100k+
Community scopes
18mo
Production track record
2.1M
Records delivered
Public discourse intelligence
THE
SIGNAL
IN THE NOISE

Sova collects, structures, and enriches public discourse data at scale — delivering clean, annotated datasets your AI pipelines and research teams can actually use.

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Consumer sentiment Brand intelligence AI training data Market research Forum intelligence Emerging markets Real-time enrichment Structured data Consumer sentiment Brand intelligence AI training data Market research Forum intelligence Emerging markets Real-time enrichment Structured data

What we do

UNSTRUCTURED
DISCOURSE.
STRUCTURED
INTELLIGENCE.

01

Continuous ingestion

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.

02

Structured enrichment

Every document passes through multi-stage annotation — sentiment scoring, topic classification, entity extraction, and engagement metadata — before it reaches your pipeline.

03

Unmatched coverage depth

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.

04

Flexible delivery

Parquet, NDJSON, REST, or direct data share to Snowflake, BigQuery, or S3. Format is a configuration, not a constraint.

The data layer

EVERY FIELD.
DOCUMENTED.

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.

FieldStatus
source
Origin network — reddit, regional_forum, intelligence_feed
Live
raw_structured
Content, author signals, engagement, timestamps
Live
sentiment_score
Polarity, confidence, intensity weighting per doc
Live
topic_labels
Multi-label taxonomy — standard or custom schema
Live
named_entities
Brands, products, people, locations — structured
Q3 2026
embeddings_dense
Per-doc vectors for RAG, clustering, similarity
Q3 2026

Live data preview

WHAT THE
DATA
ACTUALLY LOOKS LIKE.

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.

reddit_africa_finance_posts.ndjsonsource: reddit · 3 of 2,841 records
"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

START SMALL.
SCALE FAST.

Brandwatch starts at $1,000/mo
Meltwater runs $6k–$15k/yr
Sova delivers more. For less.
One-time
SNAPSHOT
A single structured export built to your scope. Ideal for training runs, research, or market studies.
$299
per export · up to 100k records
  • Reddit + regional forum network
  • Custom scope & date range
  • Sentiment + topic enrichment
  • Parquet, JSON-L, or CSV
  • Schema docs included
  • 5 day turnaround
Continuous
MONITOR
Scoped feed refreshed daily. Entry point for brand monitoring, consumer intelligence, and ongoing research.
$499
per month · no lock-in
  • Reddit + regional forum network
  • Up to 250k records/month
  • Daily delivery
  • Sentiment + topic enrichment
  • Scope adjustments included
  • Email support
Recommended
INTEL
High-volume continuous feed with full enrichment suite and dedicated support. For live AI pipelines and serious intelligence programs.
$1,800
per month · billed monthly
  • Full source network incl. intelligence feeds
  • Unlimited volume in scope
  • Hourly or real-time delivery
  • Full enrichment suite
  • Multiple concurrent scopes
  • Dedicated account contact
  • Priority SLA
Enterprise
PARTNER
White-label data supply for platforms reselling intelligence. Custom schemas, infrastructure, and SLAs built around your stack.
$5k+
per month · custom contract
  • Unlimited scope & volume
  • White-label output
  • Custom enrichment models
  • Snowflake / BigQuery share
  • Dedicated infrastructure
  • Uptime SLA + QBRs

Contact

EVERY DEAL
STARTS WITH A
SAMPLE.

We send a sample before you commit to anything.

Tell us your scope and use case. We return a representative sample dataset within 48 hours — benchmark the quality before any decisions are made.

Email hello@sova-data.xyz
Response time Within 48 hours
Samples Always before purchase
Starts at $299 one-time · $499/mo