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MLOps platformsDiscontinued

Radicalbit

Enterprise platform for deploying, monitoring, and governing AI applications

Radicalbit provides enterprise AI infrastructure for deploying and serving ML, computer-vision, and LLM applications. Its products cover real-time ML pipelines, model observability, open-source AI monitoring, and an AI Gateway for routing, guardrails, usage controls, and visibility across AI traffic.

RARadicalbitProduct screenshot pending
Best for
Enterprise teams deploying ML, computer-vision, or LLM applications
Pricing signal
Not publicly listed
Primary category
MLOps platforms
Last verified
Jul 30, 2026

The decision

Should Radicalbit make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

  • Enterprise teams deploying ML, computer-vision, or LLM applications
  • Data teams that need production model monitoring and drift detection
  • Organizations governing AI traffic, usage, and security controls
Practical use cases

Jobs it can take on

  • Build streaming data pipelines that serve low-latency model predictions
  • Measure model quality and detect data drift in production
  • Route LLM traffic through a centralized gateway with guardrails and usage limits
Before you choose

Know the tradeoffs

  • The commercial platform uses subscriptions with seat counts determined by subscription type.
  • Public pricing is not listed, and the site directs prospective customers to book a demo.
  • The open-source AI Monitoring product is focused on observability rather than the full commercial platform.

Inside the product

What you can actually do with it.

The core product capabilities, grouped around the work they enable.

Real-time machine learning

Radicalbit connects AI models to event-stream processing pipelines with data integrity, transformation, and online inference capabilities.

MLOps and observability

The platform supports model deployment and serving while tracking ML, computer-vision, and LLM performance metrics and data drift.

AI Gateway

The AI Gateway centralizes LLM traffic with routing, caching, guardrails, cost controls, tracing, and configurable access controls.

Typical workflow

Teams create a workspace and organize the resources used for their AI applications, streams, and pipelines. They deploy or connect models and LLM services, then use monitoring, alerts, and gateway controls to observe performance and govern production traffic.

Plans and official links

Plans and accessNot publicly listed.

See the entry price, free access options, company details, and direct vendor destinations in one place.

Choosing for a real workflow?

Make the tool work with the rest of your operation.

We map the workflow, connect existing systems, choose what to buy, and build what is missing.

Discuss your workflow