What Interiu does, who it's built for, how engagements work, and how data is handled.
Interiu is an on-demand intelligence system for complex analytical work. It helps teams turn scattered data, documents, communications, transactions, models and legacy knowledge into structured, source-linked outputs that can be reviewed, challenged and delivered.
Interiu is built for advisory and consulting partners, forensic teams, private capital and family offices, CFOs, operators and business owners who need evidence-based analysis faster without expanding permanent headcount.
Interiu can support evidence-led analytical work across documents, emails, transactions, databases, financial models and historical reports. Typical cases include email forensics, financial-flow investigation, procurement review, tender analysis, due diligence and financial model review.
No. Interiu is not a generic chatbot. It is configured around a specific analytical task, data sources, workflow and expected output. The goal is not conversation, but structured, source-linked analysis that a professional team can review and use.
Interiu reduces cost by shifting part of analytical delivery from fixed headcount to on-demand workflows. Teams can process more material, produce first analytical passes faster and reduce manual review time without hiring additional analysts for every new matter.
No. Interiu is designed to increase analytical capacity, not remove professional judgement. It helps with structuring, review, retrieval, pattern detection and source-linked outputs, while senior professionals remain responsible for interpretation, validation and client delivery.
A corporate brain is the reusable intelligence that accumulates as real work is processed: sources, findings, relationships, workflows, taxonomies and prior outputs. Over time, this helps an organisation reuse legacy knowledge instead of starting from zero on every case.
Interiu helps organisations move from isolated AI experiments to repeatable analytical workflows. Each case creates structured knowledge and reusable patterns, making future work faster and helping AI become part of operational delivery rather than a separate tool.
Interiu focuses on source-linked outputs. Findings remain connected to underlying material, so teams can review the evidence, challenge conclusions and validate the work before it is used internally or delivered to clients.
Data is used within the agreed workflow and not retained for general model training. Data handling, access and deployment options can be configured around the sensitivity of each case, including EU or US infrastructure options where required.
The standard setup is a managed Interiu environment with agreed access controls. For cases with specific infrastructure requirements, client-side or dedicated deployment options can be discussed.
The best starting point is one real case with defined sources and a clear expected output. Interiu can then configure a workflow, produce an initial structured output and refine the approach based on professional review.
Start with one real case and a clear output.