Poka Labs deploys AI agents to automate the commercial workflow for industrial B2B operations. The platform ingests messy, unstructured data from existing systems to instantly generate accurate pricing and quotes. This allows sales teams to operate efficiently, ensuring defensible pricing and margin protection.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Chemical manufacturers face complex production scheduling challenges due to product variability, equipment downtime, and fluctuating inventory levels. Unexpected events like material shortages and unplanned maintenance further disrupt schedules, leading to inefficiencies and lost production time.
Solution
Poka Labs offers an AI-powered production scheduling platform designed specifically for the chemical manufacturing industry. The platform automatically generates optimized schedules by considering product-specific cycle times, equipment availability, and inventory levels. It dynamically adjusts schedules in real-time to accommodate unexpected changes, such as inventory shortages or equipment downtime, ensuring continuous production and minimizing disruptions. By leveraging AI, Poka Labs enables chemical plants to proactively manage variability and maintain efficient operations.
Target Audience
Poka Labs targets chemical manufacturing plants seeking to optimize their production schedules, reduce downtime, and improve overall operational efficiency.
Features
- AI-driven scheduling engine that considers product variability, equipment availability, and inventory levels.
- Cycle time analysis based on historical batch data, broken down by equipment and operator.
- Real-time schedule tracking with notifications for deviations and potential delays.
- Dynamic schedule updates to accommodate inventory shortages, unplanned maintenance, and last-minute orders.
- Integration with existing plant systems for seamless data exchange.