Rationale
The radial layout visually communicates "convergence" -- six independent data streams flowing into a single intelligence engine. This is the moat slide: competitors may monitor one or two streams. Syntropy correlates all six.
Talking Points
- "We do not just look at lab results. We combine six data streams to build a complete safety picture."
- "Lab results give you batch-level patterns. Supply chain data flags upstream risk before ingredients arrive. Production records catch process deviations in real time."
- "Consumer feedback detects adverse event signals from reviews and CRM data. Regulatory updates keep you ahead of rule changes. Environmental signals correlate external events -- weather disruptions, industry recalls, outbreak patterns."
Anticipated QA
- Q: How do you ingest consumer feedback without violating privacy? A: We work with anonymized, aggregated complaint data from your CRM and review platforms. No PII is stored.
- Q: What about data we do not have yet? A: The platform works with whatever data sources you connect. You can start with two streams and add more over time -- value compounds with each additional source.
Sources
- FDA CFSAN adverse event reporting system (CAERS)
- CDC FoodNet surveillance network (outbreak data)
- Internal data ingestion architecture documentation