Scale your frontier models with 360-degree real-world capture, multi-layer quality assurance, and zero copyright risk across text, image, video, audio, and LiDAR.
Building foundational AI across multiple modalities requires massive, perfectly synchronized data streams. When relying on fragmented vendors or unspecialized workforce providers, teams hit insurmountable walls. Poor alignment between text and visual inputs, unstructured audio overlays, and noisy LiDAR point clouds can compound into multi-million dollar training setbacks. Without a specialized multimodal firm managing your data pipeline, you face 30–50% higher preprocessing costs, severe timeline delays spanning weeks, and an elevated risk of copyright infringement that jeopardizes model deployment.
Abaka AI transforms the way frontier labs and enterprise teams source, clean, and annotate multimodal data. By unifying 360-degree real-world capture, robust evaluation frameworks, and a globally distributed workforce of 1M+ specialized annotators, we eliminate pipeline friction. Whether you are fusing LiDAR with camera streams for autonomous driving or interleaving text with complex 3D scenes, our self-funded, highly secure infrastructure delivers unparalleled quality at massive scale. Partner with us to future-proof your multi-modal foundation models.
As models ingest vast arrays of unstructured data types—from dense spatial video to interleaved text—the slightest misalignment degrades model reasoning. Unspecialized data pipelines suffer up to a 40% quality decay when fusing modalities, leading to hallucination and poor spatial reasoning in final deployments. Maintaining 99% accuracy across highly distinct data formats demands scholar-grade QA.
Scaling a multimodal dataset from millions to billions of tokens typically grinds progress to a halt. Traditional vendors lack the infrastructure to efficiently handle simultaneous 3D point cloud annotations and massive video spatial reasoning tasks. This volume wall extends data collection cycles by 8–12 weeks, severely bottlenecking your engineering team’s algorithm development.
Sourcing diverse audio, video, and text data from the open web exposes frontier labs to devastating legal liabilities. Complex licensing rules create immense compliance friction, threatening entire model builds. Navigating IP provenance requires strict, segregated secure pipelines to guarantee 0% copyright risk on every piece of collected multi-modal data.
Deploy on-demand custom capture pods to source highly diverse multimodal datasets. From IoT sensor arrays to complex 4D LiDAR and high-resolution video, our collection pipelines deliver pre-filtered, curated, and timestamped data, completely eliminating copyright risks while reducing preprocessing times by up to 70%.
Train embodied AI and foundation models with unparalleled visual context. Our specialized workforce annotates dynamic video sequences, multi-frame object tracking, and complex interleaved image data, ensuring precise bounding boxes and deep contextual descriptions at scale with guaranteed 99% accuracy.
Elevate your instruction-following capabilities through scholar-network domains. We provide specialized RLHF, creative writing, multi-turn conversational data, and Lean4 mathematical reasoning, executed by domain experts to ensure superior alignment, factuality, and nuance for frontier large language models.
Fuel your conversational AI with diverse, transcribed, and accurately timestamped audio datasets. Covering over 50 countries and a multitude of languages, our audio pipelines ensure exact phonetic alignment, sentiment tagging, and natural language understanding for next-generation speech-to-text models.
Accelerate autonomous driving and robotics with high-fidelity spatial data. We specialize in 3D indoor scenes, continuous LiDAR tracking, and complex sensor fusion tasks, delivering impeccably labeled spatial structures that empower embodied agents to navigate real-world environments safely.
Ensure deployment safety with our 6-dimensional evaluation framework. We blend objective benchmarks, model-as-a-judge pipelines, and expert human red teaming to audit your multimodal models across alignment, bias, factuality, and complex tool-calling capabilities prior to real-world launch.
Centralize your multimodal workflow within Abaka Forge. Our all-in-one platform seamlessly handles everything from collection and cleaning to sophisticated RLHF and 3D annotation. Powered by large-model automation, Forge accelerates your data preparation by up to 50x.
Augment your internal workforce with our dedicated teams of annotation specialists, algorithm developers, and model training engineers. Whether you need short-term project support or long-term on-site integration, our elite talent seamlessly integrates into your existing ML infrastructure.
By offloading complex data sourcing and labeling to a specialized multimodal firm, you accelerate your model training timeline by 2–3 weeks. Our large-model automation and vast global workforce deliver meticulously clean data up to 50x faster than fragmented in-house workflows.
Eliminate the overhead of managing disjointed vendor pools, tooling subscriptions, and transient annotators. With Abaka AI handling end-to-end data pipelines, our clients realize massive operational cost savings while maximizing the efficiency of every dollar spent on foundation model training.
Protect your proprietary models and corporate reputation with our SOC 2 and ISO 27001 compliant infrastructure. We guarantee strict NDAs, fully segregated secure pipelines, and 100% data provenance, providing total immunity against copyright claims on collected content.
Scale instantly from thousands to billions of multimodal data points. Whether your latest iteration demands sudden surges in 3D point cloud annotation or multi-lingual RLHF tasks, our platform and 1M+ active annotators dynamically adjust to your precise bandwidth needs.
Leverage our scholar-network covering mathematics, coding, medicine, and law. When interleaving complex modalities, you benefit from highly educated specialists who deeply understand nuanced contexts, ensuring the highest standards of reasoning and factual accuracy.
Free your ML engineers from tedious data wrangling and pipeline debugging. By partnering with a self-funded, trustworthy data partner, your top talent can focus purely on algorithm development, pushing the boundaries of what your multimodal foundation AI can achieve.
Power Tier-1 autonomous driving programs with perfectly annotated LiDAR and camera fusion data. We deliver robust 3D/4D bounding boxes and lane demarcations, ensuring autonomous agents safely navigate complex, unstructured real-world conditions.
Fuel the next generation of frontier foundation models. We provide scholar-grade RLHF, multi-turn conversational data, and deep reasoning sets across text and interleaved images, vastly improving model alignment, factuality, and creative capabilities.
Train sophisticated robotic agents to interact seamlessly with physical spaces. Our custom RL environment designs and complex 3D spatial annotations give embodied AI the spatial awareness required for advanced manipulation and dynamic human-robot interaction.
Accelerate medical AI breakthroughs with highly secure, SOC 2 compliant data pipelines. Our scholar-network of medical professionals meticulously annotates complex diagnostic imagery and specialized clinical text to improve patient outcomes safely.
Transform retail analytics and virtual commerce. We capture and annotate vast datasets of product imagery, stock video, and in-store sensor data, enabling models to power highly personalized shopping assistants and automated inventory tracking systems.
Enhance algorithmic trading and fraud detection capabilities. Our experts extract and label nuanced reasoning from complex financial texts, dense market reports, and historical data, empowering AI to synthesize vast streams of business intelligence securely.
Map the physical world with precision. We process dense aerial imagery and complex LiDAR point clouds, delivering the precise spatial annotations required for advanced geographic information systems, climate modeling, and urban planning automation.
Support critical defense infrastructure with fully segregated, highly secure data pipelines. We handle sensitive multi-modal sensor inputs and comprehensive red-teaming evaluations, ensuring robust, reliable model performance in high-stakes environments.
Automate industrial inspection and precision farming. We annotate vast streams of drone video, IoT sensor data, and multi-spectral imagery, training models to identify crop health anomalies, manufacturing defects, and supply chain inefficiencies.
We align on your specific multimodal requirements, from interleaved image setups to complex text reasoning. Our team establishes secure, segregated pipelines, configures Abaka Forge tooling, and deploys specialized capture pods to begin immediate, 360-degree real-world sourcing.
Our infrastructure rapidly ingests multi-modal data streams across audio, video, LiDAR, and text. We execute comprehensive pre-filtering and timestamping to eliminate noise, guaranteeing full IP provenance and laying a clean foundation for large-scale annotation.
Our scholar-network of specialized annotators takes over, labeling complex formats simultaneously. Utilizing large-model automation within Abaka Forge, we perform rigorous multi-layer quality assurance, ensuring 99% accuracy across all diverse data structures.
As models train on the newly formatted data, we conduct continuous 6-dimensional evaluations. Our experts deploy human-in-the-loop red teaming and model-as-a-judge pipelines to vigorously test alignment, factuality, and cross-modality tool calling.
We hold dedicated weekly reviews with your engineering teams to refine annotation rubrics and scale data volumes. As your multimodal models evolve, our elastic workforce and platform effortlessly pivot to support new modalities and specialized tasks.
Abaka Forge provides an all-in-one environment capable of processing perfectly synchronized multi-modal data. Our proprietary platform seamlessly unites specialized tooling to handle diverse structures with unparalleled precision.
| Modality | Annotation Types | Tools | Output Formats |
|---|---|---|---|
| Text | Sentiment Analysis, NER, Coreference Resolution, Q&A | Abaka Forge | JSON, CSV, JSONL, XML |
| LLM RLHF | Instruction Following, Red Teaming, Factuality Ranking | Abaka Forge | JSONL, Parquet, Custom API |
| Image | Bounding Boxes, Polygons, Dense Captioning | Abaka Forge | COCO, Pascal VOC, YOLO |
| Video | Spatial Reasoning, Object Tracking, Action Recognition | Abaka Forge | MP4, JSON, CSV sequences |
| 3D/4D Point Cloud | Cuboids, Semantic Segmentation, Multi-frame Tracking | Abaka Forge | PCD, JSON, Custom 3D |
| LiDAR + Camera fusion | Sensor Alignment, Continuous Tracking, Sensor Fusion | Abaka Forge | JSON, ROSbag, Parquet |
| Audio | Transcription, Phonetic Alignment, Speaker Diarization | Abaka Forge | WAV, MP3, TextGrid, JSON |
A frontier model lab was building a next-generation multimodal foundation model, attempting to fuse complex instruction-following text with dense video spatial reasoning. Their existing vendor network failed to synchronize data streams, resulting in severe 30% quality decay and pervasive hallucinations when the model encountered interleaved visual and textual inputs. They urgently needed a unified multimodal firm capable of rapid data capture, precise alignment, and massive elastic scaling.
Abaka AI deployed a dedicated embedded talent team alongside full access to Abaka Forge. We orchestrated custom capture pods to source highly diverse, 360-degree real-world video and paired text, ensuring 0% copyright risk. Our specialized scholar-network then performed rigorous, synchronized multi-layer QA across the diverse modalities, dramatically improving the structural alignment of the RLHF and spatial reasoning datasets.
The unified approach entirely eliminated their data pipeline fragmentation. The lab successfully scaled their training set from tens of millions to over a billion highly synchronized multimodal tokens. Processing times were slashed, accelerating algorithm deployment by 3 full weeks, while overall model spatial reasoning accuracy achieved a pristine 99% standard across all benchmarks.
Consolidating our data streams with a specialized multimodal firm completely transformed our pipeline. Abaka seamlessly fused our LiDAR and video data, providing the pristine accuracy we needed to train our autonomous agents.
The scholar-grade expertise Abaka brings to text and image interleaving is unparalleled. They eliminated the quality decay we were experiencing with fragmented vendors and accelerated our model delivery significantly.
Security and IP provenance were our top concerns. Abaka's fully segregated secure pipelines guaranteed zero copyright risk on our collected multimodal datasets, giving us total peace of mind.
The large-model automation inside Abaka Forge sped up our data preparation by 50x. Having a single partner handle 3D point clouds and RLHF text has dramatically lowered our operational overhead.
Unlike competitors who recycle insights, we guarantee your multimodal data is exclusively yours—never repurposed, resold, or shared. As a self-funded and profitable partner with zero VC or acquisition pressure, we never build models that compete with you. We operate strictly as an extension of your AI team, ensuring every annotated video, aligned text, and processed 3D point cloud remains your protected IP.
Our globally distributed workflows are backed by SOC 2, ISO 27001, GDPR, and CCPA compliance. We ensure complete IP provenance and strictly segregated networks for absolute peace of mind.
Leverage highly educated specialists in math, medicine, and coding. We guarantee that your complex instruction-following and multimodal reasoning datasets are labeled with deep contextual understanding.
Source completely unique, high-fidelity data across text, audio, image, and LiDAR via on-demand custom capture pods. We provide pre-filtered, perfectly timestamped inputs that dramatically cut down preprocessing cycles.
Through a combination of expert human intelligence and rigorous large-model automation via Abaka Forge, we deliver flawlessly aligned datasets, preventing the quality decay that breaks advanced foundation models.
We don't just supply data; we ensure your models are safe and robust. Our evaluation matrix covers alignment, bias, factuality, multi-modality, coding, and reasoning using objective benchmarks and expert human red teaming.
Annotate the Present. Train the Future. Secure your multimodal data pipeline today.
