
TextCortex
Enterprise AI agent platform with visual builder and data‑sovereign controls
What is TextCortex?
TextCortex helps enterprises organize, deploy, and govern AI agents from a centralized platform that emphasizes security and scalability. The product centers on an agent infrastructure that teams can use to align AI with existing workflows and governance needs.
The platform provides a visual, no-code agent builder that aims to make it possible to create and deploy intelligent agents without engineering effort. Agents can be configured to use company data and called directly from collaboration tools to act like a colleague in workflows.
TextCortex includes scheduling and automation features so agents can run recurring tasks and deliver results to users on a cadence. The system is positioned to work even when individual users are offline and to surface results through inbox or integrations.
Privacy and compliance are addressed as part of the offering, with explicit controls for European data sovereignty and certifications referenced for enterprise use. Model choice and knowledge connections are available so teams can select models and connect internal documents and tools to provide contextual actions.
TextCortex Features
Visual agent builder (no-code)
A visual builder enables creation and deployment of agents without writing code, aimed at letting non‑engineers configure agent behavior. The interface is designed to let teams visually set up agent logic and push agents live in minutes.
Integrations and in-context interactions
Agents can be invoked directly inside collaboration tools so they participate in existing team workflows rather than forcing a separate interface. A browser extension and app integrations aim to keep agent interactions embedded where people already work.
Scheduled automations
Agents can be scheduled to run recurring tasks and produce regular outputs without manual prompting. This supports use cases where teams need automated reports, recurring actions, or asynchronous workflows.
Model hub and model choice
The platform provides access to multiple models so teams can avoid being locked into a single provider and can select models that fit their privacy and performance needs. Secure access and model selection are part of the infrastructure to support enterprise requirements.
Connected knowledge and search
Agents can use internal and external knowledge sources to research and act on company data, enabling context‑aware outputs. Document and tool connections allow agents to pull relevant information when making recommendations or taking actions.
Data sovereignty and compliance
The platform highlights controls intended for European data sovereignty and references industry compliance standards to meet enterprise security expectations. Policies around data use and training are called out to reduce risk when deploying agents at scale.
Pricing
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