Tekst Raises €11.5 M Series A to Automate Enterprise Workflows
Tekst secures €11.5 million to turn hidden business processes into structured data, boosting AI automation for enterprises.
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TL;DR
Tekst closed a €11.5 million Series A round led by Elephant to convert hidden workflow data into process‑level intelligence for enterprise AI.
Tekst, a Ghent‑based startup founded in 2022, targets a persistent blind spot in corporate AI deployments: the lack of documented, contextual process data. Companies often store procedural knowledge in emails, PDFs, and employees’ heads, leaving AI agents to act on isolated tasks without understanding the full workflow.
The Series A round, led by US venture firm Elephant, provides the capital needed for product development and international expansion. Tekst plans to double its 35‑person team by year‑end, prioritising engineering talent and go‑to‑market roles to accelerate adoption.
Tekst’s platform, dubbed Agentic Process Automation, scans the digital trail left by workers—message logs, file exchanges, system calls—to reconstruct end‑to‑end processes such as quoting, ordering, claims handling, and customer service. By mapping triggers, approvals, and hand‑offs across systems like SAP, Salesforce, and Microsoft tools, the solution creates structured process data that AI agents can consume.
Customers including Daikin Europe, Colruyt Group, Securex and Becton Dickinson already use the technology to reduce manual data entry, streamline approvals, and eliminate email‑based bottlenecks. The company argues that without this process intelligence, AI agents remain costly assistants or chatbots rather than strategic operators.
Industry analysts note that the gap between AI investment and operational return often stems from missing context. Tekst’s approach promises to close that gap by delivering a unified view of how work moves through an organization, enabling AI to act with the same awareness as a human employee.
The funding will also fund expansion into new markets, where enterprises face similar challenges of undocumented workflows. As more firms adopt AI, the demand for reliable process intelligence is likely to rise.
What to watch: Tekst’s rollout of its next‑generation automation suite and the impact of its expanded engineering team on product capabilities throughout 2024.
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