Related Products
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About
Hyper is an AI-powered internal developer platform designed to help enterprise teams build custom software, internal tools, and applications faster, smarter, and at scale. It acts as a “first-mile” engine for software development, enabling organizations to transform structured business logic into fully functional, developer-owned applications using AI-native scaffolding. It emphasizes speed and sovereignty, allowing teams to create secure and scalable solutions in days while maintaining full control over their systems without reliance on external vendors. Hyper is built to replace fragmented workflows and disposable prototypes with a cohesive architecture that mirrors an organization’s internal structure, standards, and processes. It introduces a system of context where interactions, memory, and business logic are structured in a way that allows AI agents not just to retrieve data but to reason over it and participate directly in execution.
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About
NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprise engineering teams that want to build and own AI-native internal software systems faster while maintaining full control over their architecture and data
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Audience
Machine learning engineering teams and data scientists looking for a solution to outsource routine ML pipeline execution to an autonomous system that builds, validates, and deploys models with minimal manual intervention
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationHyper
Founded: 2023
United States
www.madeonhyper.com
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Company InformationNEO
United States
heyneo.so/
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Categories |
Categories |
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Integrations
Claude
Amazon Web Services (AWS)
Claude Code
Cursor
Docker
Jupyter Notebook
Meta AI
Model Context Protocol (MCP)
OpenAI
PostgreSQL
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Integrations
Claude
Amazon Web Services (AWS)
Claude Code
Cursor
Docker
Jupyter Notebook
Meta AI
Model Context Protocol (MCP)
OpenAI
PostgreSQL
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