Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    967 Ratings
    Company Website
  • Interfacing Integrated Management System (IMS) Reviews & Ratings
    66 Ratings
    Company Website
  • Cloverleaf Reviews & Ratings
    189 Ratings
    Company Website
  • NeuBird Reviews & Ratings
    2 Ratings
    Company Website
  • Docket Reviews & Ratings
    59 Ratings
    Company Website
  • TelemetryTV Reviews & Ratings
    279 Ratings
    Company Website
  • Concord Reviews & Ratings
    237 Ratings
    Company Website
  • Devin Desktop Reviews & Ratings
    171 Ratings
    Company Website
  • myACI Reviews & Ratings
    481 Ratings
    Company Website
  • MuleSoft Anypoint Platform Reviews & Ratings
    1,480 Ratings
    Company Website

What is ReinforceNow?

ReinforceNow is a robust platform focused on continuous learning through AI agents, aimed at empowering teams to efficiently deploy, train, and iterate. Developers have the flexibility to build AI agents that can be trained continuously using actual production data or utilize Claude Code for automatic configuration of their setup. The platform takes care of essential elements such as reinforcement learning infrastructure, orchestrating experiments, managing agent versions, developing GPU training logic, and monitoring telemetry, which allows teams to focus on enhancing agent logic, accumulating data, and establishing reward systems. With capabilities for quick LLM fine-tuning via LoRA, high-throughput training, and extensive support for open-source models like Qwen, DeepSeek, and GPT-OSS, ReinforceNow significantly boosts developer productivity. It also features advanced telemetry tools that aid in evaluating, tracking, and refining AI agent applications, offering insights into traces, reward systems, experiment metrics, and training visibility. Teams are equipped to handle complex tasks that require context sizes from 32k to 1 million, create tailored agents for multi-turn interactions and long-term projects, and leverage various tools that facilitate their reinforcement learning processes, ultimately driving forward the boundaries of AI innovation. Furthermore, this comprehensive approach not only accelerates the learning cycle but also significantly enhances collaboration among team members, paving the way for transformative advances in AI technology.

What is Laguna M.1?

Laguna M.1 is recognized as Poolside's premier model for agentic coding, meticulously designed in-house to optimize software development processes. This sophisticated model incorporates 225 billion parameters and employs a Mixture of Experts architecture with 23 billion parameters activated, all trained on a colossal dataset of 30 trillion tokens using a network of 6,144 NVIDIA H200 GPUs. Poolside committed to developing Laguna M.1 from the ground up, utilizing proprietary data, a specialized training codebase, and an asynchronous on-policy reinforcement learning strategy within its agent framework, all specifically oriented towards agentic coding applications. The model's architecture is crafted to deliver top-tier performance within Poolside's coding agent, empowering it to adeptly reason through programming tasks, engage with an array of tools, modify code, run tests, and support extensive autonomous development sessions. Tailored for developers and teams facing complex coding obstacles, Laguna M.1 boasts enhanced capabilities in reasoning, understanding architecture, managing terminal actions, and executing multi-step processes, far exceeding the abilities of lighter models. Overall, its comprehensive feature set establishes it as an indispensable tool for professionals immersed in high-stakes software projects, making it a vital component in the landscape of agentic coding solutions.

Media

Media

Integrations Supported

Claude Code
Agent Client Protocol (ACP)
Cline
DeepSeek
Google Cloud Platform
Hugging Face
IntelliJ IDEA
Kilo Code
OpenAI Codex
OpenClaw
OpenCode
OpenRouter
Poolside
Qwen
Roo Code
RunPod
Visual Studio
Visual Studio Code
Zed
gpt-oss-120b

Integrations Supported

Claude Code
Agent Client Protocol (ACP)
Cline
DeepSeek
Google Cloud Platform
Hugging Face
IntelliJ IDEA
Kilo Code
OpenAI Codex
OpenClaw
OpenCode
OpenRouter
Poolside
Qwen
Roo Code
RunPod
Visual Studio
Visual Studio Code
Zed
gpt-oss-120b

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ReinforceNow

Company Location

United States

Company Website

www.reinforcenow.ai/

Company Facts

Organization Name

Poolside

Date Founded

2023

Company Location

United States

Company Website

www.poolside.ai/models

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Claude Opus 4.8 Reviews & Ratings

Claude Opus 4.8

Anthropic
GLM-5 Reviews & Ratings

GLM-5

Zhipu AI
TF-Agents Reviews & Ratings

TF-Agents

Tensorflow
Laguna XS.2 Reviews & Ratings

Laguna XS.2

Poolside