Kurnool, Andhra Pradesh · Serving clients across India & worldwide +91 96860 60453 [email protected]
AI & Data Operations

AI Data Annotation, AI Evaluation & Data Operations

Trained reviewers and the tooling around them: annotation, evaluation, moderation and catalogue data work, with quality checks you can audit.

AI systems are only as good as the data and feedback behind them. Our AI data annotation services and evaluation teams label, review and grade data to clear written guidelines, with multi-level quality checks.

We do not train foundation models. We build and run the operational layer around them: review workflows, golden datasets, quality metrics and the custom tooling to manage it, so clients pay no third-party licence mark-up.

What’s included in our ai & data operations service

Data annotation & labelling

Text, image and document labelling, classification and entity tagging.

AI evaluation

Rating model outputs for accuracy, helpfulness and safety against rubrics.

Agentic AI review

Grading full agent trajectories: tool calls, retrievals and side effects.

Trust & safety

Content moderation and policy enforcement with escalation paths.

Catalogue data operations

Product data enrichment, de-duplication and feed quality for e-commerce.

Quality assurance

Gold sets, inter-annotator agreement, audits and weekly reports.

How we work

A simple, transparent process from first call to launch, and beyond.

  1. Discover

    A short call or WhatsApp chat to understand your goals, users and budget.

  2. Plan & quote

    Written scope, timeline and a fixed quote before any work starts.

  3. Design & build

    Regular previews so you can review and give feedback as we go.

  4. Launch & support

    Go-live, SEO setup, training and ongoing maintenance if you need it.

Frequently asked questions

What is agentic AI evaluation?

Agentic AI evaluation grades an AI agent's full trajectory, including its tool calls, retrievals, intermediate steps and side effects, rather than only its final answer, to find failures that automated evaluations miss.

How do you keep client data secure?

Work is done under NDA on access-controlled systems, with least-privilege access, no personal devices and data retained only as long as the contract requires.

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