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thirdmind

thirdmind.ai helps companies turn scattered AI tools into a unified, company-owned AI infrastructure. The company builds "digital employees" that automate repetitive operational tasks in finance, support, and back-office processes, with a focus on EU hosting, human oversight, and model-agnostic architecture. Clients receive full source code ownership and fixed-price project delivery.

Traction –/10
Vienna, Austria · HQ
9300+ followers
  • Artificial Intelligence
  • AI Agents
  • Enterprise Software
  • Software Only
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many companies have adopted general-purpose AI tools like ChatGPT, Copilot, or Claude, but these tools primarily assist with thinking, writing, and research tasks. The operational work—processing tickets, checking invoices, reconciling data, maintaining knowledge—still remains stuck in email inboxes, ticket systems, folders, spreadsheets, CRM, and ERP platforms, meaning AI rarely delivers real relief in day-to-day business operations.

Solution

thirdmind.ai builds "digital employees"—AI systems with a clear mandate, access to a company's existing systems, and defined permissions that take over repetitive operational tasks. The company guides organizations through a structured journey: first creating a shared understanding of AI's practical potential, then identifying the right use case through a structured assessment, and finally implementing a pilot system within 3-6 weeks. Each digital employee is connected to one or two business systems, operates through a fixed channel, and follows strict boundaries where every critical decision requires human approval. The approach emphasizes architectural independence: clients own their knowledge base, workflows, system integrations, and rules, while AI models remain a swappable component. The company emphasizes EU hosting, role-based access, audit logs, and a human-in-the-loop model to ensure traceability and accountability. Projects are delivered at fixed prices, and clients receive the developed source code and documentation at handover.

Target Audience

Primary customers are mid-sized to enterprise companies in German-speaking markets, particularly teams in finance, accounting, support, sales, and operations that want to automate repetitive processes. The service also targets leadership teams, innovation managers, and industry associations seeking orientation on practical AI adoption.

Features

  • Digital employee implementation connecting AI to existing business systems like CRM, ERP, ticket systems, and document repositories
  • Structured KI Kompass assessment tool for evaluating use cases, processes, data, risks, and feasibility before implementation
  • Role-based access control per role, system, and data type to enforce security boundaries
  • Comprehensive audit logging that records every AI action for full traceability and export
  • Human-in-the-loop workflow design where critical decisions and approvals remain with human employees
  • EU-based hosting for backend and AI models with a guarantee that customer data is not used to train third-party models
  • Iterative scaling approach that expands system connections, data sources, and permissions after initial pilot success
  • Model-agnostic architecture that allows swapping AI providers (e.g., OpenAI, Anthropic, or local models) without rebuilding applications
  • Fixed-price delivery with source code handover, enabling clients to operate the solution themselves or change service providers
  • Production-Readiness Audit service for AI-generated code (Vibe Code to Production) at a fixed price of €997, with security hardening starting at €10,000
This profile is AI-generated and may contain inaccuracies.