Brand and consumer research
Organize public discussions, user experiences and stated purchase reasons to support brand, category and customer research.
Explore brand and consumer data THE DATA SPACEAI TRAINING DATA & DATA SERVICES
DATASETS · COLLECTION · EXPERT LABELING
You build the AI.
We prepare the data.
Data across social media, finance, companies and e-commerce, collected and prepared for your project. We also clean and label the data you already have.
01 / WHAT WE DO
End-to-end data collection,
cleaning and labeling.
Start with an existing dataset, request a custom collection, or bring your own files for cleaning and annotation.
01
Existing datasets
Review available sources and sample records, then confirm the fields, date range and volume you need.
02Custom data collection
Define a collection plan for your platforms, topics, accounts or date range, with regular updates where agreed.
03Data cleaning
Remove duplicates, correct inconsistent fields and turn scattered raw records into structured, usable files.
04Data labeling
Apply categories, entities or sentiment labels, with a review of ambiguous records against agreed rules.
JSON / JSONL / CSVYour requirements. Your format. Your data.
PROJECT DIRECTIONS
Start with your business goal.
Use your business questions to define data sources, preparation methods and delivery criteria.
Company and industry research
Organize news, policy documents, industry articles and reports by topic or timeline to support ongoing industry research.
Explore news and industry dataRetrieval and knowledge-base preparation
Extract and standardize text, tables or subtitles from agreed sources into consistent files for retrieval and knowledge-base workflows.
Explore data cleaningAI data cleaning and labeling
Provide reviewable data files, field dictionaries and clear labeling guidelines tailored to the agreed project rules.
Explore data labeling02 / OUR DATASETS
Social, financial, company data.
Find what you need.
Researching a community, a company or an industry? Identify the data type you need, then discuss sources, scope and initial samples.
03 / WORKING TOGETHER
Start with a sample.
Confirm the fit.
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 ↗Assess the fit for your project
Choose a data service by identifying what is missing: source records, a consistent structure, or labels for training and evaluation. The platform and industry catalog helps narrow the sources; a sample tests whether the fields and preparation rules fit your task.
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.
Tell us what you need ↗Or email contact@resiftai.com