Custom Machine Learning Solutions that Learn & Adapt to Your Business

Use your organization’s data to automate tasks, identify trends, and predict future outcomes. Our team of machine learning consultants, data scientists and engineers will develop software that streamlines operations, increases profits, and makes better decisions.

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Problems We Solve With Machine Learning

This isn’t our first rodeo. We've been building machine learning solutions since 2017, partnering with businesses to turn challenges into powerful solutions.

Missed Trends and Patterns

We build predictive models that analyze your historical data to forecast future outcomes and uncover hidden trends.

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One-Size-Fits-All Product Behavior

We create custom recommendation systems that deliver personalized experiences, increasing engagement and customer loyalty.

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Gut-Based Decision-Making

Our solutions provide an intelligent layer that turns raw data into actionable insights, empowering you to make smarter, data-driven decisions.

Inefficient Research and Analysis

We build intelligent layers that unify complex data, providing a comprehensive view for faster, smarter analysis.

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Disorganized Internal Data

Our custom solutions automatically sort and categorize unstructured data, creating a unified and accessible information hub for your team.

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Risk and Fraud Exposure

We develop classification tools that determine outliers and flag fraudulent data points, helping you take action sooner.

Meet Your Data Science and Machine Learning Team

Our data scientists can handle all of your requirements including software development, labeling, and modeling. After the algorithm is tested, we wrap the solution in a cloud infrastructure to deliver a fully functioning Machine Learning solution.

ML Engineer

Martin

Machine Learning Engineer with around 3 years of experience applying deep learning and NLP techniques across computer vision and LLM-based systems. Proven ability to design and deploy end-to-end ML pipelines, from data preprocessing to scalable API integration.

At 923 AI Studio, focuses on building Retrieval-Augmented Generation (RAG) systems, document intelligence pipelines, and citation-enabled content generation using state-of-the-art LLMs. Past work includes enhancing scene understanding at GoPro and developing robust ML solutions at CNRS and ACRI-ST.

ML Engineer

Marius

Machine Learning Engineer with over 4 years of industry experience working in both enterprise environments and consulting roles. Skilled in classical ML solutions such as forecasting, text extraction from images, churn detection, and classification. Experienced in designing, developing, and deploying end-to-end cloud-based data science pipelines. Proficient in building applications powered by LLMs, including RAGs. Also experienced in infrastructure-as-code using Terraform to support scalable and reliable cloud deployments.
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CERTIFICATIONS
• Codecademy – Artificial Intelligence Course

ML Engineer

Oleksii

Machine Learning Engineer with 5+ years of experience in several ML domains: computer vision (text recognition, face recognition), natural language processing (text classification, topic modeling, recommendation systems, generative AI) and classical ML.

Experienced with implementing ML solutions in both start-up and enterprise environments.

ML Engineer

Jurgis

Machine Learning Engineer with 6 years of hands-on industry experience. Proven track record of deploying robust end-to-end Data Science/ML pipelines and driving transformative data initiatives across multiple companies. Skilled in leading projects and managing data teams.

Has deployed multiple LLM-based applications serving thousands of users as well as classical ML solutions such as anomaly detection, clustering & forecasting.

ML team lead

Vitaliius

Machine Learning expert with 6+ years of hands-on experience building and scaling intelligent systems. From early-stage startups to global enterprises, I’ve led projects and teams across the globe. Currently leading an ML department, mentoring engineers, and architecting systems used by millions.

PhD candidate in Natural Language Processing, with strong expertise in deep learning and large-scale ML systems. Passionate about computer science since age 12 and still pushing boundaries every day.

How We Drive Insights from Data

K&L Wines

AI-Powered SKU Matching Saves 14+ Hours Daily

A custom ML model and LLM architecture eliminated 14 hours of daily busywork for K&L Wines with 99% accuracy—paying for itself within weeks.

Full case study

Commodities Hub

Unified Research for Financial Analysts Using AI

PRC Macro and NineTwoThree launched Commodities Hub, an AI platform delivering real-time insights from 15,000+ articles daily via finance-trained chatbot.

Full case study

Launch Labs

Making More Powerful Lookalike Audiences With Machine Learning

Launch Labs wanted to improve their advertising platform with better audience attribution. NineTwoThree created an audience based on ML algorithms that performed better than Facebook's audience by 7x.

Full case study

Cymbiotika

Used ML to Predict Thousands of Sales

Cymbiotika wanted to predict which product customers might be interested in after receiving bits of customer data. NineTwoThree analyzed previous behaviors and created a Machine Learning model that predicted products better than current methods - thus increasing sales.

Full case study

PMI

PMI Reduced Self-Assessment Test Time By 80%

PMI transformed the way students prepare for its certification exam by adopting gamification. We built a new assessment together that reduced test time by 80% and offered instant feedback.

Full case study

Dataflik

Predicting House Sales With 85% Accuracy

Dataflik helps real estate investors improve their business marketing operations. NineTwoThree built the machine learning model that predicts which houses in America will be listed for sale with 85% accuracy.

Full case study

ML Development Technologies Stack

Foundation Models

OpenAI

Claude

Gemini

LLaMA

Mistral

Bedrock

Cohere

Stability AI

Perplexity

Vector Databases

LangChain

LlamaIndex

TensorFlow

Transformers

Keras

scikit-learn

PyTorch

Hugging Face

SpaCy

AI Frameworks

Pinecone

AWS Vector

FAISS

Chroma

Qdrant

pgvector

Computer Vision

OpenCV

TorchVision

Tesseract

Azure OCR

Textract

GPT Vision

Monitoring & Assistants

Langfuse

Helicone

ChatGPT

Claude

AugmentCode

Object Detection

YOLOv8

YOLOv11

Detectron

Discover more

An Award-Winning AI Development Agency With A Proven Track Record

We help established brands iterate like startups and startups scale like established brands. Partnering with industry leaders and visionary entrepreneurs we focus on profit producing applications that are a delight to use. We leverage this transformation through the power of agile methodology, design thinking and impeccable engineering to help our clients rapidly identify and validate new products.
And we have the stats to back it up...

Experts

150+

Projects

Startups

Years In Business

Boston Agency

Years In A Row

OUR APPROACH

Get Started on Your Machine Learning Project Today

Discovery

AI Discovery Sprint

Our process starts with connecting you to our leaders, who have built over 150 projects. If aligned, the second call will include our Product Managers and Engineers to scope the project. The final step is a proposal presentation.

strategy

Rapid Validation Sprint

We start by immersing ourselves in your business, industry, and existing software. We then build a functional proof-of-concept to validate the technical feasibility. This hands-on planning process arms you with a clear architectural blueprint and a precise technical implementation roadmap for the next phase.

DEVELOPMENT

Development & Build

Production-grade AI software, built in your infrastructure, with real-time visibility into every task. No prototypes, no maybe's. Just code that delivers testable ROI. We trademarked in Full Transparency Development^TM so you’re never left in the dark.

Go LIVE

Launch & Scale

Go live, measure results, and expand AI across your organization at a predictable cost. Ask other agencies if they know enough about guardrails to predict a launch cost. AI success is half product, half adoption. This is why we measure KPIs on real results, not assumptions.

ONGOING

Training and Ownership Transfer

We train your internal team to operate and manage the project. Whether we help you hire or train your engineers, we empower you to take over everything we developed. If you don’t have internal resources, we can serve as your maintenance & support team.

Tandhoni Rao

Former CTO of Xeros Technologies

They're able to synthesize requirements and provide alternative ways of thinking about things. They really go through that extra effort to make those suggestions, so you should take advantage of that. Their insights are very valuable and that distinguishes them from other providers.

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Have a Project?
‍Talk to the
Founders Directly

It's free, what do you have to lose?

Custom Machine Learning Solutions that Learn & Adapt to Your Business

Problems We Solve With Machine Learning

Meet Your Data Science and Machine Learning Team

Martin

Marius

Oleksii

Jurgis

Vitaliius

How We Drive Insights from Data

AI-Powered SKU Matching Saves 14+ Hours Daily

Unified Research for Financial Analysts Using AI

Making More Powerful Lookalike Audiences With Machine Learning

Used ML to Predict Thousands of Sales

PMI Reduced Self-Assessment Test Time By 80%

Predicting House Sales With 85% Accuracy

ML Development Technologies Stack

An Award-Winning AI Development Agency With A Proven Track Record

Experts

Projects

Startups

Years In Business

Boston Agency

Years In A Row

Get Started on Your Machine Learning Project Today

AI Discovery Sprint

Rapid Validation Sprint

Development & Build

Launch & Scale

Training and Ownership Transfer

Have a Project?‍Talk to theFounders Directly

Have a Project?
‍Talk to the
Founders Directly