Scale Your Capability Testing With
OpenAI GDPval Evaluations

Evaluate the present and guardrail the future with expert human grading of real-world work tasks across 44 occupations, plus bias and safety audits for frontier AI models.

Relying on automated metrics alone for advanced foundation models creates severe blind spots. OpenAI's GDPval benchmark exists because real professional work is hard to score automatically: 1,320 tasks across 44 occupations, each graded by blinded experts who compare the model's deliverable with one produced by an industry professional. When expert human review is neglected, capability testing breaks down on complex, multi-step deliverables like legal briefs, financial spreadsheets and engineering plans. The cost of inaction is steep: weeks lost patching weak outputs after deployment, and trust eroded among enterprise users who demand reliable, factual work from AI agents.

To close these gaps, leading frontier labs require human intelligence that scales seamlessly alongside their automated pipelines. Abaka AI delivers expert-driven evaluation that mirrors the OpenAI GDPval protocol: occupation-matched professionals from our scholar network in 50+ countries grade your model's deliverables blind against expert work and report win-or-tie rates. Our 6-dimensional matrix for alignment, bias and red teaming can be layered on top. This integrated approach ensures 99% accuracy in human evaluation while reducing preprocessing bottlenecks, enabling your team to confidently deploy models that are both highly capable and safe.

The OpenAI GDPval Bottleneck

01

Quality Decay

Crowdsourced human evaluation often lacks the specialized domain knowledge required for complex foundation models, leading to rapid quality decay that corrupts training data. In specialized deliverables like legal briefs, financial models, or nursing care plans, generic annotators introduce noise rather than reliable signal, ultimately degrading model performance. Abaka AI solves this critical bottleneck by exclusively deploying elite scholar-network domain experts. Our meticulously vetted teams consistently achieve 99% grading accuracy on specialized occupational, multi-step reasoning, and complex capability assessments, ensuring that your OpenAI GDPval metrics remain pristine, trustworthy, and actionable even at the absolute frontier of AI development.

02

Volume Walls

Scaling manual evaluations to match the vast parameter sizes of modern LLMs creates insurmountable volume walls. Internal teams quickly max out their throughput, causing release cycles to be delayed by crucial weeks. Abaka AI leverages a massive global workforce of 1,000,000+ vertically specialized annotators across 50+ countries. With a strict maximum throughput of 500 files per day per annotator, we ensure rapid scalability without compromising precision. This massive elastic workforce allows you to process extensive OpenAI GDPval datasets efficiently, breaking through operational volume walls and reducing turnaround times from months to mere days.

03

Compliance Friction

Navigating the labyrinth of global data privacy laws introduces severe compliance friction, especially when handling sensitive prompts or proprietary model outputs. A single data leak or regulatory violation can halt a frontier model's deployment entirely. Abaka AI operates strictly under SOC 2, ISO 27001, GDPR, and CCPA frameworks, implementing segregated secure pipelines and strict NDAs. We guarantee full IP provenance and 0% copyright risk on all collected evaluation data. Your proprietary architecture and OpenAI GDPval results remain entirely secure, exclusively yours, and never repurposed, resold, or shared with competitors.

01

Comprehensive Objective Benchmark Execution

Run the OpenAI GDPval benchmark, using its open-sourced 220-task gold subset or custom GDPval-style tasks, to measure how your model performs on real professional work across 44 occupations. Our experts compare your model's documents, slides, spreadsheets and diagrams with deliverables produced by industry professionals and record whether each output is better, as good as, or worse. Using the Abaka Forge platform, we turn these blind judgments into win-or-tie rates by occupation and sector, with optional robustness and factuality checks, providing clear, quantitative metrics that guide iterative model refinement and remove guesswork from your frontier model evaluation.

02

Safety and Bias Auditing

Ensure your foundation models remain perfectly aligned with human values by conducting extensive safety and bias audits across multi-turn interactions. Our domain specialists rigorously test for unintended toxicity, demographic bias, and jailbreak vulnerabilities, complementing your OpenAI GDPval capability scores. Utilizing a comprehensive 6-dimensional evaluation framework, we meticulously assess alignment, factuality, and robustness. This proactive auditing methodology safeguards your deployment, significantly reducing brand risk and ensuring compliance with the highest ethical standards across healthcare, finance, and security industry deployments.

03

Scholar-Grade Human Evaluation

Leverage our elite network of verified scholars and industry professionals to conduct nuanced human evaluations that automated metrics frequently misinterpret. For intricate OpenAI GDPval tasks such as legal briefs, engineering blueprints, or nursing care plans, generic crowd-workers simply cannot suffice. Our subject matter experts meticulously grade multi-modal outputs, analyze chain-of-thought logic, and assess instructional following with deep domain context. This premium human-in-the-loop oversight guarantees an uncompromising 99% accuracy rate, providing unparalleled qualitative insights that drive superior model alignment and capability enhancement.

04

Advanced Model-as-Judge Validation

Accelerate your evaluation pipelines by integrating highly calibrated Model-as-Judge workflows seamlessly alongside human oversight. We configure and supervise automated LLM judges to parse massive datasets rapidly, evaluating outputs based on your specific OpenAI GDPval rubrics. Our experts continuously validate these automated judgments, correcting drift and ensuring the evaluating models maintain strict adherence to your criteria. This hybrid approach significantly reduces preprocessing time by up to 70%, offering the perfect balance of extreme elastic scalability and expert-level precision for rapid iteration cycles.

05

Adversarial Red Teaming Attacks

Expose critical vulnerabilities before they reach production with comprehensive adversarial red teaming designed for frontier foundation models. Our specialized teams simulate sophisticated attack vectors, attempting to bypass safety guardrails, extract sensitive information, or induce hallucinations within your production environments. We systematically probe multi-modal inputs, including interleaved images and text, to uncover edge-case failures. Through exhaustive adversarial testing, we fortify your model's robustness and reliability, ensuring it can withstand malicious intent and complex real-world stressors safely.

06

Agent Tool and Function Calling

Evaluate the interactive capabilities of embodied AI and digital agents by rigorously testing their tool and function calling proficiency. In agentic deployments, models must accurately invoke external APIs, retrieve dynamic information, and sequence complex actions without hallucination. We simulate diverse, realistic environments to measure interaction accuracy, usability, and sequential logic execution. Our structured evaluations ensure your autonomous agents reliably perform intricate digital tasks, bridging the gap between theoretical model reasoning and practical real-world task execution.

07

Complex Reasoning and Math

Push the boundaries of cognitive model capabilities by evaluating chain-of-thought reasoning, advanced mathematics, and complex coding scenarios. Our scholar network includes experts fluent in Lean4 and graduate-level STEM disciplines, providing unparalleled accuracy for specialized STEM assessments. We meticulously review multi-step problem-solving pathways, verifying logical coherence and factual accuracy at every node. By identifying subtle reasoning flaws that automated tests overlook, we help you cultivate models capable of true expert-level synthesis and reliable autonomous decision-making.

08

Comprehensive Multi-Modal Testing

Assess foundation models across the complete spectrum of data formats, evaluating interleaved images, sophisticated video spatial reasoning, and dynamic audio processing. As models evolve beyond pure text, our testing methodologies adapt to encompass 3D point clouds, LiDAR fusions, and high-fidelity computer vision tasks. We evaluate cross-modal understanding and generative accuracy using the all-in-one Abaka Forge platform. This ensures your multi-modal models maintain consistent context, alignment, and precision regardless of the input format or complex environmental variables.

Why Outsource OpenAI GDPval

01

Faster Delivery

Accelerate your foundation model release cycles from months to a matter of days. By utilizing our pre-vetted network of 1M+ specialized annotators and the high-performance Abaka Forge platform, we dramatically reduce operational bottlenecks, ensuring rapid turnaround for your massive OpenAI GDPval evaluations.

02

Direct Savings

Eliminate the excessive overhead of recruiting, training, and managing internal evaluation teams. With transparent per-evaluation pricing, such as $8 per red teaming eval or $15 for defensive coding, you strictly pay for delivered results, significantly optimizing your AI development budget.

03

Risk Reduction

Mitigate the catastrophic brand and regulatory risks associated with deploying misaligned models. Our rigorous human-in-the-loop oversight, combined with strict SOC 2, GDPR, and ISO 27001 compliance, guarantees zero copyright risk and ensures your OpenAI GDPval results rest on reliable expert grading.

04

Elastic Scalability

Seamlessly scale your evaluation throughput up or down based on your immediate training requirements. Whether you require continuous monitoring or massive burst capacity prior to a major model release or OpenAI GDPval run, our globally distributed workforce dynamically adjusts to your exact volume.

05

Domain Expertise

Stop relying on generic crowdsourcing for highly complex model behaviors. We deploy a verified scholar-network encompassing advanced automobile, medicine, mathematics, and law experts, ensuring that intricate OpenAI GDPval outputs are judged with the uncompromising depth of true academic and professional knowledge.

06

Innovation Velocity

Free your core engineering and research teams from tedious manual evaluations and data cleaning pipelines. By offloading complex OpenAI GDPval testing to Abaka AI, your most valuable talent can remain entirely focused on algorithm development and pushing the boundaries of frontier AI.

Industries We Serve

Automotive

We accelerate Tier-1 autonomous driving programs by providing highly precise evaluation for spatial reasoning and trajectory prediction models. Our expert annotators rigorously assess LiDAR + Camera fusion outputs against strict safety standards, and our mechanical engineers grade GDPval-style automotive engineering and manufacturing tasks.

GenAI / Foundation Models

As a trustworthy data partner for frontier labs, we provide essential red teaming, bias auditing, and model-as-judge validations. Our GDPval-style expert grading shows how often your foundation model matches or beats expert professionals on real work deliverables, from analytical reports and slide decks to complex spreadsheets.

Embodied AI / Robotics

We evaluate custom RL environments and agentic behaviors for advanced embodied AI systems. By meticulously testing spatial awareness, object manipulation sequences, and tool-calling logic under custom real-world task criteria, we ensure physical robots and digital agents operate with seamless, reliable real-world interaction capabilities.

Healthcare

Our scholar-network of medical professionals deeply evaluates clinical reasoning and diagnostic foundation models. We grade healthcare deliverables such as OpenAI GDPval's nursing care plans blind against expert work, ensuring medical AI outputs remain highly fact-based, clinically sound, and free from harmful hallucinations while adhering to strict data privacy and security mandates.

Retail

Enhance customer-facing conversational agents and visual search algorithms with extensive capability testing. We evaluate sentiment analysis, dynamic product recommendation logic, and multi-turn chatbot interactions, and grade GDPval-style retail operations tasks against expert work, ensuring retail foundation models drive engagement without hallucinating pricing or inventory data.

Finance

Protect institutional integrity by deploying comprehensively audited financial reasoning models. Our domain experts conduct aggressive red teaming and accuracy evaluations on algorithmic trading and risk assessment LLMs, and grade GDPval-style financial analyses and spreadsheets against expert work to catch logic drift and quantitative errors.

Geospatial

We rigorously evaluate foundation models tasked with processing vast satellite imagery and complex topological data. By verifying spatial correlations and predictive mapping outputs against expert-verified ground truth, we guarantee that intelligent geospatial models deliver accurate, high-fidelity insights for critical environmental and urban planning applications.

Security / Defense

Operating entirely within secure, segregated pipelines under strict NDAs, we evaluate mission-critical defense models for robustness and tactical reasoning. Our advanced adversarial red teaming identifies hidden vulnerabilities and bias, ensuring security algorithms operate with absolute reliability and precision under extreme adversarial conditions.

Agriculture / Industrial

We evaluate predictive maintenance and crop-yield forecasting models by analyzing complex multi-modal sensor inputs. Our precise expert testing ensures that industrial IoT algorithms and agricultural AI correctly interpret environmental variables, optimizing autonomous machinery performance and significantly boosting overall yield efficiency and safety.

How It Works

1) Day 0–3 — Consultation & Scope

We conduct an intensive analysis of your foundation model architecture and specific OpenAI GDPval requirements. Our technical team works alongside yours to define precise evaluation rubrics, capability benchmarks, safety guardrails, and compliance protocols, establishing a robust framework tailored perfectly to your unique frontier AI objectives.

2) Week 1–2 — Pipeline Integration

Our engineers configure the all-in-one Abaka Forge platform to seamlessly ingest your multi-modal model outputs. We establish highly secure, segregated data pipelines compliant with SOC 2 and ISO 27001 standards, subsequently onboarding and calibrating our specialized scholar-network domain experts to your explicit OpenAI GDPval criteria.

3) Week 2–3 — Pilot & Calibration

We launch an initial evaluation pilot to process a controlled sample of your foundation model data. This phase rigorously tests our human-in-the-loop accuracy and model-as-judge configurations against your OpenAI GDPval baselines. We proactively refine grading instructions and calibrate our experts to guarantee an uncompromising 99% accuracy rate.

4) Ongoing — Scaled Evaluation

With calibration completely finalized, we rapidly scale throughput to handle massive evaluation volumes. Utilizing a strict maximum of 500 files per day per annotator, we execute blind expert grading of GDPval deliverables alongside red teaming and bias auditing, delivering clear win-or-tie metrics that accelerate your iteration velocity.

5) Weekly — Review & Refine

We provide transparent, detailed weekly reporting on evaluation progress, model vulnerability trends, and overall benchmark performance. Through continuous feedback loops, we dynamically adjust our OpenAI GDPval testing methodologies to address newly discovered model capabilities, ensuring our evaluation perfectly matches the evolving frontier of your AI.

Modality & Format Coverage

Abaka Forge delivers uncompromising support across every major data format. Our platform seamlessly orchestrates complex OpenAI GDPval processes, providing the specialized tools necessary to evaluate frontier AI capabilities meticulously across diverse modalities.

ModalityAnnotation TypesToolsOutput Formats
TextSentiment Analysis, Factuality Audits, Jailbreak Testing, Chain-of-Thought GradingAbaka ForgeJSON, JSONL, CSV, Parquet
LLM RLHFMulti-turn Ranking, Tool Calling Validation, Safety Red TeamingAbaka ForgeJSONL, HuggingFace Dataset, Parquet
ImageInterleaved Reasoning, Bounding Boxes, Dense Captioning, Visual QAAbaka ForgeCOCO, Pascal VOC, JSON, TFRecord
VideoSpatial Reasoning, Temporal Tracking, Action RecognitionAbaka ForgeMP4 segments, JSON, CSV, CVAT
3D/4D Point CloudEmbodied AI Scene Segmentation, Object Tracking, VR MappingAbaka ForgePCD, JSON, OBJ, PLY
LiDAR + Camera fusionSensor Alignment, Lane Detection, 3D Bounding BoxesAbaka ForgeJSON, ROS Bag extracts, CSV
AudioMulti-lingual Transcription, Speaker Diarization, Sentiment AuditingAbaka ForgeWAV, MP3, TextGrid, JSON

Success Story

A frontier model lab scaling multi-modal capabilities

A frontier model lab faced critical bottlenecks while attempting to benchmark their advanced reasoning model on OpenAI GDPval. Their internal engineering team was entirely overwhelmed by the sheer volume of multi-file deliverables requiring nuanced expert grading. Existing crowdsourced platforms consistently failed to accurately judge complex financial models, legal drafts and sophisticated code, resulting in unreliable scores and severe blind spots that threatened to delay their flagship foundation model release by several crucial months.

The lab partnered with Abaka AI to completely overhaul their evaluation pipeline. We immediately deployed a dedicated cohort of 500 verified scholar-network experts matched to the occupations in scope, from financial analysts to software developers. Utilizing the unified Abaka Forge platform, we established secure, high-throughput workflows calibrated to the OpenAI GDPval grading protocol and the lab's own rubrics. We integrated human-in-the-loop oversight with automated model-as-judge methodologies to comprehensively audit factual precision, identify subtle logical drift, and execute exhaustive adversarial red teaming.

The implementation of our specialized evaluation framework eliminated their operational bottleneck almost instantly. By offloading complex capability testing to Abaka AI, the lab achieved a 70% reduction in preprocessing and evaluation time, successfully recovering their original launch schedule. Our scholar experts maintained an impeccable 99.4% accuracy rate across thousands of intricate multi-modal tasks, ensuring trustworthy OpenAI GDPval win-or-tie rates. Ultimately, the lab deployed their frontier model with absolute confidence, free from copyright risks and entirely validated for enterprise-grade safety.

70%
preprocessing time reduction
99%
grading accuracy on expert tasks
0%
copyright risk on collected data

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1,000+
enterprise/research customers globally
1M+
vertically specialized annotators in 50+ countries
50x
faster pipelines via large-model automation

What Customers Say

Relying on Abaka AI for our OpenAI GDPval benchmarking has completely transformed our deployment cycle. Their scholar-network seamlessly handled specialized legal, financial and engineering deliverables that broke traditional crowdsourcing platforms. The level of human intelligence they provide is absolutely unparalleled in the foundation model space.

Director of Applied MLFrontier LLM Lab

Scaling our adversarial red teaming was our biggest challenge until we integrated Abaka Forge. Their experts meticulously probed our model's guardrails while their GDPval-style graders tracked real-world task quality. Delivering a 99% accuracy rate on complex safety audits gave us the confidence to launch securely to our enterprise users.

Head of AI SafetyEnterprise AI Startup

We needed a trustworthy data partner capable of deeply understanding clinical logic for our medical LLM. Abaka AI provided domain specialists who rigorously graded outputs against expert-written clinical deliverables, OpenAI GDPval-style, drastically reducing our time-to-market while guaranteeing zero copyright risk and absolute data security.

Lead Research ScientistHealthcare Tech Provider

The elastic scalability Abaka offers is incredible. When we needed a massive surge in model-as-judge validation prior to a major release, they delivered flawlessly. Their deep expertise in grading complex work deliverables on OpenAI's GDPval tasks makes them a critical extension of our core team.

VP of EngineeringGenerative AI Platform

Why Choose Abaka

01

Elite Scholar-Network for Complex Evaluation

Generalist crowdsourcing falls apart when evaluating advanced foundation models. Abaka AI exclusively deploys a massive, globally distributed network of over 1 million vertically specialized annotators, including graduate-level experts in STEM, Medicine, and Law. This elite workforce meticulously grades OpenAI GDPval deliverables, ensuring that legal briefs, financial models, code, and other specialized work products are graded with an uncompromising 99% accuracy. We provide the genuine human intelligence required to push the frontier of AI capabilities safely.

02

Robust Compliance & Security

We operate strictly under SOC 2, ISO 27001, GDPR, and CCPA frameworks. Your sensitive OpenAI GDPval data is processed within entirely segregated, secure pipelines guarded by strict NDAs, ensuring complete IP provenance and zero copyright risk.

03

Transparent Real Pricing

Eliminate budgetary guesswork with our straightforward, per-unit pricing. Whether it is $8 per Red Teaming eval or $15 for Defensive Coding, you pay exclusively for precisely executed, high-quality evaluations with zero hidden overhead.

04

All-In-One Abaka Forge Platform

Streamline your entire evaluation pipeline utilizing Abaka Forge. Our proprietary platform seamlessly integrates data collection, cleaning, and model-as-judge annotations. By utilizing powerful large-model automation, we execute your custom OpenAI GDPval processes up to 50x faster, ensuring massive scalability without sacrificing rigorous quality control.

05

Unconflicted Trust Partner

We are completely self-funded and profitable, meaning we face zero external VC pressures. We never build models that compete with our clients. Your OpenAI GDPval data remains exclusively yours—never repurposed, resold, or shared, establishing us as the ultimate trustworthy data partner for frontier AI.

06

Comprehensive 6-Dimensional Evaluation Matrix

Go beyond basic benchmarks with our exhaustive evaluation framework designed for advanced foundation models. We systematically audit your AI across six distinct dimensions: Accuracy & Precision, Robustness, Efficiency, Safety & Bias, Tool Calling, and User Interaction. By pairing this sophisticated matrix with OpenAI GDPval's real-work grading, we uncover hidden vulnerabilities and assure that your multi-modal models are meticulously aligned, factually grounded, and entirely secure prior to broad enterprise deployment.

Frequently Asked Questions

How much does it cost to evaluate models using the OpenAI GDPval framework?
Abaka AI offers highly transparent, direct per-evaluation pricing tailored to the complexity of the task, completely eliminating hidden overhead. For advanced foundation model benchmarking, we charge $12 per Math Capabilities eval, $8 per Red Teaming eval, $15 for Defensive Coding, and $6 for Creative Writing evaluation. If you require specialized human annotators, our LLM Math/Coding experts are available at $18/hr, while STEM Generalists operate at $12/hr. Platform credits for automated Abaka Forge workflows are consistently priced at $0.20 USD each.
How quickly can you scale an OpenAI GDPval project?
We are built for extreme elastic scalability. Following our initial 3-day consultation and secure pipeline integration phase, we seamlessly launch a fully calibrated pilot within the first two weeks. Once grading rubrics are refined, we leverage our global workforce of 1M+ specialized annotators to immediately scale throughput. We cap individual annotator volume at 500 files per day to maintain pristine quality, but our massive network allows us to grade large volumes of OpenAI GDPval deliverables in just weeks, cutting preprocessing time by up to 70%.
Which data modalities and formats do you support for evaluation?
Abaka Forge supports comprehensive 360° real-world capture and evaluation across all major data types. Beyond the documents, slides, spreadsheets and diagrams that OpenAI GDPval tasks require, we seamlessly process Text, Image, Video, Audio, LLM RLHF, 3D/4D Point Clouds, and LiDAR + Camera fusion. We export pristine, evaluated data directly into your preferred formats, including JSON, Parquet, CSV, COCO, HuggingFace Datasets, and TFRecord, ensuring immediate and seamless integration with your existing training and alignment pipelines.
How do you ensure 99% accuracy in human evaluation?
Generalist crowdsourcing cannot accurately judge frontier models. We exclusively utilize a vetted scholar-network comprising advanced domain experts in medicine, law, advanced mathematics, and complex coding. During OpenAI GDPval projects, every deliverable and multi-modal output is meticulously audited by subject matter experts from the matching occupation rather than generic workers. We combine this premium human intelligence with continuous automated model-as-judge calibrations, identifying and correcting drift instantly to maintain an uncompromising 99% accuracy rate across all complex capabilities.
How secure is my proprietary model data during evaluation?
Data security is the cornerstone of our operation. Abaka AI is fully compliant with SOC 2, ISO 27001, GDPR, and CCPA mandates. All OpenAI GDPval processes are executed within strictly segregated, highly secure data pipelines protected by comprehensive NDAs. We provide full IP provenance and guarantee a 0% copyright risk on all collected evaluation data, ensuring your proprietary foundation model architecture and user prompts remain completely insulated from external threats or leaks.
Can you perform OpenAI GDPval testing in multiple languages?
Absolutely. Our globally distributed workforce spans over 50 countries, granting us native-level linguistic fluency and deep cultural context across a vast array of global languages. Whether you require GDPval-style tasks localized into other languages, multi-lingual sentiment auditing, or localized red teaming, our experts ensure your foundation models are accurately evaluated. We help ensure your international rollouts hold up to expert scrutiny without suffering from regional biases or subtle translational hallucinations.
How does Abaka AI differ from standard data labeling platforms?
Unlike traditional platforms that rely on untargeted gig-workers, Abaka AI acts as a trustworthy data partner exclusively focused on frontier AI. We are completely self-funded, profitable, and face zero VC acquisition pressure. Most importantly, we never build models that compete with our clients. Your OpenAI GDPval insights are uniquely yours—never repurposed or resold. Furthermore, our exclusive deployment of elite scholar-network experts ensures we can evaluate graduate-level reasoning and complex safety protocols that standard labelers simply cannot comprehend.
Can we adjust our evaluation rubrics after the project begins?
Yes, frontier AI development requires dynamic adaptability. We implement agile, weekly review cycles throughout all our OpenAI GDPval engagements. If your foundation model demonstrates unexpected emergent capabilities or entirely new adversarial vulnerabilities, we work directly with your engineering team to swiftly update grading instructions and safety guardrails. We immediately re-calibrate our dedicated annotator teams and Abaka Forge automation pipelines, ensuring your evaluations remain perfectly aligned with your rapidly evolving project scope.
Do you offer a pilot program before scaling up?
Yes, every comprehensive OpenAI GDPval engagement includes a rigorous pilot and calibration phase during weeks 2 and 3. We ingest a controlled sample of your foundation model outputs and meticulously test our human-in-the-loop accuracy against your specific safety and capability baselines. This crucial step allows us to refine evaluation rubrics proactively, establish robust data pipelines, and prove our exceptional 99% accuracy rate to your team before scaling up to massive production volumes.
Who owns the data generated during the evaluation process?
You retain absolute 100% ownership of all outputs, insights, and datasets generated during your OpenAI GDPval project. Abaka AI guarantees full IP provenance and actively mitigates any copyright risks. Because we operate entirely independently and without competing model ambitions, your proprietary benchmarks and red teaming vulnerabilities are exclusively yours. They are never repurposed, resold, or shared with external entities, ensuring your competitive advantage in the frontier AI space remains strictly protected.
Do I need to provide my own evaluation software?
No, you do not need to provide external software, though we can integrate with your tools if preferred. We provide complete access to the all-in-one Abaka Forge platform. This proprietary system seamlessly orchestrates data collection, rigorous cleaning, complex model-as-judge automation, and detailed human evaluation workflows. Utilizing large-model automation, Abaka Forge accelerates OpenAI GDPval processes by up to 50x while effortlessly handling multi-modal formats like Video, 3D Point Clouds, and LLM RLHF seamlessly.
Is there a minimum project size for your evaluation services?
We are highly flexible and structure engagements to support both targeted benchmark validations and massive continuous evaluation pipelines. Whether you need a short-term, project-based team for an immediate OpenAI GDPval audit prior to a major release, or long-term embedded talent to manage ongoing red teaming and capability testing, we adapt to your specific requirements. Reach out to our technical team to discuss your exact volume needs, and we will architect a customized, cost-effective solution.

Ready to Get Started?

Evaluate the Present. Guardrail the Future. Partner with Abaka AI to execute uncompromising OpenAI GDPval assessments and scale your frontier foundation models safely.