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INXM
INXM provides an AI automation platform that allows enterprise employees to create reliable AI agents by simply describing desired processes. The platform supports deterministic workflows with human oversight, ensuring predictable and controllable automation execution. Deployments offer data sovereignty through on-premise or private cloud options, keeping IT in control of sensitive information.
Updated 5 months ago
Funding
Raised to date
€5.7MRaised 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.
Est. $6.2Macross 1 round
LC€5.7M · Pre-Seed
Announced Jun 2026 · from article date
Disclosed cumulative: $6.2M
RoundDateAmountValuationInvestors
Founders
Product
Problem
Enterprises often struggle to automate repetitive or knowledge‑intensive tasks because existing AI solutions require extensive coding, lack deterministic behavior, and expose sensitive data to external cloud services, making reliable, compliant automation difficult to achieve at scale.
Solution
INXM delivers an AI‑native automation platform that lets business users create functional AI agents simply by describing the desired process in natural language. The platform translates these descriptions into deterministic workflows that run continuously and can be fine‑tuned, scheduled, or paused through an intuitive interface. Human‑in‑the‑loop controls require explicit approval for any critical action, ensuring predictability and auditability. Deployments can be installed on‑premises or in a private cloud, giving IT teams full sovereignty over data residency and security policies. Built‑in compliance features—such as role‑based access control, multi‑factor authentication, and end‑to‑end encryption—support regulatory requirements while maintaining enterprise‑grade reliability with 99.9 % uptime SLA.
Target Audience
The primary customers are enterprise IT departments and line‑of‑business managers who need to automate complex workflows without developer resources, while maintaining strict data governance and reliability requirements.
Features
- Natural‑language process authoring that auto‑generates AI agents without coding
- Human‑in‑the‑loop approval workflow for all high‑impact actions
- Deterministic execution engine with clear decision paths and self‑healing checkpoints
- Comprehensive audit log capturing agent decisions, human approvals, and timestamps
- On‑premise and private‑cloud deployment options with full data isolation
- Enterprise security stack: RBAC, MFA, TLS encryption in transit, and encrypted storage
- Compliance readiness for GDPR, HIPAA, SOC 2 and similar standards
- Redundant architecture, automated health monitoring, circuit‑breaker patterns, and 99.9 % uptime SLA