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PreScalar

PreScalar provides a software-native platform that unifies modular test hardware, firmware deployment, and device-level data capture for manufacturers of AI-enabled hardware. The system replaces fragmented factory tools with a single platform that works across production lines, labs, and field environments, enabling consistent testing and full traceability throughout the manufacturing lifecycle.

Traction 10/10
San Francisco, United States · HQ
Founded 20257300+ followers
  • Manufacturing / Industry 4.0
  • Industrial Automation
  • Hardware
  • Artificial Intelligence
Updated 11 days ago

Funding

Raised to date

$7MRaised 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.

across 1 round

UV

$7M · Seed

Announced Oct 2026

Disclosed cumulative: $7M

Founders

Founder details are not available yet.

Product

Problem

Manufacturers of AI-enabled devices often rely on disparate, manually operated test rigs and custom software, leading to inconsistent testing, lengthy firmware deployment cycles, and limited traceability of device-level data across factory, lab, and field environments.

Solution

PreScalar delivers a software-native platform that unifies hardware and software for automated testing, firmware provisioning, and data capture. Modular test stations provide interchangeable capabilities that can be deployed in production lines or field settings, while a centralized software layer defines, deploys, and updates test workflows without requiring line downtime. The system records device-level metrics throughout the manufacturing lifecycle, enabling full traceability and post-production analysis. By consolidating these functions into a single platform, PreScalar reduces engineering overhead, accelerates test and firmware rollout, and ensures consistent execution across engineering and manufacturing teams.

Target Audience

Primary customers are hardware manufacturers and engineering teams building AI-enabled devices who need consistent, automated testing and firmware deployment across production, lab, and field operations.

Features

  • Integrated modular test stations that can be configured for both high-volume production and field diagnostics
  • Software-defined test workflows allowing rapid creation, deployment, and versioning of test and provisioning scripts
  • Automated firmware provisioning across devices without needing software installed on the device under test
  • Centralized data capture with device-level traceability, supporting analysis and compliance throughout the product lifecycle
  • Unified interface for managing testing, provisioning, and data collection across factory, lab, and field environments
  • Scalable architecture that supports parallel testing of multiple device types on a single platform
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