Alaris Security
Future Tilt (Ecommerce Marketing Agency)
USF MAGIC Lab
iD Tech Camps (Stanford)
UC Merced - SATAL
Candle Stories
Acme Builders Incorporated
Demoing Data Poisoning Detection at Continue DX
Recently had the opportunity to demo Antidote Intelligence at Continue DX, showcasing our content-aware data poisoning detection system to industry professionals. The response was incredibly encouraging, with several attendees expressing interest in the practical applications for enterprise ML pipelines.
Current Outreach Efforts
I'm actively reaching out to vector embedding marketing vendors and MIT researchers to explore collaboration opportunities around data quality assessment. The core methodology we've developed—using AI agents for hypothesis generation and systematic validation—has broader applications beyond just poisoning detection.
Key Technical Innovations
- 6-agent pipeline for comprehensive content analysis
- Statistical validation using sample size significance algorithms
- Content-aware filtering that goes beyond metadata
- Real-time detection for high-stakes ML applications
Industry Impact Potential
The conversations at Continue DX reinforced something important: data quality is the silent crisis in ML. While everyone focuses on model architecture and training techniques, corrupted training data can undermine even the most sophisticated systems. This is especially critical in financial services, healthcare, and autonomous systems where the stakes are highest.
Looking forward to sharing more updates as these partnerships develop. If you're working on data quality challenges or RAG system validation, I'd love to connect and discuss potential applications.