The problem Finora solves

1. Daily Financial Management Made Effortless

No need to manually track expenses or budgets — FINORA syncs with bank accounts, ERPs, and payment gateways to keep everything up to date automatically.

Smart alerts tell you only when something important or unusual happens, saving time and mental load.

2. Smarter, Safer Decision-Making

AI forecasts help you see financial problems months ahead so you can act before they happen.

“What-if” simulations let you test expansion plans, hiring, or big purchases without risking real money.

3. Automated Cost Savings

Detects overspending patterns and pauses wasteful expenses before they snowball.

Negotiates with vendors for better rates — you get the savings without awkward phone calls.

Challenges we ran into

1. Real-Time Data Integration Bottleneck

Problem: When connecting multiple banking APIs, ERP systems, and payment gateways, data refresh lagged by 20–30 seconds, breaking the “real-time” experience.

Solution: Implemented asynchronous API calls with batch processing queues, reducing refresh time to under 3 seconds.

2. Forecast Accuracy vs. Data Gaps

Problem: The AI model initially made poor predictions because many SMEs had incomplete financial histories.

Solution: Created a data enrichment pipeline that pulled in public market data, industry benchmarks, and seasonal trends to fill the gaps — boosting accuracy from 68% to 93%.

3. AR Dashboard Performance

Problem: AR visualizations lagged on low-end devices, making the interface feel slow.

Solution: Switched from heavy 3D rendering to lightweight vector-based rendering and lazy-loading of non-critical elements, improving FPS by 40%.