Daqstra

Daqstra is an AI-native API platform designed to solve the fragmentation and manual overhead in physical research and development testing. In aerospace, energy, and robotics, test infrastructure is often pieced together from incompatible vendor hardware and software, forcing engineers to manually rebuild configurations between every test. This leaves valuable test data scattered and difficult to learn from before the next run. Daqstra addresses this by providing a unified operating layer that connects hardware, organizes data, and orchestrates test sequences.

The platform consists of three main components. Daqstra Edge interfaces directly with physical systems like NI, PLCs, Siemens, Modbus, OPC-UA, and custom TCP hardware, streaming live signals without vendor lock-in. Daqstra Hub ingests all test data into a cloud-based system, using AI to organize, search, and compare runs across campaigns, surfacing insights like drift detection automatically. Daqstra API allows engineers to orchestrate hardware sequences, redlines, and abort logic as code using Python and REST, keeping the entire test loop under version control.

Daqstra is built for engineering teams in aerospace, energy, and robotics who run complex, high-stakes test campaigns. The company offers a demo-based onboarding process where a founder reviews the customer's stack and maps the broken loop before defining a next step. Pricing and packaging details are not disclosed on the provided pages.