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.
reinforcement learning
Supervised Fine Tuning
Reinforcement Learning
Reinforcement Learning with Human Feedback
Training the Next Generation of Multimodal Intelligence
From vision-language agents to audio copliots, we power models with expert human judgment across every modality.
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.
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.
Industry-Specific Customization
Train your multimodal models with data tailored to your domain. Whether you’re in healthcare, finance, education, or creative media, Verita AI delivers expert-curated datasets that capture the nuances of your field. Our teams ensure your model learns what matters most, improving alignment, performance, and trust.
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.
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.
Agile Execution, Research-Aligned
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.
Incentives for Expertise
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 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.
Human Centered Data
Curious why the top experts choose our annotation platform?
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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.
Training the Next Generation of Multimodal Intelligence
From vision-language agents to audio copliots, 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.
Incentives for Expertise
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.
Human Centered Data
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Multimodal 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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