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TN

Trans-N

Trans‑N delivers on‑premise AI appliances powered by Apple M3 Ultra hardware that run open‑source large language models locally, providing sub‑second inference and secure fine‑tuning within enterprise networks. The N‑Cube platform includes modular applications (e.g., N‑Chat, N‑Note) and integrates with IAM, encryption, and compliance controls for regulated industries.

Bunkyo, JapanFounded 20241010+ followers
Updated 3 months ago

Funding

$1.1M raised to dateRaised 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.

UI
Funding rounds are not available yet.

Founders

Product

Problem

Enterprises that want to leverage generative AI often must rely on cloud services, which can conflict with strict data‑privacy, compliance, and security policies. This limits adoption in regulated sectors and hampers integration with existing on‑premise workflows.

Solution

Trans‑N delivers on‑premise AI solutions that satisfy enterprise‑grade security requirements while providing a user‑friendly experience. Its N‑Cube platform bundles high‑performance hardware (Apple M3 Ultra, up to 0.5 TB unified memory) with locally hosted open‑source large language models, enabling real‑time inference and on‑site fine‑tuning. The N‑Note assistant offers a self‑learning meeting‑recording and chat tool that runs entirely within the corporate network, eliminating data egress. For organizations with bespoke needs, Trans‑N acts as a technology partner to design, develop, and deploy custom generative‑AI systems, handling everything from PoC to production rollout. All offerings include modular application extensions, continuous post‑training via supervised fine‑tuning (SFT) and reinforcement learning from human feedback (RLHF), and secure, role‑based access controls.

Features

  • Integrated hardware appliance (Apple M3 Ultra CPU/GPU/Neural Engine) capable of running LLMs fully in‑memory for sub‑second latency
  • On‑premise deployment with LAN/offline operation, ensuring zero external data transmission
  • Open‑source LLM stack supporting post‑training (SFT) and RLHF for organization‑specific knowledge acquisition
  • Modular app ecosystem (N‑Chat, N‑Translate, N‑NAS, N‑Note) that can be added or updated via secure OTA patches
  • Intuitive web UI and API layer for seamless integration with existing enterprise systems and IAM solutions
  • End‑to‑end encryption, role‑based access control, and audit logging to meet compliance standards (e.g., ISO 27001, GDPR)
  • Rapid provisioning workflow (≈30 minutes) with automated hardware diagnostics and remote management console
This profile is AI-generated and may contain inaccuracies.