Domain Experts

KNOWLEDGE FOR YOUR AI

Leverage human intelligence from domain specific experts to improve the learning and precision of your model outputs

 

EXPERT IN THE LOOP

Our vision is to combine human intelligence and robotic intelligence to advance AI into production. By leveraging human-in-the-loop domain experts your traditional and generative AI applications will produce superior results. Applying expertise in technology, techniques and industry specific domain knowledge brings advantages in ensuring accuracy, reliability, and efficiency.

HIGHER QUALITY DATA

Expert led data annotation for machine learning and model evaluation for fine tuning produces the highest quality data for your AI.
ABILITY TO HANDLE COMPLEX TASKS

Experts bring human insight for complex tasks like reasoning, edge cases, ambiguity resolution and nuanced content evaluation.
BETTER MODEL PRECISION

Domain experts provide the knowledge needed to navigate the nuance in your data and model fine tuning for accurate outputs.

WHAT DO YOU NEED?

YOU SET THE CRITERIA

iMerit has over 10 years experience in software delivered services for developers of traditional and generative AI applications. With a global expert workforce of 5,000+ full time employees and a broad network of specialists within iMerit Scholars, this gives you access to thousands of domain specialist across skills, subjects, languages and geographies.

 

 

Education & Degrees

Certifications

Work History

Technology Expertise

Domain Knowledge

Life Experience

 

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EXPERTISE

IMPACTS OUTCOMES

Applying knowledge to AI data significantly enhances the quality, relevance, and effectiveness of AI models. The value is broken down into several key areas: improved data quality, enhanced model performance, contextual understanding, reducing bias, more reliable decision-making and customization for specific use cases. The three key area where knowledge and experience has the biggest impact are design, data and tooling.

SOLUTION DESIGN

Do you know what good AI data looks like? We do! Our team designs solutions from requirements definition, workflow design, tooling, QC and monitoring.
KNOWLEDGE DRIVE DATA

Expert led data annotation for machine learning and model evaluation for fine tuning produces the highest quality data for your AI.
TOOLING EXPERIENCE

Experience with the tooling, features, functionality and automation has a direct impact on the the quality, consistency and throughput of your data pipeline.

GENERATIVE AI

KNOWLEDGE DRIVEN OUTPUTS

Leverage domain specific experts to evaluate model outputs and provide data inputs for improved model precision.

WHERE EXPERTS MAKE A DIFFERENCE
  1. Model Evaluation: Model audit, quality control, benchmarking, bias detection and red teaming.
  2. Supervised Learning: Utilize reinforcement learning from human feedback with iMerit domain experts to fine-tune and improve model performance.
  3. Chain of Thought Reasoning: Breaking down complex problems into intermediate reasoning steps to improve interpretability and accuracy.

PREDICTIVE AI

EXPERT DRIVEN ML DATA

Expert-led data annotation ensures that training data is accurately labeled with domain-specific knowledge, improving the precision and reliability of predictive AI models. By reducing biases and misclassifications, expert-driven annotation enhances the model’s ability to generalize effectively across real-world scenarios. This results in AI systems that are more trustworthy, interpretable, and aligned with industry-specific needs.

 

WHERE EXPERTS MAKE A DIFFERENCE
  1. Technology: Expertise in leveraging a platform for data workflow design, data annotation tooling, process reporting and analytics for end-to-end automation.
  2. Talent: Domain specific knowledge of industries, the data required, and mediums being annotated for consistent high-quality ML training data.
  3. Techniques: Driving efficiency and throughput for achieving the goals of our clients in the most cost effective manner without compromising on quality.

SCALING

HUMAN IN THE LOOP

AI-Assisted features of iMerits’ Ango Hub will automate your AI data workflows to improve efficiency and model RLHF, allowing domain experts to focus on applying their knowledge to create high-quality data.

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BENEFITS

OF DOMAIN EXPERTISE

AI designed with expert input complements human decision-making, resulting in a symbiotic relationship where AI augments expert capabilities

IMPROVED MODEL ACCURACY

Domain experts provide nuanced insights that help refine model training data, improving accuracy in specialized fields like medicine, finance, or law.
REDUCTION OF BIAS & ERRORS

Experts ensure that the model aligns with real-world conditions rather than theoretical assumptions.
INTERPRETABILITY & TRUST

In critical industries, understanding AI decisions is crucial. Experts help ensure the model's outputs make sense within the context of the field.
EFFICIENT FEATURE SELECTION

Specialists guide the selection of the most relevant features, reducing noise, providing domain-specific metrics for better evaluation and improving model performance.
BETTER HANDLING OF EDGE CASES

AI often struggles with rare or complex cases that aren't well represented in general datasets. Experts help by introducing specialized data and rules to improve model robustness.
REGULATORY AND COMPLIANCE ALIGNMENT

Domain specialists ensure that AI models comply with legal and ethical standards.
FASTER DEPLOYMENTS

AI solutions tailored to industry needs with expert input are more likely to be adopted by professionals. Reducing inaccuracies minimizes time spent on post-deployment corrections.
OPTIMIZED TRAINING AND VALIDATION DATA

Experts help curate high-quality training datasets that reflect real-world scenarios. They validate AI outputs to ensure meaningful and correct results.
COMPETITIVE ADVANTAGE

Fine-tuned AI models outperform generic solutions, providing businesses with a unique edge in their industry. They can be tailored for proprietary knowledge, making them harder to replicate.
CASE STUDY

TOP TECH COMPANY

VALIDATE NEW KNOWLEDGE BASE

To improve the precision of its RAG chatbot, this US technology company consulted iMerit on how to audit, implement, and test a new medical dataset to ensure safe and accurate medical advice for users.

GOAL

Establish a precedent for implementing new medical data into a live corpus using medical expertise and red teaming.

 

WORKFLOW

Expertise: Two US-based triage nurses, one physician

  1. US-based nurses independently review medical concepts.
  2. Reviews were compared to reach consensus on completeness and accuracy of information.
  3. Physician makes final judgment when nurses can’t reach consensus.

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"We needed a partner who could create a robust and diverse corpus to improve the reasoning capabilities and accuracy of our models."

Director, Data Science & AI

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