From 100 articles per day to 150,000. From blind spots to real-time, self-serve analytics.

The team behind the Media Bias Chart, scoring 14,000+ news sources for reliability and political bias.

• Ad Fontes Media is the creator of the Media Bias Chart, rating 14,000+ news sources for reliability and political bias.
• Data-as-a-service business with ~40 human analysts and ML/LLM pipelines processing 150,000 articles daily.
• Customers include enterprise clients and academic researchers studying the media’s impact on social outcomes.

Every question routed through engineering. Legacy BI was too slow, too expensive, and too complex.

• Every data request required an engineer to write a custom SQL query or build a one-off UI, pulling resources from product work.
• Leadership often chose not to ask for data to avoid burdening the engineering team, creating organizational blind spots.
• Legacy BI tools (Tableau, Power BI) were evaluated and rejected: too expensive, too complex, and too slow for a lean startup handling large data volumes.
• Could not measure inter-rater reliability, model drift, or run ad hoc accuracy tests at speed.

Speed, flexibility, and a pricing model that respects startup economics.

• Speed: New dashboards and reports spin up in minutes, not days.
• Flexibility: Fully customizable queries, tables, and dashboards, built exactly the way the team needs them.
• Cost: No per-query or per-row penalties. A pricing model that respects startup economics.
• Zoë (AI Data Analyst): Non-technical team members can explore data independently, eliminating the engineering bottleneck.
• Intuitive onboarding: The team was productive quickly with minimal ramp-up time.

A 1,500x scale increase, self-serve analytics for every team member, and AI model validation at enterprise grade.

• 1,500x scale increase in daily article processing (100 to 150,000) enabled by Zenlytic’s data infrastructure.
• Self-serve analytics for every team member: CEO, product, QA, and data teams all access data independently.
• AI model validation at enterprise grade: Model Drift dashboards compare human, ML, and LLM scores in real time.
• Enterprise credibility unlocked: Live dashboards used to pass third-party vendor assessments and close contracts.
• Engineering hours reclaimed: Data team refocused on pipeline and product work instead of ad hoc reporting.