CAIRO, Inc.
CAIRO provides continuous, statistical monitoring of how pharmaceutical brands appear across major AI platforms like ChatGPT. The platform measures share of voice, messaging accuracy, competitive framing, and hallucination detection to give pharma companies actionable intelligence and a governance layer for this emerging, unregulated channel.
- Data & Analytics
- Artificial Intelligence
- Regulatory & Compliance Technology
- Software Only
- Healthcare Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Pharmaceutical companies monitor traditional digital channels, but AI platforms like ChatGPT increasingly influence patient and provider decisions about drug choices. These AI outputs are non-deterministic and unmonitored, creating a blind spot where brands cannot see how they are represented, recommended, or misrepresented in AI-generated responses.
Solution
CAIRO provides continuous, statistical monitoring of how pharmaceutical brands appear across major AI platforms. The platform measures share of voice to show how often a drug is recommended versus competitors, tracks whether key brand messages are accurately reflected in AI outputs, analyzes competitive framing to reveal how a drug is positioned against alternatives, and detects fabricated claims about products. By measuring AI outputs statistically rather than anecdotally, CAIRO gives pharma companies actionable intelligence on their AI brand presence and enables governance of this emerging channel. The platform also surfaces compliance signals such as off-label recommendations and gaps in safety information, providing a governance layer for regulated pharmaceutical brands.
Target Audience
Primary customers are pharmaceutical brand teams, market intelligence groups, and digital governance leaders who need visibility into how AI platforms represent their products to patients and healthcare providers.
Features
- Continuous monitoring across every major AI platform including ChatGPT and other large language model systems
- Share of Voice measurement showing brand recommendation frequency versus competitors
- Messaging Accuracy tracking to verify whether key brand messages are reflected in AI responses
- Competitive Framing analysis revealing how drugs are positioned against therapeutic alternatives
- Hallucination Detection identifying fabricated or inaccurate claims about pharmaceutical products
- Compliance Signals covering off-label recommendations, missing safety info, and pharmacovigilance gaps
- Source & Citation Analysis for tracing AI outputs back to underlying references