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Orisyn

Orisyn provides on-site voice AI agents that run entirely on a customer's own GPU hardware, eliminating cloud processing and token costs. The system delivers natural, interruptible conversation with 170ms speech-to-first-audio response using a 30B-parameter model optimized for NVIDIA Blackwell GPUs. All processing stays on-device, keeping conversations and data within the organization.

Traction 3/10
HQ unknown
Founded 2026310+ followers
  • AI Agents
  • Artificial Intelligence
  • Enterprise Software
  • Software Only
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations that handle sensitive conversations often rely on cloud-based AI voice assistants, which send speech data to third-party servers, creating privacy risks, unpredictable token costs, and network latency. This limits adoption in sectors where confidentiality and real-time interaction are critical.

Solution

Orisyn provides on-site voice AI agents that run entirely on a customer's own GPU hardware, with no cloud processing and no token costs. The system uses a 30B-parameter model optimized for NVIDIA Blackwell GPUs to deliver natural, interruptible conversation with 170ms speech-to-first-audio response. Its Thinker–Talker architecture eliminates the text stage between voice input and output, preserving tonality and environmental sounds for more natural interactions. All processing happens on-device, so conversations and data stay inside the organization with granular access controls and optional hard firewall restrictions.

Target Audience

Primary customers are enterprises and organizations that require private, on-premises voice AI for customer support, telephony, and internal communication workflows, particularly those in regulated industries or with strict data sovereignty requirements.

Features

  • Full AI agent runs on a single NVIDIA Blackwell GPU (27 GB memory footprint)
  • 170ms speech-to-first-audio latency for real-time, interruptible conversation
  • Thinker–Talker architecture with no intermediate text stage for natural voice output
  • On-site processing with no outbound data path unless explicitly opened by the customer
  • Granular access controls enforced in the stack, defining what the agent can reach and who it may contact
  • Pre-built role-specific agents (e.g., customer support for English and Swedish) deployable on email, telephony, Slack, and Teams
  • Custom agent training from organizational documents for tailored use cases
This profile is AI-generated and may contain inaccuracies.