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Infinitibit

Infinitibit provides an on‑premise AI infrastructure that runs deterministic, governed AI agents with a Rust‑based core and the GraphBit engine, delivering up to 68× lower CPU and 140× lower memory usage than typical platforms. The platform offers Python bindings for integration, compliance with EU AI Act and security standards, and tools like InfinitiFlow to automate workflow and proposal processes for regulated enterprises.

München, DE,BDFounded 2023407K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises face high resource consumption, regulatory risk, and instability when deploying AI agents on traditional infrastructure, making it difficult to meet EU AI Act requirements and to run deterministic, scalable AI workloads on‑premise.

Solution

Infinitibit offers an EU AI Act‑ready AI infrastructure built on a Rust core that enables deterministic, governed AI agents to run inside a customer’s own perimeter. The GraphBit engine provides high‑concurrency, crash‑resilient execution with shared memory, while consuming up to 68× less CPU and 140× less memory than typical solutions. The platform integrates with existing workflows through Python bindings and supports secure, on‑premise deployment, ensuring compliance, low operational cost, and reliable performance. Customers can orchestrate AI agents, automate proposal and workflow processes with InfinitiFlow, and monitor system health via built‑in reliability and security controls.

Target Audience

Primary customers are large enterprises and regulated industries—such as automotive, energy, and professional services—that need secure, compliant AI execution for operational workflows and real‑time agent orchestration.

Features

  • Rust‑based core delivering deterministic AI agent orchestration with minimal resource overhead
  • GraphBit engine supports high‑concurrency execution using shared memory for real‑time workloads
  • Up to 68× lower CPU usage and 140× lower memory consumption compared to conventional AI platforms
  • On‑premise deployment ensures compliance with EU AI Act, ISO 27001, and TISAX standards
  • Python‑accessible API for easy integration with existing data pipelines and applications
  • Crash‑resilient, secure infrastructure with built‑in governance and auditability
  • InfinitiFlow module automates RFP/RFQ proposal creation, pricing, approvals, and signatures
  • 99.99% system uptime with 5× faster deployment times and significant infrastructure cost reductions
This profile is AI-generated and may contain inaccuracies.