Protect, Personalize, and Isolate Your Organization's Future
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Advantage without Compromise
Secure and Private AI Solutions
Know your risk, empower your team, protect your data and surpass the competition. At Practical AI, we build isolated AI solutions for your organization's unique operational and regulatory needs.
Privacy Maintained
Security First – Safeguarding Your Confidential Data
Public low-cost/no-cost AI resources are massive data-collection engines. Our AI solutions are built to do only what you want them to do. Everything they learn or analyze continues to be as secure and private as it was originally intended.
Don't have time? We don't require huge time-investments
Total Solution
We provide all hardware, software, consulting and support during the duration of the agreement, so you don’t have to have any technical skills or AI experience to get the results you’re looking for.
Customized for you and it will only get better
Industry Specific
Recognizing that no two organizations are the same, our AI systems are meticulously crafted to adapt to your specific needs, from predictive analytics to document management, we can help build whatever you can imagine.
Empower Your Firm with Practical AI
Be the Best
Spend less Time Doing More
Spend less Time Doing More
The most significant productivity enhancer of the century is now available to make you the best you can be. Don't let less-experienced competitors pass you by
Spend less Time Doing More
Spend less Time Doing More
Spend less Time Doing More
What used to take hours, or even days, can now be accomplished in seconds leaving you time to work on strategic initiatives or to spend more time doing what you love
Know the Rules
Spend less Time Doing More
Grow your Practice
Reference any information quickly and with great detail, and do it in a way that maintains your obligations to protect sensitive data
Grow your Practice
Grow your Practice
Grow your Practice
With quality enhancement, time-savings, information availability and regulatory confidence, growth in your firm is inevitable
Self Sufficiency
Grow your Practice
Self Sufficiency
Exclusive AI Environments: To guarantee that your AI solutions are untainted and free from external interference, we create isolated environments tailor-made for your firm's operations.
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Grow your Practice
Self Sufficiency
Who, What, How, When? And is this the end of humanity?
Please reach us at if you cannot find an answer to your question.
Anyone that wants to see the benefits of AI but cannot afford to jeopardize the privacy of their data. Additionally, task-focused AI can offer a major advantage of over general use models, in both performance and accuracy, with a lower monetary barrier to entry.
We customize, isolate and manage AI for optimal production, security and privacy. Public AI tools, even through API's, do not protect your data from prying eyes. These tools were built for general-use, which does not work for most organizations. Most AI companies leverage public models behind the scenes which means you don't know who has your data.
We offer a hardware/software bundle that is plug-n-play, ready to go, and at a fraction of the cost of other systems. All it needs is your planned use-case and data to train on.
If you already have hardware and in-house expertise, we provide a robust pre-built software package that you can deploy on your own hardware, ready to ingest data and start training right away.
If you have use-cases that are not highly sensitive, we can help advise you on ways to leverage specific models, either directly or through API, that make sense for your organization.
Right now! We're currently in production and shipping products. Get it before your competition does and maintain a lead for the long-term.
No! Humans are still a very much required since this is more of productivity enhancer than replacement for resources. However, someone that knows AI may take your job since they'll be many multiples more productive than an employee that does not.
Long FAQ and more information
What motivated us to create Practical AI?
The need for AI capabilities without unknowingly compromising confidentiality, compliance or incurring unnecessary liability. Supporting information below:
Q1: What is the best way to prevent employees from using public AI with company data?
A1: Employee education, policy enforcement and Data Loss Prevention (DLP) are more traditional ways to limit risk. Providing a viable alternative, that is company-approved, will allow employees to be as productive as possible with a well-understood, acceptable and managed risk-profile.
Q2: How does training AI on company-owned data benefit an organization compared to general models?
A2: Training AI on your company's proprietary data allows you to customize AI models to align with your unique needs and industry-specific challenges. Customization leads to higher accuracy, as the models gain domain expertise, and a deep understanding of your operational context. In essence, you gain a competitive edge by leveraging AI for innovative solutions, optimized processes, and data-driven decision-making, which can set you apart from competitors that are relying on generic models.
Moreover, you retain control over sensitive data, ensuring compliance with data privacy regulations and minimizing the risks associated with data breaches.
Q3: How do isolated AI systems help maintain privacy and confidentiality?
A3: Isolated AI systems are invaluable for maintaining privacy and confidentiality. Encryption plays a crucial role in safeguarding data at rest and in transit, preventing unauthorized access. Furthermore, these systems are designed with privacy-by-design principles, reducing the risk of data breaches. By leveraging isolated AI systems, you can prioritize data privacy and protection much more effectively than public models, which have no governance.
Q4: Why aren't privacy and confidentiality built into public AI tools?
A4: Public AI tools prioritize open access and usefulness. They are designed for broad utility across various industries and use cases. As a result, implementing rigorous privacy measures can limit their functionality and accessibility. While these tools provide valuable capabilities, they may not meet the specific data protection and confidentiality needs of businesses, making it essential to consider dedicated, privacy-conscious solutions for organization.
Q5: How do specifically trained AI systems outperform general-purpose systems?
A5: Specifically trained AI systems outperform general-purpose counterparts due to their specialized focus. These systems are tailored to your business domain, leveraging company-owned data for training. This domain expertise allows them to excel in tasks relevant to your industry. They also benefit from using specialized data, which is more aligned with your operations and challenges.
Q6: Why isn't public AI good for private identifiable information (PII)?
A6: Public AI tools are not suitable for handling private identifiable information (PII) within your business due to several factors. These tools are typically designed without the robust security measures and legal compliance required for handling sensitive data. Using them with PII could result in unauthorized access or data breaches, potentially leading to legal and regulatory issues. Moreover, public AI tools may not align with your ethical and privacy considerations, as they are not tailored for safeguarding PII. To protect PII effectively, organizations should consider specialized solutions designed with data privacy and security as primary concerns.
Q7: Why isn't public AI good for intellectual property (IP)?
A7: Public AI tools may not adequately meet your business's legal standards for IP rights. These tools are designed for general use and may inadvertently leak or generate content resembling existing IP, potentially leading to plagiarism or copyright infringement issues. The only real way to protect intellectual property leakage is to manage and maintain an auditable isolated system.
Q8: How is data collected and utilized with public AI tools?
A8: Public AI tools collect and utilize data from various sources, which can include publicly available datasets, web scraping, user-generated content, or licensed data. This data is then preprocessed to clean, format, and structure it for analysis. The insights or predictions generated by these models are then applied to the model itself. In other words, what you give public AI is now owned by public AI and will be used for or against you without regard for privacy or legal rights.
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