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
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.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Radicalbit connects AI models to event-stream processing pipelines with data integrity, transformation, and online inference capabilities.
The platform supports model deployment and serving while tracking ML, computer-vision, and LLM performance metrics and data drift.
The AI Gateway centralizes LLM traffic with routing, caching, guardrails, cost controls, tracing, and configurable access controls.
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
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.