Exante Labs
Exante Labs builds applied AI agents that automate critical enterprise workflows. The company offers Exante, an AI teammate for finance teams that works overdue invoices end to end, and Plant Copilot, which lets plant operators query operations data conversationally. Its engagement model maps a client's value chain, identifies the highest-leverage bottleneck, and deploys production-grade agents with monitoring and human-in-the-loop controls.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Financial Technology
- Industrial Automation
- Software Only
Funding
Founders
Product
Problem
Enterprise workflows are often slowed by repetitive, high-volume processes that consume significant time and money, such as chasing overdue invoices or diagnosing plant equipment issues. These bottlenecks force skilled staff to spend hours on manual tasks, delay responses to customers and operators, and increase operational risk.
Solution
Exante Labs builds agent-based AI solutions that identify and eliminate these bottlenecks. The company maps a client's value chain, pinpoints the process draining the most resources, and develops a custom AI agent to automate it. Deployed agents operate in production with monitoring, guardrails, and human-in-the-loop approval for sensitive actions)Skip. Exante Labs' flagship products include Exante, which autonomously prioritizes aging reports, sends personalized outreach, and answers customer replies on overdue invoices, and Plant Copilot, which provides grounded, chart-backed answers to plant operators' questions and identifies the first variable that changed when a line misbehaves.
Target Audience
Enterprise finance teams needing to automate accounts receivable collections and plant operations teams seeking quick, reliable answers about production line performance.
Features
- Exante for finance teams automates the full overdue-invoice cycle: prioritization, personalized outreach, and reply handling, with one-click approval for sensitive actions
- Plant Copilot supports typed or voice queries and returns grounded answers with charts, plus root-cause analysis that matches current incidents against past procedures
- Custom agent development based on a systematic discovery phase that maps the value chain and targets the highest-leverage bottleneck
- Production-grade deployment includes monitoring, guardrails, and human-in-the-loop workflows to ensure safe and reliable operation
- Agents are tailored to enterprise and consumer businesses across industries, moving from bottleneck identification to a running system in a structured three-step engagement