AI TRAINING DATA & DATA SERVICES

DATA SUPPLY · CUSTOM COLLECTION · SPECIALIST ANNOTATION

You build the AI.
We prepare the data.

We supply books, professional publications and data on social platforms, companies, talent, finance and research. We also collect, clean and annotate text, speech and video, and prepare data for model evaluation.

SCROLL TO EXPLORE

01 / WHAT WE DO

End-to-end data collection,
cleaning and labeling.

Choose the work you need: data or book supply, custom collection, cleaning, or annotation. We can also work with files you already have.

Discuss your requirements before agreeing on a suitable sample.Discuss project samples ↗
JSON / JSONL / CSVData supply, collection, cleaning and annotation.

PROJECT DIRECTIONS

Start with your business goal.

From books and data supply to legal, speech, video and professional evaluation, explore a direction that fits your project.

Legal rules and formalization

Legal conditions, obligations and exceptions linked to Prolog rules, source clauses and Chinese explanations.

Explore scope and delivery

Speech data and multilingual annotation

Verbatim transcripts, speaker IDs, timestamps and audio-event labels; project experience includes Indonesian and Malay.

Explore scope and delivery

Professional evaluation and benchmark data

Domain-specific questions, reference answers, evidence and scoring rubrics for model evaluation.

Explore scope and delivery

Books and professional publications

Full-text books and bibliographic records by title, subject or ISBN, with optional OCR and edition checks.

Explore scope and delivery
Browse all datasets ↗

02 / OUR DATASETS

Data for research and AI.
Find what you need.

Books, talent, company, financial and scientific data, plus legal, speech and video annotation. Choose a direction, then agree samples and delivery.

03 / WORKING TOGETHER

Define your requirements.
Confirm the scope.

Tell us what you need. We’ll check the sources and fields, provide a sample where permitted, and confirm the quote, format and delivery schedule.

How projects work ↗

Project scope and assessment

Start with what you need: books or source data, structured preparation, or specialist annotation and evaluation tasks. Use a sample to establish content, format and acceptance.

Should I start with existing data or custom collection?

Start with the catalog if your required fields, dates, and use are already clear. Choose custom collection when you need specific accounts, topics, regions, or date ranges. Teams with source files can discuss deduplication, field standardization, or labeling directly, without buying every service together.

What should I check in a sample?

Try the sample in your actual analysis or data workflow. Check sources and dates, required fields, duplicate and missing-value handling, and label definitions. Include expected volume, output format, delivery timing, and intended use in your enquiry so we can assess scope and effort.

04 / LET’S TALK

What data
are you looking for?

Share a platform, an industry focus or an example record. We’ll help you assess feasibility and the data preparation needed.

Discuss requirements ↗Or email contact@resiftai.com
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