Xorbix Technologies
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Decades of Delivery

At Xorbix, we’ve been delivering software solutions for over 25 years. We’ve navigated countless technology evolutions, and AI is another powerful chapter in our story.

Our deep-rooted expertise means we know exactly how to turn innovation into real results. With our proven delivery model, we ensure your journey into artificial intelligence isn’t just promising, it’s predictable, clear, and impactful.

What You Can Expect

We keep things simple, fast, and clear. You’ll always know what’s happening, who’s doing it, and when it’ll be done.

  • Built around you: Every project is shaped to fit your goals, systems, and team.
  • Clear communication: No surprises. We stay in sync, every step of the way.
  • A team you can trust: Senior developers, engineers, and data scientists who show up, stay engaged, and get the work done right.
  • We stay with you: From kickoff to launch and beyond, we don’t hand off and walk away.

xorbix at a glance

xorbix
at a
glance

Millions+ of Users Served

250+ Clients Served

500+ Projects Completed

25+ Years In Business

Our Delivery Process

Our delivery process follows an agile model, moving through Discovery, Design, Development, Testing, Deployment, and Managed Services. It’s a flexible, iterative approach that keeps momentum high, communication clear, and projects moving smoothly from start to finish.

Machine Learning

Discovery

We align on what the AI should do, what data we have, what tools to use, and what success looks like. We define the requirements clearly, so everyone knows what’s getting built and why.

Machine Learning

Design

We translate requirements into a clear technical and user experience plan. This includes model architecture, data pipelines, integration points, and UI/UX design, so developers know what to build and users know how it will feel to use.

Machine Learning

Development

We build the model, write the code, and connect it to your data and systems. You’ll review working features during each sprint and stay hands-on until it’s ready to launch.

Machine Learning

Testing

Our QA Department conducts thorough manual and automated testing to ensure software reliability and security, safeguarding against AI hallucinations, and preparing the product for successful deployment.

Machine Learning

Deployment

Once your AI project is tested, we finalize the software for live use with a thorough pre-launch review and post-launch monitoring to ensure optimal performance.

Machine Learning

Managed Services

We offer continuous monitoring, maintenance, and updates to align the AI software with evolving business needs, user feedback, and technological advancements.

Our Delivery Process
Our delivery process follows an agile model, moving through Discovery, Design, Development, Testing, Deployment, and Managed Services. It’s a flexible, iterative approach that keeps momentum high, communication clear, and projects moving smoothly from start to finish.
Discovery

We align on what the AI should do, what data we have, what tools to use, and what success looks like. We define the requirements clearly, so everyone knows what’s getting built and why.

Design

We translate requirements into a clear technical and user experience plan. This includes model architecture, data pipelines, integration points, and UI/UX design, so developers know what to build and users know how it will feel to use.

Development

We build the model, write the code, and connect it to your data and systems. You’ll review working features during each sprint and stay hands-on until it’s ready to launch.

Testing

Our QA Department conducts thorough manual and automated testing to ensure software reliability and security, safeguarding against AI hallucinations, and preparing the product for successful deployment.

Deployment

Once your AI project is tested, we finalize the software for live use with a thorough pre-launch review and post-launch monitoring to ensure optimal performance.

Managed Services

We offer continuous monitoring, maintenance, and updates to align the AI software with evolving business needs, user feedback, and technological advancements.

Xorbix Engagement Process

AI Is Big. Your First Step Doesn’t Have to Be

Download our free AI strategy guide and take the guesswork out of getting started.

Our Technology Toolkit

Azure

Microsoft’s enterprise cloud platform offers scalable tools for AI development and deployment.

How We Use It: We use Azure Machine Learning to train models, Data Factory to build and manage data pipelines, and Synapse for advanced analytics. We also leverage Azure OpenAI Service when clients need secure, enterprise-grade LLMs with private networking, role-based access, and compliance support.

AWS

Amazon’s cloud ecosystem, ideal for building scalable, high-performance AI and data applications.

How We Use It: We build machine learning models in SageMaker, automate backend logic with Lambda, and use Redshift for fast, flexible analytics. Perfect for clients who need custom AI that can scale quickly.

Google Cloud

Google’s AI-native cloud platform with strong support for experimentation, data analytics, and deployment.

How We Use It: We use Vertex AI for full ML lifecycle management, BigQuery for large-scale analysis, and Cloud Functions for app logic. When building smart search, we also use Vertex AI Search to power semantic enterprise search and retrieval-augmented generation (RAG) workflows.

OpenAI / ChatGPT

Industry-leading large language models (LLMs) used to automate, summarize, and interact with text-based content.

How We Use It: We securely integrate the OpenAI API to bring advanced natural language capabilities into our clients' applications. This includes building GPT-powered chatbots, automating internal workflows like summarization or categorization, and embedding conversational AI into websites, SaaS platforms, and internal tools.

Databricks

A unified analytics platform that combines data engineering, machine learning, and governance.

How We Use It: We use Databricks to clean and transform data at scale, experiment with machine learning models, and operationalize AI workflows using lakehouse architecture. With MLflow, we manage model versioning, track experiments, and streamline deployment to ensure reproducibility and maintainability in enterprise environments.

Python & ML Libraries

The foundational tools for building, training, and deploying AI models.

How We Use It: We use libraries like TensorFlow, PyTorch, Scikit-learn, and Hugging Face to develop models across use cases, from NLP to computer vision to forecasting. Open-source and production-tested.

Snowflake

A cloud-native data platform built for scale, speed, and secure data sharing across teams.

How We Use It: We use Snowflake to power analytics, connect to AI pipelines, and store features for model training and scoring. It's great for clients who need centralized, high-performance access to massive data volumes.

Other Platforms

We work across a wide range of AI tools and cloud platforms to meet our clients where they are.

How We Use It: Whether you're using a private LLM, deploying through a niche cloud platform, or working with tools like Anthropic Claude, IBM Watson, Salesforce Einstein, or something entirely custom, we integrate with it, extend it, and make it part of your end-to-end AI solution.

AI Tools & Frameworks

  • Python
  • R
  • C#
  • Java
  • TensorFlow
  • Pandas
  • Sonnet
  • Keras
  • artificial intelligence Caffe
  • MLlib
  • OpenCV
  • SparkML
  • Scikit-Learn
  • PyTorch
  • Numpy
  • Microsoft
    Cognitive Toolkit
  • XGBoost
  • Faiss
  • NvidiaDigits
  • NLTK
  • Amazon SageMaker
  • AWS Deep Learning AMIs
  • Cloud Vision API
  • Amazon Comprehend
  • Amazon Rekognition
  • Azure Cognitive Services
  • Cloud Natural
    Language AI
  • Google Cloud AutoML
  • Amazon Lex
  • Azure Bot Service
  • Cloud Speech API
  • NVIDIA CUDA
  • Amazon Polly
  • Azure Language
    Understanding
  • Dialog Flow
  • OpenAI API
  • Azure Machine Learning
  • Cloud Machine
    Learning Engine
  • Databricks
  • Amazon Transcribe/
    Amazon PollyData
  • Azure Data factory
  • Azure Databricks
  • Apache Nifi
  • Azure Functions
  • AWS Glue
  • Pentaho
  • Fivetran
  • Dell Boomi
  • AWS Data Exchange
  • Microsoft SQL Server
    Integration Services
  • Azure Blob Storage
  • Microsoft SQL Server
  • Amazon DynamoDB
  • Google Cloud Storage
  • Azure Data Lake Storage
  • Amazon S3
  • Amazon ElastiCache
  • Amazon RDS
  • Azure SQL Database
  • Amazon Redshift
  • PostgresSQL
  • Azure Cosmos DB
  • Azure SQL Database
    Elastic Pool
  • Amazon Aurora
  • MySql
  • SQLite
  • Azure SQL Managed
    Instance
  • Azure Analysis
    Services
  • Amazon Athena
  • Icon-Architecture/64/Arch_Amazon-Redshiftct_64Created with Sketch. Amazon Redshift​
  • Azure Stream
    Analytics
  • Azure Synapse
    Analytics
  • Tableau
  • SQLite
  • Amazon Kinesis
    Data Analytics
  • Google Cloud
    Storage
  • Microsoft Power BI
  • Microsoft SQL Server
    Analysis Services
  • Datawrapper
  • Plotly
  • D3.js
  • bokeh
  • Google Charts
  • Chartist.js
  • Infogram
  • Excel
  • Matplotlib
  • Tableau
  • PowerBI

NDA & Next Steps

Want to dive deeper? Download our NDA so we can get into the details, share ideas, and start shaping a solution that fits.

FAQs

What is AI, and how can it benefit my business?

AI (Artificial Intelligence) enables machines to mimic human intelligence, automating tasks, analyzing data faster, and providing valuable insights. For your business, this means streamlining operations, improving decision-making, and enhancing customer experiences.

What custom AI solutions do you offer?

We specialize in delivering a range of AI solutions, including Generative AI Systems, Computer Vision Systems, Speech Recognition Systems, Machine Learning Systems, Natural Language Processing Systems, and Expert Systems. These systems are tailored to your specific needs, whether it’s automating tasks, improving user interactions, or analyzing large datasets.

How does AI learn and improve over time?

AI systems improve by processing data and learning from past outcomes. Over time, the AI adjusts its models and algorithms to recognize patterns, make more accurate predictions, and optimize performance as it interacts with more data.

How long does it take to implement an AI solution?

Implementation timelines vary based on complexity. Simple AI projects might take a few weeks, while more advanced solutions like Machine Learning Systems or Natural Language Processing Systems could take several months to fully integrate.

How secure is my data during the AI implementation?

We prioritize data security, employing strict encryption and secure access protocols throughout the AI development and deployment phases. Your data is safeguarded at every step of the process.

Can AI integrate with our current systems?

Absolutely. Our AI solutions, including Computer Vision and Speech Recognition Systems, are designed to integrate seamlessly with your existing platforms—whether cloud-based, on-premises, or hybrid systems.

What support do you offer during and after implementation?

We provide end-to-end support, from initial deployment to ongoing optimization. This includes testing, training, and maintenance to ensure your AI solution delivers long-term value.

How do we get started with a custom AI solution?

Contact us for a consultation, and we’ll work with you to assess your business needs, current infrastructure, and goals to design a customized AI solution.

Are you a US-based company?

Yes, we are proudly headquartered in Wisconsin, right in the heart of the Midwest. Our developers are local to the Midwest, ensuring that you get the personalized service and support you deserve. We’re committed to fostering local talent and providing top-notch AI solutions with a deep understanding of the unique needs and challenges faced by US manufacturers.

We’re Ready When You Are

Whether you have a clear goal, a rough idea, or a problem that needs fixing, we’re here for it.

Fill out the form and we’ll follow up to schedule a short, focused conversation. We’ll walk through what you’re trying to achieve, share how we work, and outline the next steps to move forward with confidence.

Address

802 N. Pinyon Ct,
Hartland, WI 53029

Billing Inquiries


(866) 568-8615

Information and Sales


info@xorbix.com

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