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Hyper

Hyper is an AI-native operating layer that autonomously coordinates business activities across an organization. The platform connects to 70+ tools, uses large language models to understand context and execute tasks, and features a Rust-based core for millisecond-level searches across a consolidated knowledge base. It continuously learns from outcomes to optimize routing and flag risks in real time.

Traction 10/10
Santa Monica, United States · HQ
Founded 20264300+ followers
  • Enterprise Software
  • AI Agents
  • Artificial Intelligence
  • Software Only
Updated 5 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Companies struggle with fragmented workflows and manual handoffs between departments, leading to inefficiencies, delayed decisions, and operational bottlenecks. Existing software tools require constant human input and lack the intelligence to proactively manage cross-functional processes.

Solution

Hyper delivers an AI-native operating layer that autonomously coordinates business activities across the organization. The platform ingests data from connected tools and uses large language models to understand context, prioritize tasks, and execute actions without step-by-step human instruction. It continuously learns from outcomes to optimize routing, flag risks, and suggest improvements in real time. By acting as a system of intelligence over existing infrastructure, Hyper reduces busywork and accelerates execution for teams.

Target Audience

Primary customers are mid-market and enterprise operations teams looking to automate complex workflows and reduce reliance on manual process management.

Features

  • Autonomous task orchestration across 70+ connected SaaS tools, eliminating manual handoffs
  • Context-aware reasoning using large language models to interpret goals and take appropriate actions
  • Continuous learning loop that refines decision-making based on historical outcomes
  • Real-time operational insights and proactive alerts for bottlenecks or anomalies
  • Rust-based core enabling millisecond-level searches across a consolidated knowledge base
  • Parallel agent execution that splits large jobs across simultaneous research, analysis, and code tasks
  • Cloud browser and code execution for working through websites, editing projects, and turning raw data into reports
  • Shared knowledge with granular privacy controls, ensuring teammates never inherit access to act through others' accounts
  • Multiplayer context allowing team members to use shared company knowledge while controlling what stays private
This profile is AI-generated and may contain inaccuracies.