Sova collects, structures, and enriches public forum data at scale — delivering clean, annotated datasets your AI pipelines and research teams can actually use.
What we do
High-cadence ingestion from 100,000+ open communities. Scoped by subreddit, keyword, topic cluster, engagement threshold, or geography signal.
Every dataset ships annotated — sentiment scoring, topic classification, entity extraction, and engagement metadata alongside raw text.
Broad English and multilingual coverage across global communities — with deep specialization in emerging markets, African diaspora, and regional forums.
Parquet, NDJSON, REST, or direct data share to Snowflake, BigQuery, or S3. Format is a configuration, not a constraint.
The data layer
Our pipeline processes every document through multi-stage annotation before delivery. Your team receives structured intelligence — not raw dumps requiring months of preprocessing.
Full schema documentation, data dictionaries, and sample records are provided before any purchase is confirmed. If the data doesn't perform on your benchmark, we don't want the contract.
Named entity extraction and dense vector embeddings are in active development — available now to early access partners on Enterprise tier.
Packages
Contact
Tell us your scope and use case. We return a representative sample dataset within 48 hours — benchmark the quality before any decisions are made.