Human Intelligence for Frontier Models:
Data Annotation and Labeling Services

Scale your AI pipelines with 99% accuracy using 1M+ vertically specialized annotators across 50+ countries, delivering zero copyright risk and fully provenanced data.

In the race to build frontier AI models, poor data quality is a silent project killer. When teams rely on generalist crowdsourcing for complex tasks like video spatial reasoning, Lean4 mathematics, or dense point-cloud fusion, the results are plagued by errors. This forces highly paid ML engineers to spend weeks cleaning datasets rather than training models. Without rigorous, scholar-grade data annotation and labeling services, model hallucinations spike, deployment timelines extend by months, and millions of dollars in compute are wasted on retraining runs fueled by flawed inputs.

Abaka AI eliminates this bottleneck by treating data as a precision engineering discipline. We deploy a global workforce of over one million vetted, vertically specialized annotators—from doctors to software developers—across more than 50 countries. Combined with our proprietary Abaka Forge platform, which leverages large-model automation to speed up workflows by 50x, we deliver the human intelligence required for rigorous LLM RLHF, complex 3D tracking, and high-stakes reasoning. Your data remains exclusively yours, fully secure, and meticulously formatted for immediate training.

The Data Annotation Bottleneck

01

Quality Decay

Generalist labelers struggle with advanced reasoning, coding, and spatial tasks, leading to rapid quality decay in training data. This inaccuracy creates compounding errors in foundation models, requiring weeks of expensive rework and manual engineer reviews.

02

Volume Walls

Scaling from thousands to millions of annotated pairs often breaks standard vendor pipelines. Teams hit volume walls as throughput maxes out, drastically stalling the model training lifecycle and delaying product launches by months.

03

Compliance Friction

Unclear data provenance and sloppy IP tracking expose organizations to massive copyright risks. Compliance friction slows down enterprise deployment, especially in strict regulatory environments demanding SOC 2, ISO 27001, and GDPR adherence.

01

Advanced LLM Reasoning and Math

We source scholar-network domain experts to annotate and verify complex reasoning tasks, including Chain-of-Thought (CoT), Lean4 mathematics, and high-level logic. With specialized annotators, you achieve 99% accuracy on competition-grade datasets.

02

Coding and Instruction Following

Our expert software developers label, evaluate, and red-team code generation outputs across dozens of programming languages. Ensure robust defensive coding capabilities and strict instruction following with multi-layer QA.

03

Video Spatial Reasoning & Tracking

Tackle next-generation computer vision with frame-by-frame video spatial reasoning. We annotate complex interleaved visual sequences to power embodied AI, autonomous robotics, and advanced predictive video models.

04

3D Point Cloud and LiDAR Fusion

High-precision annotation for 3D/4D point clouds and LiDAR-camera fusion. From road lane marking to dense indoor scene mapping, we deliver critical data for autonomous driving programs and VR applications.

05

RLHF and Human Preference Alignment

Align your frontier models with human values using rigorous Reinforcement Learning from Human Feedback. Our specialized teams rank outputs for safety, helpfulness, and factuality to mitigate bias and hallucinations.

06

Dense Image Captioning & Interleaved

Unlock the power of multimodal foundation models with highly descriptive, dense image captioning. We label complex visual relationships, text-in-image instances, and multi-object environments with precision.

07

Agent Training and RL Environments

Capture realistic Human-Computer Interaction (HCI) trajectories for agentic AI. We provide step-by-step UI navigation data and custom RL environment designs to train autonomous digital agents.

08

Multilingual Audio and Speech Mapping

Scale globally with audio transcription, translation, and text-to-speech alignment across 50+ countries. We capture nuances in tone, dialect, and sentiment to power conversational AI in diverse languages.

Why Outsource Data Annotation

01

Faster Delivery

Eliminate prolonged setup times by leveraging our 1M+ pre-vetted global workforce. We ramp up annotation teams instantly, ensuring rapid data delivery that keeps your frontier model training schedules strictly on track.

02

Direct Savings

Reduce overhead by paying only for output. Avoid the massive hidden costs of recruiting, managing, and provisioning software for in-house labelers, allowing your budget to stretch further for GPU compute.

03

Risk Reduction

Mitigate legal and regulatory hazards with our strict data provenance, 0% copyright risk, and secure SOC 2 / ISO 27001 pipelines. Your data remains exclusively yours, guarded by robust NDAs.

04

Elastic Scalability

Seamlessly scale your data pipelines from hundreds to millions of units. Our managed workforce and optimized Abaka Forge platform handle massive volume spikes without sacrificing our 99% accuracy baseline.

05

Domain Expertise

Access scholar-network reviewers for niche domains rather than relying on untrained crowds. From medicine to Lean4 math, we match the exact vertical expertise required for your specialized tasks.

06

Innovation Velocity

Free your ML engineers from the burden of manual data cleaning. By outsourcing to Abaka AI, your team can refocus entirely on algorithm development, architecture, and pushing the boundaries of AI.

Industries We Serve

Automotive

Powering Tier-1 autonomous driving programs with hyper-accurate LiDAR-camera fusion, 3D/4D point cloud tracking, and road lane annotations at $3/km, ensuring safety in complex real-world driving environments.

GenAI / Foundation Models

Providing frontier model labs with rigorous RLHF, complex instruction following, and CoT reasoning data. We align multimodal and text generation systems with expert human intelligence for 99% accuracy.

Embodied AI / Robotics

Fueling physical automation with meticulously labeled spatial reasoning, custom RL environment setups, and multi-sensor fusion data to train responsive, real-world robotic agents.

Healthcare

Deploying credentialed medical professionals to annotate specialized clinical texts, medical imagery, and biological data, strictly within isolated, secure pipelines for advanced diagnostic AI research.

Retail

Enhancing computer vision for checkout-free stores and e-commerce visual search through precise image segmentation, dense captioning, and multi-object tracking in dynamic shopping environments.

Finance

Training robust financial analysis models and intelligent agents using secure, highly regulated data pipelines. We label intricate business and financial documents for accurate entity extraction and sentiment analysis.

Geospatial

Labeling massive satellite imagery and aerial LiDAR datasets for urban planning, defense, and environmental monitoring, leveraging multi-layer QA to identify microscopic topographical changes.

Security / Defense

Operating strictly under isolated, compliant data pipelines to annotate highly sensitive visual and text streams, ensuring the highest standards of confidentiality and precision for defense applications.

Agriculture / Industrial

Supporting precision farming and defect detection models with specialized annotations of crop health imagery, drone footage, and industrial IoT sensor data to optimize global supply chains.

How It Works

1) Day 0–3 — Scoping & Calibration

We partner with your ML team to define exact annotation guidelines, establish quality benchmarks, and provision isolated, secure pipelines within the Abaka Forge platform. We assign specialized domain experts.

2) Week 1–2 — Pilot & Review

A dedicated pod begins annotating a pilot batch of your data. We rigorously review the outputs alongside your team, fine-tuning edge cases, updating instructions, and calibrating our multi-layer QA process.

3) Week 2–3 — Production Ramp-Up

We scale operations seamlessly, unlocking up to 500 files per day per annotator. The workflow integrates large-model automation to pre-label inputs, reducing overall preprocessing time by up to 70%.

4) Ongoing — Continuous Delivery

Batches of highly accurate, formatted data are delivered continuously to your endpoints. Our robust platform ensures 99% accuracy is maintained even as volume increases to millions of units.

5) Weekly — Analytics & Optimization

You receive detailed weekly reporting on throughput, accuracy metrics, and budget utilization. We continuously refine the RLHF feedback loops and workforce allocation to maximize efficiency and data quality.

Modality & Format Coverage

Our data annotation and labeling services span all major modalities, processed efficiently through the Abaka Forge platform. We deliver precise, training-ready formats tailored to your proprietary architecture.

ModalityAnnotation TypesToolsOutput Formats
TextEntity Extraction, Sentiment, Instruction Following, ReasoningAbaka ForgeJSON, JSONL, CSV
LLM RLHFRanking, Factuality Checks, Red Teaming, Bias AuditsAbaka ForgeJSONL, Parquet, Custom API
ImageDense Captioning, Bounding Boxes, Polygons, SegmentationAbaka ForgeCOCO, YOLO, Pascal VOC
VideoSpatial Reasoning, Object Tracking, Action RecognitionAbaka ForgeJSON, MP4+XML, Custom
3D/4D Point CloudCuboids, Semantic Segmentation, Object TrackingAbaka ForgePCD, JSON, custom formats
LiDAR + Camera fusionSensor Alignment, Multi-Sensor Tracking, Road LanesAbaka ForgeJSON, Rosbag-derived, custom
AudioTranscription, Multilingual TTS Alignment, EmotionAbaka ForgeWAV+JSON, TextGrid

Success Story

A frontier model lab

A frontier model lab was struggling to scale their complex mathematical and coding reasoning datasets. Crowdsourced platforms failed to comprehend high-level Lean4 logic, resulting in high error rates and forcing expensive in-house ML engineers to spend weeks validating thousands of flawed prompts. They urgently needed a highly scalable, scholar-grade data annotation service that could handle extreme complexity without compromising delivery speed or data security.

Abaka AI deployed a specialized pod from our scholar network, exclusively recruiting advanced math and computer science professionals. Operating securely within the Abaka Forge platform, this dedicated workforce leveraged large-model automation to tackle the initial data structuring. Our multi-layer QA process ensured rigorous validation of every CoT pathway and defensive coding output, fully isolating the pipeline to guarantee 0% copyright risk and absolute IP protection.

The lab achieved an unprecedented 99% accuracy on competition-grade reasoning benchmarks. By offloading the complex annotation process, their internal team reduced preprocessing time by 70%, accelerating the model’s training schedule by over three months. The highly accurate data eliminated the need for costly retraining runs, saving the organization millions in compute resources while successfully pushing their model to the frontier of reasoning capabilities.

99%
Data Accuracy
70%
Preprocessing Time Reduction
0%
Copyright Risk

By the Numbers

1M+
Vertically specialized annotators globally
50+
Countries providing local domain expertise
2019
Founded — trustworthy data partner for AI
500
Max files/day per annotator throughput

What Customers Say

Abaka AI’s scholar-network changed everything for our reasoning capabilities. We tried generic labeling services before, but only Abaka’s math and coding experts could accurately evaluate our complex Lean4 outputs at scale.

Director of Applied MLFrontier LLM Lab

The 3D point cloud and LiDAR fusion annotations provided by Abaka are impeccably accurate. Their ability to deliver road lane annotations seamlessly integrated into our training pipeline, shaving weeks off our schedule.

Head of PerceptionTier-1 Autonomous Driving Program

Scaling our RLHF data collection was daunting until we partnered with Abaka. Their platform sped up our preprocessing by 70%, and their strict adherence to SOC 2 and NDAs gives our enterprise clients complete peace of mind.

VP of AI EngineeringEnterprise AI Startup

We needed specialized medical professionals to annotate clinical imagery. Abaka AI provided a global network of vetted experts that maintained an astounding 99% accuracy rate across thousands of complex visual files.

Lead AI ResearcherHealthcare Technology Provider

Why Choose Abaka

01

Uncompromising Data Ownership

We never build models that compete with you, ensuring your intellectual property remains exclusively yours. Unlike competitors who might repurpose your custom datasets, Abaka AI guarantees 0% copyright risk on collected data. You retain full IP provenance, and your data is never resold or shared, allowing you to train frontier models with absolute confidence.

02

Scholar-Network Experts

We employ a vetted global workforce covering complex domains like Coding, Mathematics, Medicine, and Law. This ensures unparalleled precision for specialized tasks.

03

Self-Funded & Profitable

Operating without VC pressure since 2019, our focus is entirely on being a trustworthy data partner, prioritizing your long-term success over short-term metrics.

04

Strict Compliance Pipelines

Our infrastructure adheres strictly to SOC 2, ISO 27001, GDPR, and CCPA standards. We process all annotations within segregated, secure pipelines guarded by rigorous NDAs to protect your most sensitive information.

05

Abaka Forge Acceleration

Our proprietary all-in-one platform combines collection, cleaning, and annotation. By leveraging large-model automation, we execute workflows up to 50x faster than traditional manual labeling platforms.

06

End-to-End Multimodality

From complex LLM RLHF and 3D/4D point cloud fusion to multilingual speech mapping, we handle all data modalities under one roof. Our unified approach eliminates vendor sprawl and guarantees consistent quality.

Frequently Asked Questions

How much do your data annotation and labeling services cost?
We offer highly competitive, transparent per-hour pricing tailored to the complexity of the task. For example, general STEM labeling is $12/hr, while advanced LLM Math/Coding is $18/hr. Image Editing tasks are priced at $8/hr, and Dense Captioning is $6/hr. For specialized automotive tasks, we offer road lane annotation at $3/km.
What is the typical turnaround time for a data labeling project?
Turnaround times vary based on volume and complexity. Scoping and pilot phases typically take 1–2 weeks. Once the production ramp-up is complete by week 3, our annotators can hit a maximum throughput of 500 files per day per annotator, ensuring continuous, rapid delivery for time-sensitive models.
Which data modalities and formats do you support?
We cover Text, LLM RLHF, Image, Video, 3D/4D Point Cloud, LiDAR + Camera fusion, and Audio. Outputs can be formatted into standard JSON, COCO, YOLO, PCD, and Custom APIs, all processed seamlessly via the Abaka Forge platform to integrate with your training environment.
How do you ensure high accuracy in complex data labeling?
We guarantee up to 99% accuracy through our multi-layer QA framework and by utilizing our scholar-network of vertical experts. Instead of untrained crowds, we deploy specialized professionals and leverage Abaka Forge's large-model automation for highly consistent quality checks.
Is my sensitive data secure during the annotation process?
Yes. Abaka AI is fully compliant with SOC 2, ISO 27001, GDPR, and CCPA. We mandate strict NDAs for all annotators and process your files within completely segregated, secure pipelines to prevent any unauthorized access or data leakage.
Do you provide multilingual data annotation services?
Absolutely. With annotators located in over 50 countries, we provide native-level expertise for multilingual audio, text translation, and localized RLHF alignment, ensuring cultural nuances and language intricacies are captured perfectly.
How does Abaka AI differ from other data annotation vendors?
Unlike vendors that crowdsource cheap labor, we provide a vertically specialized 1M+ workforce. More importantly, we are a trustworthy partner: we are self-funded, highly profitable since 2019, and we never build competitive models. Your data remains completely private.
Can we adjust the annotation guidelines mid-project?
Yes. We maintain a flexible partnership. During our weekly analytics and optimization reviews, you can request changes to labeling instructions, and our dedicated project pods will immediately calibrate to your new requirements without losing momentum.
Do you offer a pilot phase before full-scale production?
Yes, every major engagement begins with a pilot phase in Weeks 1-2. A dedicated pod annotates a small batch of data for your team to review, allowing us to align on edge cases and finalize quality benchmarks before scaling.
Who owns the intellectual property of the annotated data?
You do. Your data is exclusively yours. We guarantee 0% copyright risk on collected data and full IP provenance. We never repurpose, resell, or share your proprietary datasets with third parties or use them for our own models.
Do we have to use your software, or can you work in our tooling?
While our Abaka Forge platform accelerates processing by 50x via large-model automation (with credits at $0.20 USD each), our annotators can securely integrate into your proprietary annotation tools and isolated environments if required.
Is there a minimum project size for your data labeling services?
We support a wide range of project sizes, from high-precision niche pilot datasets to massive multi-million unit scale-ups. Please reach out to our team to discuss your specific volume requirements and get a tailored workflow estimate.

Ready to Get Started?

Label the Present. Train the Future. Partner with Abaka AI for specialized, secure data annotation.