Financial Intelligence Platform

Most AI finance tools depend on large, general-purpose frontier models operated by external vendors. That creates three problems: your data leaves your walls, you can't see how conclusions are reached, and you're exposed if the vendor changes pricing, changes behavior, or withdraws the model entirely.

We take a different approach. The platform runs on smaller, fine-tuned, distilled models trained specifically for your business and your financial domain, running inside your account. This isn't a compromise; for financial analysis, it's the better engineering choice, for a few reasons:

Higher-quality outputs You don't need a model that can write poetry or design a spacecraft. You need one that knows your company, your chart of accounts, your patterns, cold. A focused model tuned to your specifics outperforms a general-purpose giant on your actual work.

You control the model, permanently. No external vendor can throttle, alter, or discontinue the model your finance function depends on, since it belongs to you.

Full, ongoing transparency. Because the models are yours and observable, you get continuous visibility into model behavior and can detect model drift and data drift as they emerge, which is how the outputs stay trustworthy over time.

Better economics where it counts. This isn't the cheapest tool on the market, and it isn't meant to be. It delivers better economics than running frontier models against sensitive data at scale, and better value than the fully-loaded cost of analysts producing this analysis by hand.

Because this product produces financial judgment rather than just visuals, accuracy and accountability matter more here than they would for a dashboard. The platform is built as decision support, with your finance team in the loop and a full audit trail behind every conclusion.

Quality is maintained through a shared tuning loop. Your financial professionals review outputs and tell us what to adjust and why; IDT's financial and ML specialists do the same from our side. Together we keep the model calibrated to your reality. Every output is traceable, every recommendation is reviewable, and drift is caught early, so trust in the numbers is earned continuously rather than assumed.