Behind Every Report Lies a Chaotic Process

Lab Operations Today
  • Manual reporting using outdated templates
  • Delays due to proofreading, rework, and non-standard processes
  • Harsh physical environments reduce focus and increase human error
  • Institutional knowledge is lost across teams
Complexity of Today's Labs
  • Multiple standards, fragmented systems
  • Lack of digital sync with Legacy hardware
  • High costs + low speed = unsustainable operations
Questions We Solve
  • How do we integrate with legacy instruments?
  • How do we ensure regulatory compliance across geographies?
  • How can we automate reporting while boosting accuracy?

Modular Tools Built for Real Labs

  • First-Person Testing
  • Third-Party Testing Support
  • Tech Engine Highlights
AI-generated real-time reports
Configurable dashboards for new energy, consumer tech, and sustainability-focused goods
Transparent client interfaces
Seamless onboarding and real-time sample status tracking
Instant digital certificates
Compatible with globally used frameworks
Multi-modal ML, edge computing, and predictive analytics
IoT-integrated data flows
PAL (Protocol Abstraction Layer) enables plug-and-play automation
Our solution accelerates the testing and assessment of power components (such as solar panels) to enable faster access for producers to EU and global markets.

How One of the World’s Largest Certifiers Reduced Report Time from 5 Days to 30 Minutes

Our Impact
  • 30+

    Key clean energy
    Component Categories

  • 3000+

    Components estimated
    tested under AI per year

Certification Time
  • 5-7

    Days

  • 30

    Minutes

Al-enabled IEC report automation, pulling structured data from source forms (CDF, confirmation docs, sensor feeds

Live edit + Al co-pilot interface, with input validation and instant version tracking

What You Get with Lab Zero

From Chaos to Clarity in 6 Steps

  • Step 1

    Assess & Plan – Analyze existing lab setup and compliance goals

  • Step 2

    Standardize & Integrate – Unify equipment control into API-based protocols

  • Step 3

    Data Management – Set up data pipelines for analytics and reports

  • Step 4

    Schedule & Optimize – Activate AI task manager for smart job routing

  • Step 5

    Deploy & Train – Web UI rollout with user permissions + training

  • Step 6

    Support & Scale – Live dashboards, archiving, audits, and ongoing tuning

From Stress to Streamlined

Legacy Labs
  • Manual data entry in Excel
  • Engineers schedule tests manually
  • Equipment handled manually
  • Delayed reports, human errors
  • Poor client updates
Lab Zero
  • Real-time processing & AI insight
  • AI auto-schedules and parallelizes
  • PLC-based automated control
  • Instant reports, zero error margin
  • Real-time client dashboard