Cerno Labs provides enterprise‑grade, explainable AI copilots and chatbots that prevent hallucinations and link each response to its source data for auditability. The platform automates prompt optimization, continuously monitors model performance, and offers customizable deployments to meet compliance and risk‑management needs in regulated industries.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that rely on generative AI often face hidden risks such as hallucinated outputs, lack of traceability, and regulatory non‑compliance, which can lead to operational errors, customer churn, and legal exposure.
Solution
Cerno Labs delivers enterprise‑grade AI copilots and chatbots built on advanced language models that incorporate hallucination‑prevention and source‑tracing mechanisms. Each response is linked to its originating data, enabling users to audit and verify outputs. The platform provides automated prompt optimization to reduce manual engineering effort and continuously monitors model performance with cross‑validation techniques, ensuring reliable operation over time. By emphasizing explainability, the system allows stakeholders to interrogate decisions, while customizable deployments let organizations align AI behavior with specific compliance and risk‑management policies.
Target Audience
Primary customers are large enterprises in regulated or high‑risk sectors—such as finance, healthcare, and insurance—that need trustworthy AI assistants for customer support, document processing, and decision‑making workflows.
Features
- Enterprise chatbot with human‑like answers, real‑time hallucination detection, and automatic citation of original data sources
- Data analysis copilot that generates structured summaries, key points, highlights, and red‑flag alerts across any document workflow
- Automated prompt engineering that continuously refines prompts to maintain accuracy and reduce engineering overhead
- Explainability layer offering audit trails and interactive interrogation of model decisions for regulatory compliance
- Reliability framework using cross‑validation and continuous monitoring to detect drift and adapt models proactively
- Scalable, customizable deployment options that integrate with existing enterprise systems and data repositories