Cost management for AI

Calibrtr’s AI tools allow companies using cloud generative AI models (like Chat GPT) to monitor cost and quality of deployments.

Use-cases

Using Cloud Generative AI (i.e Chat GPT, Claude) in products is different to traditional software. While traditional software costs money to develop but little to deploy, gen AI deployment has high recurring costs. It’s also less predictable - more like deploying people than software. Companies we talk to say:

"My cloud generative AI spend is prohibitively high and unpredictable"

"I don’t know exactly how my AI is performing or what it is saying/ doing to my users"

"I can’t easily manage multiple AI deployments"

Calibrtr offers tooling to make managing AI deployments easier and give users greater control over their Cloud Generative AI use. We are particularly useful for companies managing deployments of multiple LLMs at the same time who need to track cost and latency.

Use-cases

Features

Single pane dashboard

See all your AI usage, costs and latency in one place

System and feature level monitoring

Drill down into your deployments to identify areas of high spend or poor latency performance

Alerting

Set smart alerts to ensure costs don’t overrun, and that you know if performance is slipping

Replays of conversations and interactions

Pinpoint problems with prompts and agent models

Optimisation experiments

Test your prompts and usecases against all available models to identify the best mix of cost and value

Cost management for AI

Calibrtr’s AI tools allow companies using cloud generative AI models (like Chat GPT) to monitor cost and quality of deployments.

Use-cases

Use-cases

Features

Features

Single pane dashboard

System and feature level monitoring

Alerting

Replays of conversations and interactions

Optimisation experiments

Our limited beta program is open

Calibrtr

Company

Resources