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Financial intelligence · On-prem

Fintera

A platform that turns financial data into reporting, consolidation, and AI-assisted executive insights while keeping data inside the company.

Design and development: Tolgahan Bora

app.fintera.ai
Fintera AI assistant main screen
Role
Product design, full-stack development
Platform
Web (on-prem deployment)
Scope
Financial reporting, AI assistant, anomaly detection, document management
Status
Active development and pilot usage

Problem

Finance teams were seeing consolidated data too late, reporting stayed manual, and anomalies were caught late. Cloud AI tools also required sensitive financial data to leave the company.

Approach and solution

I built a web platform that keeps data on-prem. Executives ask questions in natural language; the system analyzes consolidated data and returns answers. An anomaly layer makes unusual movements visible earlier.

Natural-language financial analysis

Executives query company performance through a chat interface. Answers are grounded in relevant datasets, with detail views and PDF export in the same flow.

app.fintera.ai
Fintera AI financial analysis response

Automated anomaly detection

Unusual movements in consolidated financial data are flagged automatically. Teams can see which entity and period triggered the alert from one screen.

app.fintera.ai
Fintera anomaly detection screen

Technical architecture

The web UI is a modern React client; the financial data layer and AI queries run through on-prem services. Document and folder structure supports company-level data isolation.

  • React
  • TypeScript
  • PostgreSQL
  • AI / LLM integration
  • On-prem deployment

Results

  • AI-assisted querying became possible without sending financial data outside the company.
  • The anomaly screen provides an early-warning layer that reduces manual review load.
  • The product is in active development and pilot usage under the TetryLabs brand.

Let’s talk about a similar project

If you need on-prem financial intelligence, reporting automation, or AI-assisted workflow products, we can scope the first step together.

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