Reflection AI

Founded by https://www.linkedin.com/in/mishalaskin/

Deploy, fine-tune, and run open-weight language models across cloud or private infrastructure

Pricing model

Demo

Time to value

Requires Expertise

You can use Reflection to access, fine-tune, and deploy open-weight language models across your preferred environments. It provides models like Beam alongside deployable containers, customization recipes, and agentic harnesses that give you full control over your machine learning stack. You can run models via an API or host them directly on private clouds, on-premises servers, air-gapped setups, or edge systems. This allows technical teams to build custom workflows, inspect model behavior directly, and maintain complete ownership over data privacy and infrastructure.

What Reflection AI does

Download and run open-weight model containersFine-tune language model parameters on custom datasetsDeploy models across edge or private cloud hardwareSend API requests for text generation and reasoningConfigure agentic harnesses for multi-step AI tasksAudit model weights and inspect safety guardrailsDeploy open-weight models such as Beam 501BHost models on premises or inside air-gapped environmentsRun model inference through a cloud APIFine-tune model weights on proprietary datasetsUse pre-built containers to deploy model instances quicklyBuild autonomous workflows using agentic harnessesInspect model architecture and safety data directly