AFTAs 2023: Best new technology introduced over the last 12 months (AI & machine learning)—CompatibL

Project: CompatibL AI


CompatibL AI is designed to manage labor-intensive and time-consuming tasks that would be unfeasible for humans to manage without AI assistance. It can look at every line of source code and every control log message, perform in-depth analysis of the prior documentation and release notes, and integrate all this data in a nuanced way. It can also cross reference the resulting documents with specific lines of source code.

Problems solved  

Historically, vendor-developed trading and risk management platforms and compliance and governance solutions provided a limited degree of automation due to rigid templates. They were also unable to comprehend free-form documents or source code or produce outputs that required integrating multiple disparate sources of information in model governance. CompatibL’s AI offering is innovative in the way it uses large language models (LLMs) to process and integrate information from model specifications, model test results, revision history messages, and regulatory guidelines.

CompatibL’s AI significantly improves the quality of the model governance process, while making the work of analysts less repetitive and more fulfilling. Instead of manually going through hundreds of thousands of lines of model code, revision log messages, and prior documents, the client’s model governance analysts work with CompatibL software and adjust our customized LLM prompts and settings to obtain the desired comprehension focus and generation style that matches their firm’s model governance guidelines.”

Alexander Sokol, founder and executive chairman, CompatibL 


CompatibL offers two core models: GPT-4 and Llama 2. As impressive as these LLMs are, they cannot provide specialized comprehension or document generation suitable for model governance. Only customized models enhanced and fine-tuned by CompatibL’s engineers using a curated set of documents and human feedback offer these skills and capabilities. Unique prompt engineering techniques―natural language instructions to the model―are used to obtain the desired results. Embedding techniques developed by CompatibL are used to help the model comprehend large volumes of documents and source code.


The firm’s efforts are aimed at finetuning CompatibL AI and improving the process of documentation generation and the production of model governance documents that can be provided to regulators or banks’ management for model approval if necessary. This complex task requires combining vendor model documentation with many other sources of information across the bank, most of which exist only in natural language form.

Why they won

CompatibL is a name that has, in a relatively short timeframe, become synonymous with innovation. One need look no further than last year’s AFTAs, in which it won the most innovative third-party technology vendor (AI & machine learning) category, and its recent win in the best modeling innovation category in’s Markets Technology Awards for examples of its commitment to innovation. Right now, AI is the darling of our industry, although clearly some AI initiatives are more worthy of the tag than others. CompatibL’s use of AI is in the former camp, as illustrated by its win in this year’s AFTAs on the back of its CompatibL AI initiative. Who knows what the CompatibL engineers will come up with next, although if the recent past is anything to go by, it will be both innovative and will address real-world challenges facing its growing list of buy-side and sell-side clients.

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