Daqstra GTM brain

Daqstra provides hardware connectivity, test-data management and orchestration software to physical R&D teams.

category

Hardware test infrastructure orchestration

market profile

  • text: Hardware test teams use disparate instruments and control software, creating integration and data discovery work between test campaigns.
  • text: The company targets aerospace, energy and robotics and describes live static-fire testing with SEDS UCSD and Dispatch.
  • text: Incumbent NI and dSPACE offer overlapping hardware test automation, so prospective buyers may have existing investments to integrate.

personas

  • title: Propulsion test engineering lead
    pains:
    • Rebuilding channels and calibration configurations between test fires slows the next campaign.
    • Finding the cause of an anomaly requires piecing together data scattered across storage.
  • title: Test infrastructure engineer
    pains:
    • Maintaining custom glue between PLCs, DAQ instruments and test software consumes scarce engineering time.
    • Needs to preserve configurations while connecting mixed-vendor instruments.
  • title: Robotics validation lead
    pains:
    • HIL benches, fleet logs and field trials generate disconnected data.
    • Needs to turn test results into the next hardware iteration quickly.

icp

  • text: Aerospace developers running propulsion static fires, qualification campaigns or ground systems with multiple hardware interfaces; team size is unconfirmed.
  • text: Energy and robotics R&D organizations operating recurring test or monitoring programs with PLCs, custom rigs, telemetry or HIL benches.

message pillars

  • text: Unify hardware, test data and execution in one operating layer.
  • text: Replace repeated configuration work between tests.
  • text: Find insights across previous campaigns.

objections

  • objection: Will it support our mixed instruments and custom interfaces?
    response: Validate listed NI, PLC and protocol support against a representative stand in a scoped pilot.
  • objection: Can we trust AI around a safety-critical test?
    response: The site says engineers remain in control; verify permissions, interlocks and failure behavior before deployment.

competitors

  • name: NI
    why: TestStand and NI test software overlap with hardware test sequencing and automation, while NI hardware can also be integrated.
  • name: dSPACE
    why: AutomationDesk provides test automation for hardware-in-the-loop environments.
  • name: Keysight
    why: PathWave Test Automation and OpenTAP provide alternative hardware test automation workflows.

influencers

  • name: Darell Chua
    url: https://www.ycombinator.com/founders/darell-chua
    why: Daqstra CEO with hardware and aerospace engineering experience.

keywords

  • hardware test orchestration
  • test stand automation software
  • DAQ test data management
  • propulsion test software
  • PLC test automation
  • hardware in the loop test management

voice

  • Engineer-led and technical
  • Direct about test infrastructure pain
  • Practical and outcome-focused

signals

  • text: A company is expanding propulsion or qualification testing and rebuilding configurations for each run.
  • text: A robotics or energy team operates mixed-vendor hardware with logs scattered across systems.

stack

  • NI
  • Siemens PLC
  • Modbus
  • OPC-UA
  • TCP

pricing

model: unknown

motion

sales_led

channels

  • Website
  • Demo requests
  • LinkedIn

confidence

medium

Founders

  • name: Darell Chua
    title: Founder/CEO
    role: CEO
    bio: Founder at Daqstra (YC S26). Previously Systems Performance Architecture at Rivian, Member of Technical Staff at DSO National Labs Singapore. MS in Computer Engineering from UC San Diego. Developed end-to-end high performance hardware and software systems for aerospace and drone applications.
  • name: Anchit Kumar
    title: Founder/CTO
    role: CTO
    bio: I’m a co-founder of Daqstra (YC S26), building AI-native orchestration for test infrastructure in physical R&D. I studied computer science at UCSD, where I led AI and autonomy for Mars cave exploration drones and worked on multimodal AI safety for vision-language-action robots. My co-founder and I met building rocket engines, and I’ve since worked across 10+ test campaigns in the Mojave Desert.

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