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dottxt

AI InfrastructureVerified85% conf

AI infrastructure company focused on tool calling specifications and compatibility for open source machine learning models

dottxt.ai

📍 Paris, France

Verified Data

💰
Est. Revenue<$1M ARR

Based on $11.9M seed funding and ~27 employees, typical early-stage B2B infrastructure SaaS metrics suggest sub-$1M ARR at this stage

🚀
Funding$11.9M seed funding ($3.2M pre-seed Dec 2023, $8.7M seed Oct 2024)
🔗techcrunch.com
📊
Monthly Traffic10,000 - 50,000 visits/month

Estimated 10,000 - 50,000 visits (SimilarWeb ballpark)

👥
Users13.7k+ GitHub stars
🔗github.com
🧑‍💻
Team Size~27 employees

~27 employees (as of Feb 2026)

📈
GrowthRaised $11.9M within 10 months
🔗techcrunch.com
🏷️
StageSeed (Oct 2024)
📅
Founded2023

Company Profile

ModelOpen Core / Infrastructure SaaS
VerticalAI/ML, Developer tools
ClientsAWS, vLLM, LM Studio
BuyersAI developers, ML engineers, enterprise AI implementation teams building applications that need structured LLM outputs
PricingTiered API/Enterprise pricing (not publicly listed), free schema audits available

Contact

Strategic Analysis

Strategy

Open-core model with free open-source Outlines library driving adoption, monetizing through enterprise API services and partnerships. Targeting the critical infrastructure layer for reliable AI outputs as LLM adoption scales across enterprises. Building strategic partnerships with cloud providers like AWS to embed their technology in the AI development stack.

Tactics

Heavy investment in open-source community building with 13.7k+ GitHub stars on core library. Strategic partnerships with major infrastructure players like AWS, vLLM, and LM Studio for distribution. Leveraging Station F ecosystem and European funding to build technical moat in structured generation space.

Competitive Positioning

Positioned as the infrastructure layer for reliable LLM outputs, competing with in-house solutions and other structured generation tools. Differentiates on performance, ease of integration, and comprehensive format support (JSON Schema, Regex, etc.). Open-source approach builds trust and adoption versus proprietary alternatives.

Marketing Approach

Developer-first growth through open-source community engagement and technical content. Partnership-driven distribution through cloud providers and AI infrastructure companies. Conference presence and technical blog content targeting ML engineers and AI developers building production systems.

Notable

Selected as one of Station F's Future 40 most promising startups in 2024, AWS partnership for structured LLM outputs

🔗 Source ↗

Tech Stack

PythonPythonOutlinesPydanticvLLMOllamaJSON SchemaRegexMintlify

Recent News

Related AI Infrastructure Companies

Discovery Sources

Signals

web traffic10,000 - 50,000 visits/month

Estimated 10,000 - 50,000 visits (SimilarWeb ballpark)

growth rateRaised $11.9M within 10 months🔗 source ↗
team size~27 employees

~27 employees (as of Feb 2026)

user count13.7k+ GitHub stars🔗 source ↗
funding raised$11.9M seed funding ($3.2M pre-seed Dec 2023, $8.7M seed Oct 2024)🔗 source ↗
trend indicatorMachine Learning🔗 source ↗
trend indicatorOpen Source🔗 source ↗
trend indicatorTool Calling🔗 source ↗

Evidence

thetypicalset.com

Tool calling with closed-source models is seamless.

techcrunch.com

$11.9M seed funding ($3.2M pre-seed Dec 2023, $8.7M seed Oct 2024)

github.com

13.7k+ GitHub stars

techcrunch.com

Raised $11.9M within 10 months