Behind our technology
The five faces of review fraud
Fraudulent reviews are more than just misleading feedback - they're a costly form of fraud that can severely damage your business
Our technology
Whether you're optimizing marketing, improving sales, refining products, or making strategic decisions, HEDI makes your business more effective and efficient.
Reputational Intelligence
Track and analyze user identities across platforms to build comprehensive profiles of known bad actors. By maintaining an evolving database of fraudulent behavior, we help you proactively prevent repeat offenders from targeting your platform
Network Analysis
Uncover hidden fraud rings through advanced pattern detection. Our clustering technology reveals connections between seemingly unrelated activities, exposing coordinated fraudulent operations and their key players.
Behavioral Detection
Leverage our advanced LLM to analyze user patterns and identify suspicious activities. We spot non-genuine behaviors as fraudsters attempt to maintain artificial reputations, catching subtle signs of manipulation that humans might miss.
Linguistic Analysis
Combat both human and AI-generated fake content through sophisticated language pattern detection. Our system identifies telltale signs of paid reviews and flags AI-generated content, stopping fraudsters from scaling their deceptive operations.
How it works
In few steps
Our platform
Access our latest products via our development platform, hosted in the European Union.
Easy management
The Platform is the preferred way for developers to access all Hedi ML.
- Immediate access to our technology: Access our models at the best value for money.
- Guides and community: Use our guides and interact with our community to build your applications.
- Secure and compliant: Your data is encrypted in storage (AES256) and in transit (TLS 1.2+).
from HediAPI.client import HediClient
api_key = os.environ["HEDI_API_KEY"]
model = "hedi-stella"
client = HediClient(api_key=api_key)