Pull Systems provides an AI platform that analyzes telematics, diagnostic, and production data to identify product improvements and accelerate failure analysis. The platform unifies machine data with human expertise to reduce warranty reserves and operating expenses. It enables quality, aftersales, R&D, and production teams to compress iteration cycles and prevent costly fleet-wide repairs.
Funding
$5M 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
R&D and quality teams in the mobility sector struggle with fragmented operational data, often spread across disparate systems and exceeding hundreds of terabytes. This makes root cause analysis slow and cumbersome, hindering the ability to identify and resolve issues quickly, and ultimately impacting profitability. Existing manufacturing software often lacks the AI capabilities needed to efficiently process and analyze these massive datasets.
Solution
Pull Systems offers Workbench, an AI-powered platform designed to harmonize up to 500TB of operational data, providing enhanced root cause analysis and streamlined workflows. By consolidating field, fault, repair, production, and warranty data into a single platform, Workbench enables faster identification of anomalies and patterns. This allows teams to proactively address potential failures, shorten feedback cycles, and improve the overall quality and profitability of their products. The platform's AI capabilities facilitate confident product launches and informed decision-making across maintenance, warranty forecasting, and fleet prognostics.
Target Audience
The primary target audience includes R&D and quality teams within OEMs and fleet partners in the automotive, aviation, aerospace, agriculture, charging infrastructure, marine, micromobility, and industrial sectors.
Features
- Harmonizes up to 500TB of field, fault, repair, and production data in a single platform.
- Employs AI-powered workflows for faster root cause analysis and anomaly detection.
- Enables the building of custom rules and integration of internal ML models.
- Provides prepackaged Workbench models for immediate insights.
- Offers a data studio for enhanced speed, precision, and versatility with hardware data.
- Facilitates shared understanding across teams with a single workspace for studying vehicles and fleets.
- Integrates seamlessly with major cloud providers (AWS, Azure, Google Cloud Platform).