Z
ZML
AI · Paris, France · Founded 2023
High-performance AI framework with modular ZML primitives, hardware agnostic, and Python-free for seamless deployment MoreLess
ZML offers a high-performance AI framework designed for precision and speed, catering to businesses requiring robust production environments. The framework is built without Python, ensuring clean and efficient code execution. ZML's modular primitives are reusable and self-contained, allowing for rapid development and deployment. The platform is truly hardware agnostic, enabling users to switch hardware with a single command without compromising performance. ZML optimizes across all major accelerator platforms, providing predictable and flat latency. It supports deployment on Kubernetes, Sagemaker, or bare metal, integrating seamlessly with existing infrastructure. The API is compatible with OpenAI, allowing users to maintain their usual tools. ZML includes a Prometheus built-in stack for easy monitoring, ensuring reliable performance in production. The company serves clients in need of high-performance AI solutions, operating in the AI and machine learning market. ZML's business model focuses on providing a robust framework that enhances the efficiency and scalability of AI deployments, generating revenue through licensing and support services. Keywords: AI framework, ZML primitives, hardware agnostic, Python-free, high performance, modular, deployment, Kubernetes, OpenAI compatible, Prometheus.
Company overview
ZML company information
The essential company record, classifications and operating signals in one place.
- Status
- Operational
- Founded
- 2023
- Headquarters
- Paris, France
- Employees
- 20
- Open positions
- None listed
- Dealroom signal
- 87.7
Valuation & funding
ZML funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| EARLY VC✓Equity / VC | Jul 2026 | $20M | $80M | Clément Delangue · LocalGlobe · Julien Chaumond · Kima Ventures | ↗ |
Financials
Workforce over time
Available workforce history. Financial fields without reported data are omitted.
| Year | Employees |
|---|---|
| 2026 | 21 |
| 2025 | 10 |
Growth signals
ZML website traffic
Latest recorded traffic for ZML is 17K monthly website visits, down 10.5% over the last three months. ZML's team grew 100% over the past year.
Comparisons
ZML compared with similar companies
Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.
| Company | Headquarters | Status | Employees | Total funding | Valuation |
|---|---|---|---|---|---|
DataRobot JapanEnterprise AI platform for building and managing models. |
Tokyo, Japan | Operational | — | — | — |
TensorMem Inc.AI-native software optimizing GPU utilization for training |
— | Operational | |||
TogetherCloud infrastructure for developers and enterprises to train, fine-tune and run AI models |
Menlo Park, United States | Operational | |||
SF TensorAI infrastructure for cross-cloud compute optimization |
San Francisco, United States | Operational | |||
MobileGenerationAI-driven automation solutions enhancing productivity, reducing costs, and streamlining operations for business growth |
— | Operational | |||
AutolabAutonomous AI agents optimizing machine learning research. |
San Francisco, United States | Operational | |||
Bulletz.aiHigh-precision, high-speed AI results platform. |
— | Operational | |||
QuantivisionEnterprise AI systems for production-grade machine learning |
Toronto, Canada | Operational |
Talent graph
ZML's talent
Source: Dealroom Talent Intelligence.
Global footprint
Where ZML has talent and traffic
team presence
In the news
Latest news about ZML
Recent press, funding announcements, and product moves mentioning ZML — open to read from the original sources.
Market sentiment
What the market is saying about ZML
An AI-synthesized read of the highest-engagement posts about ZML on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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