Customized data sets to refine your AI models

Why Fuel.AI?

Our unique business model ethically meets your unique needs

• Synthetic or syndicated data cannot provide the high degree of contextualization needed for fine-tuning AI models.
• Get exactly the images, audio, or video you need from around the world with a single project plan.
• Data collectors are screened to avoid third-party risks and violations of ethical policies.
• Data collectors are paid fairly and in a timely manner according to international standards and have control over the projects they choose to work on and their work schedules.
• Fuel.AI data sets are your proprietary data, so there is no concern about IP rights violations, data privacy, or other liability related to using existing data. 
• Fuel.AI data collectors are trained on the correct way to collect the data, and the data itself is checked for quality assurance .

What our customers say

You guys are killing it! We’ve been able to move all of our in-house collection to Fuel.AI, and we have seen about a 75% reduction in cost!

AI Builder FAQs

Q: How do I know the data is being collected by real people?
A: Fuel AI’s data is collected exclusively by real, verified individuals using their own smartphones and devices in real-world environments. To support this, Fuel AI partners with New Money Company, a trusted workforce payments and compliance platform that helps ensure contributors on our marketplace are legitimate, properly onboarded, and paid securely. Through this partnership:

• Contributors are verified and onboarded through compliant processes
• Payments are handled transparently and securely
• Fraud, duplicate identities, and suspicious activity are actively monitored
• Contributors operate within clear participation and compensation guidelines

In addition to our partnership with New Money Company, Fuel AI applies internal safeguards such as contributor vetting, project-specific gating, behavioral monitoring, and automated quality checks to detect non-human or abusive activity. We do not use scraped data, synthetic contributors, bots, or simulated environments. All data is first-party, collected by real people who knowingly opt in to each project. This approach ensures authenticity, protects contributors, and gives AI Builders confidence that their training data reflects genuine human behavior and real-world conditions.

Q: How do I know the people collecting the data are treated fairly and paid fairly?

A: Fuel AI was built on the principle that ethical data collection is not optional. Contributors on our platform (we call them Bounty Hunters) are informed exactly what data they are collecting, how it will be used, and how they will be compensated before they ever accept a task. Compensation is transparent, task-based, and paid promptly. We do not engage in deceptive labor practices, hidden usage, or unpaid data extraction. Contributors opt in knowingly and can choose which projects they participate in. This approach protects contributors and our customers. It significantly reduces reputational, legal, and brand risk for AI Builders who care about how their data supply chain operates.

Q: How do I know the data is high quality?

A: Quality is designed into the process, not inspected at the end. Fuel AI combines:

• Clear, mission-specific capture instructions
•  Contributor training and gating
•  Automated validation checks
•  Human review and spot auditing
•  Iterative feedback loops during live projects

Data is reviewed against your defined requirements and acceptance criteria. We continuously monitor quality metrics throughout the project, not just at delivery, allowing us to correct issues early rather than retroactively. If your use case requires it, we can also support gold-standard validation sets or pilot phases before scaling.

Q: What happens if the data isn’t what I want?

A: If submitted data does not meet agreed-upon requirements, it is flagged and rejected during review. Depending on the project structure, Fuel AI will either:

• Re-collect the data, or
• Adjust the capture process to better align with your needs before continuing

We treat data collection as an iterative partnership, not a one-time handoff. The goal is usable data that actually improves your models, not just “files delivered.”

Q: What happens if my needs change during the project?

A: This is common, especially in real-world ML development. Fuel AI is built to support mid-project adjustments. If your requirements evolve, we pause, review the changes with you, and update:
• Capture instructions
• Contributor targeting
• Validation criteria
• Volume or scope

We’ll be transparent about any impact on timelines or cost before proceeding. Our team works with you to change course quickly without derailing the entire project.

Q: How will the data be shared with me?

A: Fuel AI supports multiple secure delivery options depending on your infrastructure and preferences, including:

• Cloud storage delivery (AWS, GCP, Azure)
• Secure file transfer
• API-based access for ongoing or streaming datasets

Data is delivered in structured, documented formats aligned to your ingestion and labeling pipelines. We work with your engineering team to ensure integration is straightforward and secure.

Q: Is the data first-party and compliant?

A: Fuel AI provides first-party data collected directly from individuals who have consented to participate. We do not scrape, resell third-party datasets, or use gray-market sources. Our processes are designed to support compliance with applicable data protection and privacy standards. We are happy to review project-specific requirements with your legal or compliance team.

Q: Can you target specific geographies, demographics, or environments?

A: Yes. Fuel AI can target contributors by geography and other project-relevant criteria, depending on the use case and regulatory considerations. This allows AI Builders to collect data that reflects the environments their models will actually operate in, rather than relying on generic or over-represented datasets.

Q: How quickly can a project get started?

A: Most projects can move from scoping to live collection quickly once requirements are finalized. Because Fuel AI operates an active contributor marketplace, we can often begin pilots or initial collection faster than traditional data vendors that rely on manual sourcing or one-off contracts. Timelines depend on scope, complexity, and volume, which we’ll outline clearly during planning.

Q: Who owns the data?

A: Data ownership and usage rights are defined clearly in the project agreement. Fuel AI structures every engagement to align with applicable data protection laws and clearly documented usage permissions. Specific rights, licenses, and reuse terms are established upfront so all parties understand how the data may be used over time.

Q: Can you support ongoing or recurring data collection?

A: Yes. Fuel AI supports both one-time data collection projects and ongoing, recurring programs. Many customers use Fuel AI for continuous data collection to support model training, retraining, drift monitoring, and feature development. In addition, Fuel AI works with market research and analytics firms that require fresh, up-to-date data on a regular cadence. For these customers, we collect data weekly, year-round, to reflect changing market conditions, retail environments, pricing, assortment, and in-store dynamics. Programs can be structured to run on a consistent schedule, such as weekly or monthly, with clearly defined scopes, locations, and quality controls. Our platform and contributor network are designed to support long-running data programs, not just short-term campaigns, so customers can rely on a steady, repeatable data supply over time.