Lime unlocks the power of models like hat-GPT to make financial analysts more productive in a safe and trustable environment that is tailored to your organization's unique data and standards.
Supports any kind of text-based financial documents or call transcripts (even from video). Easily summerize a wide variety of analyst reports
Build comparative analysis reports on the fly and use point and click or chat to elaborate and enhance paragraphs or add source material references
Lime is customized to your enterprise context. Lime understands your valuation methods, standards and how you work with different asset classes
Upload any kind of financial document for processing by the LLM: PDFs, Excel, CSV, Call Transcripts, 10-K reports and other analyst reports. Option to use automated pipeline to make latest and freshest documents always available.
Select two or more companies to compare to generate reports. Review individual company reports, and comparative analysis. Tweak reports by choosing from reporting periods, evalaution methods and calculation methods, which can be tweaked to your enterprise context and standards.
Click individual paragraphs to elaborate explanations further Resposnes are tailored to your organizational standards and evaluation methods for your firm and asset type.
Click "Citation" to reveal the original source documents for summerized paragraphs.
Valuation analysis is an iterative and investigative process. It requires intuition and quick digestion of multiple information sources. Lime augments financial analysts to take on this complex work.
Glean insights quicker and make informed recommendations sooner by working more efficiently
Access to more information sources than humans alone can reasonably investigate
Act with greater confidence thanks to a more comprehensive analysis backed by citations
Lime reports are generated by the contents of the uploaded financial documents you make available. The model pipeline and workflows are designed conservatively with multiple constraints (including those unique to your organization).
Lime generated reports have been reviewed by financial anlaysts, but each organization has their own standards and evaluation methods to consider. Lime understands your enterprise context and has controls, monitoring and guardrails to ensure accuracy included in the Databricks platform.
Lime is a flexible and transparent solution, which can be configured with the latest open source modes, including Databrick's DBRX, which can match the accuracy of commerical models, but at a reduced cost of inference.
Lime runs on your existing Databricks environment. When paired with open source model hosting, no data leaves your organization's existing cloud infrastructure.