Prevision.io

Name

Prevision.io

Website

https://prevision.io

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

11–50 employees

Short description

Prevision.io is a France-based enterprise AI platform vendor, founded in 2016 in Puteaux, that enables business users, data scientists, and developers to build and deploy AI applications. The company operates with an 11-50 person team and has raised approximately $8.87M across two disclosed funding rounds.

Ownership category

akta.pro rank

Product category

Machine Learning Platforms

NAICS

Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industry

AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• Enterprise AI platform
• Automated machine learning
• Machine learning operations
• AI model deployment
• Data science platform

Headquarters

HQ city

Puteaux

HQ country

France

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure

Core offering

Prevision.io provides an enterprise AI platform that enables business users, data scientists, and developers to build, deploy, and operationalize AI applications faster and with better ROI. The platform centralizes machine learning model development, automation, and deployment workflows for organizations seeking to industrialize AI across business functions.

Differentiator

Problem solved

Functional benefit

Products and services

• Prevision.io Enterprise AI Platform

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Direct peers

• DataRobot: DataRobot is a leading enterprise AI platform providing automated machine learning, model deployment, and MLOps capabilities aimed at both data scientists and business users. It competes head-to-head with Prevision.io for the same end-to-end AI platform budget.
• Dataiku: Dataiku is a Paris-based enterprise AI/ML platform that enables business analysts, data scientists, and developers to build and deploy AI applications. It is the closest direct peer to Prevision.io given shared French origin, similar end-to-end MLOps positioning, and overlapping target customer base of large European enterprises.
• Domino Data Lab: Domino offers an enterprise MLOps platform that helps data science teams develop, deploy, and monitor models at scale. It is a direct competitor to Prevision.io in the model lifecycle management category.
• H2O.ai: H2O.ai provides an enterprise AI platform with AutoML, model serving, and MLOps tooling, plus open-source foundation models. It targets the same data scientist / business user / developer audience as Prevision.io and competes on platform breadth.

Broad incumbents

• Databricks: Databricks provides a unified data and AI platform spanning data engineering, model training, deployment, and governance via MLflow. As a much larger incumbent with broad capabilities, it competes with Prevision.io for enterprise AI platform spend, especially via its MLOps layer.
• Amazon SageMaker: Amazon SageMaker is AWS's end-to-end machine learning platform covering data labeling, training, deployment, and monitoring. As a hyperscaler incumbent, it competes with Prevision.io for the same enterprise MLOps and model lifecycle budgets.
• Google Vertex AI: Google Vertex AI is a hyperscaler-native end-to-end ML platform offering training, deployment, and MLOps tooling within the Google Cloud ecosystem. It is a broad incumbent alternative that competes with Prevision.io on enterprise AI platform budgets.

Emerging players

• Neptune.ai: Neptune.ai provides an experiment tracking and model metadata management platform used by ML teams. It overlaps with Prevision.io's MLOps capabilities but focuses specifically on the experiment tracking and observability layer rather than full lifecycle management.
• Weights & Biases: Weights & Biases provides experiment tracking, model management, and MLOps tooling widely adopted by ML practitioners. It overlaps with Prevision.io on the data science developer tooling side but does not currently offer a comparable end-to-end business-user-facing layer.
• Valohai: Valohai is a focused MLOps platform for model training, deployment, and pipeline orchestration. It targets a similar data science/ML engineering audience as Prevision.io but is a smaller, more specialized emerging player.

Market position

Customer concentration

• Xx.com/previsionIO
• Facebookfacebook.com/previsiondotio

Revenue estimate

Valuation estimate

Number of profiles

Profiles4 records

Funding overview

Funding rounds2 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Prevision.io