Gemini 3 Now Powers EBITDAI Model Encoding
We've integrated Google's latest Gemini 3 model into our encoding process. In our testing, it delivers significantly more reliable model encoding, a critical improvement for financial modeling accuracy.
Why Model Encoding Matters
At the heart of EBITDAI is a proprietary encoding process that translates your financial model requirements into structured code our system can execute. This encoding step is critical. If the AI misinterprets your intent or produces inconsistent output, the entire model falls apart.
Financial models demand precision. A single misencoded assumption can cascade through projections, creating errors that compound over months or years of forecasted data. That's why we're constantly evaluating the best AI models for this crucial step.
Enter Gemini 3
Google's Gemini 3 represents a significant leap in reasoning capabilities and instruction-following accuracy. After extensive testing across hundreds of model encoding scenarios, we found Gemini 3 delivers:
- More consistent output structure
Gemini 3 follows our encoding schema more reliably, reducing malformed outputs that require regeneration.
- Better interpretation of complex requirements
Multi-layered financial logic, like growth curves within growth curves, are handled with greater accuracy.
- Faster encoding times
Improved efficiency means your models are ready sooner without sacrificing quality.
- Reduced retry rates
First-pass success rates have improved significantly, meaning less waiting on regeneration.
What Our Testing Showed
We ran Gemini 3 against our existing model encoding pipeline across a diverse set of financial model types, from simple revenue projections to complex multi-entity consolidations with intercompany eliminations.
The results were clear: Gemini 3 is significantly more reliable at producing valid, executable model code on the first attempt. Edge cases that previously required multiple regeneration cycles now succeed reliably.
This reliability improvement is particularly noticeable in complex scenarios, exactly where precision matters most for finance professionals building sophisticated forecasts.
What This Means for You
If you're already using EBITDAI, you'll notice the improvement automatically. There's nothing you need to do. Your models will simply work more reliably, especially when dealing with complex financial logic.
This upgrade reinforces our commitment to using the best available AI technology for financial modeling. As new models emerge, we continuously evaluate and integrate improvements that benefit our users.
Looking Ahead
The AI landscape continues to evolve rapidly. Our dedicated platform architecture means we can quickly adopt improvements as they become available, without the technical debt that comes from trying to support every possible modeling approach.
Gemini 3 powered EBITDAI's encoding at the time of this post. EBITDAI has since moved to a bring-your-own-AI model. See the update linked below.
EBITDAI Now Runs on Your Own AI Account
Connect your own Kimi or DeepSeek account: flat costs, no usage fees. Read the announcement: Powered by Kimi and DeepSeek.
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