The Premier
RLHF Services Company

Align advanced foundational models with human values using our global network of 1M+ specialized annotators, guaranteeing 99% accuracy for complex reasoning tasks.

As AI models scale to handle increasingly complex reasoning and domain-specific tasks, poor alignment becomes a critical vulnerability. Relying on generic crowdsourcing for Reinforcement Learning from Human Feedback (RLHF) introduces catastrophic hallucinations, bias, and quality decay. When models fail to accurately follow instructions or safely refuse harmful prompts, the cost of inaction is severe—wasted compute cycles costing millions of dollars, delayed product launches extending by 8 to 12 weeks, and permanent damage to brand trust. Without high-fidelity, scholar-grade feedback, your frontier model simply cannot cross the threshold from a research prototype to a trustworthy, production-ready enterprise asset.

Abaka AI is the trustworthy RLHF services company you need to overcome these alignment barriers. We deploy over a million vertically specialized annotators across more than 50 countries, ensuring expert human intelligence is embedded into your model's feedback loop. From intricate lean math proofs to nuanced creative writing evaluations, our self-funded, secure infrastructure guarantees zero copyright risk and strict data isolation. Partner with Abaka AI to accelerate your innovation velocity, drastically reduce preprocessing bottlenecks, and deploy frontier models that are rigorously aligned with human values.

The RLHF Bottleneck

01

Quality Decay

Scaling Reinforcement Learning from Human Feedback for advanced LLMs often hits a massive quality wall. Generic crowdsourced annotators lack the deep domain expertise required to evaluate complex tasks such as Python coding, medical diagnostics, or multi-step mathematical reasoning. This mismatch results in superficial, noisy, or fundamentally inaccurate preference data. Over time, feeding this low-fidelity human intelligence into your training pipeline causes a sharp quality decay in model alignment, leading to hallucination-prone models and forcing costly retraining iterations that can burn millions of dollars in wasted compute.

02

Volume Walls

Acquiring hundreds of thousands of meticulously ranked preference pairs is notoriously slow and resource-intensive. Without a purpose-built annotation infrastructure and access to a massive global workforce, frontier AI labs face severe volume walls. Internal teams quickly max out their capacity, often limiting throughput to just a few hundred interactions per day. This bottleneck stifles the rapid model iteration required in today's fast-paced AI landscape, ultimately delaying critical foundational model launch schedules by upwards of 8 to 12 weeks while better-equipped competitors capture the enterprise market.

03

Compliance Friction

Managing an extensive global workforce for RLHF inherently introduces massive regulatory and security risks. Handling proprietary enterprise data, confidential source code, or sensitive customer interactions without ironclad security protocols can lead to catastrophic IP leaks and severe legal liabilities. This compliance friction complicates every phase of the human feedback loop, forcing AI teams to slow down their alignment campaigns by months just to ensure strict GDPR, CCPA, and SOC 2 requirements are fully met. Navigating these regulatory mazes without a specialized partner is both costly and highly inefficient.

01

Complex Instruction Following and Ranking

Our RLHF services company specializes in refining complex instruction following for foundation models. Using the Abaka Forge platform, specialized annotators rigorously evaluate model outputs against intricate, multi-constraint prompts. By scoring and ranking responses based on factuality, tone, and adherence to specific instructions, we help labs align their models perfectly with user intent. Our workforce includes experts in business, science, and law, ensuring that even the most nuanced, multi-turn interactions are accurately assessed and heavily penalized for hallucinations, yielding robust preference datasets.

02

Advanced Math and Coding RLHF

Aligning models for STEM applications requires scholar-network domain expertise. We deploy specialized annotators proficient in Python, C++, and advanced mathematics (including Lean4) to rank model-generated code and proofs. Our human intelligence teams meticulously identify subtle logical errors, syntax flaws, or inefficient algorithms that automated systems might miss. Leveraging the Abaka Forge platform, we deliver highly accurate reward modeling data that drastically enhances the reasoning capabilities of enterprise chatbots and coding assistants, effectively eliminating toxic or functionally broken code from the model's output generation.

03

Safety Auditing and Red Teaming

Security and safety are paramount in frontier AI. Our comprehensive red teaming capabilities proactively stress-test your models to identify and mitigate harmful behaviors, biases, and vulnerabilities. Using our 6-dim evaluation framework, our teams craft adversarial prompts across 50+ countries to ensure your models securely refuse inappropriate requests without compromising helpfulness. This rigorous, human-led safety auditing generates critical negative examples for RLHF, reinforcing guardrails and ensuring your models meet strict enterprise compliance standards, operating safely within deployment environments without generating toxic or biased responses.

04

Multimodal and Interleaved Image Alignment

As AI evolves beyond text, our RLHF services scale to handle complex multimodal tasks. We provide specialized annotation for interleaved images, video spatial reasoning, and visual question answering (VQA). Utilizing Abaka Forge's seamless multimodality support, our experts rank model outputs based on how accurately they interpret and describe visual data in conjunction with text prompts. Whether assessing dense captioning or 3D point cloud descriptions, our human intelligence ensures your foundational models achieve profound contextual understanding across all digital formats, unlocking advanced multimodal applications.

05

Embodied Agent and RL Environment

Developing autonomous agents requires dynamic, highly specialized feedback loops. We design custom RL environments for real-world agent capabilities, supporting the alignment of embodied AI and complex tool-calling models. Our experts evaluate agent trajectories, decision-making logic, and API interactions, ranking the efficiency and correctness of multi-step autonomous actions. By providing granular feedback on Human-Computer Interaction (HCI) tasks, we enable enterprise robotics and autonomous software agents to function reliably in unstructured environments, drastically reducing failure rates and accelerating the deployment of highly capable AI assistants.

06

Cross-Cultural Multilingual Alignment

Global AI deployment demands robust multilingual capabilities and deep cultural nuance. Leveraging a vast workforce distributed across 50+ countries, our RLHF services company provides native-level preference ranking and translation evaluations. We ensure your models grasp regional idioms, cultural sensitivities, and context-specific tone across dozens of languages. This extensive localization prevents translation hallucinations and cultural bias, guaranteeing that your generative AI solutions deliver universally resonant, accurate, and highly safe interactions for a globally diverse enterprise user base, seamlessly expanding your international market reach.

07

Factuality and RAG System Tuning

Hallucinations remain a critical barrier to enterprise AI adoption. We focus heavily on factuality and knowledge retrieval evaluations, optimizing Retrieval-Augmented Generation (RAG) systems through targeted human feedback. Our scholar-grade reviewers painstakingly verify model outputs against provided source documents, penalizing fabricated claims and rewarding precise, evidence-based reasoning. This rigorous fact-checking process, managed directly through Abaka Forge, yields high-fidelity reward datasets that permanently suppress hallucinatory tendencies. The result is a highly dependable model that enterprise clients can trust for critical decision-making, medical Q&A, and financial analysis.

08

Nuanced Creative Writing Evaluation

Evaluating subjective tasks like creative writing requires human intelligence that grasps tone, flow, and emotional resonance. Our expert annotators provide detailed preference rankings for narrative generation, marketing copy, and conversational personas. By carefully assessing style, coherence, and user engagement, we help align generative models to produce highly compelling and contextually appropriate prose. This qualitative feedback loop ensures your AI systems do not just generate grammatically correct text, but actually capture the stylistic nuances expected by enterprise marketing teams and interactive entertainment developers.

Why Outsource RLHF

01

Faster Delivery

Partnering with a specialized RLHF services company accelerates your model deployment timelines dramatically. By leveraging our pre-vetted global workforce and the ultra-efficient Abaka Forge platform, we eliminate the immense operational overhead of building internal annotation teams. Our massive throughput capacity—up to 500 files per day per annotator—cuts preprocessing time by 70%, helping you launch production-ready AI models weeks ahead of schedule.

02

Direct Savings

Internal data labeling operations are notoriously expensive, requiring extensive investments in HR, custom tooling, and compliance management. By outsourcing your alignment tasks to Abaka AI, you transition these heavy fixed expenses into predictable, flexible operational costs. Our highly optimized infrastructure and proven large-model automation capabilities reduce wasted compute cycles, delivering high-fidelity preference datasets at a fraction of the total cost of ownership.

03

Risk Reduction

Data privacy and copyright issues pose catastrophic threats to enterprise AI development. As a premier RLHF services company, Abaka AI guarantees zero copyright risk and strict data isolation. We operate under rigorous SOC 2, ISO 27001, and GDPR compliance, utilizing segregated secure pipelines. Outsourcing to us removes the immense legal and regulatory liabilities associated with handling proprietary or sensitive data internally.

04

Elastic Scalability

Model training requirements fluctuate wildly, demanding sudden spikes in human evaluation bandwidth. Our global workforce of 1M+ annotators provides elastic scalability, allowing you to seamlessly ramp up alignment campaigns from a targeted pilot to massive, multi-modal feedback loops without friction. We dynamically adjust resource allocation, ensuring you always have the exact throughput required without the burden of maintaining idle full-time staff.

05

Domain Expertise

Generic crowdsourcing inevitably fails when evaluating highly technical AI outputs. We provide direct access to an elite scholar-network of annotators specializing in mathematics, medicine, software engineering, and law. This specialized domain expertise ensures that complex reasoning tasks, lean proofs, and advanced Python code are evaluated with 99% accuracy, yielding the robust, high-fidelity reward models required for true frontier AI performance.

06

Innovation Velocity

Outsourcing your human feedback operations completely frees your internal engineering and applied ML teams to focus on what they do best: algorithmic design and model architecture. By offloading the tedious, resource-intensive burden of RLHF data collection and quality assurance to Abaka AI, your team maintains exceptional innovation velocity, rapidly iterating on frontier research rather than managing a fragmented global workforce.

Industries We Serve

Automotive

We empower Tier-1 autonomous driving programs by aligning models that interpret complex real-world sensor data. From refining spatial reasoning to evaluating embodied AI trajectories in custom RL environments, our human intelligence ensures autonomous vehicles make safe, highly accurate decisions in unpredictable traffic scenarios.

GenAI / Foundation Models

As a trusted RLHF services company for frontier model labs, we deliver millions of meticulously ranked preference pairs. Our domain experts evaluate complex instruction following, advanced coding, and nuanced reasoning, drastically reducing hallucinations and guaranteeing models are safely aligned with human values.

Embodied AI / Robotics

We support enterprise robotics by providing critical feedback loops for agent trajectory and HCI interactions. Through custom RL environment design and specialized spatial reasoning evaluations, we help align models that power physical robots, ensuring safe, efficient, and highly reliable real-world task execution.

Healthcare

Accuracy is non-negotiable in medical AI. We deploy scholar-network professionals to meticulously evaluate medical Q&A, diagnostic reasoning, and biomedical text summarization. Our strict ISO 27001 and GDPR compliance ensures all sensitive alignment data is processed securely, yielding highly dependable clinical AI assistants.

Retail

We help retail giants align their conversational commerce agents and personalized recommendation models. By ranking model responses for brand voice, helpfulness, and cultural nuance across 50+ countries, our multilingual RLHF services ensure chatbots deliver seamless, highly engaging, and culturally resonant customer support.

Finance

Financial institutions rely on our RLHF services to align models for complex quantitative analysis and automated reporting. Our experts evaluate the factuality and logical consistency of financial RAG systems, severely penalizing hallucinations to guarantee that deployed AI models meet strict regulatory and accuracy standards.

Geospatial

We align spatial analysis AI by providing rigorous feedback on multi-modal models interpreting satellite imagery and 3D topographies. Our specialized annotators rank the accuracy of geospatial reasoning and dense captioning, ensuring robust AI performance for critical urban planning, mapping, and logistics applications.

Security / Defense

Operating securely under strict NDAs and segregated pipelines, we provide critical red teaming and alignment services for defense AI. Our expert annotators stress-test models against adversarial threats and evaluate complex situational awareness tasks, ensuring maximum safety, reliability, and robust operational security.

Agriculture / Industrial

We accelerate industrial AI by aligning models that predict equipment failures and optimize agricultural yields. By evaluating time-series data reasoning and IoT sensor interpretations, our RLHF services help heavy industries deploy robust predictive models that significantly enhance operational efficiency and minimize costly downtime.

How It Works

1) Day 0–3 — Scope & Platform Setup

We initiate the partnership by deeply understanding your specific alignment goals, whether it is reducing coding hallucinations or enhancing multimodal reasoning. Within the first 72 hours, we configure the Abaka Forge platform, establish segregated secure pipelines to guarantee IP protection, and finalize the exact evaluation criteria, rubrics, and custom RL environments required for your specific foundational model.

2) Week 1–2 — Scholar-Network Onboarding

Leveraging our massive global workforce across 50+ countries, we rapidly identify and onboard the precise domain experts needed for your RLHF campaign. Whether you require advanced mathematicians for Lean4 proofs or medical professionals for clinical evaluations, we rigorously test and align this elite team with your specific guidelines, ensuring they are fully prepared to deliver 99% accuracy.

3) Week 2–3 — Pilot Alignment Campaign

We launch a tightly controlled pilot RLHF campaign to establish baseline metrics and calibrate human feedback against your internal benchmarks. Our annotators process an initial batch of complex instructions, ranking outputs and conducting preliminary red teaming. Your team reviews this dataset to verify that the tone, factuality, and nuance perfectly align with your model's target behavior.

4) Ongoing — High-Throughput Scaling

Upon successful pilot validation, we dynamically scale the human feedback loop. Our workforce seamlessly handles tens of thousands of preference rankings per week. Utilizing large-model automation within Abaka Forge, we achieve a 50x faster workflow, efficiently processing vast volumes of text, code, and interleaved images without ever compromising on our rigorous scholar-grade quality standards.

5) Weekly — Quality Audits & Delivery

We maintain a relentless focus on quality through continuous multi-layer QA and model-as-judge evaluations. Every week, your AI engineering team receives comprehensive, structured batches of high-fidelity preference data. We conduct weekly syncs to adjust alignment rubrics, address emerging edge cases, and ensure your model's trajectory remains securely on path toward flawless, production-ready enterprise deployment.

Modality & Format Coverage

Our RLHF services seamlessly cover a wide spectrum of complex modalities. Powered entirely by the Abaka Forge platform, we deliver meticulously structured preference data across everything from advanced text reasoning to specialized LiDAR and audio formats.

ModalityAnnotation TypesToolsOutput Formats
TextInstruction Following, Multilingual Translation, Factuality RankingAbaka ForgeJSON, JSONL, CSV, Parquet
LLM RLHFPreference Ranking, Red Teaming, Code EvaluationAbaka ForgeJSONL, Arrow, Hugging Face Dataset
ImageInterleaved Images, Dense Captioning, Visual QAAbaka ForgeCOCO, YOLO, Pascal VOC, JSON
VideoSpatial Reasoning, Action Recognition, Temporal TrackingAbaka ForgeMP4, JSON, CSV, XML
3D/4D Point Cloud3D Cuboids, Semantic Segmentation, Scene FlowAbaka ForgePCD, JSON, OBJ, CSV
LiDAR + Camera fusionSensor Alignment, Multi-sensor Tracking, Depth EstimationAbaka ForgeJSON, ROS Bag, CSV, Parquet
AudioSpeech-to-Text Transcription, Sentiment Analysis, Speaker DiarizationAbaka ForgeWAV, FLAC, JSON, TextGrid

Success Story

A frontier model lab

A frontier model lab was developing an advanced foundational model designed for intricate enterprise reasoning and automated coding. However, relying on generic open-source datasets and standard crowdsourcing platforms resulted in severe alignment issues. The model frequently hallucinated complex mathematical proofs, generated insecure Python code, and failed to consistently follow multi-step instructions. The lab faced a massive bottleneck: they needed hundreds of thousands of highly accurate, scholar-grade preference pairs to safely align the model, but their internal team was capping out at a few hundred evaluations per day, threatening to delay their launch by months.

The lab partnered with Abaka AI to execute a massive, specialized RLHF campaign. Leveraging our elite global scholar-network, we rapidly onboarded hundreds of annotators with deep expertise in software engineering and advanced mathematics, including Lean4. Using the Abaka Forge platform, we established highly secure, segregated pipelines to protect their proprietary codebase. Our specialized teams meticulously evaluated and ranked complex model outputs, aggressively penalized hallucinations, and conducted extensive red teaming to map out safety vulnerabilities, ensuring the model's responses were strictly aligned with the lab's rigorous safety and accuracy rubrics.

By outsourcing to our RLHF services company, the lab completely eliminated their internal evaluation bottleneck. Our scalable global workforce quickly achieved a maximum throughput of 500 files per day per annotator, accelerating their data delivery timelines by over 8 weeks. The infusion of high-fidelity human intelligence successfully eradicated toxic code generation and dramatically improved complex instruction adherence across all testing metrics. Ultimately, the frontier model was deployed on schedule, demonstrating an impressive 99% accuracy rate on stringent internal reasoning benchmarks and securing a highly successful, completely safe enterprise rollout without any copyright or compliance risks.

99%
Accuracy on complex reasoning tasks
8 weeks
Reduction in data processing time
0%
Copyright risk on collected data

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1,000+
Enterprise and research customers worldwide
1M+
Vertically specialized global annotators
50x
Faster annotation via large-model automation

What Customers Say

Scaling our human feedback loop was proving impossible until we partnered with Abaka AI. Their scholar-network seamlessly handled our most complex mathematical and coding evaluations with stunning precision. We completely eliminated our preprocessing bottleneck and safely deployed our foundational model months ahead of schedule.

Head of AlignmentFrontier AI Lab

As an enterprise scaling customized AI agents, we needed rigorous RLHF to ensure safety and strict instruction following. Abaka AI’s secure pipelines and expert red teaming gave us absolute confidence. They delivered flawlessly accurate preference data while maintaining strict SOC 2 compliance.

Director of Applied MLEnterprise SaaS Provider

The quality decay we experienced with standard crowdsourcing was severely damaging our generative models. Abaka AI provided the specialized human intelligence we desperately needed. Their experts deeply understood our nuanced creative writing rubrics, yielding reward models that perfectly captured our brand's complex tone.

VP of AI EngineeringGlobal Marketing Platform

Transitioning our robotics models to real-world environments required highly specialized embodied AI feedback. Abaka AI designed custom RL environments and provided precise spatial reasoning evaluations. Their platform's seamless multimodal support allowed us to drastically reduce failure rates across all our autonomous software agents.

Lead AI ResearcherAutonomous Robotics Firm

Why Choose Abaka

01

Uncompromising Data Security and Trust

We are a self-funded, highly profitable organization operating without VC pressure, which means your data is exclusively yours—never repurposed, resold, or used to build competing models. We operate strictly under SOC 2, ISO 27001, and GDPR compliance, utilizing segregated secure pipelines to guarantee total IP protection.

02

Elite Scholar Network

Forget generic crowdsourcing. We deploy experts in mathematics, coding, medicine, and law to evaluate your most complex AI outputs with a guaranteed 99% accuracy rate.

03

Zero Copyright Risk

We provide full IP provenance for every piece of data collected. Our rigorous sourcing and isolated pipelines ensure completely safe, risk-free enterprise AI deployment.

04

Massive Global Scale

With over 1 million specialized annotators distributed across 50+ countries, we offer elastic scalability, easily ramping up to handle massive, multi-lingual alignment campaigns on demand.

05

All-in-One Abaka Forge Platform

Our proprietary platform integrates collection, cleaning, and complex RLHF annotation. Leveraging large-model automation, we accelerate your feedback workflows by up to 50x seamlessly.

06

Comprehensive Modality Coverage

From complex text reasoning and interleaved images to LiDAR and bespoke RL environments, our human intelligence processes all data types required to align the latest foundational models.

Frequently Asked Questions

How much does a typical RLHF services engagement cost?
Pricing for our RLHF services varies based on the complexity and domain expertise required for your specific alignment campaign. Because we utilize an elite scholar network rather than generic crowdsourcing, our rates reflect the high quality of human intelligence provided. For example, specialized LLM Math and Coding evaluations are priced at $18/hr, while STEM Generalist ranking is available at $12/hr. We also offer highly targeted tasks such as Red Teaming at $8/eval and Creative Writing evaluation at $6/eval. These transparent, predictable costs ensure you achieve scalable, scholar-grade model alignment without unpredictable budget overruns.
How fast can you scale up an RLHF data annotation team?
Speed is critical in frontier AI development, and our vast global network allows us to scale with unmatched velocity. We typically complete scoping, platform setup on Abaka Forge, and strict security isolation within the first 3 days. By Week 1, we aggressively onboard and test specialized annotators from our 1M+ global workforce. Depending on the complexity of your domain, a fully calibrated team can be operational and delivering high-throughput human feedback—capable of up to 500 files per day per annotator—in as little as 10 to 14 days, drastically reducing your standard preprocessing time.
Which data modalities and output formats do you support for model alignment?
Abaka AI supports an extensive range of data modalities essential for training the latest generation of foundational models. Our specialized teams seamlessly process complex Text, advanced LLM RLHF code, Interleaved Images, Video spatial reasoning, 3D/4D Point Clouds, Audio, and bespoke LiDAR sensor data. Through the highly versatile Abaka Forge platform, we deliver your perfectly aligned, high-fidelity preference data in universally compatible output formats, including JSON, JSONL, Parquet, CSV, and Hugging Face Dataset structures, ensuring completely frictionless integration into your existing AI training and deployment pipelines.
How do you ensure 99% accuracy in complex reasoning or math evaluations?
Achieving exceptional accuracy on complex STEM tasks requires true domain expertise, not generic crowdsourcing. We exclusively deploy pre-vetted professionals from our elite scholar-network—individuals with proven proficiency in fields like advanced mathematics, software engineering, and the sciences. Furthermore, we implement a rigorous, multi-layer quality assurance framework directly within Abaka Forge. This includes systematic model-as-judge preliminary passes, peer-reviewed human evaluation, and continuous rubric calibration with your internal AI engineering teams. This structured, exhaustive oversight process consistently guarantees our stringent 99% accuracy rate across all intricate reasoning and coding alignments.
Is my proprietary enterprise data secure during the RLHF process?
Yes, data security and IP protection are our highest priorities as a trustworthy RLHF services company. We operate under strict SOC 2, ISO 27001, GDPR, and CCPA compliance frameworks. All alignment campaigns are executed through fully segregated, highly secure data pipelines to prevent any cross-contamination. We enforce ironclad NDAs across our entire global workforce and guarantee full IP provenance, resulting in 0% copyright risk. Most importantly, Abaka AI never builds internal foundational models that compete with our clients, meaning your proprietary data is exclusively yours and never repurposed.
Can you provide RLHF services for non-English foundational models?
Absolutely. Global AI deployment requires deep cultural and linguistic nuance that automated translation simply cannot provide. We manage a vast, highly diverse workforce distributed across more than 50 countries, granting us access to native-speaking domain experts in dozens of languages. Our multilingual human feedback services ensure that your generative models accurately grasp regional idioms, precise context, and cultural sensitivities. This extensive localized expertise severely penalizes translation hallucinations and ensures your AI solutions deliver universally safe, culturally resonant interactions for a globally diverse enterprise user base.
How does Abaka AI differ from generic crowdsourcing annotation platforms?
Generic crowdsourcing platforms focus purely on high-volume, low-skill micro-tasks, which invariably leads to catastrophic quality decay when evaluating advanced frontier models. Abaka AI fundamentally differs by providing targeted, high-fidelity human intelligence. We rely on an elite scholar-network of specialized professionals—engineers, doctors, and mathematicians—capable of evaluating deeply technical prompts. Additionally, as a profitable, self-funded partner free from VC acquisition pressure, we prioritize long-term trust over rapid metrics. We combine this unparalleled domain expertise with the immense large-model automation power of Abaka Forge to deliver superior, secure alignment.
What happens if we need to adjust our evaluation rubrics mid-project?
Foundational model training is highly iterative, and we fully expect evaluation criteria to evolve as your AI systems advance. Our engagement model is built for absolute elasticity and agile responsiveness. If you need to refine instruction-following rubrics, alter tone requirements, or shift focus toward emerging adversarial red teaming, we can rapidly recalibrate our annotator guidelines. During our mandatory weekly syncs, your engineering team can mandate immediate workflow adjustments, which are then seamlessly cascaded through the Abaka Forge platform to our specialized workforce without disrupting overall data delivery timelines.
Do you offer a pilot program before committing to a massive RLHF campaign?
Yes, we strongly recommend initiating our partnerships with a tightly controlled pilot campaign. During this initial Phase 1, typically spanning Weeks 2 and 3 of engagement, we process a representative batch of your complex multimodal or text-based prompts. This allows your internal ML team to deeply audit our domain experts' evaluations, ensuring our preference rankings perfectly mirror your strict safety and factuality standards. Once the pilot dataset is fully validated and you are completely confident in our 99% accuracy delivery, we dynamically scale the operation for high-throughput.
Who ultimately owns the preference data and reward models generated?
You retain absolute, unquestionable ownership of all preference data, metadata, and resultant reward models generated during our engagement. Abaka AI operates strictly as your trusted human intelligence partner; we claim zero intellectual property rights over the processed datasets. Because we are a self-funded entity that deliberately abstains from building competing foundational AI models, there is no risk of your proprietary training data being covertly resold, repurposed, or leveraged for our internal benefit. Your intellectual property remains exclusively under your control within our highly secure, segregated pipelines.
Do we need to provide our own annotation tools for the feedback loop?
No, you do not need to provide or build custom internal tooling, which saves your team massive engineering overhead. All RLHF and data alignment workflows are conducted entirely within our proprietary Abaka Forge platform. Abaka Forge is an ultra-efficient, all-in-one suite designed specifically for collection, cleaning, and complex multimodal annotation. It natively supports sophisticated ranking interfaces, code evaluation environments, and interleaved image displays, utilizing large-model automation to speed up processing by 50x. However, if you require integration with specialized internal APIs, we can securely accommodate custom routing.
Is there a minimum volume requirement for an RLHF engagement?
While we are fully equipped to handle massive enterprise workloads generating tens of thousands of preference pairs weekly, we deliberately maintain highly flexible engagement models. We support agile startups and frontier labs alike, whether you require project-based sprints for a specific model launch or long-term, embedded talent for continuous alignment. Utilizing our Abaka Forge credits system—available at just $0.20 USD each—we ensure highly elastic scalability. We collaborate closely with you to design a custom engagement size that perfectly aligns with your current research budget and immediate technical bottlenecks.

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Scale your alignment seamlessly with our specialized human intelligence. Evaluate the Present. Guardrail the Future.