Ember AI
Ember AI provides an agentic operations platform that encodes organizational knowledge into software, enabling AI agents to execute routine workflows while humans focus on judgment and strategy. The platform integrates with enterprise tools like repositories, support tickets, and meeting systems, with full observability into every agent action. Ember targets mid-to-large enterprises in freight forwarding, DTC retail, and consulting.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Organizations have historically been built around the constraint that humans are the only available unit of intelligent execution, which limits scalability and creates bottlenecks in routine operational workflows. As a result, enterprises struggle with slow processes, inconsistent execution, and knowledge siloed in individual employees rather than encoded for repeatable use.
Solution
Ember helps enterprises shift from human-coordinated workflows to natively agentic operations, where AI agents become the default executor of routine tasks and humans focus on judgment, oversight, and strategy. The company works through a structured engagement process—starting with a discovery call, followed by a deep dive with the people who perform the work—to encode workflows and deploy agent v1.0 into production. Ember's platform captures organizational knowledge and encodes it as software, enabling non-linear scaling of operations while maintaining full observability into every agent action. The platform integrates with existing enterprise tools and data sources, allowing agents to execute tasks across meetings, projects, and communications with human oversight.
Target Audience
Primary customers are mid-to-large enterprises across freight forwarding, DTC retail, and consulting industries that need to automate complex operational workflows and scale their operations beyond human capacity.
Features
- Agentic workflow engine that encodes organizational knowledge and processes into executable software agents
- Full observability layer providing visibility into every agent action and decision
- Structured deployment methodology from first conversation to production agents
- Integration with enterprise data sources including repositories, support tickets, and meeting systems
- AI-powered analytics for performance tracking, customer sentiment analysis, and meeting preparation
- Chats, activity feeds, and task management interfaces for human-agent collaboration
- Enterprise-grade security with SSO support, encryption in transit (TLS 1.2+) and at rest (AES-256), and data residency controls
- Pass-through LLM processing with opt-out options for data aggregation on Business and Enterprise plans