Scale your frontier models with 99% accuracy and scholar-network domain experts across 50+ countries. Your proprietary data remains exclusively yours.
In 2026, building frontier models requires more than basic crowdsourced click-workers. Without specialized domain expertise and strict quality control, AI teams face catastrophic accuracy drops and compounding hallucinations. Bad training data costs millions in wasted compute cycles, delays product rollouts by critical weeks, and introduces severe compliance vulnerabilities that can derail an entire enterprise AI initiative. Relying on unverified sources for complex reasoning or mathematical evaluations often yields unusable datasets, pushing engineers to spend endless hours cleaning inputs instead of building architectures. The cost of inaction is a stalled deployment, compromised IP, and a loss of competitive advantage in a rapidly evolving market.
Abaka AI operates entirely differently. As a trustworthy data partner for frontier AI, we deploy a global network of over 1 million vertically specialized annotators—from mathematicians and biomedical researchers to competitive coding experts. We deliver meticulously curated, human-verified data with 99% accuracy, ensuring your foundational models train on the highest quality inputs without compromising speed, security, or proprietary IP. Whether you need complex Lean4 mathematical reasoning, dense LiDAR annotations, or multilingual speech evaluations, our infrastructure guarantees unparalleled precision. We empower your team to reclaim critical engineering bandwidth, accelerating your time-to-market while safeguarding your absolute data ownership.
Standard crowdsourcing platforms struggle immensely with complex reasoning and domain-specific tasks. When annotators lack true subject matter expertise, label accuracy plummets well below 80%, causing your models to learn flawed patterns that require costly, time-consuming retraining cycles to fix. This quality decay introduces dangerous biases and hallucinations into your foundation models. Without rigorous, multi-layer quality assurance and scholar-level reviewers, AI teams find themselves forced to manually verify datasets, effectively neutralizing any speed advantage gained from outsourcing. Ensuring 99% accuracy is non-negotiable for frontier deployments.
Scaling up data collection often means sacrificing speed or quality. Many teams hit a ceiling when trying to process millions of multimodal files. Without an automated platform like Abaka Forge, preprocessing can drain up to 70% of your machine learning engineering time. Manual routing, uncoordinated tooling, and fragmented annotation workstreams create massive bottlenecks, leaving highly paid algorithm developers stuck performing basic data wrangling instead of focusing on model architecture and innovation velocity.
Navigating global data privacy laws is increasingly complex. Leveraging generic services exposes you to immense legal liabilities, from unverified IP provenance to mishandling personally identifiable information. This risks severe non-compliance with critical standards like GDPR, CCPA, and SOC 2. A single breach or copyright infringement claim from poorly sourced training data can halt an entire project, resulting in massive legal penalties and a permanent loss of enterprise trust and market positioning.
Train foundational models with our scholar-level human feedback. We specialize in Instruction Following, Reasoning (CoT), Mathematics (including Lean4), and multi-layer HLE QAs. Achieve unparalleled model alignment and safety through experts.
Empower your AI with pristine logic. Our highly vetted network includes competitive programmers and mathematicians who excel in dense code evaluation, defensive coding rubrics, and IMO-grade math capabilities across languages.
Extract precise intelligence from visual data. We provide dense captioning, bounding boxes, polygon segmentation, and interleaved image tagging—essential for autonomous systems, retail analytics, and highly accurate medical image interpretation.
Capture temporal and spatial dynamics flawlessly. Our annotators track complex frame-by-frame actions and object persistence, crucial for embodied robotics, advanced surveillance systems, and high-level video spatial reasoning models.
Equip autonomous vehicles and spatial computing apps with 3D mastery. We annotate complex LiDAR + Camera fusion data, ensuring millimeter-level accuracy for road lane mapping, object tracking, and indoor scene understanding.
Expand your model's auditory intelligence across 50+ countries. We handle complex multilingual transcription, sentiment analysis, and TTS evaluations, generating high-fidelity datasets that capture nuance, emotion, and cultural context.
Secure your AI against emerging threats. Our experts conduct rigorous red-teaming, bias audits, and objective benchmarks across alignment, factuality, and tool-calling matrices, ensuring absolute enterprise safety before public deployment.
Bypass scraping risks with 100% proprietary data capture. We deploy custom pods for text, image, video, and IoT sensor collection, yielding timestamped, fully compliant data with zero percent copyright risk.
Reduce your time-to-market dramatically. By pairing our Abaka Forge platform's automation with our global workforce, we accelerate the labeling pipeline, achieving maximum throughput of 500 files/day per annotator without ever sacrificing absolute precision.
Eliminate the massive overhead of recruiting, training, and managing an internal data workforce. Our flexible engagement models transform large fixed operational expenses into scalable, predictable, and highly efficient project-based investments.
Safeguard your proprietary models and IP. We are fully SOC 2 and ISO 27001 compliant, operating out of highly secure, segregated pipelines. We guarantee 0% copyright risk and full IP provenance for all sourced datasets.
Whether you need a bespoke pilot or an enterprise-grade rollout, we instantly adapt. Access over 1 million specialized annotators globally, allowing you to seamlessly scale data operations up or down to meet fluctuating demands.
Don't compromise on complex reasoning tasks. Leverage our scholar-network domains—including Medicine, Law, Coding, and Science—to ensure your specialized models learn from verified, subject-matter experts rather than generalist click-workers.
Free your elite ML engineers from the drudgery of data wrangling. By offloading annotation to Abaka AI, your core team can reclaim up to 70% of their preprocessing time to focus entirely on advanced algorithm development.
Accelerate your Tier-1 autonomous driving programs. We meticulously label complex LiDAR + Camera fusion data, frame-by-frame 3D point clouds, and specific road lane geometries ($3/km) to ensure fail-safe navigation in any environment.
Power the next generation of LLMs with flawless instruction following and RLHF. Our global network handles advanced logical reasoning, creative writing, and STEM evaluations to improve alignment and thoroughly minimize model hallucinations.
Bridge the gap between physical and digital spaces. We provide rich visual spatial reasoning, 3D indoor scene mapping, and customized RL environment designs that enable embodied agents to interact safely with the real world.
Train diagnostic models with absolute confidence. Our network includes medical professionals who accurately annotate complex biomedical images, clinical texts, and research papers, driving critical breakthroughs in predictive medicine and diagnostics.
Revolutionize the customer experience with highly accurate computer vision datasets. We label thousands of SKUs, analyze in-store video feeds for spatial intelligence, and fine-tune chatbots for complex multilingual customer service interactions.
Enhance algorithmic trading, fraud detection, and financial analysis. We annotate intricate business documents, synthesize high-value economic data, and rigorously red-team your LLMs to ensure strict adherence to financial logic and secure operations.
Unlock critical insights from above. We label high-resolution satellite imagery, dense 4D point clouds, and specialized environmental sensors, supporting precision agriculture, urban planning, and large-scale environmental tracking initiatives.
Deploy mission-critical AI with uncompromised integrity. Operating under strict NDAs and comprehensive SOC 2 compliance, we provide rigorous data curation and annotation for threat detection systems, surveillance networks, and defensive coding.
Modernize traditional industries with robust machine learning. We collect and annotate specialized IoT sensor data and industrial machine vision imagery to automate quality control, monitor crop health, and fully optimize supply chains.
We begin by understanding your exact frontier AI requirements. Our experts design a custom labeling taxonomy and establish secure, segregated pipelines. We then execute a rapid pilot to strictly calibrate our annotators against your gold-standard metrics.
Following the initial pilot, we carefully analyze the data batches. Our scholar-network reviewers refine the rubrics, adjusting for edge cases and ensuring our workforce immediately hits the rigid 99% accuracy threshold required for your models.
With calibration completely finalized, we elastic-scale the workforce. Utilizing the Abaka Forge platform, we unleash our global annotators—achieving up to 500 files/day per annotator—while large-model automation dramatically accelerates total preprocessing.
Quality is continuously monitored through multi-layer QA protocols and Model-as-Judge evaluations. We perform strict bias audits and factuality checks, ensuring the dataset maintains pristine integrity as daily volumes aggressively increase.
You receive curated, fully compliant data batches via secure transfer. We hold weekly syncs with your ML engineering team to review progress, quickly adapt to any changing model requirements, and provide full transparency into IP provenance.
Our comprehensive data infrastructure supports every modality required for frontier AI development. Utilizing the Abaka Forge platform, we deliver meticulously structured datasets across a wide spectrum of specialized formats.
| Modality | Annotation Types | Tools | Output Formats |
|---|---|---|---|
| Text | Sentiment Analysis, Entity Extraction, Document Classification | Abaka Forge | JSON, CSV, XML |
| LLM RLHF | Instruction Following, CoT Reasoning, Math Verification, Factuality | Abaka Forge | JSONL, Parquet, Custom API |
| Image | Bounding Boxes, Polygon Segmentation, Dense Captioning | Abaka Forge | COCO, Pascal VOC, YOLO |
| Video | Temporal Tracking, Action Recognition, Spatial Reasoning | Abaka Forge | MP4 with JSON metadata, XML |
| 3D/4D Point Cloud | 3D Cuboids, Semantic Segmentation, Object Tracking | Abaka Forge | PCD, XYZ, JSON |
| LiDAR + Camera fusion | Multi-sensor Calibration, Lane Mapping, Scene Understanding | Abaka Forge | JSON, Custom Rosbag outputs |
| Audio | Multilingual Transcription, TTS Evaluation, Sentiment Tagging | Abaka Forge | WAV, MP3 with JSON transcripts |
A frontier model lab was struggling to scale their complex reasoning and coding capabilities. Relying on standard crowdsourcing, their multi-step math evaluations and code-generation models were plateauing at a 75% accuracy rate. Poor quality RLHF data was introducing severe hallucinations, while their preprocessing pipeline drained essential engineering bandwidth, massively delaying their upcoming foundational model release.
Abaka AI stepped in as their dedicated data labeling company for AI. We deployed a specialized task force of 500+ competitive programmers and Lean4 mathematicians from our scholar network. By integrating their pipeline with Abaka Forge, we automated the initial data cleaning phase and established a multi-layer QA rubric to ensure every single prompt and response pair met rigorous logical alignment and safety standards.
The impact on the lab's model performance was immediate and profound. The specialized human feedback eliminated recurring logic loops, raising the model's complex reasoning accuracy to 99%. By offloading the entire annotation workload to our scholar network, the lab’s core engineering team reclaimed 70% of their preprocessing time. This efficiency gain allowed them to successfully launch their new foundation model 3 weeks ahead of schedule.
Abaka AI fundamentally changed how we approach our RLHF pipeline. Their scholar-network annotators handled our complex mathematics and Lean4 reasoning tasks with a level of precision we couldn't find anywhere else. They truly are the premier data labeling company for AI.
Partnering with Abaka AI was a pivotal decision for our autonomous navigation project. Their meticulous annotation of LiDAR and camera fusion data—down to the exact road lane geometries—gave our models the reliability required for safe, real-world deployment.
Data security and IP provenance were our top concerns. Abaka AI’s SOC 2 compliance and absolute guarantee that our data would never be repurposed gave us the complete peace of mind to scale our proprietary models aggressively.
The integration with Abaka Forge accelerated our entire workflow. By combining large-model automation with expert human review, we cut our preprocessing time by 70% and successfully launched our multimodal assistant ahead of our ambitious schedule.
We don't just rely on general crowdsourcing. Our workforce consists of over 1 million vertically specialized annotators from 50+ countries, including professionals in Medicine, Law, Coding, and Mathematics. This scholar-network ensures that your most complex frontier AI models are trained on precisely curated, high-fidelity data that generalist platforms simply cannot produce.
Your IP is exclusively yours. We operate under strict NDAs, SOC 2, and ISO 27001 compliance, utilizing segregated secure pipelines to guarantee your proprietary data is never resold or repurposed.
Avoid crippling legal liabilities. Our robust data collection and 100% proprietary capture pods ensure complete IP provenance, providing a clean, copyright-risk-free foundation for your AI.
Experience 50x faster processing with our all-in-one platform. Abaka Forge seamlessly integrates data collection, cleaning, and annotation, utilizing large-model automation to drastically reduce your engineering overhead.
Unlike some data providers, we are a purely trustworthy data partner. We never build models that compete with you. We are self-funded, profitable, and solely focused on empowering your success.
Scaling up shouldn't mean scaling down quality. With strict multi-layer QA rubrics and a maximum throughput of 500 files/day per annotator, we consistently deliver 99% accuracy across massive, multi-modal datasets, ensuring your models train flawlessly.
Label the Present. Train the Future. Secure your competitive advantage with the most trusted data labeling company for AI.
