Tekst
Tekst develops an enterprise AI platform for process intelligence and workflow automation that maps how work actually flows across organizations and deploys AI agents to execute operational workflows with accuracy and control. The platform connects to inboxes, ERP, CRM, and document systems to capture operational interactions in real-time, then builds a context graph mapping decisions, dependencies, and end-to-end…
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About
Tekst develops an enterprise AI platform for process intelligence and workflow automation that maps how work actually flows across organizations and deploys AI agents to execute operational workflows with accuracy and control. The platform connects to inboxes, ERP, CRM, and document systems to capture operational interactions in real-time, then builds a context graph mapping decisions, dependencies, and end-to-end workflow logic across systems. Tekst's custom-trained AI model interprets every incoming email, ticket, and chat, understanding context and intent to automate complex operational work. The platform serves use cases across quote-to-cash including order intake, Outlook-to-SAP automation, and Salesforce case creation; procure-to-pay including accounts payable and intelligent document processing; order operations including dispute handling, order enrichment, and exception prioritization; and shared inbox management with AI-driven email labeling and routing. Tekst serves industries including shipping and logistics, medtech and pharma, printing and packaging, retail and FMCG, HR and payroll, and manufacturing. The platform deploys in days without workflow disruptions, connecting to existing tools and systems with no change management required. Customers include Milcobel, which transitioned from personal mailboxes to a shared inbox handling 250,000 emails annually with 200% faster first response time; Securex, which achieved 90% email routing accuracy across 3.2 million emails with 85% auto-classification; and Becton Dickinson. Tekst processes information in real-time with enterprise-level security and compliance, retaining full data ownership for clients. The platform continuously learns from every interaction to expand automation and optimize processes.
Business model
Enterprise Collaboration > Communication > Unified Email,
Customer Service Software > Contact Center > Conversational Analytics,
Chatbots > Industry Agnostic > Customer Support
Institutional investors
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