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Leverage your data with innovative AI solutions

Custom model development to solve your unique business problems

EXIT83 has built a legacy in helping businesses solve critical problems with data-centric solutions rooted in cutting-edge technology. We’re not just witnesses but active participants of the greatest “firsts” in the tech world—from developing one of the first award-winning mobile apps for the iPhone to researching AI techniques that help our clients take their business to the next level. If you’re ready to scale up your business, the next step is to use AI tools to drive your goals.

Powered by industry experts

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Meet Dr. Oscar Correa, AI/ML Leader at EXIT83

PhD in Computer Science • Recognized AI researcher • Multiple published research papers on AI

Troubleshooting with computer vision

ITpipes has a commercial platform that municipalities use to detect pipe defects in their city water systems. The ITpipes platform helps engineers pinpoint defects through hours of video. In the past, this process has been 100% reliant on the sewer technicians to spot any issues in the video footage. Now, with EXIT83’s trained AI computer vision model, technicians spend only a third as long reviewing each video. The model itself is able to identify a vast majority of defects and even label the severity of the defect.

ITpipes

Our technology stack and AI/ML capabilities 

Commercial models
  • BERT
  • GPT3.5 and GPT4
  • LLaMa
  • Dino
MLOps
  • Azure Cognitive Services_Azure ML Workspace
  • AWS Sagemaker
  • Tensorflow
  • Azure OpenAI
  • Custom CoPilot integrations
Advanced AI Techniques & Analysis
  • Supervised learning: classification, time series analysis, churn prediction
  • Unsupervised learning for unlabeled data
  • Deep AI/ML analysis
  • Graph Theory for enhanced data insights

How we engage with your data

Your business sets the pace. Start with a small proof of concept centered on your data before scaling up. 

Step 1

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Schedule a free brainstorming session

Spend a free hour with our experts where we explore your unique business problems and we suggest ways AI can help solve them.

Step 2

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Data Assessment

Assess your data to determine if it’s viable in an AI/ML process and outline the next steps.

step 3

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Proof of Concept (POC) Development

Develop a low-cost, low-risk proof of concept using a subset of your data to establish a data pipeline.

step 4

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Model Selection

Progress to a full engagement where multiple models are developed, honing in on the training methods that deliver optimal accuracy.

step 5

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Seamless Deployment and Continuous Improvement

Transition to the deployment phase with a robust model, entering a sustainable partnership characterized by regular optimization and performance enhancement.

Grow your business with confidence

Let’s start a conversation about your AI and engineering software needs.