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Leverage your data with innovative AI solutions

Our team of AI researchers can build a custom model to bring new opportunities to your corpus of data. We are also quite versed on the AI ecosystem and we can help integrate third party AI models into your business workflow.

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.

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Leading our AI Research Team

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

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

Driving Business Outcomes

At EXIT83, we don't believe in deploying AI for AI's sake. We believe in delivering results. Every project starts with your business goals and ends with measurable ROI, whether that's cutting costs, modernizing platforms, or new business opportunities.

AI Solutions Built By EXIT83

Unlocking potential with predictive maintenance

Optimum Energy developed a platform to remotely manage commercial A/C and HVAC installations, which optimizes the energy required to cool a building. For the last seven years, they have been collecting data about customer sites. However, they did not have the in-house knowledge to unlock the AI value found in this data. EXIT83 developed a proof of concept AI model that took two years' worth of telemetry data for a single customer, where the data was unlabeled and included over 300 unique variables. To understand how these variables were related to each other, we first developed a massive data correlation table to understand which unlabeled telemetry characteristics were related to each other. Finally, we trained a model utilizing these correlations to accurately predict when an installation would need servicing—ultimately preventing unnecessary downtime.

Predictive Maintenance

AI Agent in Action

William is EXIT83's AI-powered hotel concierge designed to simplify and elevate the guest experience. He manages requests, schedules services, and handles routine questions in real time, freeing up staff to focus on high-value interactions. William blends natural conversation with seamless integration into your existing systems, ensuring guests feel supported while your team gains efficiency and measurable ROI. In this demo, the agent interacts with 4 fake systems within the hotel: Guest registry, Food & Beverage, Shuttle, and Spa.

RAG fine tuning for VC's

The Venture Deal Assistant accelerates venture and private equity deal flow by ingesting the entire contents of a Data Room and making it instantly searchable through retrieval-augmented generation (RAG). It aligns with your firm's investment thesis to produce tailored deal insights and recommendations. With a collaborative chat interface, partners can ask questions, uncover risks, and surface opportunities together—streamlining diligence and improving confidence in every investment decision.

CV / AI Custom Model

Using self-supervised learning (SSL) techniques (specifically the DINO method), our model ingests raw sewer camera footage and learns representations without needing massive labeled datasets. During deployment, it can detect defects — cracks, blockages, maintenance needs — even in previously unseen conditions, by flagging anomalies and structural deviations. In testing on the Sewer-ML dataset, it achieved strong performance using just 10% labeling (metrics: 50.05 / 87.45). This approach enables scalable, cost-effective monitoring of urban infrastructure with minimal human oversight.

How we provide real ROI

Start with a small proof of concept centered on your desired business outcomes.

STEP 1

Schedule a Discovery Session

Spend an hour with our experts where we explore your unique business pain points as we learn your business.

STEP 2

Document the Problem, Define Success

Build a working document where all parties converge on your business pain points or opportunities. Agree to a set of KPI's that establish what success looks like.

STEP 3

Gauge Company Readiness

Examine how an AI solution will fit within the company culture. Address budgetary concerns. Focus on business outcomes not the technology.

STEP 4

Proof of Concept (POC) Development

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

STEP 5

Seamless Deployment and Continuous Improvement

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

AI consultation AI development AI deployment

How can AI help you achieve your business goals?

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

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