Sova collects, structures, and enriches public discourse data at scale — delivering clean, annotated datasets your AI pipelines and research teams can actually use.
What we do
High-cadence collection across Reddit and a proprietary network of regional forums, specialized interest communities, and curated intelligence feeds. Scoped by community, keyword, topic cluster, engagement threshold, or geography signal.
Every document passes through multi-stage annotation — sentiment scoring, topic classification, entity extraction, and engagement metadata — before it reaches your pipeline.
Broad global coverage with deep specialization in emerging markets and underrepresented regions. Discourse that doesn't exist in any commercial dataset — sourced, structured, and ready.
Parquet, NDJSON, REST, or direct data share to Snowflake, BigQuery, or S3. Format is a configuration, not a constraint.
The data layer
Every document in the pipeline passes 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.
Live data preview
Four source networks. One schema. Below is a representative slice of real enriched output — the same structure you'd receive on day one, with fictional authors and anonymised IDs.
"id": "af9q1r4", "source": "reddit", "subreddit": "r/Nigeria", "flair": "Economy" "title": "CBN raised rates again — what does this actually mean for small businesses?" "score": 4821, "upvote_ratio": 0.94, "num_comments": 318 "created_utc": 1776420880, "collected_at": "2026-04-18T07:06:31Z" "sentiment_score": -0.42, "topic_labels": ["monetary_policy","small_business","nigeria"] ──────────────────────────────────────────────────────── "id": "af9s7p2", "source": "reddit", "subreddit": "r/Kenya", "flair": "Politics" "title": "Gen Z protests changed the budget conversation — is it sticking?" "score": 7203, "upvote_ratio": 0.97, "num_comments": 541 "created_utc": 1776466272, "collected_at": "2026-04-18T07:06:31Z" "sentiment_score": 0.61, "topic_labels": ["civic_action","government","kenya"] ──────────────────────────────────────────────────────── "id": "af8m3n9", "source": "reddit", "subreddit": "r/Ethiopia", "flair": "Development" "title": "Addis tech scene is real now — here's what's actually being built" "score": 3190, "upvote_ratio": 0.93, "num_comments": 204 "created_utc": 1776369987, "collected_at": "2026-04-18T07:06:31Z" "sentiment_score": 0.78, "topic_labels": ["tech","startups","ethiopia"]
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.