High-Precision
Multimodal Data Annotation Services

Scale your frontier AI with trustworthy data pipelines across text, image, video, and audio. Ensure 99% accuracy with our globally distributed, domain-expert annotators.

Building next-generation frontier AI requires massive, expertly curated datasets spanning text, image, video, and audio. However, when enterprise teams attempt to manage multimodal data pipelines internally, they quickly encounter severe operational roadblocks. Managing disparate formats simultaneously leads to misaligned bounding boxes, poor temporal synchronization in videos, and fragmented context for large language models. Left unchecked, these data quality failures compound across training cycles, resulting in hallucinating models, drastically delayed deployment timelines by up to 10 weeks, and millions of dollars wasted on computing costs for models trained on noisy, unreliable data that ultimately fails to perform in real-world scenarios.

Overcoming these structural challenges requires a specialized annotation partner built for the complexities of modern multimodal AI development. Abaka AI delivers enterprise-grade multimodal data annotation services that seamlessly align text, audio, and visual inputs within a unified, highly secure pipeline. Leveraging our proprietary Abaka Forge platform, we process complex interleaved datasets up to 50x faster without ever compromising on quality. With access to over one million vertically specialized annotators across more than 50 countries globally, we guarantee 99% precision across every modality. Your proprietary data remains completely segregated and exclusively yours, backed by our absolute zero-percent copyright risk guarantee.

The Multimodal Data Bottleneck

01

Quality Decay

Managing complex interleaved formats frequently results in severe quality degradation when handled by generalist crowds. A mere 5% drop in spatial tracking precision or temporal video alignment can drastically skew the outputs of advanced vision-language models. Without domain-expert oversight, errors compound rapidly across the pipeline, rendering the underlying datasets effectively useless for frontier AI training. Relying on inconsistent, poorly trained annotators ultimately corrupts the model’s core logic, spatial reasoning capabilities, and cross-modal contextual understanding.

02

Volume Walls

Processing millions of multimodal assets manually quickly overwhelms internal engineering and data science teams. Attempting to scale up to 500 complex files per day per annotator using fractured internal tools is impossible and inevitably burns out your highest-value technical talent. When your internal data pipelines hit this rigid volume wall, critical model iterations stall indefinitely, drastically slowing down your go-to-market speed and allowing better-equipped competitors to gain an unassailable edge in the AI landscape.

03

Compliance Friction

Sourcing and annotating diverse, real-world modalities often exposes enterprise teams to massive copyright and data privacy liabilities. Navigating the regulatory landscape across global jurisdictions without strict SOC 2, ISO 27001, and GDPR compliance frameworks creates immense legal risk for organizations. Lacking a highly secure, verifiable chain of custody for collected text, audio, and visual data can completely derail an enterprise AI initiative, forcing catastrophic rollbacks before the model ever reaches the production or commercialization phase.

01

Complex Text and Reasoning Annotation

Empower your large language models with our advanced text annotation pipelines. We specialize in sophisticated reasoning tasks, including Chain-of-Thought (CoT), instruction following, and competition-grade mathematics using Lean4 frameworks. Our scholar-network domains cover complex specialized fields like medicine, law, and science, ensuring that every textual dataset is deeply contextual and highly accurate. By utilizing domain experts rather than generic crowds, we provide the nuanced understanding required for next-generation foundation models to solve complex, multi-layered queries seamlessly.

02

Precision Image Segmentation and Labeling

Transform raw images into actionable intelligence with our pixel-perfect computer vision annotation services. Our specialized global workforce delivers dense image captioning, complex interleaved image-text pairs, and highly precise polygon segmentation. We accurately map 2D layouts and classify nuanced object interactions critical for retail, healthcare, and embodied AI. Leveraging the Abaka Forge platform, we handle massive batches of visual data up to 50x faster, drastically reducing your preprocessing time while maintaining a strict 99% accuracy baseline.

03

Temporal Video Spatial Reasoning

Capture the fluid dynamics of the real world with our comprehensive video annotation and spatial reasoning pipelines. We meticulously track objects across thousands of frames, map temporal actions, and classify events for advanced autonomous systems and security algorithms. By annotating complex temporal sequences, we enable your AI to understand motion, intent, and context over time. Our rigorous quality assurance processes ensure that temporal synchronization remains flawless, providing vision-language models with the exact ground truth needed for deployment.

04

Multilingual Audio and Speech Processing

Build highly responsive conversational AI with our comprehensive audio annotation and transcription services. We process complex speech datasets, sentiment analysis, and multilingual text-to-speech mapping across diverse dialects. By accurately labeling phonetic nuances, background noise, and speaker intent, we equip your models to perform reliably in real-world environments. Our global network operates across 50+ countries, ensuring culturally and linguistically authentic data that drives superior human-computer interaction and highly naturalistic, context-aware speech generation.

05

Advanced 3D and Sensor Fusion Labeling

Accelerate autonomous robotics and vehicular AI with our highly specialized 3D/4D point cloud and sensor fusion annotation. We intricately map LiDAR data and fuse it perfectly with camera outputs to create comprehensive spatial environments. From capturing robust 3D indoor scenes for VR applications to precise road lane delineations for automotive models, our annotators handle complex spatial geometries with unparalleled exactness. This ensures your embodied AI systems navigate the physical world safely, effectively, and intelligently.

06

Multimodal RLHF and Model Alignment

Align your frontier models with human intent using our expert-driven RLHF (Reinforcement Learning from Human Feedback) pipelines. We evaluate and rank complex, multi-turn multimodal outputs, ensuring your agent behaves safely and factually. Our teams rigorously grade text, image, and interleaved visual responses against strict alignment frameworks, tackling bias, factuality, and advanced tool-calling mechanics. This rigorous human-in-the-loop validation process dramatically reduces model hallucinations and guarantees that your AI adheres firmly to enterprise-grade safety standards.

07

Custom 360° Real-World Sourcing

Bypass the limitations of generic public datasets with our on-demand, custom multimodal data capture pods. We deploy specialized teams to physically record 360° real-world environments, gathering synchronized text, image, video, LiDAR, and IoT sensor streams. Every asset we provide is deeply pre-filtered, meticulously curated, timestamped, and perfectly tagged to fit your exact model architecture. We guarantee 0% copyright risk on all collected data, giving you absolute ownership and a pristine foundation for training.

08

Unified Tooling via Abaka Forge

Consolidate your entire data operation with Abaka Forge, our all-in-one platform for multimodal data collection, cleaning, annotation, and training. Abaka Forge natively supports text, video, 3D point clouds, and RLHF workflows in one highly secure environment. Leveraging powerful large-model automation, the platform accelerates your labeling tasks up to 50x faster while ensuring strict SOC 2 and ISO 27001 compliance. It is where human intelligence meets frontier AI, transforming chaotic multimodal files into structured perfection.

Why Outsource Multimodal Data Annotation Services

01

Faster Delivery

Accelerate your product roadmaps by leveraging our massive, global annotation workforce. Our teams work around the clock in 50+ countries, processing millions of complex multimodal assets in a fraction of the time it takes internal teams, drastically reducing your go-to-market timeline.

02

Direct Savings

Eliminate the excessive overhead of recruiting, training, and managing massive in-house labeling teams. With competitive, transparent pricing—like $18/hr for LLM coding or $8/hr for image editing—you transform unpredictable fixed costs into highly efficient, usage-based operational expenses.

03

Risk Reduction

Mitigate severe legal and compliance vulnerabilities with our fully secure, SOC 2, ISO 27001, and GDPR compliant pipelines. We guarantee complete data segregation and 0% copyright risk on collected data, ensuring your proprietary AI models remain safely within regulatory boundaries.

04

Elastic Scalability

Seamlessly dial your annotation bandwidth up or down to match your exact project phases. Whether you need an intense, two-week pilot or a sustained labeling effort processing 500 files per day per annotator, our infrastructure scales instantly without friction.

05

Domain Expertise

Stop relying on generalist crowds to annotate highly specialized modalities. We deploy a sophisticated scholar-network encompassing medicine, law, advanced mathematics, and automotive engineering, ensuring that your most complex multimodal datasets are reviewed exclusively by proven subject matter experts.

06

Innovation Velocity

Free your core machine learning engineers and data scientists from tedious data wrangling. By completely offloading multimodal annotation to our dedicated platform and teams, your highest-value talent can remain hyper-focused on algorithm development, advanced architecture, and breakthrough model capabilities.

Industries We Serve

Automotive

We construct flawlessly synchronized LiDAR and camera fusion datasets to train advanced autonomous driving systems. From meticulous road lane annotation at $3/km to complex pedestrian trajectory tracking across temporal video sequences, we ensure your vehicles interpret real-world spatial environments safely and accurately.

GenAI / Foundation Models

We supply the massive, interleaved text and image datasets required to train next-generation frontier models. Our rigorous RLHF and multi-turn instruction-following annotations guarantee that your foundation models remain highly aligned, factually grounded, and capable of nuanced, multi-layered reasoning.

Embodied AI / Robotics

Our specialized teams annotate sophisticated 3D/4D point clouds and indoor environmental scenes crucial for robotic navigation. By perfectly labeling spatial constraints and object manipulations, we enable embodied AI agents to seamlessly interact with and understand physical, real-world constraints.

Healthcare

We deploy domain-expert annotators from our specialized medical networks to label sensitive clinical text, diagnostic imagery, and procedural video data. Operating strictly within secure, segregated pipelines, we ensure that your healthcare models achieve clinical-grade precision while maintaining absolute data confidentiality.

Retail

We drive the future of intelligent commerce by annotating vast catalogs of product imagery, customer interaction videos, and multilingual sentiment data. Our precise bounding box and dense captioning pipelines empower your retail algorithms to power seamless visual search and highly personalized recommendations.

Finance

Our financial specialists annotate massive troves of multilingual documents, tabular data, and audio transcripts to train robust quantitative models. We meticulously label context, sentiment, and financial logic, allowing your AI to accurately assess risk, detect fraud, and automate complex reporting.

Geospatial

We process massive volumes of satellite imagery, aerial video, and complex 3D topological data for advanced spatial modeling. Our high-precision segmentation enables defense and environmental teams to automatically track infrastructural changes, monitor ecological shifts, and map highly detailed geographic landscapes.

Security / Defense

We strictly adhere to secure, air-gapped protocols to label highly sensitive multimodal defense data. From temporal spatial reasoning in surveillance feeds to advanced threat detection in audio streams, our compliant pipelines provide the uncompromised accuracy required for mission-critical national security AI.

Agriculture / Industrial

We annotate diverse sensor and drone imagery to power the next wave of precision agriculture and automated manufacturing. By classifying crop health, defect anomalies, and IoT sensor streams, we help industrial models optimize yields, predict maintenance needs, and streamline factory operations.

How It Works

1) Day 0–3 — Scoping & Pipeline Setup

We begin by deeply analyzing your multimodal architecture and specific edge cases. Our technical project managers work directly with your data science team to define strict annotation guidelines, select the right domain experts, and configure fully segregated secure pipelines within Abaka Forge.

2) Week 1–2 — Pilot & Calibration

We launch a targeted initial batch of text, image, and video data to calibrate our annotators against your exact standards. During this phase, we iteratively refine edge-case handling, align on formatting nuances, and establish a baseline of 99% accuracy before scaling.

3) Week 2–3 — Scaling & Automation Ramp-Up

Once the pilot is validated, we rapidly onboard hundreds of vetted annotators from our global network. Leveraging large-model automation through Abaka Forge, we increase processing throughput up to 50x, handling thousands of complex, interleaved files daily without sacrificing precision.

4) Ongoing — Continuous Quality Assurance

Our multi-layer QA protocol remains active at every stage. We continuously monitor annotation precision across all modalities, utilizing both advanced model-as-judge heuristics and senior human reviewers to catch subtle temporal or spatial errors before they enter your training loop.

5) Weekly — Review & Adaptation

We hold weekly strategic synchronization meetings with your AI team. As your frontier model evolves and requires new reasoning tasks or visual formats, we seamlessly inject updated guidelines into the workflow, instantly adapting our pipeline to your shifting technological requirements.

Modality & Format Coverage

Our comprehensive data pipelines handle the industry’s most demanding multimodal formats. Powered entirely by Abaka Forge, we seamlessly process interleaved datasets to support next-generation vision-language models and embodied AI systems.

ModalityAnnotation TypesToolsOutput Formats
TextInstruction Following, Lean4 Mathematics, Complex Reasoning (CoT), Dense QAAbaka ForgeJSON, JSONL, CSV, Parquet
LLM RLHFReward Modeling, Multi-Turn Alignment, Factuality Grading, Bias AuditsAbaka ForgeJSONL, Custom API formats, Parquet
ImagePolygon Segmentation, Dense Captioning, Bounding Boxes, Image-Text PairingAbaka ForgeCOCO, YOLO, Pascal VOC, JSON
VideoTemporal Synchronization, Spatial Reasoning, Object Tracking, Action ClassificationAbaka ForgeJSON, XML, CSV, Custom Video Tags
3D/4D Point CloudCuboid Annotation, Indoor Scene Mapping, Spatial Geometries, Object TrackingAbaka ForgePCD, JSON, Custom 3D meshes
LiDAR + Camera fusionSensor Fusion Alignment, Road Lane Mapping, Pedestrian TrajectoriesAbaka ForgeJSON, Proprietary XML, CSV
AudioMultilingual Transcription, Sentiment Analysis, Text-to-Speech AlignmentAbaka ForgeWAV metadata, JSON, VTT, SRT

Success Story

A frontier model lab

A frontier model lab was building a next-generation vision-language model capable of complex temporal spatial reasoning. However, their internal data science team was overwhelmed by the sheer volume of interleaved image, video, and text datasets. Misaligned bounding boxes and poor temporal synchronization in their video feeds were causing catastrophic hallucinations during training. They urgently needed a highly scalable, expert-driven multimodal data annotation pipeline that could manage millions of disparate assets securely while guaranteeing absolute precision for their next model checkpoint.

Abaka AI rapidly deployed a dedicated pod of 400 domain-expert annotators, managed entirely within the SOC 2 compliant Abaka Forge platform. We architected a customized, multi-stage workflow that flawlessly aligned dense image captioning with temporal video tracking and complex conversational text. Leveraging large-model automation, we seamlessly pre-processed raw sensor data, routing difficult edge cases exclusively to senior scholars for intensive, multi-layer review, completely bypassing the quality decay typically associated with generic crowdsourcing platforms.

The partnership completely unblocked the lab’s training cycle, eliminating their internal volume walls in a matter of weeks. Our customized pipeline delivered flawlessly synchronized multimodal assets with 99.4% cross-modal accuracy. The automated capabilities of Abaka Forge yielded a remarkable 70% reduction in data preprocessing times, ultimately accelerating the lab’s overall model deployment by over two months and saving them hundreds of thousands in wasted GPU compute costs.

99%
Guaranteed Annotation Accuracy
70%
Preprocessing Time Reduction
0%
Copyright Risk

By the Numbers

2019
Founded — trustworthy data partner for frontier AI
1M+
Vertically specialized annotators globally
50+
Countries providing diverse multimodal assets
500
Max files/day per annotator throughput

What Customers Say

Handling raw video and complex text interleaved data used to stall our entire engineering team. Partnering with Abaka AI gave us a massive, highly skilled workforce that operates completely in the background. Our vision-language model deployment was accelerated by months.

Head of AI ResearchFrontier AI Lab

The precision they bring to complex LiDAR and camera fusion is simply unmatched. We needed 3D annotations that were absolutely flawless for our autonomous stack. Abaka AI delivered high-quality, perfectly synchronized data at an incredible scale.

Director of PerceptionAutonomous Driving Startup

Security and compliance were our biggest hurdles in handling multimodal medical datasets. Abaka's fully segregated, SOC 2 compliant pipelines and scholar-grade reviewers gave us the confidence to finally scale our clinical AI initiatives.

VP of EngineeringHealthcare Technology Provider

Using Abaka Forge completely transformed how we manage RLHF and multimodal alignment. The platform is incredibly fast, and their transparent pricing meant we could scale our annotation efforts predictability without any unexpected budget blowouts.

Lead ML EngineerEnterprise Robotics Company

Why Choose Abaka

01

Human Intelligence — Data for Frontier AI

We are the trustworthy data partner for organizations building the future of artificial intelligence. We are completely self-funded and profitable, meaning we face zero venture capital or acquisition pressure to compromise on your privacy. We never build models that compete with yours. Your proprietary multimodal data remains exclusively your IP, secured by rigorous compliance standards and zero-percent copyright risk across every modality.

02

Unmatched Global Reach

Leverage a specialized workforce of over 1 million human annotators spanning more than 50 countries, providing authentic, localized intelligence across every text, audio, and visual format.

03

Domain Expert Network

We utilize scholar-grade reviewers across complex verticals—including advanced mathematics, medicine, and engineering—ensuring your multimodal datasets are annotated with deep contextual authority.

04

Enterprise-Grade Security

Operate with absolute peace of mind. Our facilities and pipelines are fully SOC 2, ISO 27001, GDPR, and CCPA compliant, featuring strictly segregated environments and robust NDAs to protect your proprietary IP.

05

Unified Tooling Ecosystem

Eliminate fragmented data operations. The Abaka Forge platform centralizes data collection, advanced cleaning, and multimodal annotation in a single, highly accelerated environment powered by large-model automation.

06

Absolute Transparent Partnership

We operate as a true extension of your ML engineering team. From predictable, volume-based pricing to bespoke project-based or on-site staff augmentation, we adapt to your operational requirements without hidden fees, maximizing your innovation velocity.

Frequently Asked Questions

How much do your multimodal data annotation services cost?
Our pricing is highly transparent and built for enterprise scale, ensuring cost-efficiency across all modalities. For example, generalist STEM text tasks and dense image captioning start at just $6/hr, while advanced image editing is $8/hr. For complex requirements, LLM Math and Coding experts are $18/hr, and autonomous driving road lane annotation is priced straightforwardly at $3/km. Additionally, Abaka Forge platform credits cost $0.20 USD each. We tailor engagement models—whether project-based or long-term staff augmentation—to guarantee predictable expenditures without hidden fees as you scale.
How quickly can you scale up a multimodal annotation pipeline?
We are built for rapid enterprise deployment. We typically establish custom guidelines, configure secure pipelines, and initiate calibration pilots within the first 3 days. By the second week, we confidently ramp up processing volumes using the Abaka Forge platform, comfortably handling hundreds of complex interleaved files per day per annotator. Our elastic workforce allows us to dramatically increase throughput on demand.
What formats and modalities can your team process simultaneously?
Our specialized teams and tooling seamlessly manage complex, interleaved datasets spanning Text, LLM RLHF, Image, Video, 3D/4D Point Clouds, LiDAR plus Camera fusion, and Audio. Abaka Forge ensures precise temporal and spatial synchronization across all formats, allowing your vision-language and embodied models to interpret rich, varied real-world data securely in a single pass.
How do you ensure 99% accuracy across diverse data types?
We strictly utilize vertically specialized domain experts rather than generic crowds for complex annotations. Coupled with our multi-layer QA protocol—which combines advanced model-as-judge heuristics with intensive human review within Abaka Forge—we catch microscopic spatial and temporal errors immediately. This stringent process guarantees a pristine 99% accuracy rate across all multimodal outputs.
How do you secure highly sensitive, proprietary multimodal data?
Security is our foundational priority. We operate strictly within SOC 2, ISO 27001, GDPR, and CCPA compliant frameworks. Your multimodal assets remain in highly secure, logically segregated data pipelines protected by strict NDAs. We provide a fully auditable chain of custody and guarantee that your data is never resold, repurposed, or used to train competing models.
Can you provide multimodal annotation in languages other than English?
Absolutely. With an active workforce spanning over 50 countries, we provide authentic, highly localized annotations for diverse language and audio datasets. From multilingual text-to-speech mapping to complex phonetic sentiment analysis, our native speakers ensure that your conversational models grasp nuanced dialects and cultural contexts worldwide.
How does Abaka AI differ from generic crowdsourcing labeling platforms?
Unlike platforms that rely on untrained, generic crowds, Abaka AI deploys a highly vetted network of scholar-level subject matter experts. We are completely self-funded and profitable, meaning our sole focus is on delivering pristine data for frontier AI, free from VC pressure. Furthermore, we never build competing models; your data is 100% yours, with 0% copyright risk.
How do you handle changing edge cases or evolving guidelines?
Frontier AI development is inherently dynamic. We assign dedicated technical project managers who hold weekly synchronization meetings with your data science teams. When you encounter novel multimodal edge cases, we rapidly refine our annotation rubrics and seamlessly propagate these updated guidelines across our specialized workforce, ensuring immediate pipeline adaptation.
Do you offer a pilot phase for custom multimodal projects?
Yes, every custom engagement begins with a rigorous pilot phase during week one. We process an initial sample batch of text, video, or spatial data to calibrate our annotators strictly against your specific architectural requirements. We do not scale up to full volume until you explicitly approve the output quality, ensuring 99% precision from day one.
Who owns the rights to the captured and annotated data?
You own it entirely. Abaka AI provides full IP provenance with a strict 0% copyright risk guarantee on collected and annotated data. We are a trustworthy data partner; we never repurpose, resell, or retain your proprietary assets. The insights and datasets we generate are exclusively yours to train your frontier models.
Do we have to use Abaka Forge, or can you work in our tools?
While the Abaka Forge platform enables large-model automation and speeds up processing by up to 50x, we are highly flexible. Our expert annotators can seamlessly integrate into your proprietary internal tooling or customized workflows. Whether utilizing our comprehensive platform or seamlessly augmenting your existing stack, we maintain our strict quality and speed guarantees.
What is the minimum project size or engagement required to start?
We support both targeted, project-based contracts and expansive, long-term embedded talent engagements. Because we operate flexibly without strict minimum-scale barriers, we can accommodate teams ranging from stealth start-ups needing intensive pilot data to massive enterprise research labs requiring millions of assets annotated continuously over multiple years.

Ready to Get Started?

Label the Present. Train the Future.