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What is Prefactor?

Prefactor is an innovative platform that specializes in the real-time evaluation, oversight, and dependability of AI agents in production environments. It performs immediate assessments of each execution using various metrics such as quality, drift, cost, and data risk, effortlessly transforming these evaluations into actionable insights to identify any malfunctioning agents in real time instead of simply displaying results on a post-execution dashboard. Teams gain the ability to monitor every model invocation, tool application, and decision-making process via structured traces and spans, which facilitates evaluations through LLM-as-judge, technical assessments, qualitative reviews, and custom metrics throughout the entire workflow. Furthermore, it allows for the integration of context from diverse sources like GitHub, Linear, Jira, databases, and internal APIs, which act as ground truth for the assessments. If any run surpasses set thresholds, Prefactor can block or slow down the process, suspend critical actions, or escalate the decision to a human for approval, modification, or rejection before proceeding, all while keeping detailed logs of every decision made. Its command-line interface enables users to discover agents without requiring migration to a different platform, and the TypeScript and Python SDKs allow for smooth integration with tools such as LangChain, Claude, Vercel AI, OpenClaw, and LiveKit, enhancing the platform's overall capability and flexibility. This all-encompassing strategy not only maximizes the performance of AI agents but also promotes teamwork by offering transparent visibility and control over the AI operations, ensuring that all stakeholders are well-informed and engaged throughout the process. By leveraging these features, organizations can achieve higher efficiency and reliability in their AI deployments.

What is Mountain Theory?

Mountain Theory is AI security for companies running autonomous AI agents. Before an agent's action runs, Mountain Theory checks it against your rules and allows it, holds it for a person to approve, or blocks it. It stops an agent working around a block, catches an agent drifting off the task it was given, and stops new bad behavior on the day it first appears, with no new rule needed. It also keeps personal data from leaving and blocks instructions hidden in documents. Rules are written in plain English with no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. We publish our recorded tests, misses included.

Media

Media

Integrations Supported

AutoGen
Claude Code
Code Llama
Cohere
Cursor
Gemini
GitHub
GitHub Copilot
Llama
LlamaIndex
Microsoft Azure
New Relic
Okta
OpenAI
Python
Semantic Kernel
Slack
Vercel AI Gateway
Vercel AI SDK
Visual Studio Code

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

$250 per month
Free Version

Pricing Information

Paid plans use flat annual pricing. A 30-day proof of concept is available.

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Prefactor

Company Location

Australia

Company Website

prefactor.tech/

Company Facts

Organization Name

Mountain Theory

Date Founded

2024

Company Location

United States

Company Website

mountaintheory.ai

Categories and Features

Agentic AI

Not specified

Categories and Features

AI Agent Security

Not specified

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