Custom AI Development Services to Power Your Next Product

We’ve built AI that handles over 1,000 user queries a day at FanDuel, cuts error review time by 50% for Amerit Fleet, and automates legal intake and case prep at Prisonology.

Ready to see what AI can do for you?
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Trusted By
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What AI Software Development Services We Offer

Conversational AI

What we build:
Chatbots, voice assistants, internal support agents, and “talk to your data” tools that respond in real time — powered by large language models and grounded in your actual knowledge base.
Who it’s for:
Companies with growing support needs, internal knowledge silos, or time-consuming search processes.
What it solves:
Inconsistent support quality
High response times
Poor knowledge access
What you get:
A reliable AI assistant that delivers accurate answers instantly — across your helpdesk, CRM, or internal tools.

Generative AI

What we build:
Embedded copilots and task agents that generate content, summarize documents, recommend actions, and support decisions — without leaving your app or tool.
Who it’s for:
Teams ready to automate repetitive work, support employees with AI, or add generative capabilities to their product.
What it solves:
Manual bottlenecks
High-volume content or data tasks
Unscalable internal tools
What you get:
A helpful, secure AI that works alongside your team to boost productivity and reduce operational drag.

Classic Machine Learning

What we build:
Predictive models, scoring engines, classification tools, and recommendation systems trained on your historical data.
Who it’s for:
Data-rich companies seeking smarter decisions, forecasting, personalization, or risk detection.
What it solves:
Missed trends and patterns
One-size-fits-all product behavior
Gut-based decision-making
What you get:
An intelligent layer that turns raw data into actionable insights — in real time.

Computer Vision

What we build:
AI systems that can see — analyzing images, video, or documents for tasks like detection, classification, and automation.
Who it’s for:
Industries like logistics, healthcare, security, or retail with high volumes of visual data.
What it solves:
Manual inspections
Image-based errors
Inconsistent visual workflows
What you get:
Automation that understands visual input, reducing effort and improving accuracy at scale.

AI For IoT Applications

What we build:
Predictive maintenance, anomaly detection, and smart monitoring systems using live sensor data from connected devices.
Who it’s for:
Industries with physical infrastructure — like automotive, fleet management, smart home, and manufacturing.
What it solves:
Reactive maintenance
Unpredictable device behavior
Lack of visibility
What you get:
Smarter, data-driven systems that act before something goes wrong — saving time and cost.

AI-Enhanced Mobile Apps

What we build:
Cross-platform or native mobile apps with AI built in — including chat features, personalized flows, or automated tasks.
Who it’s for:
Product teams building consumer-facing or internal mobile apps with advanced UX.
What it solves:
Static interfaces
Friction in user flows
Poor engagement or task completion
What you get:
A sleek mobile experience that adapts to users, feels modern, and works smarter.

AI-Powered Web Platforms

What we build:
Web-based CRMs, dashboards, admin panels, or client portals with embedded AI logic for smarter operation.
Who it’s for:
Companies launching new tools or modernizing legacy systems.
What it solves:
Fragmented processes
Outdated UI or logic
Lack of intelligent features
What you get:
A scalable platform that automates, recommends, and improves user productivity." text should be printed in the "AI-Powered Web Platforms

AI Workflow Automation

What we build:
AI-powered automations that take over repetitive tasks — syncing tools, analyzing data, filling forms, and routing requests.
Who it’s for:
Operations, HR, finance, or support teams overwhelmed by manual processes.
What it solves:
Time-wasting workflows
Human error
Tool fragmentation
What you get:
A smarter, smoother internal system that saves hours per week and boosts team performance.

Go-To-Market For AI Products

What we build:
Strategic plans for launching AI-powered products — from positioning and messaging to growth strategy and early traction.
Who it’s for:
Founders or product leads launching an AI-first app, tool, or platform.
What it solves:
Weak differentiation
Lack of go-to-market clarity
Missed revenue opportunities
What you get:
A practical launch and growth strategy that connects your tech to the right users.

AI Development Technologies Stack

Foundation Models
open-ai
OpenAI
claude
Claude
gemini
Gemini
Meta_Platforms_Inc
LLaMA
mistral
Mistral
bedrock
Bedrock
cohere
Cohere
stability-ai
Stability AI
perplexity
Perplexity
Vector Databases
LangChain
LangChain
llamaindex
LlamaIndex
TensorFlow
TensorFlow
transformers
Transformers
Keras
Keras
Scikit_learn
scikit-learn
pytorch
PyTorch
huggingface
Hugging Face
SpaCy
SpaCy
AI Frameworks
Pinecone
Pinecone
AWS Vector
AWS Vector
FAISS
FAISS
chroma
Chroma
qdrant
Qdrant
pgvector
Bedrock
Computer Vision
OpenCV
OpenCV
pytorch
TorchVision
Tesseract
Tesseract
Azure OCR
Azure OCR
Textract
Textract
GPT Vision
GPT Vision
Monitoring & Assistants
Langfuse
Langfuse
helicone
Helicone
open-ai
ChatGPT
claude
Claude
AugmentCode
AugmentCode
Object Detection
YOLOv
YOLOv8
YOLOv
YOLOv11
Detectron
Detectron

What it’s like to build custom AI solutions with us

Tyrus Garrett, CEO of Dataflik

The biggest difference marker is their knowledge. The team that supports and executes the implementation has vast knowledge and experience. Moreover, the founding staff is a treasure trove of insight, and everyone is incredibly strong at implementation.

tyrus-review
WILLIAM HESS, CO-CEO & HEAD OF RESEARCH AT PRC MACRO

The project management team was on top of every phase of development and maintained detailed notes and weekly objectives that were always available for our team to reference. Everything was delivered on time; their experience allowed for the inclusion of refinements along the way.

prc-macro-review
Hyde harper, executive producer at fanduel

The most impressive thing about 923 was their versatility and breadth of knowledge about an industry that FanDuel is not well informed on. Outside of the critical tasks initially scoped for this project, 923 consulted on strategy for: statistical monitoring, social media marketing, technical handoff. They always had a distinct POV on why we should make decisions a certain way. They have a well-rounded group that works hard day in and day out with a smile on their face.

fanduel-review
JAck flora, product manager at amerit fleet solutions

The 923 team was fantastic to work with and taught me a lot about ML and AI. The team was patient while we worked through solutions to help them and always delivered on time. This was our first step into AI/ML and we have learned a lot to set us up in the future.

amerit-review
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Andrew Amann, CEO of NineTwoThree AI Studio

Not sure which AI development service fits your product?

Book a free consultation with our founder: no pitch, just honest advice on how (and if) AI can help your team.

See Our AI Software Development Services in Action

Contently

Decreased Writing Time by 10x and Increased Search Traffic by 14x

Contently needed a way to scale content production without sacrificing brand voice, accuracy, or editorial workflow control.

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.

FanDuel

Increased Brand Engagement with a Charles Barkley AI-Powered Chatbot

FanDuel partnered with NineTwoThree to enhance its marketing campaign featuring Charles Barkley by developing "Chuck AI," an interactive chatbot designed to extend the commercial’s entertainment value into a digital experience.

Amerit Fleet

Reduced Error Detection Time by 90% with a Custom AI Model

Amerit Fleet partnered with NineTwoThree to create a robust AI-powered error detection system for mechanic service documentation. In Phase 1, NineTwoThree built a machine learning model to predict errors in repair orders (ROs), reducing error detection time by 90%. In Phase 2, a real-time reasoning system was added to provide mechanics with actionable explanations, making it easier to resolve issues and prioritize high-risk records. This end-to-end solution streamlined error management and improved overall operational efficiency.

Consumer Reports

Next Generation Conversational AI

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. NineTwoThree helped design and implement the system alongside CR’s engineering and product team.

Protect Line

Protect Line Saves $Millions Using GenAI Chat for Customer Service

Protect Line wanted to reduce costs and improve their online chat experience, NineTwoThree built a GenAI Chatbot that improved sales efficiency creating $5,000,000 of additional Revenue.

Rank Logic

Improving SEO Content With AI And Dashboards

Rank Logic, founded by Spencer Haws, is a keyword and content-tracking plugin made for WordPress. The tool allows users to track new SEO strategies, including which author performs better, understand page-level metrics, and optimize content based on best practices. This is the ideal tool for bloggers, niche site creators, and anyone who has a content-heavy website.

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.

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.

Prisonology

Prisonology Decreased Legal Consultation Time by 90% with AI

Prisonolgy needed a venture partner to grow operations. NineTwoThree created an AI model that reduced consultation time by 90% using reasoning tactics in OpenAI and increased sales 2x in 4 months.

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.

Mental Health Company

Built an AI Chat with a 4.7/5 Human Rating

NineTwoThree developed a conversational AI for a mental health company that expedites connecting individuals with certified professionals for ESA Letters

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.

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OUR APPROACH

What The AI Solutions Development Process Looks Like With NineTwoThree

1
Discovery

Get A Ballpark

Meet with the founders, your product manager, and the AI engineers BEFORE the engagement begins. Our goal is to focus on how to get your decision makers to the magic moment with AI.

Don’t know where to start? Check out our workshop for $8,000
2
strategy

Product  & Engineering Strategy

All AI projects are about teamwork and collaboration. We quickly get into the data and determine what is possible - then develop a strategic roadmap tailored specifically to your goals.
3
DEVELOPMENT

Custom Product Development

We set up agile project management boards and build an end-to-end product in just a few months.
development
Initial Product Launch
4
Go LIVE

Initial Product Launch

AI products are only successful with methodical implementation plans. Often, this involves internal stakeholders taking over the code and the consulting. We train your workforce to operate and manage the AI product.
5
Marketing

Go-to-Market

Even the best AI products can fail without the right marketing. Building a great product is only half the battle—getting your ideal customers to use it is the real challenge.

That’s where a strong Go-To-Market (GTM) Strategy comes in. At NineTwoThree, we combine cutting-edge Product Marketing and Growth Marketing so your AI product doesn’t just launch—it thrives.
marketing

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.
Martin
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.

CERTIFICATIONS
• Codecademy – Artificial Intelligence Course
Marius
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.
Data-scientist-Oleksii
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.
Data-scientist-Jurgis
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.
Data-scientist-Vitalijus
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