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Description
Hyper is an innovative internal developer platform powered by AI, aimed at enabling enterprise teams to rapidly create custom software, internal tools, and applications with enhanced efficiency and scalability. Serving as a “first-mile” engine in the software development process, it empowers organizations to convert structured business logic into fully operational applications that are owned by developers, utilizing AI-driven scaffolding. This platform prioritizes both speed and autonomy, allowing teams to develop secure and scalable solutions within days while retaining complete control over their systems without depending on third-party vendors. Hyper is designed to eliminate disjointed workflows and temporary prototypes, offering a unified architecture that reflects an organization’s internal framework, standards, and procedures. Additionally, it introduces a contextual system where interactions, memory, and business logic are organized to enable AI agents to not only access data but also to analyze and engage in the execution of processes. By fostering a collaborative environment, Hyper enhances the overall software development experience for teams.
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framework that uncovers insights and mitigates common friction points such as conflicting configurations and outdated artifacts.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
Yes
API Access
Has API
No
Integrations
Claude
Yes
Amazon Web Services (AWS)
Yes
Claude Code
Yes
Cursor
Yes
Docker
No
Jupyter Notebook
No
Meta AI
No
Model Context Protocol (MCP)
Yes
OpenAI
No
PostgreSQL
Yes
Integrations
Claude
Yes
Amazon Web Services (AWS)
No
Claude Code
No
Cursor
No
Docker
Yes
Jupyter Notebook
Yes
Meta AI
Yes
Model Context Protocol (MCP)
No
OpenAI
Yes
PostgreSQL
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hyper
Founded
2023
Country
United States
Website
www.madeonhyper.com
Vendor Details
Company Name
NEO
Country
United States
Website
heyneo.so/
