Generative AI
‍Development Services

We’ve been developing AI and Machine Learning apps since 2017 and have launched almost 10 Large Language Model apps. Our team knows how to control hallucinations and build enterprise grade apps.

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Trusted By

WHY NineTwoThree

We control bots to stop hallucinating with your data.

It’s fun to play with chatbots, but can they actually help your business? Our dedicated team of researchers, Ph.D-level engineers and developers build massive systems that are trained on your data. We know how to generate reliable, predictable results for your employees and customers.

Work with the Top-Ranked AI Chatbot Firm In Boston

Ranked by

Work with the Top-Ranked
AI Firm from Boston

why us

We Build Custom Large Language Models Based on Your Data, Brand and Beliefs.

The best LLMs use an organization's data to act like another employee. Our team of AI consultants create a strategy to build a trusted platform that only outputs approved content and tasks. From having AI respond to social comments to doing repetitive tasks, we make sure your LLM will be cost-effective, fast, and accurate with responses.

Fine Tuning

Allows you to use smaller and less expensive models to achieve the same results or increase the accuracy of an existing model.

Agents

A LLM needs tools to perform tasks like asking what the current weather is, or searching your CRM. We design and deploy agents to perform these tasks on command - thus improving accuracy of responses that were previously coming in as “not possible.”

Knowledge Base

You want the responses to be grounded in your own data. We help you build the knowledge base to provide the model with relevant and accurate information.

Prompts

Prompts are a tool we use to guide the model in the direction that is benificial for the brand. It can help control costs, increase accuracy, and improve latency.

Guardrails

There are many things the model can do, however there are many things you DO NOT want it to respond. We help steer the conversation back towards the goal of the model.

Cache

Customers will ask the same question over and over. We can manage similar responses without incurring cost thus reducing the latency of responding to your customers.

Power Politics

We manage the political message of a top political candidate on social media. Our chatbot responds with on-message talking points in real-time

Innovative Insurance

With requirements of 95% accurate and knowledgeable responses, Insurance companies make millions from our chatbots.

Maintenance Madness

Maintenance
Madness

We’re helping auto facility centers chat with their quality control instantly and with precise knowledge.

Mindful Mentor

Our ChatGPT bot that responds better than humans.

Relevant Reviews

We’ve partnered with a top product review site to make discovering relevant reviews a snap.

Legal Liaisons

We created a chatbot that can read and reason legal documents to generate a security scorecard.

Human Resources Candidate Chat

Human Resources
Candidate Chat

We built a semantic search engine for a large United States Human Resource company to interview candidates using chatbots to determine qualifications and culture fit.

Tyrus Garrett, CEO of Dataflik

Thanks to the algorithm that NineTwoThree Venture Studio has helped us construct, we predict accurately about 60%–70% of home sales. We’re one of the top five companies in the industry. We’re pretty happy with that, and it gets better every month.

See full review

We Build Systems Based on
Your Knowledge Base

Businesses hesitate in using Large Language Models like ChatGPT due to their inaccuracies and hallucinations. Read our case study that explores how Retrieval Augmented Generation addresses these issues by leveraging an organization’s existing knowledge and giving source links to information that can be verified by the end user.

View RAG Case Study

Designing AI Vision To Stop Burglars Before They Strike

Simplisafe launched an AI Crime detecting security camera. NineTwoThree designed a mobile app around their AI powered alerts and real-time motion detection to inform Agents of intruders before they strike generating additional revenue streams and increased product sales.

Learn more about SimpliSafe

Designing AI Vision To Stop Burglars Before They Strike

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.

Learn more about Protect Line

Protect Line Saves $Millions Using GenAI Chat for Customer Service

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.

Learn more about Prisonology

Prisonology Decreased Legal Consultation Time by 90% with AI

Use Chatbots to Transform Your Business

From screening incoming customer queries to helping your customers get research done, we know how to build chatbots that improve efficiencies to add more to your bottom line. You don’t need to hire an internal team – work with experts who specialize in using your data to build new workflows into existing systems.

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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.
‍
4 months experience with NineTwoThree

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.

7 months of experience at NineTwoThree
‍
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.
‍
10 months experience with NineTwoThree

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.
‍
1.5 years experience with NineTwoThree

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.
‍
1.5 years experience with NineTwoThree

Come on the journey with us

Our 6 Step Playbook

Discovery Call

Assessment and Opportunity Identification

NineTwoThree will meet over the phone to assess the current digital state of your company to uncover areas in which AI could be adopted. We work with your stakeholders to understand what KPI we will measure success by. Are we saving costs? Predicting Sales? Reducing Headcount? We need to know the “why” to predict the “how.” We’ve built 150 projects for 75 clients and the ones that have succeeded knew this answer BEFORE they started.

plan

Strategic Workshops

We will meet your stakeholders in person or virtually and leverage our AI Strategy Framework to prioritize initiatives and drive digital transformation. The goal of the workshops is to define clear objectives, metrics, and implementation plans to guide the enterprise's AI journey effectively.

Understand

Data Discovery & Understanding

Our data scientists and ML engineers will analyze your data samples and meet your Engineering team and Subject Matter Experts to make sure we can find important information in your files. We understand the importance of security, apply user permissions, and ensure privacy at all costs.

EXPERIMENT

Prototyping

NineTwoThree will start running rapid experiments to prove that AI can solve the proposed problem with the current data. The insights gathered from this testing will be reported to the domain experts to understand if the machine can properly interpret the results. Through this iterative approach we begin to discover what is possible - and what is hard.

DEVELOP

Workflow Analysis & Scoping

After determining that your dataset is workable and has predictive powers we collaborate with the stake holders on how AI can be integrated to 80% of the current workflow. We will define the remaining 20% to a later sprint.

REPORT

Technical Report & Milestone Planning

Finally, we gather what we have learned together over the last few weeks and summarize our findings in a technical report. We will prepare a roadmap laying out the proposed development phases of the project with timelines, milestones, and ballpark costs.

This very detailed analysis ensures you (and your stakeholders) that the project has potential to communicate the budget. We tie our findings into YOUR KPIs to ensure that the project can gain funding..

Previous NineTwoThree AI Strategy Reports have been used to raise $15 Million dollars for one client, fund a project that returns $375k per month on a $125k initiative, and solves for one of the most challenging political integrations to date. It has extreme value. Call us today.

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