Find the best AI & ML service provider from 711+

Google Cloud Platform

4.6

Umbrella for Google’s cloud services: Vertex AI, BigQuery ML, GKE. Supports RL, time series forecasting, autoML models, etc.

Ray (Anyscale)

4.5

Distributed compute framework for Python, powering RLlib for reinforcement learning, time series analysis, large-scale ML.

PagerDuty

4.4

Incident management platform that aggregates alerts, uses ML-based noise reduction, and anomaly detection for devops teams.

Microsoft Azure Machine Learning

4.4

Azure ML studio for training, deploying, and managing ML models. Includes time series analysis, AutoML, RL integration.

Timescale

4.4

Time-series SQL database built on PostgreSQL. Often used with anomaly detection and ML time series forecasting frameworks.

Datadog

4.3

Monitoring and security platform with anomaly detection for infrastructure metrics, logs, and traces in real time.

Google Cloud Anomaly Detection (Vertex AI)

4.2

Part of Google Cloud’s Vertex AI, offering custom anomaly detection models for time series or metric data.

Anodot

4.2

Real-time anomaly detection platform for business metrics, using ML to autonomously learn normal patterns.

New Relic

4.2

Observability platform with AI-based anomaly detection across apps, infrastructure, logs, and browser data.

Amazon Forecast

4.2

Time series forecasting service built on ML. Integrates with AWS data sources for demand planning, anomaly detection, etc.