SPICE brings structured data, agentic investigation, compliance evidence and AI automation into one governed platform, automating the work of separating the real alerts from the false positives, with a human always in command.
Four capabilities work together to reduce the false positives, from structuring the raw data to recommending the action, all governed the same way.
Turn any documents, feeds and filings into clean, structured data, the foundation every agent reasons over, with human review on the fields that matter. Clean, reliable inputs mean far fewer false positives downstream.
Agents reason over a governed knowledge base, retrieving and citing your own rules and precedents, to explain an alert, prioritise it and recommend the next step, so analysts spend time on the real alerts, not the false positives. Interface with a knowledge base, or investigate with the agents directly.
SPICE assembles audit-ready evidence of compliance and raises prioritised alerts, flagging exactly what needs attention and filtering out the false positives so teams focus on the real issues.
SPICE combines structured data, database agents and qualitative information to automate complex operational tasks. Governed agents investigate the information, apply your defined rules and produce outcomes while people stay in control, so you can automate repeatable work such as assessing risk, generating asset health indexes or processing low-risk exceptions.
Ingest documents, feeds and data into clean, structured form.
Retrieve and cite against your own rules and precedents.
Agents explain, prioritise and draft the recommended action.
Consequential actions pause at a human approval gate.
Every step logged as a complete, audit-grade trail.
