Erud AI offers seamless, end-to-end data operations. After aligning on your data goals, we take full ownership of the process, creating and delivering high-quality, ready-to-use data without straining your team's bandwidth.
Quality is at the heart of everything we do. We believe that creating great AI starts with great data, supported by diverse perspectives and expert processes.
Quality
Every dataset we deliver is a testament to our unwavering commitment to precision. We carefully curate, review, and refine our work to ensure it meets your specific needs, enabling AI systems that perform reliably and effectively. At Erud AI, quality isn’t just a standard—it’s foundational to our approach. We don't ship bad data.
Ethical AI starts with thoughtful, inclusive data practices. We prioritize diversity in our teams and processes, ensuring datasets reflect a broad range of perspectives. By actively working to mitigate bias, we help our clients build systems that are fair, transparent, and impactful. We take seriously the social responsibility of working in AI.
Trust is earned, and we strive to earn it every day. From clear communication to delivering what we promise, we put integrity at the center of our client and employee relationships. Whether it’s a complex project or day-to-day collaboration, you can count on us to prioritize your success as a client or employee.
Responsibility
Trust
Diverse datasets are the foundation of ethical and effective AI systems. Without data that represents the full spectrum of human experiences, AI models risk reinforcing biases and creating solutions that fail to work for everyone. We prioritize diversity in every stage of our process, from sourcing AI Trainers with varied cultural, linguistic, and socioeconomic backgrounds to designing workflows that include diverse perspectives.
Erud's difference is our ability to curate workforces from scratch. We aren't a crowdsourcing platform - we source for the needs of your data project to create outcomes that are more ethical.
High-quality data doesn’t come from machines; it comes from people. At Erud AI, we invest in building skilled, motivated teams who bring expertise, care, and a human touch to every project. From rigorous onboarding to continuous learning opportunities, we empower our AI Trainers to excel, creating data that’s precise, thoughtful, and aligned with your unique needs.
This people-first approach isn’t just a value—it’s a proven strategy for success. Studies have shown that engaged and well-trained workers produce higher-quality outputs, and this is especially true in data annotation and generation. By fostering a culture of respect, learning, and collaboration, we ensure that the human element remains at the heart of AI development, resulting in datasets that elevate the performance of your models.
Data scarcity is one of the most critical challenges facing the AI industry today. According to a 2022 Gartner report, nearly 40% of organizations cite insufficient quality data as a significant barrier to AI adoption. This challenge is growing even more acute as the market shifts toward the need for highly specialized datasets and expert AI Trainers to fine-tune models for niche applications. Crowdsourcing alone is no longer sufficient to meet the demand for precision, expertise, and scalability.
At Erud AI, we envision a future where engineers, researchers, and data scientists are freed from the operational burden of sourcing, cleaning, and curating datasets. By partnering with Erud AI, organizations can delegate the complex and resource-intensive tasks of data operations to a trusted team. This allows your in-house experts to focus their bandwidth on driving innovation and delivering breakthroughs, while we handle the foundational work of ensuring your data is accurate, diverse, and tailored to your needs. Together, we remove the bottlenecks that slow AI development and enable a future where AI can reach its full potential.
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CAPABILITIES
OUR VALUES
Data Creation
Our data creation services are designed to meet the unique data needs. From curating simulated datasets from scratch to collecting existing real-world data. We create data in any modality, and can meet the most niche specifications.
Data Annotation
High-quality annotations are at the core of effective AI training. We provide labeling and tagging across various data types. Our team specializes in tailoring annotation workflows to your project needs, whether for text, image, video, or audio data.
Data Evaluation
Our data evaluation services deliver in-depth analysis of your datasets or model performance. We assess quality, accuracy, and relevance based on benchmarking techniques to uncover potential areas for improvement.
Full Service Data Operations
Whether you need data created from scratch, or you need evals and adjustments to your current data, we can tailor a solution and workforce that meets your needs.
Full service in any modality
We collaborate with your team to define precise specifications, ensuring your goals are fully understood. From there, we take complete ownership of the data creation process, delivering a polished, ready-to-use final product in any modality and niche.
PROJECTS
Expert and niche domains
Our team includes specialists with deep expertise in technical and niche domains, ensuring unparalleled accuracy and relevance in every project.
DOMAINS
Global geographical and language
We support projects across diverse geographies and languages. We maintain our flexibility in domain and modality across these languages, ensuring cultural and contextual alignment for globally resonant AI solutions.
LANGUAGES AND GEOS
Ethical and responsible data
We prioritize ethical practices, delivering responsibly sourced and created data. We never scrape for data, always give creators explicit informed consent, and work to curate diverse population representative perspectives.
ETHICAL AI
Every project begins with a clear understanding of your goals. Erud AI collaborates closely with you to define objectives, design workflows, and align resources, ensuring an efficient and cost-effective path to success.
All-Inclusive Pricing: Know the total cost upfront with project-based pricing—no hourly fees or unexpected expenses.
Built-In Quality Control: We handle quality checks in-house, so your team doesn’t waste time reviewing flawed data.
Efficient Resource Allocation: We plan and manage the resources needed to complete your project, so you don’t have to.
Customized Workflow Design: Our tailored workflows ensure efficient delivery while meeting your exact project specifications.
No Extra Bandwidth Required: We take care of all planning and execution, letting your team stay focused on what matters most.
We offer project-based pricing, so you know the total cost upfront—no surprises, no paying for hours worked. Our in-house quality control ensures you receive only high-quality, usable data, eliminating the need for your team to sift through inaccuracies. If any data falls short of project specifications, we rework it promptly to meet your expectations, delivering reliable results every time.
Specification Alignment: Collaborate to define project goals, establish "what good looks like," and develop ground truth datasets.
Training & Sample Creation: Create training materials and spec documentation for AI Trainers to produce sample data.
Feedback & Refinement: Gather your feedback on samples, refining training materials and specs to meet your expectations.
Approval & Ramp: Once samples meet your standards, we scale the project, taking a hands-off approach from your team.
Batch Deliveries: Deliver data in batches, ensuring all data meets agreed-upon expectations through in-house quality control.
Every project begins with specification alignment, where we collaborate to define the project’s goals, establish "what good looks like," and develop ground truth datasets. We then create training materials and a spec documentation that we provide to AI Trainers to create sample data. We gather your feedback on the samples produced to ensure we're on the right track. This leads to full specification alignment, where we refine training materials and specs to produce the data you're looking for. Once our samples meet your expectations, your go-ahead signals we’re ready to scale. During the ramp phase, we take a hands-off approach from you, executing the project to spec and delivering data in batches. We stand by our commitment to deliver only high-quality, usable data, reworking anything that doesn’t meet agreed upon expectations. We handle quality control in-house, weeding out bad data before it gets to you.
Seamless Integration: We work directly within your platform or leverage enterprise-grade tools like Databricks, ensuring secure and compliant data handling tailored to your needs.
Robust Data Security: Encrypted transfers, role-based access controls, and stringent audits guarantee the confidentiality and integrity of your data at every step.
Data security is a top priority, and our workflows are tailored to meet your specific needs. We can seamlessly operate within your internal platform, reducing data movement and ensuring full compliance with your security protocols. If preferred, we leverage enterprise-grade platforms through our trusted partners, including Databricks, for secure and scalable solutions.
Deliverable Driven Cost Approach
Pay for project outcomes, not hours worked, mutually aligning our incentives for great quality.
Streamlined Quality Assurance
Multi-step processes to ensure every data point meets expectations.
Real-Time Oversight
Continuous monitoring and immediate feedback for quality optimization.
In-House Quality Controls
Your team stays focused—we deliver high-quality data that doesn’t need extra checking.
You receive data that meets your project specifications—no need to sift through inconsistent quality. Our multi-step quality assurance process, real-time monitoring, and outcome-based pricing ensure you pay for results, not wasted time.
Consistent Excellence
Our streamlined workflows ensure consistent, high-quality data deliveries.
Customer-Centric Metrics
Clear KPIs for data quality and satisfaction.