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ease
features
design
support

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Description

Axiospec, developed by CaliTech LLC, is a comprehensive cloud-based calibration management system designed for teams overseeing calibration initiatives, ensuring that their records are clean, traceable, and ready for audits. This powerful software allows users to monitor all gauges and instruments from a centralized location, enabling the logging of both as-found and as-left readings, with automatic assessments against established tolerances, followed by the issuance of PDF certificates. Additionally, a dual e-signature feature for makers and checkers enhances accountability for each record, while all entries are securely stored in a tamper-evident, hash-chained audit ledger. In the event of measurement drift, users can swiftly reverse-trace with a single click to review all previous measurements, facilitating quick impact assessments. Moreover, the platform keeps users informed with a Due Calendar that highlights upcoming, soon-to-be-due, and overdue tasks, as well as a dynamic Audit-Readiness Scorecard rated from 0 to 100. The software also provides in-depth Metrology Insights for each instrument, displaying reliability-based intervals, test uncertainty ratios, conformance metrics, and false-accept risks. For those requiring advanced metrology analyses, Axiospec includes features such as AIAG Gage R&R, uncertainty budgets, and a tool crib checkout system, supporting teams in maintaining high standards of calibration management.

Description

Measurements are always subject to deviations from their true values, a phenomenon known as measurement uncertainty, especially when assessing or calibrating measurement tools or methodologies. To ensure quality control, it is essential to accurately quantify this uncertainty. GUMsim®, which adheres to the latest Guide to the Expression of Uncertainty in Measurement (GUM) and its supplement 1, utilizes sophisticated computational algorithms that facilitate a more effective determination of measurement uncertainty in line with ISO/IEC 17025 standards. The process of determining measurement uncertainty involves a mathematical relationship and statistical analysis of all variables influencing the measurement outcomes. To streamline this process, GUMsim provides a user-friendly input environment designed for various measurement models. Additionally, it offers a range of pre-defined application models that function as templates tailored to assist you in conducting specific evaluations, making it easier to embark on your measurement uncertainty assessments. This feature not only enhances the user experience but also encourages consistency in measurement practices across different applications.

API Access

Has API

API Access

Has API

Screenshots View All

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Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

$59/month
Free Trial
Free Version

Pricing Details

€870 one-time payment
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CaliTech LLC

Founded

2026

Country

United States

Website

axiospec.com

Vendor Details

Company Name

QuoData

Country

Germany

Website

www.quodata.de/gumsim

Product Features

Calibration Management

Calibration Instructions
Calibration Schedules
Compliance Management
Device History
Due Date Tracking
Gage Management
Label Printing
Measurement Readings
Multi-Station Management
Out-of-Tolerance Notification
Statistical Data Reporting

Product Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Alternatives

No Alternatives

Alternatives

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