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# Inora Technologies Inc. Site

Organic Intelligence Core Technology

## Sitemaps

- [XML Sitemap](https://inora.com/sitemap.xml): Contains all public & indexable URLs for this website.

## Pages

- [Home Page](https://inora.com/) - We Are Organic Intelligence* The First and Only Universal, Numerically Balanced Platform Organic Intelligence (OI) Core Technology. Inora licenses OI software technology that allows you to determine the absolute structure and ideal condition in everything. In solutions that require estimations and assumptions, an absolute structure cannot be determined. The problem with these fuzzy logic solutions
- [Request Cylinder Data](https://inora.com/request-cylinder-data/) - REQUEST THE CYLINDER DATASET
- [Request OICT Evaluation](https://inora.com/contact-custom-data-submission/) - submit your data for inora oict evaluation Privacy Policy
- [Contact](https://inora.com/contact/) - contact information Phone + 1 734 302 7488 Email info@inora.com Address 525 Avis Drive, Suite 11, Ann Arbor MI 48108 USA Privacy Policy
- [Contact Flatness Module](https://inora.com/flatness-module-contact/) - Get License Key Privacy Policy
- [Spatial Reference System (SRS)](https://inora.com/spatial-reference-system-srs/) - The Challenge Traditionally, there was no holistic way to check 3D equipment, whether CNC machines or metrology equipment such as a CMM. Everything was done using hardware centric methods that are heavily dependent on operator knowledge/skill and also rely on estimations, assumptions, alignments (physical and/or mathematical) and approximations. This ultimately produces uncertain results to understand a
- [OI Core Technology](https://inora.com/oi-core-technology/) - What is OI Core Technology? OI (Organic Intelligence) Core Technology is a capsulated numerical software platform that allows us to determine and see the structure and ideal condition in anything, with certainty. OI Core Technology has no competition. OI Core Technology solves many of the problems which limit our understanding of the world and the
- [Affinity Systems (ASYS)](https://inora.com/affinity-systems-asys/) - The Challenge Pre-existing inline measurement systems utilize uncertain methods of data analysis that include best fitting, machine learning and AI. Unfortunately, while these descriptive marketing terms sound promising, the results that they deliver are numerically uncertain. One reason that the previously mentioned analysis methods are uncertain is that they all rely on estimations, assumptions, alignments
- [OmniSlam](https://inora.com/omnislam/) - The Challenge Pre-existing door closing speed measuring devices are very subjective to operator skill and setup and ultimately provide single snapshot uncertain values. An OEM asked Inora to develop a solution that minimized operator influence and would provide numerically certain values that could be relied upon to adjust door setup conditions and monitor door closing
- [Omnigap](https://inora.com/omnigap/) - The Challenge Counterintuitively, the OmniGap was developed after the WiseGap system from Inora. Prospective customers who didn't need the full, comprehensive, multi-sensor capabilities that the WiseGap offers requested a single sensor solution for quick spot-check measurements with minimal setup time. Of course, just like WiseGap, the solution needed to be provide advantages over clumsy manual methods
- [WiseGap](https://inora.com/wisegap/) - The Challenge Automotive door quality, especially in the areas of wind noise and water leakage is a perennial JD Power customer complaint. With the advent of infotainment systems and hands free-calling, it is of utmost importance to design and produce cars that exceed expectations in these categories. The quietness of electric vehicles necessitates elimination of
- [OI Decision Making Library](https://inora.com/oi-decision-making-library/) - The Challenge The foundation of current autonomous technologies is primarily derived from machine learning and fitting algorithms. Other underlying components are assumptions, estimations, alignments and approximations, which create fuzziness and ultimately, uncertain solutions. For autonomous solutions in particular, these methods do not provide a sustainable base to cope with real world conditions and challenges. The
- [Products](https://inora.com/products/) - Manufacturing Product Portfolio Products Powered By OI Core Technology read more Affinity System (ASYS) Take Control Of Your Inline/Offline Measurement With Certainty read more Spatial Reference System (SRS) Take Control Of Your 3D Metrology And CNC Machining Equipment With Certainty read more WiseGap Wirelessly Measure Multiple Gaps With Certainty read more OmniGap Measure Single Gaps
- [Company](https://inora.com/company/) - Creating A Path To Certainty In Data Analytics We Are Numerical Certainty Inora's vision is to help create a world that is optimally efficient and numerically certain in all digital processes by eliminating the inefficiencies and casualties of numerical uncertainty. Inora works toward this vision by providing numerically certain OI Core Technology products and services
- [Custom Solutions](https://inora.com/custom-solutions/) - Use The Power Of Numerical Certainty In Your Processes The scientific discovery that by using OI Core Technology you can find the unique center point, and ideal condition (optimal efficiency) within any digital data set is universally applicable. The center point also provides a polar geometry within any data, even non-geometric data sets. This gives
- [OI Powered Martial Arts](https://inora.com/oi-powered-martial-arts-2/) - The Challenge Martial arts involve traditions and techniques that have been passed from teacher to student for many generations. Depending on the discipline of martial art, movements may be derived from triangulation, linear, or circular movements. After learning about the geometrical aspects of OI Core Technology, a martial arts master became interested in applying the
- [Planetary Analysis](https://inora.com/planetary-analysis/) - The Challenge Going back to the beginning of time, mankind has tried to understand planet earth and outer space. As technology has progressed, an increasing amount of observation and quantification is available for the depths of space. However, the analytical/calculation abilities have unfortunately stalled out. Varying theories have progressed over time as to the true
- [Medical Data Evaluation](https://inora.com/medical-data-evaluation/) - The Challenge Many ways of diagnosing illness, medical conditions and status necessitate multiple visits to a doctor's office with multiple tests that have multiple day turnaround times. Even the analytical devices that exist are often unreliable (uncertain) and require a follow-up test to confirm the results. Using only minimal hardware that provides electrical signals for
- [OI Geometric Library](https://inora.com/oi-geometric-library/) - The Challenge Historically, evaluating measurement data of geometrical features in manufacturing required physical and/or mathematical alignments. These alignments directly affect the results. To further complicate matters, the data collected by measurement systems (e.g., scanners, CMM) can contain noise and anomalies. Lastly, real manufactured parts do not realistically represent a perfect mathematical geometry and contain variation
- [Radar Processing](https://inora.com/radar-processing/) - The Challenge Processing n-dimensional radar data to find the unexpected within the expected has traditionally been a difficult and fuzzy process. Anomaly detection software requires the use of assumed models and numerical estimations which makes all results uncertain. Uncertain results can range from potentially close to the truth to extremely far off, with no reliable
- [OI Core Technology Applications](https://inora.com/oi-core-technology-applications/) - Selected Deployments Within Industry Applications Powered By OI Core Technology read more Manufacturing Products Inora's Product Lines Deployed In The Manufacturing Industry read more OI Geometric Library License Functional Geometric Modules Powered By OI read more Radar Processing Solving The Challenge Of Understanding 7-D Data read more Medical Data Evaluation Solving The Challenge Of Reliably
- [Numerical Balancing](https://inora.com/numerical-balancing/) - What Is Numerical Balancing? Descriptively, Numerical Balancing is the process of taking any numerical input data in matrix form, calculating it’s corresponding inverse matrix and assuring through the combinatorial procedure that the resulting entity matrix has been determined with absolute Numerical Certainty. The scientific discovery that all resulting balance points, which are the fulcrum points
- [Numerical Certainty](https://inora.com/numerical-certainty/) - Numerical Certainty Vs. Uncertainty In Sidelights on Relativity (1920), Albert Einstein stated: “As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.” The second assertion of the quote is valid. Things defined perfectly by mathematics (e.g. a cylinder)
- [Numerical Validation](https://inora.com/numerical-validation/) - What Is Validation? Validation is a must for any science (Strict Primal-Dual Approach). Currently, the process to validate complex data analysis is restricted to testing uncertain results against uncertain database information, which is an imprecise method. True validation is using a alternate method (Dual) to prove the calculation results (Primal). The multiplication function (e.g. 2x3=5)
- [Careers](https://inora.com/careers/) - Application Privacy Policy
- [Privacy Policy](https://inora.com/privacy-policy/) - Effective Date Effective date: October 11, 2018 Who We Are Inora (“us”, “we”, or “our”) operates the https://www.inora.com website (the “Service”). This page informs you of our policies regarding the collection, use, and disclosure of personal data when you use our Service and the choices you have associated with that data. Our Privacy Policy for