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Privacy Policy
At Mimica, we are committed to protecting your privacy and ensuring the security of your personal data
This Privacy Policy outlines how we collect, use, disclose, and protect your information when you interact with our website and use our products and services.
Last Update: 02/28/2024.
Information We Collect
- Personal Data: When you interact with our website or use our products, we may collect personal data such as your name, email address, company name, job title, and contact information.
- Usage Data: We may collect usage data such as your IP address, browser type, operating system, device information, and interactions with our website and products.
- Process Data: Our products, Mapper, and Miner, may collect process data related to your work activities, including task categorization, time spent on tasks, process variations, and automation potential.
How We Use Your Information
We use the information we collect for the following purposes:
- To provide and improve our products and services.
- To analyze usage patterns and trends to enhance user experience.
- To communicate with you about our products, services, and updates.
- To personalize your experience and tailor our offerings to your needs.
- To comply with legal obligations and protect our rights and interests.
Data Processing
Mimica observes and analyzes your work activities to identify processes for automation and generate procedure design documents (PDDs). The data collected is used solely for this purpose and is not shared with third parties.
Regarding our Products:
Mapper: Mapper automatically generates blueprints for bots based on process data collected from your work activities. The aggregated process map is generated using production data and is securely stored to facilitate automation development.
Miner: Miner categorizes your tasks and assesses their automatability to focus process automation efforts. The data collected is used to provide insights and recommendations to optimize workflow efficiency.
Mimica employs a sophisticated process to detect and anonymize Personally Identifiable Information (PII) to ensure the protection of customer data. Some examples of the types of PII data we recognize are:
- Name, such as full name, maiden name, mother's maiden name, or alias
- Personal identification number, such as social security number (SSN), passport number, driver's license number, taxpayer identification number, patient identification number, and financial account or credit card number
- Address information, such as street address or email address
- Asset information, such as Internet Protocol (IP) or Media Access Control (MAC) address or other host-specific persistent static identifier that consistently links to a particular person or small, well-defined group of people
- Telephone numbers, including mobile, business, and personal numbers
- Information identifying personally owned property, such as vehicle registration number or title number and related information
- Information about an individual that is linked or linkable to one of the above (e.g., date of birth, place of birth, race, religion, weight, activities, geographical indicators, employment information, medical information, education information, financial information).
The steps we undertake to ensure that PII and CI are anonymized are as follows:
- We apply Natural Language Processing (NLP) to all recorded text using deep learning and complementary hand-written rules. One of the NLP tasks performed is Named-entity recognition, identifying real-world objects such as persons, locations, or organizations. Another task is the identification of words/terms that are not in the dictionary.
- It then determines whether a word/term contains PII if it has a named entity type (e.g., person) or it is not in the dictionary. The latter captures passwords, customer, or transaction IDs.
- For any word/term containing PII, Mimica translates its text to a "digest" via a one-way hashing function making it computationally infeasible to invert.
- The digest is stored instead of the original text.
- For screenshots, OCR is used to identify the text, PII, and CI is automatically identified by following the steps outlined above, and the relevant sections of the screenshots are blurred. This blur is also performed via a one-way function which is computationally infeasible to invert.
Data Security
We employ industry-standard security measures to protect your personal and process data from unauthorized access, disclosure, alteration, or destruction. This includes encryption, access controls, and regular security audits.
As well as this, Mimica is regulated by the EU's General Data Protection Regulation (GDPR). Protecting the confidentiality and integrity of Confidential Data is a critical responsibility Mimica always takes seriously. The Company is exposed to potential fines of up to EUR20 million (approximately £18 million) or 4% of total worldwide annual turnover, whichever is higher and depending on the breach, for failure to comply with the provisions of the GDPR.
Data Sharing
We do not sell, rent, or lease your personal or process data to third parties. However, we may share your information with trusted service providers who assist us in delivering our products and services, subject to confidentiality obligations.
Your Rights
You have the right to access, rectify, or delete your personal data held by us. You may also request to restrict or object to the processing of your data. To exercise these rights, please contact us using the information provided below.
Changes to this Policy
We reserve the right to update or revise this Privacy Policy at any time. Any changes will be posted on this page, with the effective date indicated at the top. Your continued use of our website and products constitutes acceptance of the updated Privacy Policy.
Contact Us
If you have any questions, concerns, or requests regarding this Privacy Policy or our data practices, please contact us at info@mimica.ai.
