What is floatz AI?
floatz uses a knowledge graph that links science, clinical trials, intellectual property, and personnel into a single evidence network, enabling claims to be evaluated in full context.
Machine‑learning models traverse this graph to surface weak, negative, and non‑obvious risk signals that are often missed in isolated assessments.
AI agents synthesize inferred signals into clear conclusions, while human reviewers confirm accuracy and accountability.
The system supports life‑science investors by delivering decision‑grade scientific due diligence that incorporates complete evidence, risk inference, and expert review.
floatz AI user reviews
Based on 3 reviews, 33.3% of users recommend floatz AI, rated highly for quality results.
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floatz AI's key features
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Interconnected evidence knowledge graph
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Machine learning risk signal inference
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AI agents with human review
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Contextual claim evaluation
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Non-obvious risk detection
floatz AI use cases
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Generate a comprehensive risk profile for a biotech startup by linking its clinical trial data, IP portfolio, and key personnel into Floatz’s knowledge graph, enabling investors to surface hidden risk signals and validate claims before committing capital
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Streamline cross‑company due diligence by having Floatz’s AI agents synthesize evidence from global literature, regulatory filings, and peer networks, while a human reviewer confirms the insights for decision‑grade accuracy in M&A teams
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Accelerate portfolio management by using Floatz to monitor post‑investment clinical outcomes and patent expirations, automatically alerting stakeholders to emerging risks and providing actionable dashboards for life‑sciences funds
Who is it for?
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Content creators
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Product designers
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Strategic leaders
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E-commerce sellers
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Scientific researchers