Keep Pace with the Latest
OpenAI GDPval News

As frontier models take on real-world economic tasks, evaluating them requires deep professional expertise—not just multiple-choice exams.

With OpenAI GDPval News making headlines since the benchmark's September 2025 launch, it is clear that frontier AI development has shifted from academic testing to real-world economic tasks. Models are no longer evaluated just on multiple-choice exams; they are expected to produce professional deliverables like legal briefs, slide decks, and financial spreadsheets. If your evaluation pipeline is stuck on legacy synthetic benchmarks, you risk launching models that fail in actual enterprise environments. Inaccurate evaluations can set your roadmap back by weeks, while failing to capture the nuance of a multi-hour professional workflow leaves millions of dollars in potential enterprise adoption on the table.

Abaka AI helps you stay ahead of the curve established by the latest OpenAI GDPval News. We provide human-led, expert-level model evaluation frameworks that mirror the most demanding economic tasks across top GDP-contributing industries. By pairing your models with our vetted scholar-network of experienced domain professionals, we deliver meticulous, head-to-head human evaluation. Whether it is assessing complex reasoning or professional formatting, our secure, SOC 2 and ISO 27001 compliant platform ensures your AI capabilities are rigorously tested, graded, and refined for the modern workforce.

The Economic Evaluation Bottleneck

01

Quality Decay

Standard benchmarks fail to capture the complexity of tasks highlighted in recent OpenAI GDPval News. When evaluating multi-step enterprise deliverables like financial models or legal memos, low-tier annotators lack the domain expertise to assess nuanced accuracy, sharply reducing evaluation signal quality. Without professionals who understand the subtle requirements of a high-value business task, standard grading deteriorates into surface-level checks. This quality decay means models might pass basic tests but completely fail in real-world deployment, frustrating users and destroying trust in your frontier AI capabilities.

02

Volume Walls

Scaling expert-level evaluations is notoriously difficult. As OpenAI GDPval News indicates, real-world tasks can take a single human expert many hours to complete and grade. Attempting to run thousands of these evaluations internally hits immediate volume walls. Engineering teams end up spending a large share of their time sourcing subject matter experts rather than training the model. You need a partner capable of deploying hundreds of domain-specific professionals simultaneously, processing thousands of complex deliverable evaluations per week without slowing down your iterative model release cycles.

03

Compliance Friction

Enterprise evaluation tasks require handling highly sensitive, real-world professional data. Reviewing actual work products like business plans or medical guidelines introduces massive compliance friction if data privacy isn't guaranteed. Sending proprietary deliverables to unverified crowdsourcing platforms creates unacceptable intellectual property and copyright risks. To safely build evaluations that rival the scope seen in OpenAI GDPval News, your pipelines must strictly adhere to SOC 2 and ISO 27001 standards, ensuring 100% data provenance and fully segregated environments so that no sensitive context is ever leaked or mishandled.

01

Evaluating Accuracy and Precision in AI

Reflecting the rigorous standards highlighted in recent OpenAI GDPval News, our evaluation pipelines meticulously measure accuracy and precision for real-world tasks. We assess how well frontier models generate professional deliverables, from legal briefs to complex STEM QAs. Using our scholar-network domains—spanning Mathematics, Medicine, and Law—we conduct head-to-head human evaluations to ensure your model outputs meet expert-level standards. This minimizes hallucinations and ensures that AI-generated work products deliver high economic value without compromising on factual correctness or detail.

02

Testing Robustness and Reliability

As AI takes on critical economic tasks, testing for robustness and reliability becomes paramount. We stress-test models across varied prompts, edge cases, and complex task contexts that simulate multi-hour human workflows. Our evaluators check for consistent performance in long-form generation, formatting stability, and resilience against ambiguous instructions. By measuring these dimensions, we ensure that your AI solutions do not break down when faced with the messy, unstructured realities of enterprise environments, guaranteeing a reliable product deployment.

03

Efficiency and Scalability Evaluations

Frontier models must not only be smart; they must be highly efficient. We evaluate models based on their efficiency and scalability when processing multi-step tasks across industries like Retail and Automotive. Drawing inspiration from the insights found in OpenAI GDPval News, our experts measure the time-to-completion and the computational efficiency of generating deliverables like slide decks or code bases. We provide actionable feedback that helps your engineering teams optimize inference costs while maintaining near-human expert quality at scale.

04

Comprehensive Safety and Bias Audits

A model performing economically valuable work must be fundamentally safe and unbiased. We deploy extensive red-teaming protocols across our two-axis LLM matrix, evaluating Alignment, Bias, Factuality, and Values. Our experts review outputs for subtle occupational biases across the 44 occupations tracked in economic benchmarks. By rigorously auditing your models, we help you mitigate regulatory risks and ensure that your AI systems adhere to strict enterprise safety standards, fostering trust among end-users and corporate stakeholders.

05

Tool and Function Calling Assessment

Modern economic tasks rarely happen in isolation; they require interaction with external software. We evaluate your model's ability to seamlessly execute tool and function calling. Our experts test scenarios where the AI must pull data from spreadsheets, format documents, or query databases to produce a cohesive final deliverable. This ensures that your foundation models can operate effectively as agents within a broader software ecosystem, significantly boosting their practical utility and alignment with the capabilities discussed in OpenAI GDPval News.

06

User Interaction and Usability Testing

The ultimate test of a model's value is how well it interacts with human professionals. Our Human Evaluation methods assess user interaction and usability, focusing on aesthetics, formatting, and the nuance of professional communication. We grade customer support conversations, nursing care plans, and business reports on their clarity and presentation. By ensuring that your AI not only gets the facts right but also communicates them in an industry-standard format, we help you achieve the deliverable quality expected by enterprise clients.

07

Evaluating Multimodality and Generation

As tasks shift from pure text to comprehensive professional deliverables, multimodality becomes critical. We benchmark your models across interleaved images, text, and data structures. Our teams evaluate how well an AI can synthesize a visually appealing slide deck from a dense financial report, or accurately describe a medical diagram. We leverage our network of professionals to judge these multimodal outputs head-to-head, ensuring that your models are fully equipped to handle the diverse formats demanded by real-world knowledge work.

08

Implementing Model-as-Judge Frameworks

To accelerate your iteration cycles, Abaka AI designs and calibrates Model-as-Judge evaluation frameworks. While human experts provide the gold standard for assessing OpenAI GDPval News related tasks, automated grading is essential for scale. We use our meticulously curated human data to train and align your automated judges. This dual approach—combining our 99% accurate human baselines with scalable Model-as-Judge techniques—enables you to rapidly test thousands of real-world tasks without sacrificing the deep domain expertise required to spot subtle professional errors.

Why Outsource OpenAI GDPval News

01

Faster Delivery

Building a benchmark that reflects the complexity of OpenAI GDPval News internally takes months of sourcing and validation. By outsourcing to Abaka AI, you bypass this entirely. We provide immediate access to pre-vetted domain experts across 50+ countries. Our Abaka Forge platform automates the workflow, enabling you to launch expert-level model evaluations 50x faster and stick to your aggressive release schedules without compromising on quality.

02

Direct Savings

Hiring in-house professionals to evaluate complex economic tasks is prohibitively expensive. We offer transparent, highly competitive per-evaluation pricing—such as Defensive Coding at $15/eval or Creative Writing at $6/eval. This eliminates the overhead of full-time salaries, benefits, and management for niche experts. You only pay for the exact volume of high-quality human oversight your frontier model requires.

03

Risk Reduction

Evaluating enterprise-grade AI models on real-world deliverables introduces significant compliance and intellectual property risks. Our infrastructure is fortified with SOC 2, ISO 27001, GDPR, and CCPA compliance. We operate under strict NDAs in segregated, secure pipelines. Partnering with a trustworthy data partner for frontier AI guarantees 0% copyright risk and full IP provenance, protecting your most valuable models.

04

Elastic Scalability

Model evaluation workloads are inherently spiky, especially leading up to a major release. Abaka AI offers elastic scalability through on-demand custom capture pods and a vast network of 1M+ vertically specialized annotators. Whether you need a handful of specialized legal evaluations or thousands of head-to-head comparisons overnight, we scale our expert workforce up or down instantly to meet your precise demand.

05

Domain Expertise

Multiple-choice benchmarks fall short of evaluating real economic value. We supply scholar-network professionals with deep domain expertise in fields like Automobile, Medicine, Law, and Mathematics. Our evaluators possess the nuanced knowledge necessary to grade complex reasoning, Lean4 mathematics, and intricate professional deliverables, ensuring your AI meets the stringent quality bars highlighted in the latest OpenAI GDPval News.

06

Innovation Velocity

When your engineering team is freed from the burden of managing crowdsourced evaluators, they can focus entirely on algorithmic breakthroughs. Outsourcing your grading and alignment tasks to Abaka AI removes the operational drag of data collection. We deliver pre-filtered, curated, timestamped, and tagged evaluation data, reducing your preprocessing time by 70% and drastically accelerating your overall innovation velocity.

Industries We Serve

Automotive

We evaluate frontier models designed for the automotive sector, assessing their ability to generate precise engineering blueprints, parse complex safety regulations, and analyze intricate telemetry data. By leveraging industry experts who deeply understand the nuances of the automotive field, we ensure that AI models supporting autonomous driving programs or large-scale automotive manufacturing meet the strict reliability, compliance, and safety standards required for real-world enterprise deployment.

GenAI / Foundation Models

For labs building the next generation of foundation models, we provide the gold-standard evaluations necessary to meticulously measure capabilities across diverse knowledge work. Inspired by the demanding economic frameworks mentioned in recent OpenAI GDPval News, we conduct head-to-head human comparisons on advanced reasoning, strict instruction following, and highly nuanced creative writing to ensure your GenAI models are genuinely pushing the boundaries of real-world economic utility.

Embodied AI / Robotics

We evaluate models powering embodied agents by rigorously testing their spatial reasoning and multi-step task execution in complex scenarios. Our experts assess how well AI interprets physical environments through interleaved video and 3D point cloud data, meticulously grading the agent's ability to plan and act safely. This comprehensive benchmarking ensures your robotics solutions can reliably perform intricate, economically valuable tasks in real-world industrial environments.

Healthcare

In the healthcare sector, AI must exhibit flawless accuracy when assisting with sensitive tasks like drafting nursing care plans, interpreting medical diagnostics, or structuring clinical trial reports. We deploy vetted medical professionals from our scholar-network to rigorously evaluate model outputs. Operating strictly within our SOC 2 and ISO 27001 compliant environments, we ensure your healthcare models are safely and accurately benchmarked against the highest expert-level clinical standards.

Retail

Retail AI models must seamlessly handle critical tasks ranging from demand forecasting spreadsheets to complex customer support conversations and dynamic pricing strategies. We evaluate these models on their ability to consistently generate accurate, formatting-perfect deliverables that drive daily retail operations. Our human evaluators carefully assess the commercial viability and aesthetic quality of the outputs, ensuring the AI can effectively augment traditional retail workflows.

Finance

Financial models require an unparalleled level of precision and domain understanding. We extensively test your AI's capability to process complex numerical data, generate compliant earnings reports, and perform rigorous risk assessments. Using dedicated financial experts from our scholar-network to grade the outputs, we ensure that models evaluated on OpenAI GDPval News-style benchmarks can reliably execute the intricate, high-stakes knowledge work fundamental to modern global finance.

Geospatial

Geospatial AI is rapidly transforming urban planning, global logistics, and environmental monitoring. We evaluate these specialized models on their ability to interpret complex spatial data, dense satellite imagery, and dynamic environmental variables. Our domain experts rigorously grade the generated analytical reports and maps, verifying that your geospatial AI provides highly accurate, immediately actionable insights for economically significant infrastructure and logistics projects.

Security / Defense

Evaluating AI for security and defense applications requires uncompromising safety, factuality, and robustness checks. We utilize our comprehensive 6-dim framework and specialized red-teaming experts to audit model outputs for subtle vulnerabilities, bias, and operational reliability. Operating exclusively in fully segregated secure pipelines, we provide the highly confidential, rigorous human oversight necessary for mission-critical defense deployments and sensitive intelligence operations.

Agriculture / Industrial

For industrial and agricultural applications, AI must intelligently optimize supply chains, predict heavy equipment maintenance, and thoroughly analyze crop yields. We benchmark models on their ability to synthesize vast amounts of sensor data and generate actionable operational plans. Our expert human evaluations ensure that the AI driving your industrial automation delivers tangible economic value and maximum operational efficiency directly in the field.

How It Works

1) Day 0–3 — Scoping & Calibration

We begin by deeply understanding your specific evaluation goals, especially if you are aiming to track metrics akin to those highlighted in recent OpenAI GDPval News. Our team works with you to define the multi-step professional deliverables, establish our comprehensive 6-dim evaluation framework, and select the precise scholar-network domain experts required. We set up the secure data pipelines and calibrate the initial grading rubrics to ensure our evaluators perfectly align with your rigorous standards.

2) Week 1–2 — Expert Onboarding

Once the rubrics are calibrated, we deploy our vetted network of industry professionals. Depending on the complexity of your evaluation tasks, we assign experts in Mathematics, Law, or Business. These professionals undergo extensive training on your specific instructions and grading criteria. We process pilot evaluations through the Abaka Forge platform, gathering early feedback and refining the model-as-judge baselines to ensure complete alignment before scaling the workload.

3) Week 2–3 — Full Evaluation Execution

With the experts fully aligned, we ramp up the evaluation volume. Our professionals conduct detailed, head-to-head human evaluations on your frontier model outputs, assessing everything from creative writing aesthetics to defensive coding accuracy. The Abaka Forge platform automates the workflow, enabling our teams to efficiently grade hundreds of multi-hour deliverables. You receive pre-filtered, curated, and timestamped evaluation data that provides immediate, actionable feedback.

4) Ongoing — Continuous Benchmarking

As your foundation models iterate, our evaluations scale elastically to keep pace. We maintain custom capture pods of dedicated experts who continuously stress-test your new checkpoints. By continuously updating the tasks to reflect the evolving nature of real-world knowledge work, we ensure your model's capabilities consistently improve over time, matching or exceeding the expert-level baselines required for enterprise adoption.

5) Weekly — Review & Refinement

Throughout the engagement, we hold weekly synchronization meetings to review the evaluation metrics and refine our approach. We analyze the two-axis LLM matrix results, discussing improvements in Alignment, Bias, and Factuality. This tight feedback loop allows your engineering team to rapidly adjust training parameters, reducing preprocessing time by 70% and accelerating your path to deploying highly capable, economically valuable frontier AI.

Modality & Format Coverage

Abaka AI supports comprehensive model evaluations across all major data types. Whether testing an agent's reasoning in text or its spatial understanding in 3D, our Abaka Forge platform ensures precise, scalable benchmarking for any professional deliverable.

ModalityAnnotation TypesToolsOutput Formats
TextCreative Writing Eval, Multi-layer QA, Legal Brief GradingAbaka ForgeJSON, CSV, Annotated Docs
LLM RLHFHead-to-head Comparison, Red Teaming, Factuality ChecksAbaka ForgeRankings, Reward Models, JSONL
ImageDense Captioning, Interleaved Image QA, Visual ReasoningAbaka ForgeCOCO, YOLO, Multi-modal JSON
VideoVideo Spatial Reasoning, Temporal Action TaggingAbaka ForgeTimestamped JSON, MP4 Metadata
3D/4D Point Cloud3D Indoor Scene QA, Object Tracking, Embodied AI SpatialAbaka ForgePCD, Semantic Segmentation Maps
LiDAR + Camera fusionSensor Alignment QA, Autonomous Driving lanesAbaka ForgeFused JSON, ROS Bags
AudioMultilingual TTS Eval, Speech-to-Text GradingAbaka ForgeWAV, Transcripts, JSON

Success Story

A frontier model lab

A frontier model lab was building a next-generation AI aimed at automating complex enterprise knowledge work. Inspired by the benchmarks discussed in OpenAI GDPval News, they needed to evaluate their model’s ability to generate professional deliverables like multi-tab financial spreadsheets and comprehensive project plans. Traditional multiple-choice tests failed to capture the nuances of these tasks. They required head-to-head human evaluations performed by real industry experts, but building this infrastructure internally was too slow, expensive, and carried massive IP risks for their proprietary model checkpoints.

The lab partnered with Abaka AI to leverage our scholar-network of domain experts. Using our secure, SOC 2-compliant Abaka Forge platform, we deployed hundreds of vetted professionals with deep domain experience in business and finance. We instituted a 6-dim framework to rigorously test the model's accuracy, tool calling, and formatting aesthetics. Our evaluators conducted detailed, multi-hour grading sessions, providing the granular feedback necessary to accurately measure the AI’s performance against real-world economic task baselines.

The partnership completely transformed their evaluation pipeline. By offloading the complex grading tasks to our experts, the lab reduced their preprocessing and data collection time by 70%. We successfully delivered thousands of head-to-head expert comparisons within just three weeks, operating with 99% accuracy. This robust, continuous feedback loop enabled their engineering team to rapidly align the model, significantly improving its reasoning and instruction-following capabilities, ultimately resulting in a highly successful, enterprise-ready model launch.

99%
Evaluation accuracy by domain experts
70%
Preprocessing time reduction
3 Weeks
To deliver thousands of expert comparisons

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1,000+
Enterprise & research customers
1M+
Vertically specialized annotators & evaluators
50+
Countries providing diverse professional expertise

What Customers Say

Evaluating our model's performance on real economic tasks was an insurmountable challenge until we partnered with Abaka AI. Their scholar-network of professionals provided the deep domain expertise we needed to accurately grade complex deliverables, mirroring the rigorous standards seen in recent industry news. The detailed feedback loop accelerated our model's readiness for enterprise deployment significantly, saving us months of internal effort.

Head of Model EvaluationFrontier AI Lab

Standard benchmarks were giving us a false sense of security. Abaka AI’s rigorous 6-dim evaluation framework exposed subtle flaws in our tool calling and reasoning capabilities. Having real doctors and lawyers evaluate our AI outputs ensured that we released a product we could genuinely trust in high-stakes environments.

Director of Applied MLEnterprise AI Provider

The sheer scale at which Abaka AI can deploy specialized professionals is unmatched. We needed thousands of head-to-head human comparisons on highly technical STEM questions within weeks to finalize our model training. They delivered the evaluations with 99% accuracy, all while maintaining strict SOC 2 compliance and completely protecting our proprietary IP. It was exactly the partnership we needed.

Lead Research ScientistLeading Tech Corporation

We were spending 70% of our engineering time just trying to source subject matter experts to review our model’s outputs. Abaka Forge automated the entire workflow, giving us instant access to a global workforce of professionals. Our innovation velocity has skyrocketed since we offloaded this massive bottleneck to their capable team.

VP of EngineeringGlobal Robotics Company

Why Choose Abaka

01

Your Data is Exclusively Yours

We never build models that compete with you, ensuring that your proprietary evaluation datasets remain completely confidential. When benchmarking highly valuable economic tasks, intellectual property protection is paramount. Your data is never repurposed, resold, or shared across other client projects. As a self-funded and profitable company with zero venture capital or acquisition pressure, we prioritize long-term trust over short-term gains. You retain full IP provenance, guaranteeing a 0% copyright risk on all collected and graded data, making us the most trustworthy partner for frontier AI.

02

Strict Compliance

Enterprise evaluations require enterprise-grade security, especially when handling sensitive professional deliverables. We operate fully under SOC 2, ISO 27001, GDPR, and CCPA compliance. All of our human evaluation workflows take place within segregated, secure data pipelines governed by strict NDAs, ensuring your proprietary model checkpoints and data are always protected.

03

Scholar-Network Experts

Generalist annotators simply cannot grade complex professional tasks effectively. We provide a vast global network of highly specialized experts spanning domains like Mathematics, Law, Medicine, and Business. These vetted professionals possess the deep domain knowledge required to accurately evaluate multi-hour enterprise deliverables, ensuring a flawless 99% signal accuracy for your most demanding foundation model benchmarks.

04

Abaka Forge Platform

Evaluating real-world economic tasks at scale requires powerful tooling. The Abaka Forge platform is an all-in-one solution that seamlessly handles data collection, cleaning, and complex human annotation. By leveraging large-model automation to streamline the grading process, we help you complete evaluations up to 50x faster. You can efficiently manage thousands of complex deliverables without slowing down.

05

Comprehensive 6-Dim Framework

We evaluate models across a rigorous 6-dim framework covering Accuracy, Robustness, Efficiency, Safety, Tool Calling, and Usability. By mapping these dimensions across our two-axis LLM matrix of Alignment, Bias, Factuality, and Values, we provide a holistic view of your AI's capabilities. This thorough assessment ensures your models are fully prepared for the complex realities of the modern digital workforce.

06

Transparent and Scalable Engagement

We offer flexible, project-based or long-term embedded talent engagements tailored to your release cycles. Whether you need on-site algorithm development support or on-demand custom capture pods, we adapt to your needs. Our pricing is transparent and highly competitive, ensuring you get maximum ROI on your evaluation budget. Partner with us to scale your benchmarking efforts globally across 50+ countries without the logistical headache of managing a massive crowdsourced workforce.

Frequently Asked Questions

How much does it cost to evaluate models on complex professional tasks?
Our pricing is highly transparent and based strictly on the required level of domain expertise, ensuring you only pay for the quality you need. For example, evaluating Defensive Coding tasks costs $15/eval, Red Teaming is $8/eval, Creative Writing is $6/eval, and assessing Math Capabilities is $12/eval. We also offer standard LLM Math/Coding annotation at $18/hr and STEM Generalist support at $12/hr. This per-evaluation or hourly model provides highly competitive rates compared to hiring full-time internal experts, keeping your budget fully optimized.
How long does it take to set up and complete these evaluations?
We move exceptionally fast to keep pace with frontier AI development. Initial scoping and rubric calibration typically take just Day 0–3. By Week 1–2, we have onboarded and aligned our scholar-network experts to your specific tasks. Full evaluation execution begins by Week 2–3, allowing us to deliver thousands of head-to-head expert comparisons in as little as three weeks. We also maintain ongoing, on-demand capture pods to continuously stress-test your models as you iterate, ensuring zero delay in your aggressive release schedules.
What modalities and deliverable formats do you support?
The Abaka Forge platform is built to handle all major data types necessary for evaluating real-world economic tasks. We comprehensively cover Text, Image, Video, Audio, 3D/4D Point Cloud, and LiDAR + Camera fusion. Our output formats are entirely customizable to fit your pipeline, ranging from annotated JSON and CSV documents to multi-modal COCO formats, timestamped MP4 metadata, and ROS Bags. Whether your AI is generating a complex financial spreadsheet or spatial video reasoning, we capture and grade the outputs seamlessly.
How do you ensure the accuracy of complex economic task evaluations?
Standard annotators struggle with tasks highlighted in OpenAI GDPval News. To guarantee a 99% accuracy rate, we exclusively deploy our scholar-network of professionals—including doctors, lawyers, and engineers—who possess deep, specialized domain knowledge. Our robust QA process involves a multi-layer review system, head-to-head human comparisons, and strict adherence to our 6-dim evaluation framework. Furthermore, our evaluators max out at 500 files per day to prevent fatigue, ensuring every complex deliverable receives the meticulous, expert scrutiny it deserves.
How do you secure highly sensitive, proprietary model outputs?
Security and intellectual property protection are our top priorities. We operate completely within SOC 2 and ISO 27001 certified environments, ensuring strict compliance with GDPR and CCPA regulations. All evaluations are conducted in fully segregated secure pipelines under stringent NDAs. Your proprietary model checkpoints and the generated professional deliverables are never exposed to public crowdsourcing platforms. With Abaka AI, you maintain full IP provenance and benefit from a 0% copyright risk on all data handled by our experts.
Can you evaluate models on tasks in languages other than English?
Absolutely. Real-world economic value is global, and your models must reflect that. We source our specialized evaluators from over 50+ countries, allowing us to conduct rigorous model evaluations and benchmarking across dozens of languages. From assessing Multilingual TTS at $7/hr to grading translated legal briefs and localized customer support conversations, our native-speaking professionals ensure that your AI comprehends and generates culturally accurate, highly nuanced deliverables for international enterprise markets, maintaining our strict 99% accuracy standard globally.
How does Abaka AI compare to standard crowdsourcing platforms?
Standard crowdsourcing platforms rely on anonymous, low-tier gig workers who lack the expertise to evaluate complex, multi-hour professional deliverables. These platforms often suffer from high quality decay and massive IP risks. In contrast, Abaka AI provides a curated scholar-network of vetted industry professionals. We operate securely under SOC 2 and ISO 27001 standards, guarantee 0% copyright risk, and never build models that compete with you. We are a dedicated, trustworthy data partner for frontier AI, not a generic micro-task broker.
How do you handle changes to grading rubrics during an evaluation?
Agility is core to our process. If your engineering team updates the model checkpoint or refines the evaluation criteria based on early feedback, we adapt instantly. During our weekly synchronization meetings, we review the Alignment, Bias, and Factuality metrics. We can quickly update the instructions in the Abaka Forge platform and retrain our expert evaluators without disrupting your overall timeline. This flexible, collaborative approach ensures that the human oversight perfectly matches your evolving evaluation requirements, minimizing friction and keeping your iterations fast.
Can we run a pilot program before committing to a large evaluation?
Yes, we highly encourage pilot programs to ensure perfect alignment with your benchmarking goals. During the initial Week 1–2 phase, we run a targeted batch of pilot evaluations through our Abaka Forge platform. This allows your team to review the grading accuracy, the nuance of the expert feedback, and our adherence to your specific formatting requirements. Once you are completely satisfied with the 99% accurate baseline delivered by our scholar-network, we seamlessly scale up to full evaluation execution.
Who owns the rights to the evaluation data generated?
You own 100% of the evaluation data and the associated IP. We strictly operate as a trustworthy data partner for your frontier AI initiatives. Your proprietary datasets, model outputs, and all graded deliverables are exclusively yours. We never repurpose, resell, or share your data with other clients, and we never use your data to train competing foundation models. You receive full IP provenance with every delivery, completely eliminating any copyright risk and ensuring your enterprise assets are fiercely protected.
What tooling do you use to manage these complex evaluations?
All of our workflows are powered by the Abaka Forge platform, an all-in-one proprietary system designed specifically for frontier AI data collection, cleaning, and annotation. The platform supports every data type—from intricate 3D/4D Point Clouds and Video to complex Text deliverables. It leverages large-model automation to streamline the grading process, making evaluations up to 50x faster. It also provides a seamless interface for our experts to execute tool-calling and multi-step reasoning assessments efficiently and securely, ensuring maximum throughput.
Is there a minimum volume required for expert evaluations?
While we specialize in scaling up to thousands of complex evaluations per week, we are highly flexible and accommodate projects of varying sizes. Whether you need a small, highly targeted batch of Defensive Coding evaluations at $15/eval or a massive, continuous pipeline of head-to-head human comparisons, our on-demand capture pods and elastic scaling capabilities can adapt. We are committed to supporting frontier model labs at every stage of development, ensuring you get the exact volume of expert oversight required.

Ready to Get Started?

Evaluate the Present. Guardrail the Future. Partner with Abaka AI to rigorously test your models on the hardest economic tasks.