Build superior agentic systems
High-precision action capture
We specialize in annotating detailed trajectories, integrating both visual inputs (e.g., images, video, and screen data) and agent-driven actions (e.g., clicks, keypresses, or decision points). This multimodal annotation provides a comprehensive view of how your agent interacts with the environment, allowing for precise modeling of decision-making processes across different modalities.
Chain-of-thought reasoning
We augment recorded trajectories with detailed chain-of-thought reasoning traces, aligning actions with the underlying rationale. This annotation process helps agents learn not only the "what" but also the "why" behind decisions, improving your models logical inference capabilities.
Customizable annotation
We tailor our annotation process to fit the specific needs of your agent and task architecture. Whether annotating browser-based interactions, multi-step tasks, or context-sensitive decision-making, our approach ensures that the annotated data aligns perfectly with your project needs.
Multi-agent environment support
Our systems are designed to scale effectively, supporting both large datasets and high-complexity trajectories. We maintain precise and consistent annotation quality across different task sizes, from single-agent systems to multi-agent environments.
Impressions from our community
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"We had a novel task that we needed to complete on a short time scale. The Pareto team worked very closely with us to onboard, disambiguate, and scale up for fast task completion. We're continuing to work with the same pool of high quality raters for our newer tasks."
Prajit Ramachandran
Founding Researcher @ Character.AI
Join hundreds of fast-growing teams who count on Pareto to build superior AI agents.
Build better AI Agents for complex, real-world tasks
End-to-end AI travel agents
Problem
When building agentic AI systems for travel booking, the challenge lies in enabling the agent to autonomously manage intricate, multi-step tasks such as searching for flights, booking hotels, selecting attractions, making optimized decisions based on budget or user preferences, entering user details, and completing payments—all while interacting with complex and dynamic web interfaces across various platforms.
Solution
We train AI agents through browser trajectory annotation, where human annotators execute end-to-end travel management tasks. Each action (click, type, scroll) is annotated with reasoning traces to guide the agent’s decision-making process. This approach helps the agent understand the optimal sequence of actions, adapt to various websites, and make informed decisions throughout the booking journey.
Benefits
Complete autonomy: Agents can manage complex travel bookings, from flights and hotels to attractions, without manual input.
Optimized decision making: Reasoning traces provide the agent with the necessary context to make informed, contextually relevant choices, such as finding the cheapest or fastest travel options.
Cross-site adaptability: The agent can seamlessly handle diverse travel websites and optimize the booking process across different platforms.
Smarter e-commerce agents
Problem
E-commerce AI agents often struggle to navigate complex product pages, apply filters, and complete transactions due to dynamic and varied website layouts. These challenges lead to inefficiencies in product discovery and errors during the checkout process.
Solution
Our trajectory annotation service records and labels each action taken by the agent during tasks like product search, filter application, and checkout, while adding chain-of-thought reasoning to clarify decision-making. This allows AI agents to better understand and replicate human decision-making across various e-commerce site structures.
Benefits
Improved task accuracy: Annotating complex multi-step interactions helps agents make more precise decisions, ensuring smooth navigation and accurate transactions.
Increased user satisfaction: AI agents can guide users through product searches and checkouts more intuitively, improving the customer experience and boosting conversion rates.
How it works
Describe your project
We help you develop clear project guidelines, determine the ideal evaluation team, and set a cost-effective hourly rate to fit your timeline
Match with top evaluators
We assemble your team same-day from our vetted network. If you have unique needs, we can find the right experts in just 3–5 days
Project managed & quality assured
We support data evaluators to deliver the highest quality data with paid trials, expert review and feedback, gold standard items, and more QA techniques
Built by and for a new generation of data workers
The infrastructure behind human data collection is antiquated. We’ve joined forces with seasoned data labelers, annotators, prompt engineers, and crowdwork researchers to redefine the relationship between workers and requesters.
Pareto operates on the principles of equitable compensation, collaborative management, and expert evaluation and feedback. Our mission is to empower talented and diverse professionals worldwide to contribute to AI training.
Enterprise-grade scale and quality
Fully managed service
Our project managers are just a Slack message or email away.
24/7 Global support
Our distributed team of experts offer assistance around the clock.
Pay-as-you-go
Up-front and transparent pricing tailored to your project requirements.
Common Questions
How long does it take to get set up with Pareto?
+Our team can have you up and running with Pareto in as little as 24 hours. Interested in getting started? Speak with our team!
Can I use Pareto for a one-time project, or do I need to commit to a long-term contract?
+You do not need to commit to a long-term contract. Pareto offers cost-effective and on-demand pricing. Fair hourly rates are set based on the expertise and skills of the workforce you need.
What measures does Pareto take to ensure work quality?
+We create precise guidelines and cost estimates upfront. Your project manager reviews project timelines, costs, and success criteria with you before each batch of tasks to ensure results that meet or surpass your expectations.
Does Pareto offer post-project support?
+Absolutely. Your project manager remains accessible to assist with any inquiries or issues that may arise following the project's completion. Should any outcomes fall short of your project's requirements, inform us within a five-day period after submission, and we'll either revise the work or provide a credit refund.
Can Pareto assist with international projects outside the US?
+Pareto collaborates with companies worldwide, adapting to different time zones and team requirements. We have experience in handling international projects with ease. Our data experts are distributed across the globe, ensuring uninterrupted and reliable service around the clock.
How experienced is the team at Pareto?
+Pareto boasts an elite network of prompt engineers, annotators, and evaluators with expertise in finance, healthcare, engineering, and more. We also recruit, train, and upskill people from all walks of life, striving to create a rewarding career in data work for anyone with the right ambition.
What types of projects can Pareto support?
+Pareto is adept at handling a diverse array of manual, data-centric tasks and operations for AI companies. From fine-tuning LLM's with human feedback to data curation and labeling, we do it all. Just share your objectives with us, and we'll customize our AI-driven workflows to suit your specific requirements.
Build superior AI agents
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