30x faster OSINT:

Challenge

Analysts in a team that had undergone staffing reductions needed statistically meaningful, high-quality local sources for their target regions to detect narrative shifts and emerging risks. 

For a typical 750k–1M population center, that meant ~1,000–2,000 vetted sources.

Pre-solution, teams stitched together social APIs with thin or unreliable metadata, hit licensing limits on premium content, and manually curated sources. This translated into about seven good sources per hour per analyst. 

Tool hopping slowed time-to-action and left gaps, particularly in low-resource languages.

Why Ubiquity?

• Integration-first: Drops in as a widget inside the client’s current dashboard; outputs flow into existing analysis tools.
• Language advantage: Agents can swap in finely-tuned local-language models for enhanced discovery and classification.
• Hyper-local signals: Geotagging/geocoding to map narratives at neighborhood/installation/municipality levels.

Solution

The team embedded Ubiquity in the existing analyst workspace. This enabled two complementary plays:

1. Find what we don’t have
   • Agentic source discovery targeted to the mission area
   • Enabled Low-resource language coverage using domain-relevant models
2. Enrich what we already have
   • Ingested the client’s API feeds; normalized and enriched existing items.
   • Repaired/added metadata to boost downstream analytics precision.

Security-minded deployment (on-prem) ensured data residency and compliance. Logs enabled review and trust.

Results 

Primary outcome: >30× faster time-to-signal for source acquisition and triage.

Before → After:

• Time & resources saved:  From 30+ analyst hours to ~1 hour of automated discovery + human review to achieve 1,000 vetted sources.
• Analyst impact: 4–5 hours/day shifted from scavenging to actual analysis, red-teaming, and reporting.
• Data quality: Coverage expanded to low-resource languages; hyper-local geotagging lifted precision and reduced noise.
• Operational efficiency: Fewer tools to wrangle; faster time-to-action for decision makers.