Frontier Multimodal Data for Foundation Model Labs
Verita AI works with leading labs to power multimodal models that reason, create, and interpret with
human-level taste and judgment.
Book a Demo
Backed by top execs from
Human oversight is essential at this stage of AI agent development. Verita gives us the infrastructure to move fast.
Div Garg
CEO, AGI Inc.
The Verita AI Stack
Understanding the Multimodal Frontier
The next wave of AI will not just process language. It will interpret visuals, grasp tone, respond to emotion, and generate truly human-like outputs. Multimodal reasoning is the key to this evolution, combining text, image, audio, and video to help machines navigate the full spectrum of human expression. At Verita AI, we design data pipelines that train and evaluate models to think beyond language, enabling richer interactions and real-world applications across UX, creative writing, design, education, and more.
Challenges of Multimodal Intelligence
Training models that excel across modalities requires more than just data volume. It demands quality, nuance, and deep human expertise. Effective multimodal AI hinges on curated datasets that capture complex interactions across visual, auditory, and textual signals. But collecting, annotating, and validating this data is challenging without the right workflows or domain specialists. Verita AI solves this with structured expert pipelines, ensuring your models learn from the kind of signals that reflect human taste, context, and judgment.
How Verita AI Helps
Verita AI brings deep expertise in curating high-quality multimodal data across text, image, audio, and video. Our platform supports seamless collaboration with expert annotators, custom task design, and scalable workflows tailored to frontier AI research. With built-in quality control and domain-specific teams, we help you train and evaluate models that perform reliably in complex, real-world scenarios.
Training the
Next Generation of Multimodal Intelligence
Text and image integration
Train models to understand and reason across visual and textual inputs. We support tasks like image captioning, visual question answering, and creative content generation by pairing high-quality image and text data.
Audio and speech processing
Build voice assistants, transcription systems, and audio agents with real-world audio and speech data. We help train models to understand intent, tone, and context across spoken language.
Video and visual data analysis
Support complex video tasks such as scene interpretation, multimodal grounding, and content moderation. We structure video data into rich temporal and frame-level training signals for better model comprehension.
Cross-modal information retrieval and contextual understanding
Improve model performance in retrieval, ranking, and generation by structuring datasets that span text, image, audio, and video. We help models learn context from multimodal signals and deliver more relevant outputs.
Multimodal content generation
We train models to create expressive and high-quality content across text, images, audio, and video. This enables more humanlike, intuitive, and dynamic user experiences.
Evaluation and fine-tuning for taste
We evaluate and fine-tune models on subjective qualities like clarity, beauty, emotional tone, and brand alignment. Our expert annotators bring the human lens to model judgment in creative and non-verifiable domains.
Expert Data, Built for Performance
We specialize in hard-to-label data that requires real reasoning. From SFT and RLHF to multimodal evaluations and edge-case identification, every task is handled by domain-trained annotators, QA’d by our internal reviewers, and aligned to your model’s goals. Quality isn’t an afterthought, it is our operating principle.
Scale With Confidence
Verita AI delivers high-volume annotation across modalities such as text, image, audio, video, and code through a fully managed workforce of vetted experts. Whether you’re ramping up for a new foundation model or scaling an existing agent pipeline, our ops team ensures every hour is optimized for throughput, accuracy, and reliability.
Agile Execution, Research-Aligned
Our workflows are built to move at the pace of your research. We work closely with your team to scope fast pilots, run quick iterations, and scale what works. You stay focused on model development and we handle the coordination, staffing, and delivery.
Incentivizing expert creativity for high-quality AI data
Our human-in-the-loop data engine is designed to attract top-tier talent across creative, reasoning, and multimodal domains. Whether it’s crafting detailed writing prompts, evaluating LLM outputs, or generating nuanced image-text pairs, we engage experts through structured challenges that reward originality, depth, and precision. We blend purpose-built task design with a gamified interface to unlock intrinsic motivation from professional writers, designers, PhDs, and domain experts. This drives scalable, high-quality data generation for fine-tuning, RLHF, and evaluation.
Our Process for Delivering High Quality Data
Strategic Evaluation & Gap Analysis
Domain-Expert Data Creation
Layered Quality Control
Transparent Delivery with Insights
Whether you come in with well-defined requirements or prefer to co-develop a strategy, our private benchmarking tools help you understand exactly where your model struggles. Start by telling us about your internal goals or run a code benchmark with us to uncover model weaknesses. Together, we’ll scope the data types, edge cases, and annotation formats required to close those gaps.
Subjective Reasoning
At Verita AI, we focus on teaching models taste, the subtle, subjective quality that defines human judgment in non-verifiable domains like writing, design, front-end UX, imagery, and video. We specialize in multimodal training and evaluation, across text, image, audio, and video. Our annotators bring creative and domain-specific expertise to help models perform in the places where logic meets intuition. Because the future of AI isn’t just factual, it’s aesthetic, human, and deeply multimodal.
Expertise and experience
Verita AI is built by engineers and operators from
Frontier Multimodal Data for Foundation Model Labs
Verita AI works with leading labs to power multimodal models that reason, create, and interpret with
human-level taste and judgment.
Book a Demo
Supervised Fine Tuning
Reinforcement Learning Environments
Reinforcement Learning with Human Feedback
Backed by top execs from
Human oversight is essential at this stage of AI agent development. Verita gives us the infrastructure to move fast.
Div Garg
CEO, AGI Inc.
The Verita AI Stack
Understanding the Multimodal Frontier
The next wave of AI will not just process language. It will interpret visuals, grasp tone, respond to emotion, and generate truly human-like outputs. Multimodal reasoning is the key to this evolution, combining text, image, audio, and video to help machines navigate the full spectrum of human expression. At Verita AI, we design data pipelines that train and evaluate models to think beyond language, enabling richer interactions and real-world applications across UX, creative writing, design, education, and more.
Challenges of Multimodal Intelligence
Training models that excel across modalities requires more than just data volume. It demands quality, nuance, and deep human expertise. Effective multimodal AI hinges on curated datasets that capture complex interactions across visual, auditory, and textual signals. But collecting, annotating, and validating this data is challenging without the right workflows or domain specialists. Verita AI solves this with structured expert pipelines, ensuring your models learn from the kind of signals that reflect human taste, context, and judgment.
How Verita AI Helps
Verita AI brings deep expertise in curating high-quality multimodal data across text, image, audio, and video. Our platform supports seamless collaboration with expert annotators, custom task design, and scalable workflows tailored to frontier AI research. With built-in quality control and domain-specific teams, we help you train and evaluate models that perform reliably in complex, real-world scenarios.
Training the
Next Generation of Multimodal Intelligence
From vision-language agents to audio copilots, we power models with expert human judgment across every modality.
Expert Data, Built for Performance
We specialize in hard-to-label data that requires real reasoning. From SFT and RLHF to multimodal evaluations and edge-case identification, every task is handled by domain-trained annotators, QA’d by our internal reviewers, and aligned to your model’s goals. Quality isn’t an afterthought, it is our operating principle.
Scale With Confidence
Verita AI delivers high-volume annotation across modalities such as text, image, audio, video, and code through a fully managed workforce of vetted experts. Whether you’re ramping up for a new foundation model or scaling an existing agent pipeline, our ops team ensures every hour is optimized for throughput, accuracy, and reliability.
Agile Execution, Research-Aligned
Our workflows are built to move at the pace of your research. We work closely with your team to scope fast pilots, run quick iterations, and scale what works. You stay focused on model development and we handle the coordination, staffing, and delivery.
Incentivizing expert creativity for high-quality AI data
Our human-in-the-loop data engine is designed to attract top-tier talent across creative, reasoning, and multimodal domains. Whether it’s crafting detailed writing prompts, evaluating LLM outputs, or generating nuanced image-text pairs, we engage experts through structured challenges that reward originality, depth, and precision. We blend purpose-built task design with a gamified interface to unlock intrinsic motivation from professional writers, designers, PhDs, and domain experts. This drives scalable, high-quality data generation for fine-tuning, RLHF, and evaluation.
Our Process for Delivering High Quality Data
Strategic Evaluation & Gap Analysis
Domain-Expert Data Creation
Layered Quality Control
Transparent Delivery with Insights
Whether you come in with well-defined requirements or prefer to co-develop a strategy, our private benchmarking tools help you understand exactly where your model struggles. Start by telling us about your internal goals or run a code benchmark with us to uncover model weaknesses. Together, we’ll scope the data types, edge cases, and annotation formats required to close those gaps.
Subjective Reasoning
At Verita AI, we focus on teaching models taste, the subtle, subjective quality that defines human judgment in non-verifiable domains like writing, design, front-end UX, imagery, and video. We specialize in multimodal training and evaluation, across text, image, audio, and video. Our annotators bring creative and domain-specific expertise to help models perform in the places where logic meets intuition. Because the future of AI isn’t just factual, it’s aesthetic, human, and deeply multimodal.
Expertise and experience
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Verita AI is built by engineers and operators from
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