Levlo is a platform for reliably integrating language models with rule-based systems without fine-tuning, re-training, or tedious sample authoring.
Levlo is based on defining a specific structured natural language for every use-case. The use-case language acts as the communication medium and single source of truth for humans, language models, and traditional software.
Our solution utilizes the knowledge encoded into the use-case language to make any language model an expert of your use-case. No re-training, fine-tuning or sample authoring needed! The use-case agent is then able to help out humans or other systems to achieve their goals.
User is able to validate and modify the use-case language produced by the agent using an editor which prevents any syntactic or semantic errors.
The use-case language can be programmed against like any data structure. Utilizing the language produced by the agent or a user in rest of your software is as easy as getting data from a database.
We have built a no-code document generation platform that builds on the capabilities of Levlo. The platform is ready to be deployed into new use-cases and domains.
We worked with Custom Legal Docs founder Andre Hays to build an innovative document automation solution for estate planning attorneys in the US.
While our platform is not quite ready for external developers, we are constantly building real-world cases with pilot customers.
Drop us a message and let's set up a call to see whether your case would be a good match!
Or just sign up to be among the first to hear as we make progress towards a self-service model.
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