Reliable Data Operations for AI and Business
We help AI companies and global businesses prepare, evaluate and improve high-quality datasets through structured annotation, human evaluation and data quality assurance.
What we operate
Four working modules, run together or independently depending on where your pipeline needs support.
AI Training Data
Structured annotation and dataset preparation for text, image, audio, video and multimodal AI projects.
AI Evaluation
Human evaluation, benchmark task design and rubric-based assessment for AI models and agents.
Data Quality Assurance
Dataset review, error detection, consistency checks and measurable quality control.
Data Analytics
Data processing, classification and business insights tailored to client requirements.
A pipeline you can audit at every step
Each engagement moves through the same five stages, with sign-off and reporting between steps.
Built for engagements that require care
Every project runs under a signed NDA and a defined data handling protocol. Access to client data is scoped to the annotators and reviewers assigned to that project, and each dataset passes through a documented QA step before delivery. We work within the data boundaries our clients set, and do not use client data beyond the agreed scope of an engagement.
Standard confidentiality terms on every engagement, before any data changes hands.
Project-scoped access for annotators and reviewers, revoked at project close.
Sampling and error checks recorded and shared alongside each delivery.
Data used only for the purpose defined in the engagement agreement.