Training Data Solutions for Enterprise AI Models
We offer cost-effective, scalable, and enterprise grade data labeling solutions (EDLS). Our services help organizations save time and divert their focus to more strategic initiatives. We can fine-tune our services as per domain specificity as its in compliance with data quality standards. We offer qualitative services through diverse annotation teams, service integration with RLHF, and prioritize data authenticity.Contact Us Now
Domain-specific Solutions via Fine-Tuning
We offer EDLS by aligning our data annotation practices as per industry requirements ranging from healthcare to finance. Our services ensure that machine learning models and analytics are built on domain-relevant data for driving superior results and actionable insights.
We ensure data quality or excellence by incorporating rigorous data collection and annotation methods backed by top-tier anonymization processes. We mitigate biases, ensure data integrity, and reliability by carrying out regular audits and feedback cycles.
Diverse Annotation Teams
We leverage a diverse pool of annotators to cut across various linguistic, academic, and cultural backgrounds. This diversity translates into data that comprehensively captures global nuances making AI systems universally competent and culturally sensitive.
Reinforcement Learning with Human Feedback (RLHF)
We use RLHF to ensure our machine learning models evolve iteratively and improve with human-in-the-loop feedback. RLHF combines the computational strengths of AI with the qualitative judgments of human experts resulting in robust, refined, and resilient AI models.
Respect for Intellectual Property
Our EDLS is engineered to ensure AI models are trained on genuine and ethically-sourced data. We prioritize data authenticity and uphold the highest ethical standards to ensure that AI models are trained on genuine, ethically-sourced data, aligning technological advancements with moral responsibility.
Our Key Capabilities
Our human workforce comprises of specialists in computer vision, natural language processing, content moderation, and data & document processing.
We have an experienced, certified, and platform agnostic workforce to accomplish tasks efficiently.
We have SMEs for developing domain-specific datasets. Also, we can hire experts from other domains to build LLMs.
LLM Annotators & Reviewers
Our LLM data annotators and reviewers have excellent English reading and writing capabilities to answer prompts or questions and also, quality check responses.
Get Us On Board
Let us contribute the best of our data annotation and labeling expertise to your computer vision-based models and AI algorithms.