AI Powered Automation
for Finance
AI is becoming infrastructure. Finance needs its own.
The question is no longer whether AI belongs in financial work. It already does. The real question is whether the platform is good enough for the standard institutions actually require.
Sibel is built around that standard: purpose-built for financial workflows, architected for sovereignty, and designed to keep teams on the frontier as models improve. It does not sit beside the workflow. It is built to run inside it.
10×
Not faster. More capable.
When retrieval, planning, and execution compress from hours to minutes, the gain is not cosmetic efficiency. It is analytical surface area. The team that can cover ten scenarios in the time it once took to cover one is operating at a different level.
Go deeper into the platform.
Explore each product surface directly, from ontology and modelling to data integrations and Office-native execution.
Ontology
The structure underneath every analysis.
Analytics & Modelling
Compute that lives inside the research, not beside it.
Data Integrations
The research surface, assembled.
Sibel in Word
Draft, revise, and format investment writing directly in Word.
Sibel in Excel
Model, analyse, and format working sheets directly in Excel.
Sibel in PowerPoint
Draft, structure, and polish presentation decks directly in PowerPoint.
Three principles behind Sibel
The platform reflects a clear position on what enterprise AI in finance has to become: purpose-built, sovereign, and always connected to the leading edge of model capability.
Purpose-built for finance
Financial workflows require more than a general chat model. Sibel is designed around the data, language, tools, and deliverables that finance teams actually use.
Sovereign by design
Institutions need control over where inference runs, where data is stored, and how access is governed. Sibel is built so that those decisions remain explicit and enforceable.
Open to the best models
Model quality moves quickly. Sibel gives teams access to leading models from Anthropic, Google, and OpenAI without forcing them into one provider or one procurement cycle.
Transform your analytical workflow
Join institutions using Sibel to explore more scenarios, test more hypotheses, and arrive at decisions with greater conviction.