NineTwoThree Resources

Read ebooks and resources written by our experts. Browse through ideas and projects we have been working on and get free PDF copies of each study.

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Smart Buyer’s AI Partner Checklist – Choose the Right AI Agency

Custom Software Development

Generative AI

Author:

Alina Dolbenska

A practical checklist to help you assess AI vendors, avoid common pitfalls, and ask the right questions about data, models, compliance, and long-term support.

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The Hidden Costs of Transitioning to In-House Development (and How You Can Avoid Them)

Custom Software Development

Product Strategy

Author:

Pavel Kirillov

At NineTwoThree AI Studio, we’re genuinely excited when clients are ready to bring the team in-house after a successful collaboration. It’s a huge milestone, and we’re thrilled to see that kind of investment in the project. But, as much as we love seeing clients take the reins, we’ve seen enough to know that this transition can easily go sideways without the right strategy. Let’s take a look at the common pitfalls and how to avoid them.

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Investing in Machine Learning with Confidence: Steps to Secure ROI

Machine Learning

Consulting

Author:

Pavel Kirillov

AI works, but only if you approach it the right way. Before starting your AI project, let's take a moment to learn from others' mistakes. From defining success metrics to building with the right tools, we've got the insider tips to help you avoid common pitfalls and set your AI strategy up for real success.

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Seamlessly Integrating AI into Mobile Apps

Mobile App

Android

Author:

Pavel Kirillov

This resource explores the seamless integration of Artificial Intelligence into mobile applications. We'll examine key benefits, explore strategic implementation approaches, and dissect real-world examples of successful AI-powered mobile experiences. We'll address the unique challenges and considerations that arise when deploying AI on mobile devices, paving the way for a deeper understanding of this rapidly evolving field.

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Effective Guardrails for Your GenAI Apps

Generative AI

Android

Author:

Pavel Kirillov

Generative AI is revolutionizing businesses, offering exciting opportunities, but it’s not without its risks. From chatbots creating fake policies to digital assistants suggesting questionable actions, the potential for misuse is real. Before looking into the world of GenAI, it’s essential to ensure proper guardrails are in place to protect your brand and users.

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From Zero to Million-Dollar Product - Real-Life Case Study with DataFlik

Machine Learning

Consulting

Author:

Pavel Kirillov

Predicting home sales before they hit the market is a game-changer for real estate professionals. DataFlik, one of the country’s largest providers of wholesale residential real estate data, partnered with NineTwoThree to turn this vision into reality.

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ROI of Data Science — Real-Life Case Study with Amerit

Machine Learning

Consulting

Author:

Pavel Kirillov

Every day, we hear about how AI and machine learning can "revolutionize industries," but rarely do we see real-world examples that break down the how. That’s why we’re sharing the story of how NineTwoThree helped Amerit Fleet Solutions transform their repair process with a data-driven ML solution—predicting errors with over 70% accuracy and saving time, money, and their reputation.

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Key Elements for Timely Completion of Machine Learning Projects

Machine Learning

Consulting

Author:

Pavel Kirillov

Whether you’re looking into AI for the first time or looking to refine your approach, this guide is packed with easy-to-follow insights and advice. From project planning to tackling the unexpected, we’ll walk you through everything you need to know to keep things running smoothly. Ready to make your AI project a success? Let’s jump in!

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How Data Maturity Can Skyrocket Your AI Projects to the Next Level

Generative AI

Consulting

Author:

Pavel Kirillov

Imagine your AI projects powered by flawless data—because that’s where the magic happens! Whether you’re troubleshooting an existing AI product or just embarking on your data-driven journey, understanding the role of data maturity can be transformative. Explore the impact of elevating your data practices to create AI solutions that are smarter, faster, and more secure.

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Self-hosted vs Third-party LLMs

Machine Learning

LLM

Author:

Pavel Kirillov

The AI revolution is changing how many forward-thinking organizations operate. Enterprises that we work with have saved thousands of hours and millions of dollars by strategically integrating AI into their operations. By now, it’s clear the best-in-class companies of tomorrow will use AI as a core part of their business. Anyone who wants to jump on this trend would be wise to start exploring now.

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A Framework For Presenting Complex Machine Learning Concepts for Non-Technical Stakeholders

Machine Learning

LLM

Author:

Pavel Kirillov

Machine learning projects are as much about alignment as they are about algorithms. Whether you're updating stakeholders on progress, securing buy-in, or managing expectations, clear communication is key to success. But keeping everyone informed—especially across teams with varying technical expertise—can feel like an uphill battle. How do you simplify complex updates without oversimplifying? How do you keep stakeholders engaged and in sync with project goals? We’ve put together a practical framework to help you bridge the gap between technical details and stakeholder priorities.

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Balancing Complex and Simple ML Solutions

Machine Learning

LLM

Author:

Pavel Kirillov

The AI revolution has created a steady stream of flashy demos, incredible products, and life-changing announcements. Followed closely by sky-high expectations for what’s possible with AI.

Author:

Pavel Kirillov

NineTwoThree was selected by the CR Innovation Lab to help build an experimental chatbot that combines the power of AI with CR's expertise to answer your questions and offer product recommendations.

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Tackling Hallucinations in LLMs with RAG

Generative AI

LLM

Author:

Pavel Kirillov

The rise of Large Language Models (LLMs) like ChatGPT has unlocked a new capability for technology-focused organizations. It’s not just about transforming existing processes like customer service and FAQs - LLMs are creating new use cases and features that weren’t possible before.

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Helping Students Perform Self-Evaluations 80% Faster with Gamification

Custom Software Development

Web App

Author:

Pavel Kirillov

By collaborating with NineTwoThree Studio, PMI reduced their assessment time from three hours to just 40-60 minutes. The gamified approach dynamically adjusted question difficulty based on student performance, making the process more engaging and efficient.

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Predict Qualified Leads from Previous Consumer Actions

Machine Learning

Consulting

Author:

Pavel Kirillov

There's thousands of organizations sitting on a gold mine of insights for their data. The tough part is finding them.

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Predictive Lead Scoring Increases Insurance Company's Top Line

Machine Learning

LLM

Author:

Pavel Kirillov

In the competitive world of insurance sales, efficiency is paramount. Cultivating a prospect from initial contact to a closed deal is a complex process, often riddled with wasted time and missed opportunities. This case study looks into how NineTwoThree partnered with a mid-sized insurance company to revolutionize their lead generation strategy using the power of Machine Learning (ML).

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Building a Privacy-First LLM

Generative AI

LLM

Author:

Pavel Kirillov

In the evolving landscape of AI technology, the integration of Large-Language Models (LLMs) into organizational workflows have increased. For security-focused entities, the deployment of LLMs presents unique challenges, particularly concerning data privacy and reliability. This case study offers an in-depth exploration of the process involved in building and integrating Privacy-First LLMs. It sheds light on how organizations can effectively leverage AI while prioritizing security and compliance. By adopting privacy-focused systems, security-conscious entities can successfully navigate the complexities of AI integration while safeguarding the integrity and confidentiality of their data.

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How Retrieval Augmented Generation Powers Enterprise Generative AI Projects

Generative AI

LLM

Author:

Pavel Kirillov

As with any groundbreaking technology, Generative AI has imperfections. One of the most prominent of these limitations is the challenge faced by LLMs in delivering accurate, sourced, and contextually appropriate content. This main limitation makes it almost impossible for a company to stake its reputation based on an LLM’s unknown output. How would you feel if a brand you trusted lied to you while you asked them questions about your account? This fear has led to the inception and growing relevance of retrieval-augmented generation (RAG). With RAG companies have more control over the materials an LLM uses for its information and the answers it gives users.

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Integrating IoT Solutions for The Golf Course and Increasing Downloads by 304%

Internet of Things

Edge IoT

Author:

Pavel Kirillov

Realizing the depth of the challenges and recognizing the need to act swiftly, SWEE sought external help. They turned to NineTwoThree, a renowned app development company known for breathing life into struggling projects. With an impressive portfolio that included multiple successful Internet of Things (IoT) applications, NineTwoThree was the perfect ally for SWEE.

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Why Semantic Search Will Change the Internet

Generative AI

LLM

Author:

Andrew Amann

While LLMs are trained on large amounts of data, they don’t have the ability to understand the context and intent of the words they are trained on. This is where semantic search enters the conversation. Semantic search has the ability to recognize the underlying meaning of search queries and return results based on the meaning, even if the search query doesn’t contain the exact keywords that are used in the results. Before we can dive into how semantic search makes LLMs better, we need to first look at semantic search itself.

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Integrating With Dorel Baby Monitors & Selling Thousands at Target

Mobile App

iOS

Author:

Andrew Amann

When it came to developing their pioneering initial baby monitor application, Dorel Industries recognized the importance of finding a collaborator who shared their passion for technical pushing boundaries. That's why they turned to NineTwoThree Studio

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How to Evaluate and Hire an App Agency

Mobile App

Android

Author:

Andrew Amann

Ready to Build Your Dream App? Finding the right app agency can be the difference between a successful launch and a failed project. Our Flipbook, "How to Evaluate and Hire an App Agency," guides you through the process, from defining your app's goals to selecting the perfect partner. Learn key questions to ask, red flags to avoid, and best practices for a seamless collaboration. Let's turn your app idea into reality!

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The Complete Guide to Mobile App Development Planning And Costs

Mobile App

Android

Author:

Pavel Kirillov

When you're investing time, effort, and a substantial amount of money into the app development market, you're naturally looking for a worthwhile return. That's where a solid grasp of the cost structure comes into play.

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ChartMogul: Scaling Users by Creating an Android App

Mobile App

Android

Author:

Andrew Amann

NineTwoThree Studio and ChartMogul, a leading SaaS subscription analytics platform, developed and launched an Android app that expanded its user base.

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Building a Saas From 0 to $100K ARR in 9 Months

Business Models

Web App

Author:

Andrew Amann

With Altar Live, we recognized an untapped potential in serving religious communities worldwide. Understanding the importance of faith and the growing need for digital solutions for congregations, we tailored our offerings to cater specifically to churches. Our unique approach and deep understanding of this niche market resonated profoundly, leading us to achieve an annual recurring revenue (ARR) of $100,000.

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Predicting 74% of All Houses Sold In The United States Every Month

Generative AI

Web App

Author:

Pavel Kirillov

DataFlik approached NineTwoThree to build a machine-learning model that generates prioritized lists of motivated sellers more accurately than a human.

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Using Machine Learning to Improve Maintenance Costs in Manufacturing

Machine Learning

Edge IoT

Author:

Pavel Kirillov

Discover how applying machine learning algorithms to hydraulic system components can improve overall maintenance based on this case study.

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Our Unique Process For Developing Dozens of Consumer Mobile Apps

Mobile App

iOS

Author:

Pavel Kirillov

Learn about the steps to develop a consumer mobile app, from researching the target market to designing and coding the app, branding, and revenue models.

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Lessons From Building a Mental Health ChatBot

Generative AI

CMS

Author:

Pavel Kirillov

In this case study we discuss how our client decided to question if ChatGPT could be trained to be a replacement for a therapist.

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Fast Development in High-Growth Software Startups

Custom Software Development

Web App

Author:

Ventsi Todorov

B2B Collaboration. Dock's software platform drives transparency and collaboration between businesses. NineTwoThree developed features to elevate that platform.

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How to Develop a Successful B2B Application

Mobile App

iOS

Author:

Ventsi Todorov

Explore the process and methodologies for designing powerful B2B mobile and web apps that address unique complexities and solve business problems.

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