About Us - Ai Labs

About Ai Labs

Ai Labs (www.ailabsinc.com) was founded in 2017 and incorporated in the State of Arizona. With head offices in Tempe, AZ, the Company also has a development center in India that specializes in Artificial Intelligence, Robotic Process Automation and Software Development. The Company has a team of experienced professionals with expertise in various technologies and domains where we pioneered the process of incorporating RPA into our Ai solutions. The Company applies leading edge technology to deliver a portfolio of innovative Ai solutions for custom use cases. With our head office in US and offshore engineering centers, we provide 24/7 support for Data Analytics, Ai Project Development & Post Implementation support.

Our Proprietary Solutions

Minsky's innovative core is built on a foundation of unique algorithms and machine learning frameworks. This intellectual property allows us to deliver unprecedented speed, accuracy, and ease of use, all without the need for specialized technical teams.

Minsky™ CodeAudit

Minsky™ CodeAudit by AI Labs Inc. is an AI-powered engine that goes beyond traditional code reviews — it audits, fixes, and modernizes your software automatically. It analyzes source code, APIs, and dependencies to detect vulnerabilities, compliance gaps, and technical debt while generating fixes and full-stack code where needed. Secure, compliant, and cloud-ready — Minsky CodeAudit turns every audit into action.

Minsky™ CodeGen

An AI-powered code generation engine that transforms natural language into optimized, production-ready code. Minsky™ CodeGen helps enterprises and developers reduce development cycles, improve code quality, and accelerate innovation.

Minsky™ AtlasIQ

A decision intelligence engine that blends AI with business logic to deliver real-time insights, predictive analytics, and strategic recommendations. AtlasIQ empowers leaders to make smarter, faster, and more data-driven decisions.

Minsky™ Cube

A multi-dimensional AI-powered data engine built to process, analyze, and visualize massive, complex datasets at speed. Minsky™ Cube turns raw data into actionable intelligence, unlocking hidden patterns and powering enterprise-scale analytics.

Minsky™ AI Platform

At AiLabs Inc, we are building proprietary platforms and solutions that redefine how enterprises adopt and scale AI. Each of our products is designed with performance, reliability, and future-readiness in mind. A comprehensive AI ecosystem that accelerates enterprise AI adoption. Minsky™ AI Platform enables organizations to seamlessly integrate AI into operations, ensuring scalability, governance, and measurable business outcomes.

What We Do

Ai Labs empowers enterprises with next-generation Artificial Intelligence solutions built on our proprietary Minsky™ Platform Suite. We combine advanced AI, automation, analytics, and code-intelligence to help organizations accelerate digital transformation across every function.

Our offerings include:

Minsky™ CodeAudit – AI-driven code auditing, quality checks, modernization, and auto-remediation.

Minsky™ CodeGen – Natural-language to production-ready code generation for faster development.

Minsky™ AtlasIQ – Strategic simulation and decision intelligence for enterprise leadership.

Minsky™ Cube – High-speed data ingestion, analytics, and visualization engine.

Minsky™ AI Platform – A unified AI ecosystem for scalable deployments across industries.

We also deliver Custom AI solutions, enterprise automation Across sectors—banking, healthcare, manufacturing, logistics, energy and government—we enable smarter decisions, enhanced productivity, and measurable ROI.

In addition to our other services, we also offer comprehensive AI training programs designed for C-Level Executives, Managers, and Data Science Engineers. Our expert-led programs offer tailored instruction to enhance your understanding and application of AI technologies. Whether you're seeking to stay ahead in your industry or looking to drive innovation within your organization, our customized training equips you with the knowledge and expertise needed to navigate the AI landscape with confidence and success

Need For Ai...

Need for an easy to use multi-purpose Ai Engine: Clients invariably ask how they can use Ai to add value to their business. The answer is by deploying an Ai Engine as an implementation vehicle through which Ai functionality can be leveraged, abstracting away the inherent complexity. Composed of several distinct modules, an Ai Engine can be deployed either as a service (AIaaS) or embedded within client-server, web or mobile applications. An Ai Engine is comprised of several fundamental modules which include a Machine Learning (ML) Module a Deep Learning (DL) Module and a Natural Language Processing (NLP) Module.

Machine Learning

Machine Learning is based on Neural Networks which model biological brain function. A Neural Network is a net of neurons (brain cells) that are linked to each other through connections called synapses (think of a fishing net) These connections have a certain strength (positive or negative) and the combination of these will result in a neuron being turned on (firing), or not, according to a certain threshold value (think of a light bulb with some power cords attached: if the cumulative power is enough the light bulb will turn on). Human thinking is the effect of firing (or not) of neurons. Now, take one side of a Neural Net and turn on some neurons. Then take the other side and again turn on some neurons. You have given the net an example of a given input and an expected output (think of an input of 1 plus 1, and an output of 2 so as to teach it addition). Next, give it lots of examples and then use a specific standardized learning algorithm through which it can learn by adjusting the power of its connections and when neurons will fire. Once it stabilizes through many iterations, ask it to add numbers that you haven’t taught it: it will respond with a high probability of accuracy based on what is has learned. In this way, given an input dataset (e.g. images) and an output data set (e.g. a description of these images), based on the patterns it ‘sees’ it can very accurately answer what a new picture contains even though it has never seen it before.

Deep Learning

Deep Learning on the other hand is a type of machine learning and artificial intelligence (Ai) that imitates the way humans gain certain types of knowledge. It is extremely beneficial to data scientists who are tasked with collecting, analyzing and interpreting large amounts of data; deep learning makes this process faster and easier. Deep learning utilizes both structured and unstructured data for training. Practical examples of deep learning are Virtual assistants, vision for driverless cars, radiology, face recognition and many more.

Generative Ai/ Natural Language Processing

Generative Ai/ Natural Language Processing (NLP) is a form of artificial intelligence (Ai) that gives computers the ability to read, understand and interpret human language. It helps computers measure sentiment and “rate” human language (written or spoken). An example of NLP is automated systems direct customer calls to a service representative or online chat bots, which respond to customer requests with helpful information