Kore.ai
The leading enterprise-grade platform for Conversational AI and Agentic GenAI orchestration.
A Large Action Model designed to bridge the gap between human intent and software execution.
Adept ACT-1 (Action Transformer) represents a fundamental shift in AI capability, moving beyond textual generation into direct digital agency. Unlike standard LLMs that predict the next word, ACT-1 is trained on interactions with software, effectively treating the Graphical User Interface (GUI) as a sequence of observations and actions. In the 2026 market, ACT-1 serves as a high-level orchestration layer that allows users to execute complex, multi-step workflows across disparate software tools—such as Salesforce, Excel, and custom web apps—using only natural language. Technically, it functions by mapping pixels and DOM elements to semantic actions, enabling it to 'see' a screen like a human and 'click' or 'type' accordingly. Following the strategic licensing deal with Amazon in late 2024, the technology has evolved into a robust enterprise-grade solution, prioritizing security sandboxing and human-in-the-loop oversight. It is positioned as the primary alternative to traditional, brittle RPA, providing a flexible intelligence that can handle UI changes without breaking scripts.
Uses a vision-language transformer to map raw pixels to underlying software components without requiring a dedicated API for every button.
The leading enterprise-grade platform for Conversational AI and Agentic GenAI orchestration.
The Enterprise-Grade Platform for Scaling Autonomous AI Agents in Customer Service.
The enterprise-grade AI orchestrator transforming natural language into the world’s most powerful productivity tool.
The local-first autonomous AI coding environment for agentic software engineering.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A planning module that breaks down a complex goal into 10+ sub-tasks and executes them sequentially while maintaining state.
Maintains data context when switching between tabs (e.g., copying a lead from LinkedIn and formatting it correctly in Salesforce).
Uncertainty-based pausing that prompts users to confirm actions when UI confidence falls below a set threshold.
Identifies when a software interaction fails (e.g., a page doesn't load) and attempts alternative navigation paths.
Automatically masks PII (Personally Identifiable Information) before the UI screenshot is processed by the cloud model.
Learns frequent user workflows and converts them into repeatable 'one-click' natural language commands.
Sales reps spend 40% of their time manually updating CRM fields from email threads.
Registry Updated:2/7/2026
Opens Salesforce and searches for the specific record.
Locates the 'Status' dropdown and selects 'Discovery'.
Submits the update and logs the action for review.
Aggregating data from multiple banking portals and legacy ERP systems into a single spreadsheet.
Manual testing of complex UI paths is slow and prone to human error.