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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Cooperly is the Human Operating System for founder-led, AI-native teams. It turns the people context founders keep in their heads into a living operating layer for team leads, employees, and AI—so ownership stays clear, friction shows up earlier, and managers know when to act. Cooperly combines practical Coop Profiles, weekly Pulse signals, Team Fundamentals, Member Facts & Memories, hiring context, and an evidence-backed Team Roadmap. Its AI Context Layer and MCP give approved AI tools selected, permissioned, read-only people context without handing human judgement to AI. Built especially for growing teams of 15–50 people, Cooperly helps companies scale context and leadership quality before management bureaucracy takes over. Start with a 30-day full-access trial; no credit card is required. A free four-week Guided Rollout is also available.

Description

NEO functions as an autonomous machine learning engineer, embodying a multi-agent system designed to seamlessly automate the complete ML workflow, allowing teams to assign data engineering, model development, evaluation, deployment, and monitoring tasks to an intelligent pipeline while retaining oversight and control. This system integrates sophisticated multi-step reasoning, memory management, and adaptive inference to address intricate challenges from start to finish, which includes tasks like validating and cleaning data, model selection and training, managing edge-case failures, assessing candidate behaviors, and overseeing deployments, all while incorporating human-in-the-loop checkpoints and customizable control mechanisms. NEO is engineered to learn continuously from outcomes, preserving context throughout various experiments, and delivering real-time updates on readiness, performance, and potential issues, effectively establishing a self-sufficient ML engineering framework that uncovers insights and mitigates common friction points such as conflicting configurations and outdated artifacts. Furthermore, this innovative approach liberates engineers from monotonous tasks, empowering them to focus on more strategic initiatives and fostering a more efficient workflow overall. Ultimately, NEO represents a significant advancement in the field of machine learning engineering, driving enhanced productivity and innovation within teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
Asana
ChatGPT
ClickUp
Docker
Jupyter Notebook
Linear
Meta AI
Microsoft Teams
Notion
OpenAI
Slack
Telegram
Visual Studio Code

Integrations

Claude
Asana
ChatGPT
ClickUp
Docker
Jupyter Notebook
Linear
Meta AI
Microsoft Teams
Notion
OpenAI
Slack
Telegram
Visual Studio Code

Pricing Details

£20/month
30-day full-access trial; no credit card required. For Teams: £25/month billed monthly or £20/month billed annually, for one team with up to 10 members. For Companies: £99/month billed monthly or £79/month billed annually, for up to five teams and 50 members. A free four-week Guided Rollout is available by application. Enterprise pricing is custom.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Cooperly

Founded

2025

Country

United Kingdom

Website

cooperly.ai/

Vendor Details

Company Name

NEO

Country

United States

Website

heyneo.so/

Product Features

Team Management

Assignment Management
Commenting / Notes
Goal Setting / Tracking
Messaging
Productivity Analysis
Progress Tracking
Project Planning
Resource Management
Task Management
Third Party Integration
Time Tracking

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