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

Commodities Hub

Commodities Hub Unified Research For 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 Portfolio

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 Portfolio

Cymbiotika

Cymbiotika Uses ML to predict 1000s 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 Portfolio

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 Portfolio

Dataflik

Predicting Houses For Sale 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 Portfolio

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 Software Design, Engineering & Marketing Studio

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

Clients

Startups

Years In Business

Boston Agency

Years In A Row

Get Started on Your Machine Learning Project Today

Brainstorm

Ideate With Us

We’ll jump on a call. Yes, our founders, Andrew and Pavel – not some sales rep.

Tell us about your vision, the company, your data sources, and anything else that can help us know more about you.

We’ll brainstorm with you in real-time and figure out what you need to get your machine learning solution off the ground.
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We’ve built numerous solutions and can tell you all the ways we can bring your idea to life.

Contact Andrew

formulate

Project Scoping

After our first call we’ll sign the NDA’s and bring on our team. Our engineers and data scientists will ask questions to learn more about your business processes, understand your goals, and understand any constraints. We will ask for and review sample data and try to get a grasp about your existing systems. Together we can narrow down what’s feasible and realistic within the context of your larger vision.

proof of concept

Prototyping & Planning

If there’s a good fit, then we’re ready to start work! During the prototyping and planning phase we’ll focus on measuring the predictive ability of your data. Based on our ideas from solution blueprinting, we’ll create a small, achievable prototype that takes 4-6 weeks to build. We’ll assign a team including an engineer, product manager, and project manager that will experiment with your data and make sure we can achieve your goals with the right models. We’ll then build out a roadmap on how to implement machine learning into your business based on data sources, data storage, and machine learning modeling best practices.

Launch

Taking it to Production

From here, we will work to build together based on our agreed upon roadmap. We’ll build the necessary data, training, retraining, and machine learning pipelines that will produce the insights you need and work on performance optimization. Our implementation will focus on creating a user-centric system with the ability to handle real-world workflows that comply with security and regulatory standards. As we move into production we will shift to continuous integration and deployment processes, and ongoing performance monitoring that ensure the system is efficient and reliable in your environment.

TAN RAO, FORMER CTO 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.

See full review

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

Commodities Hub Unified Research For Analysts Using AI

Making More Powerful Lookalike Audiences With Machine Learning

Cymbiotika Uses ML to predict 1000s of Sales

PMI Reduced Self-Assessment Test Time By 80%

Predicting Houses For Sale With 85% Accuracy

ML Development Technologies Stack

An Award Winning Software Design, Engineering & Marketing Studio

Experts

Clients

Startups

Years In Business

Boston Agency

Years In A Row

Get Started on Your Machine Learning Project Today

Ideate With Us

Project Scoping

Prototyping & Planning

Taking it to Production

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.

Have a Project?‍Talk to theFounders Directly

Have a Project?
‍Talk to the
Founders Directly