Partner with the Leader Among
AI Model Training Data Companies

Scale your frontier AI models with secure, high-fidelity datasets, scholar-grade annotation, and 360-degree real-world capture from a self-funded, trustworthy data partner.

In the race to build frontier AI, data quality is the ultimate differentiator. As enterprise models scale, relying on sub-par data sources leads to hallucinations, costly retraining, and significant deployment delays. When datasets lack rigorous validation, critical edge cases are missed, and bias creeps into the foundation. For teams managing multi-million dollar compute budgets, feeding a multi-billion parameter model with poorly annotated or unethically sourced data means risking weeks of compute time and facing potentially severe copyright liabilities that can permanently derail development.

Abaka AI stands apart from other AI model training data companies by offering a fundamentally different, trust-first approach. We never build models that compete with yours. Instead, we serve as your dedicated, self-funded data partner, delivering rigorously vetted, 99% accurate datasets. From specialized RLHF crafted by domain scholars to custom 360-degree multimodal capture, our fully compliant, secure pipelines ensure 0% copyright risk. Your intellectual property remains exclusively yours, fully traceable and engineered for peak model performance at the enterprise scale.

The Training Data Bottleneck

01

Quality Decay

Automated or crowdsourced labeling frequently caps out at mediocre accuracy, causing severe quality decay in frontier models. Without scholar-grade oversight, complex domains like advanced mathematics or multi-turn reasoning suffer, directly reducing model alignment. Sub-standard data pipelines can degrade model performance dramatically, wasting expensive compute cycles and delaying critical product launches for enterprise teams.

02

Volume Walls

Scaling from thousands to millions of data points often breaks traditional vendor pipelines. As demand grows, processing speed drops and inconsistencies multiply. Finding AI model training data companies capable of delivering up to 500 files per day per annotator while maintaining uncompromising 99% accuracy requires highly optimized, large-scale platform infrastructure.

03

Compliance Friction

Navigating complex global data regulations slows down development. Sourcing data without strict IP provenance exposes enterprises to severe copyright infringement risks. Teams waste up to 70% of their time just preprocessing and verifying data legality, turning compliance into a massive operational bottleneck instead of a streamlined foundation for model training.

01

360° Real-World Data Capture

Deploy on-demand custom capture pods across 50+ countries to gather high-fidelity text, image, video, LiDAR, and IoT sensor data. All collected data is pre-filtered, curated, timestamped, and meticulously tagged, ensuring 0% copyright risk and providing a robust, diverse foundation for your cutting-edge multimodal AI models.

02

Specialized RLHF & Human Evaluation

Leverage our network of 1M+ vertically specialized annotators to refine foundation models. We provide scholar-grade reviewers in Mathematics, Coding, Medicine, and Law for specialized tasks like Instruction Following, Multi-turn Reasoning, and HLE QAs, guaranteeing 99% accuracy in complex human-feedback alignment workflows.

03

Rigorous Red Teaming & Benchmarking

Evaluate the present and guardrail the future with our comprehensive 6-dimension evaluation framework. We meticulously assess Accuracy, Robustness, Efficiency, Safety, Function Calling, and Usability. Through Objective Benchmarks and Model-as-Judge techniques, we expose critical vulnerabilities, bias, and factuality gaps before your model reaches production.

04

Pre-Built Training Datasets

Accelerate your pipeline with off-the-shelf, highly curated datasets covering Text, Audio, Image, Video, 3D, Reasoning, and Agent use cases. Perfect for LLM training, chatbots, translation, sentiment analysis, and VR robotics, our fully compliant stock data drastically reduces your time-to-market without compromising on fidelity.

05

Unified AI Platform Tools

Consolidate your entire workflow—collection, cleaning, annotation, training, and production—within Abaka Forge. Automate complex pipelines up to 50x faster using our large-model automation. Handle Image, 3D/4D Point Cloud, RLHF, Text, and Video seamlessly in an all-in-one platform where human intelligence forges frontier AI.

06

On-Demand Embedded Talent

Enhance your team's velocity with flexible staff augmentation. We provide elite talent including annotation specialists, algorithm developers, engineering experts, and model training professionals. Engage through project-based, long-term, or on-site models to seamlessly integrate our domain expertise directly into your internal workflows.

07

Custom RL Environment Design

Develop robust, complex autonomous agents with custom Reinforcement Learning environment designs. We create tailored, real-world scenarios optimized for embodied AI and robotics training, providing the highly specific, physically accurate simulations necessary to bridge the gap between virtual training and physical deployment.

08

3D and Sensor Data Fusion

Master complex embodied AI applications with precise 3D, 4D Point Cloud, and LiDAR + Camera fusion datasets. Essential for autonomous driving, VR, and gaming, our rigorous multi-sensor annotation protocols ensure perfect spatial reasoning alignment, driving safer and more reliable navigation models for the real world.

Why Outsource Data Operations

01

Faster Delivery

Accelerate your AI development lifecycle drastically. Our highly optimized collection and annotation pipelines provide a 70% preprocessing-time reduction, allowing your engineering teams to bypass the cumbersome data preparation phase and start training models weeks ahead of standard industry schedules.

02

Direct Savings

Eliminate the overhead of managing fragmented freelance networks or building expensive internal annotation infrastructure. By partnering with our unified team, you consolidate tools and workforce, freeing up millions in multi-year infrastructure investments while accessing predictable, highly competitive per-unit pricing.

03

Risk Reduction

Safeguard your enterprise models against crippling IP infringement suits. We offer strict NDAs, fully segregated secure pipelines, SOC 2, ISO 27001, GDPR, and CCPA compliance. With 100% full IP provenance and 0% copyright risk on collected data, your legal exposure is neutralized.

04

Elastic Scalability

Scale your data throughput on command. From early-stage prototyping to massive foundation model training runs, our global network spans 50+ countries and over 1M+ specialized annotators. We dynamically allocate resources, hitting maximum throughput of 500 files per day per annotator.

05

Domain Expertise

Stop relying on generalist crowds for complex intelligence. Access an elite, vetted network of scholar-level domain experts spanning Advanced Coding, Lean4 Mathematics, Biological Sciences, and Legal fields. Our specialized reviewers capture the nuanced reasoning necessary for cutting-edge multi-turn RLHF alignment.

06

Innovation Velocity

Focus exclusively on algorithmic breakthroughs and model architecture while we handle the critical data layer. By trusting a self-funded, non-competing partner with your dataset creation, your researchers maintain their momentum, pushing the boundaries of frontier AI without operational distractions.

Industries We Serve

Automotive

Fuel Tier-1 autonomous driving programs with hyper-accurate LiDAR + Camera fusion data. From comprehensive road lane annotation to complex spatial tracking, we deliver the precision required to safely navigate edge-case scenarios and accelerate the deployment of self-driving vehicle systems.

GenAI / Foundation Models

Power the next generation of Large Language and Multimodal models with scholar-grade RLHF, multi-turn reasoning data, and massive text/image collections. Our 99% accuracy rate ensures your frontier models remain perfectly aligned, factual, and capable of advanced instruction following.

Embodied AI / Robotics

Bridge the sim-to-real gap for advanced enterprise robotics. We specialize in custom RL environment design and 3D/4D point cloud annotation, providing the rich spatial and interaction data necessary for embodied agents to perceive, plan, and operate autonomously in physical spaces.

Healthcare

Train medical AI with data curated by specialized domain scholars. Compliant with top-tier security standards, we provide rigorously vetted medical imaging annotations, biological science literature analysis, and specialized health-focused QA datasets, accelerating diagnostics and patient care innovations.

Retail

Transform the customer experience with highly accurate image, video, and text datasets. Whether training chatbots for multi-lingual customer support, analyzing sentiment, or powering visual search, we deliver the high-volume data needed to streamline retail operations and drive engagement.

Finance

Develop robust financial intelligence models with data vetted by business and quantitative experts. From complex document parsing to sentiment analysis of market indicators, our secure pipelines ensure strict data segregation and confidentiality for sensitive financial foundation models.

Geospatial

Enhance satellite and aerial imagery analysis with high-fidelity annotation. We provide dense captioning and specialized point cloud labeling for geospatial intelligence, enabling accurate terrain mapping, urban planning, and environmental monitoring at a massive global scale.

Security / Defense

Deploy mission-critical AI with confidence. We deliver highly secure, custom data collection and meticulous annotation within fully segregated pipelines. Our stringent compliance and ISO/SOC2 certifications ensure that defense-grade models are trained safely on highly reliable datasets.

Agriculture / Industrial

Optimize industrial automation and precision agriculture via robust sensor and visual data. Our teams label complex IoT sensor feeds, 3D indoor scenes, and aerial drone footage, empowering AI systems to monitor crop health, manage inventory, and automate heavy machinery operations effectively.

How It Works

1) Day 0–3 — Scoping & Compliance

We define your specific data requirements, establish strict NDAs, and configure segregated secure pipelines. Our team scopes out the optimal mix of custom capture, off-the-shelf datasets, or specialized annotation needed to achieve your specific machine learning and model training objectives.

2) Week 1–2 — Pipeline Setup & Pilot

Using Abaka Forge, we deploy the initial data ingestion and annotation tools. We run a pilot batch with our domain-expert annotators—such as STEM specialists or linguists—to calibrate guidelines, refine instructions, and ensure an initial 99% accuracy baseline before scaling up.

3) Week 2–3 — Scaling & Quality Calibration

We dynamically scale the workforce, expanding to our global network across 50+ countries. Processing speed accelerates to up to 500 files per day per annotator, while rigorous multi-layer QA protocols continuously monitor for quality decay, bias, and factual alignment.

4) Ongoing — Continuous Data Delivery

Your secure pipelines pump high-fidelity, highly curated datasets directly into your model training infrastructure. We maintain 0% copyright risk on all collected data and execute complex RLHF feedback loops to continuously improve foundation model performance.

5) Weekly — Review & Red Teaming

We conduct weekly progress reviews and run rigorous model evaluations, including Objective Benchmarks and Human Evaluation. We iterate on data parameters, adjust custom RL environments, and refine alignment techniques to keep your frontier AI strictly guardrailed and performing optimally.

Modality & Format Coverage

Abaka Forge unifies data processing across all major modalities. By supporting massive-scale automation and expert human review, we deliver pristine, diverse formats essential for training highly capable, multimodal frontier models safely.

ModalityAnnotation TypesToolsOutput Formats
TextSentiment Analysis, NER, Translation, Dense CaptioningAbaka ForgeJSON, CSV, Parquet, TXT
LLM RLHFInstruction Following, HLE QAs, Math Reasoning, Red TeamingAbaka ForgeJSONL, Custom API, Parquet
ImageBounding Boxes, Polygons, Keypoints, Interleaved ImagesAbaka ForgeCOCO, Pascal VOC, YOLO, JSON
VideoSpatial Reasoning, Action Recognition, Tracking, SegmentationAbaka ForgeMP4, JSON, Custom XML
3D/4D Point CloudCuboids, Semantic Segmentation, Indoor Scene LabelingAbaka ForgePCD, JSON, LAS
LiDAR + Camera fusionSensor Fusion, Autonomous Driving Lanes, 3D TrackingAbaka ForgeJSON, Custom Binary, ROS Bag
AudioMultilingual TTS, Transcription, Speaker DiarizationAbaka ForgeWAV, MP3, JSON

Success Story

A frontier model lab

A frontier model lab was struggling to scale their next-generation reasoning model due to the severe limitations of standard AI model training data companies. Their highly complex multi-turn reasoning and advanced mathematical datasets suffered from unacceptable quality decay when processed by generalist crowds. Additionally, sourcing legally compliant interleaved image and text data internally resulted in a massive processing bottleneck, threatening to delay their critical flagship release by several quarters and bloat their training costs.

The lab partnered with Abaka AI to bypass the bottleneck entirely. We immediately deployed a segregated, highly secure pipeline via Abaka Forge, onboarding hundreds of scholar-grade Lean4 and STEM specialists from our global network. By combining large-model automation with rigorous human intelligence, we rapidly generated competition-grade CoT reasoning data. Concurrently, we leveraged our on-demand capture pods to source fully traceable, 0% copyright-risk multimodal datasets tailored exactly to the lab's highly specific model architecture.

Within the first month, the deployment completely eliminated the lab's data bottleneck. Our scholar-level annotations dramatically improved the model's instruction following and mathematical reasoning capabilities, while the custom data collection averted any IP compliance risks. The lab achieved a remarkable 70% reduction in data preprocessing time, accelerating their final foundational training run by three months and successfully launching their frontier model to the enterprise market without legal or factual vulnerabilities.

99%
Annotation Accuracy Maintained
70%
Preprocessing Time Reduction
0%
Copyright Liability Risk

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1,000+
Enterprise & research customers globally
1M+
Vertically specialized domain annotators
50+
Countries supporting global operations

What Customers Say

Finding a partner who truly understands the nuances of advanced RLHF is rare. Abaka AI provided scholar-grade mathematicians who dramatically improved our model's logic and reasoning. They are simply the best data partner we have worked with.

Director of Applied MLFrontier AI Lab

The 360-degree data capture completely solved our multimodal sourcing headaches. Their strict adherence to SOC 2 and copyright provenance gave our legal team total peace of mind while our engineers enjoyed pristine dataset quality.

VP of EngineeringEnterprise Robotics Company

We scaled from a small pilot to thousands of intricate 3D annotations in weeks. Abaka Forge automated the heavy lifting, allowing the human experts to focus entirely on the complex edge cases our autonomous systems face.

Head of PerceptionTier-1 Autonomous Driving Program

Abaka AI's ability to seamlessly blend off-the-shelf datasets with custom, highly specialized instruction tuning data saved us months of development time. Their transparent, self-funded approach makes them incredibly trustworthy.

Lead Research ScientistGenerative AI Startup

Why Choose Abaka

01

Human Intelligence Forging Frontier AI

Abaka AI uniquely bridges the gap between massive-scale automation and unparalleled human expertise. Unlike typical AI model training data companies that rely on generic crowds, we deploy over one million vertically specialized annotators—including advanced STEM scholars—across 50+ countries. Operating out of Singapore, Paris, and Silicon Valley, our self-funded structure ensures we never face VC pressure to compromise on quality or pivot to building competing models. Your data remains completely proprietary, fueling your frontier AI with absolute trust and 99% precision.

02

Self-Funded & Profitable

Operating without venture capital constraints means our singular focus is on being your most trustworthy data partner. We never leverage your proprietary datasets to build competing models.

03

Zero Copyright Risk

Every asset we deliver includes full IP provenance. Our custom capture pods and off-the-shelf datasets guarantee 0% copyright risk, heavily safeguarding your enterprise models from legal liabilities.

04

Elite Scholar Network

Tackle the most complex multi-turn reasoning and STEM challenges. We employ genuine domain experts in Law, Medicine, Mathematics, and Coding, ensuring that your RLHF and HLE QAs reach the 99% accuracy threshold required for leading-edge generative capabilities.

05

Uncompromising Security

We engineer trust directly into our infrastructure. Featuring SOC 2, ISO 27001, GDPR, and CCPA compliance, alongside strict NDAs and segregated secure pipelines, your proprietary model data is perpetually protected from unauthorized access or leakage.

06

The Unified Abaka Forge Platform

Eliminate fragmented, multi-vendor AI workflows. Abaka Forge provides a seamless, all-in-one platform integrating data collection, rigorous cleaning, expert annotation, and model production. Supported by large-model automation that operates up to 50x faster, you can effortlessly manage Image, Point Cloud, Video, and complex Text datasets. Combined with incredibly transparent pricing—such as $0.20 per platform credit—Abaka Forge accelerates your time-to-market while keeping scaling costs highly predictable and firmly under control.

Frequently Asked Questions

How much do your AI model training data services cost?
Our pricing is highly transparent and competitive, driven by the specific complexity and modality of the task. For specialized human annotations, LLM Math/Coding is $18/hr, STEM Generalist is $12/hr, Image Editing is $8/hr, and Dense Captioning is $6/hr. For custom capture requirements, we charge specific rates like $3/km for road lane annotation. Additionally, if you leverage our unified platform, credits on Abaka Forge are just $0.20 USD each, offering predictable, highly controllable costs that scale seamlessly alongside your frontier AI training needs.
How fast can you deliver custom training datasets?
We prioritize high velocity without sacrificing the meticulous quality frontier models demand. After completing thorough scoping and compliance checks in Days 0-3, we establish initial pipelines by Week 1-2. Because our proprietary large-model automation makes data processing up to 50x faster, we routinely help enterprise clients achieve a 70% preprocessing-time reduction. This allows us to return robust, highly accurate initial batches in just a few weeks, empowering your researchers to maintain their innovation velocity and deploy intelligent models to the market sooner.
What data modalities and output formats do you support?
We comprehensively support all major modalities, including Text, LLM RLHF, Image, Video, 3D/4D Point Cloud, LiDAR + Camera fusion, and Audio. Outputs can be dynamically delivered in industry-standard formats such as JSON, COCO, Parquet, ROS Bag, JSONL, and XML. This ensures our curated intelligence integrates flawlessly and directly into your existing machine learning workflows, reducing friction and accelerating the pipeline from initial data ingestion to final model evaluation.
How do you ensure data accuracy for frontier AI?
We maintain an uncompromising 99% accuracy standard through rigorous, proprietary multi-layer QA protocols. Rather than relying on unvetted generalist crowds, we exclusively utilize vertically specialized scholar networks—encompassing deep experts in math, coding, biological science, and law. Additionally, Abaka Forge implements advanced model-as-judge logic to pre-filter basic human errors and inconsistencies before final expert human review, ensuring pristine quality for your model alignment.
What security standards govern your data pipelines?
Security is foundational to our operations at every level. We maintain strict, audited compliance with SOC 2, ISO 27001, GDPR, and CCPA standards. All data workflows operate within completely segregated secure pipelines under strict non-disclosure agreements. Your proprietary data is thoroughly isolated, fully protected, and never exposed to public foundation models or unauthorized internal access, neutralizing potential breaches.
Do you offer multilingual dataset collection and annotation?
Yes, our highly curated workforce of over 1M+ specialized annotators spans 50+ countries, allowing us to support natively fluent, nuanced multilingual tasks. Whether you need Multilingual TTS generation, complex localized sentiment analysis, or highly specific cross-cultural translation alignments, we provide culturally accurate, natively sourced human intelligence that general automated translation tools consistently fail to match.
How does Abaka AI differ from other AI model training data companies?
Unlike traditional, venture-backed vendors, Abaka AI operates as a completely self-funded and profitable data partner. This critical distinction means we face zero VC pressure to pivot or build AI models that compete with you. We guarantee complete data exclusivity, full IP provenance with 0% copyright risk, and offer scholar-grade domain expertise that standard crowdsourcing platforms simply cannot deploy effectively for frontier models.
How do you handle changes to annotation guidelines mid-project?
Our dedicated project managers and the highly flexible Abaka Forge platform make guideline iterations entirely seamless. We execute continuous Weekly Review and Red Teaming sessions, which allow your team to update rubrics, adjust RL environment parameters, and modify edge-case handling instructions on the fly. This agility prevents disruption while maintaining our peak 500 file per day per annotator throughput standard.
Can we run a pilot before committing to large-scale data processing?
Absolutely. Our standard enterprise engagement model heavily emphasizes a tightly scoped pilot phase during Week 1-2. This essential step allows your team to directly evaluate our annotation quality, test the platform API integration, and ensure our STEM and domain experts precisely align with your model's unique architectural requirements before scaling up to high-volume continuous data delivery pipelines.
Who owns the intellectual property of the custom datasets?
You own 100% of the intellectual property. Your data is exclusively yours—it is never repurposed, resold, or shared to train any internal or third-party competing models. Furthermore, we provide fully traceable dataset sourcing with a strict 0% copyright risk guarantee, ensuring your enterprise maintains total legal, financial, and operational ownership of its frontier AI foundation without compromise.
Do we need to bring our own annotation tooling?
No, you do not need external or fragmented tools. We provide comprehensive access to the Abaka Forge platform, an all-in-one suite specifically designed for data collection, cleaning, annotation, training, and production. However, if you already rely on proprietary internal tooling, our flexible embedded talent can easily integrate and operate seamlessly within your native enterprise environment to maintain your established workflows.
Is there a minimum project size or volume requirement?
While we explicitly specialize in high-volume enterprise pipelines capable of massive scale, we engage highly flexibly. Whether your team requires a hyper-targeted, high-complexity batch of Lean4 math evaluations or continuous, multi-million data point ingestion over several years, we gracefully scale our elite global workforce and custom capture pods to fit exactly your specific project scope and current engineering demands.

Ready to Get Started?

Label the Present. Train the Future.