Dottxt: Making AI Speak the Language of Every Application
It brings structured generation to make LLMs more reliable and usable in businesses, closing the gap between AI & production software.
Dottxt is tackling a major challenge faced by enterprises today: integrating large language models (LLMs) into existing software systems.
Despite their promise, LLMs often produce unpredictable and unstructured outputs that do not align with the requirements of traditional software engineering workflows.
As a result, LLMs cannot be effectively utilized in production environments, limiting their usefulness in enterprise settings.
The Solution
To address this issue, Dottxt introduced a programming paradigm called structured generation, which defines clear output grammars for LLMs to ensure predictable and usable responses in enterprise applications.
By implementing guardrails and guiding LLMs to respond in a structured manner, Dottxt has made AI outputs more reliable, bridging the gap between LLMs and traditional computing systems.
Dottxt transforms LLMs from conversational tools into reliable computational resources, enabling seamless integration with digital ecosystems.
By providing structured, deterministic responses, Dottxt enables LLMs to support previously impossible workflows. This allows data scientists to make accurate natural language database queries, HR professionals to filter CVs for specific qualifications, and designers to efficiently extract attributes from large image banks.
Dottxt's business model focuses on creating a powerful, model-agnostic structured generation solution that integrates into software engineering processes. Unlike other solutions, Dottxt is not limited to a specific model and aims to offer better features and performance than existing open-source projects like Outlines.
The company's approach prioritizes rapid user adoption over immediate commercialization, with plans to focus on enterprise clients within the next six months.
Company Overview
Founded in Paris, Dottxt is a software development company specializing in structured generation for large language models. The company offers machine language models for information extraction and classification via API, along with customized technology advisory services to help businesses achieve strategic goals.
Since its inception, Dottxt has raised $11.9 million in funding, split between a $3.2 million pre-seed round led by Elaia in December 2023 and an $8.7 million seed round led by EQT Ventures in August 2024. Other investors include notable figures like Julien Chaumond (CTO of Hugging Face) and Bob van Luijt (CEO of Weaviate), showcasing strong support from the AI community.
With these funds, Dottxt is expanding its team, which will reach 17 members by the end of the month, up from eight in June. Over the next 18 months, Dottxt's main objective is to accelerate user adoption and establish itself as the default framework for LLM programming in enterprise environments.
Dottxt envisions a future where structured generation becomes an integral part of every LLM, effectively transforming AI into a truly programmable resource that meets the reliability demands of real-world systems.