput Formats
TextHead-to-head scoring, Factuality auditing, CoT reasoning analysis, Creative writing evalAbaka ForgeLegal briefs, Care plans, JSON, Markdown
LLM RLHFPreference ranking, Output rewriting, Safety alignment, Bias auditingAbaka ForgeReward models, Ranked pairs, Prompt-response datasets
ImageInterleaved image evaluation, Visual reasoning, Chart interpretationAbaka ForgeSlide decks, Diagrams, Bounding boxes, Segmentation masks
VideoVideo spatial reasoning, Temporal action tracking, Multimodal QAAbaka ForgeTimestamped event logs, Video captions, Action sequences
3D/4D Point CloudSpatial planning eval, 3D indoor scene analysis, Object trackingAbaka ForgeVector maps, Semantic segmentation, 3D bounding boxes
LiDAR + Camera fusionSensor fusion reasoning, Autonomous lane evaluation, Obstacle detectionAbaka ForgeCalibrated multi-sensor logs, Fused object lists, Trajectory paths
AudioMultilingual TTS evaluation, Transcription auditing, Sentiment analysisAbaka ForgeTranscripts, Audio-text pairs, Pronunciation scores

Success Story

A frontier model lab
Challenge

A frontier model lab aimed to dominate the newly released GDPval benchmark to prove their latest foundation model could handle complex, economically valuable tasks. However, their internal evaluation team lacked the diverse domain expertise required to accurately grade specialized outputs across 44 distinct occupations. Attempting to use generalist crowdsourcing resulted in massive quality decay, highly inconsistent win rates, and a complete inability to evaluate complex deliverables like financial spreadsheets and mechanical engineering blueprints. The lab was facing a severe bottleneck, risking a delayed launch and falling behind competitors on a closely watched real-world economic benchmark.

Approach

The lab partnered with Abaka AI to completely outsource their GDPval evaluation pipeline. Leveraging the Abaka Forge platform and our scholar-network domains, we rapidly deployed hundreds of verified professionals—including practicing lawyers, nurses, and business analysts—to conduct head-to-head human evaluations. Operating within our SOC 2 certified, fully segregated secure pipelines, our experts graded thousands of model outputs against human baselines. We provided detailed Chain-of-Thought reasoning audits, red-teaming for safety, and generated high-quality RLHF preference data to actively improve the model's performance on underperforming occupational tasks.

Results

The implementation of our scholar-grade human evaluation pipeline dramatically accelerated the lab's benchmarking cycle. By processing up to 500 files per day per annotator, we reduced their evaluation backlog from months to just two weeks. The feedback loop raised their model's win-or-tie rate against experts by 15 points across all 9 sectors. Most importantly, the lab achieved a verifiable 99% evaluation accuracy rate, allowing them to confidently publish their GDPval results, showcase their model's real-world economic value, and secure vital enterprise partnerships.

99%
Evaluation Accuracy
2 Weeks
Turnaround Time
44
Occupations Evaluated

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1,000+
Enterprise & research customers
500
Files per day max throughput per annotator
0%
Copyright risk on collected data

What Customers Say

Evaluating our model on the GDPval benchmark was an absolute nightmare before Abaka AI. Their scholar-network of practicing professionals provided the exact domain expertise we needed to accurately score complex financial and medical outputs. The 99% accuracy rate and rapid turnaround time gave us total confidence in our final win-or-tie rates, allowing us to publish our benchmark results weeks ahead of schedule.

Director of Model EvaluationFrontier AI Lab

The sheer volume and complexity of tasks in the GDPval suite completely overwhelmed our internal team. Abaka AI stepped in and handled thousands of head-to-head human comparisons flawlessly using the Abaka Forge platform. Their segregated secure pipelines ensured our pre-release model weights and proprietary evaluation prompts remained completely confidential throughout the entire grading process.

VP of AI ResearchEnterprise Tech Company

We needed exceptionally deep reasoning audits for our coding and quantitative tasks on the GDPval benchmark. Abaka AI's STEM generalists didn't just score the final answers; they meticulously analyzed the entire Chain-of-Thought process, identifying subtle logical leaps and providing the critical RLHF feedback we needed to dramatically fine-tune our model's professional reasoning performance.

Lead Research ScientistGenerative AI Startup

Finding highly qualified human judges for industrial and automotive tasks was seemingly impossible for our team. Abaka AI gave us instant access to seasoned mechanical engineers and supply chain experts. Their rigorous head-to-head evaluations and detailed red teaming proved beyond a doubt that our embodied AI could handle real-world economic challenges safely and effectively.

Head of Autonomy EvaluationAutonomous Systems Provider

Why Choose Abaka

01

Scholar-Grade Evaluators for Complex Benchmarks

To dominate the GDPval benchmark, you need evaluators who intimately understand the 44 targeted occupations. Abaka AI bypasses low-quality crowdsourcing by deploying a massive global network of over one million verified industry professionals, including practicing doctors, lawyers, business analysts, and engineers. We ensure every complex, multimodal deliverable is meticulously scored by someone with genuine real-world domain expertise. This vertical specialization guarantees 99% accuracy in head-to-head comparisons, eliminating the noise of generalist grading while generating the high-fidelity RLHF preference data required to continually improve your foundation model's economic capabilities.

02

Transparent Pricing

Stop guessing your evaluation costs. Abaka AI offers clear, highly predictable pricing for human grading and auditing, such as Math Capabilities at $12/eval and rigorous Red Teaming at just $8/eval. You only ever pay for the expert evaluation volume you actually consume, maximizing your research budget efficiency and eliminating bloated overheads.

03

Zero IP Risk

Evaluating unreleased frontier models requires absolute trust. Abaka AI is a self-funded, highly profitable independent partner with zero VC pressure. We never build foundational models that compete with you. Your proprietary evaluation data, prompts, and model weights remain exclusively yours, strictly protected by extensive NDAs and backed by a 0% copyright risk guarantee.

04

All-in-One Platform

The Abaka Forge platform unifies your entire GDPval benchmarking pipeline. From automated Model-as-Judge pre-scoring and meticulous head-to-head human evaluation to custom RLHF data generation, everything happens seamlessly in one centralized environment. Abaka Forge makes annotation up to 50x faster through intelligent large-model automation, providing an unparalleled end-to-end solution for continuously benchmarking, tracking win-or-tie rates, and refining your frontier AI.

05

Massive Global Scale

When it's time to run a full GDPval suite, you cannot afford operational delays. We tap into a massive global workforce spanning 50+ countries, giving you instant elastic access to over 1 million specialized annotators. With a maximum throughput of 500 files per day per annotator, we effortlessly scale to evaluate massive model outputs in a matter of days, not months.

06

Uncompromising Data Security

We treat your evaluation data with the absolute highest level of security. Operating out of major hubs in Singapore, Paris, and Silicon Valley, our fully segregated pipelines are strictly SOC 2, ISO 27001, GDPR, and CCPA compliant. Whether you are sending proprietary prompts, testing complex medical scenarios, or uploading confidential financial spreadsheets for GDPval grading, our infrastructure ensures zero cross-contamination and complete protection against leaks.

Frequently Asked Questions

How much does it cost to evaluate models on the GDPval benchmark?
Our pricing for GDPval evaluation is highly transparent and based on the complexity of the occupational task. For highly specialized tasks, we charge $12/eval for Math Capabilities and $15/eval for Defensive Coding. Comprehensive Red Teaming to ensure safety across professional tasks costs just $8/eval, while Creative Writing assessments are $6/eval. Platform credits on Abaka Forge are available at $0.20 USD each, ensuring you only pay for the exact volume of expert human evaluation your benchmark testing requires.
How long does a complete GDPval benchmarking cycle take?
The timeline depends on the volume of tasks and the number of models being evaluated, but Abaka AI is built for speed. Because we have immediate access to over 1 million pre-vetted professionals, we bypass the lengthy recruitment phases that slow down internal teams. A standard high-volume benchmarking run can typically be scoped, calibrated, and completed within 2 to 3 weeks. With our annotators capable of processing up to 500 files per day, we deliver rapid win-rate updates to keep your research moving.
What types of multimodal outputs can you evaluate for GDPval?
The GDPval benchmark requires models to produce diverse, authentic work products. Our experts are fully equipped to grade a wide variety of formats using the Abaka Forge platform. We evaluate complex Text formats (like legal briefs and Markdown), detailed Image deliverables (such as slide decks and diagrams), and Video outputs (including temporal tracking). Beyond GDPval's own formats, Forge also supports 3D/4D Point Cloud and LiDAR + Camera fusion data, so related embodied AI or geospatial evaluations are assessed by qualified professionals too.
How do you ensure accuracy when grading specialized occupational tasks?
Accuracy is our top priority, and we consistently maintain a 99% accuracy rate across all benchmarking projects. We achieve this by strictly matching GDPval outputs to real-world domain experts. If a task involves a nursing care plan, it is graded by a registered nurse—not a generalist annotator. We utilize a comprehensive 6-dimension evaluation framework that assesses Factuality, Robustness, and Efficiency. Continuous QA checks and automated Model-as-Judge pre-scoring ensure that every human-assigned grade is reliable, verifiable, and completely trustworthy.
How secure is my unreleased frontier model data during evaluation?
We understand that pre-release model weights and proprietary prompts are your most valuable assets. Abaka AI guarantees uncompromising data security through strict SOC 2 and ISO 27001 certified protocols. We operate entirely segregated secure pipelines, ensuring zero cross-contamination between clients. Every evaluator within our global workforce is bound by a strict NDA. We never repurpose or share your benchmarking data, providing 0% copyright risk and total peace of mind for enterprise and research AI labs running sensitive evaluations.
Do you support multilingual evaluation for international economic tasks?
Yes, our evaluation capabilities extend far beyond English. We operate a vast global workforce spanning over 50 countries, allowing us to evaluate GDPval tasks and real-world professional deliverables in dozens of languages. Whether you need to assess multilingual text generation, translation accuracy in legal documents, or localized customer support interactions, we deploy native-speaking occupational experts. This ensures that your model's economic value is accurately proven on an international scale, capturing the precise cultural and professional nuances required for global deployment.
Why should we use Abaka AI instead of generic crowdsourcing platforms?
Generic crowdsourcing platforms simply lack the deep domain expertise required to accurately evaluate complex GDPval tasks. Grading a financial model or a mechanical engineering schematic requires years of real-world experience. Abaka AI acts as a trustworthy data partner, deploying a highly specialized scholar-network rather than unqualified gig workers. Furthermore, unlike VC-backed platforms that may pivot to building competing models, we are entirely self-funded and dedicated exclusively to providing superior human intelligence, guaranteeing 99% accuracy and zero conflict of interest.
Can we adjust our evaluation rubrics once the project has started?
Absolutely. We recognize that frontier AI research is highly dynamic, and benchmarking requirements can shift as your model evolves. Our project management teams are highly agile and accommodate change requests swiftly. If you need to introduce new safety criteria, alter the weighting in our 6-dimension framework, or refine the focus of a specific occupational task, we will rapidly recalibrate our human evaluators. The Abaka Forge platform allows for real-time rubric updates, ensuring your evaluations remain perfectly aligned with your latest research goals.
Do you offer pilot programs before we commit to a massive evaluation?
Yes, we strongly encourage starting with a targeted pilot program for complex benchmarking projects like GDPval. During a pilot, we process a focused subset of tasks—such as evaluating just one or two specific occupations—allowing you to assess the quality of our scholar-network evaluators firsthand. This initial phase helps us dial in the scoring rubrics, calibrate baseline accuracy, and demonstrate the seamless workflow of the Abaka Forge platform. Once you are fully satisfied with the win-or-tie results and reasoning audits, we scale up instantly.
Who owns the generated RLHF data and evaluation scores?
You retain 100% exclusive ownership of all evaluation scores, win-rate reports, reasoning audits, and custom RLHF data generated during the benchmarking process. Abaka AI acts purely as a trustworthy data partner; we never claim ownership of the outputs or the intellectual property associated with your tasks. Your data is never resold, shared, or used to train competing foundation models. We guarantee full IP provenance and 0% copyright risk, ensuring that your enterprise retains complete control over its proprietary AI assets.
What tools do your experts use to evaluate model outputs?
Our evaluators utilize Abaka Forge, our proprietary, all-in-one platform designed explicitly for advanced data processing and model evaluation. Forge seamlessly handles every data type—including Image, Text, Video, 3D/4D Point Cloud, and complex RLHF pipelines. It incorporates large-model automation to make annotation up to 50x faster, filtering out basic errors before they reach human judges. This integrated tooling ensures our specialized experts can efficiently conduct head-to-head comparisons, write detailed Chain-of-Thought critiques, and deliver perfectly formatted evaluation data directly to your research team.
Is there a minimum project size for running GDPval evaluations?
We support AI teams of all sizes, from agile frontier startups to massive enterprise labs. While we excel at scaling to thousands of head-to-head comparisons, we do not enforce prohibitive minimum project sizes. Whether you need a quick audit of 100 specific coding tasks or a comprehensive evaluation across all 44 occupations in the GDPval suite, we can accommodate your needs. Because our platform is based on transparent, project-based pricing—and Forge credits are just $0.20 each—you have total flexibility to scale evaluation volumes on demand.

Ready to Get Started?

Evaluate the Present. Guardrail the Future. Prove your model's real-world economic value on the GDPval benchmark today.

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