NineTwoThree AI Studio
LLM Chatbot Development
NineTwoThree AI Studio builds custom AI products — from LLM-powered chatbots and generative AI agents to computer vision and ML systems — for mid-market and enterprise clients.
About
NineTwoThree AI Studio designs, builds, and deploys custom AI products for established brands and high-growth companies. Founded in 2012 and headquartered in Danvers, MA (with a presence in Boston), their team of 70 Ph.D.-level engineers and Certified Product Managers has delivered more than 150 projects across healthcare, logistics, fintech, manufacturing, media, and retail over 13 years in business.
Their process runs from an initial AI Workshop through engineering discovery, agile development, product launch, and go-to-market execution. They work directly with founders — clients meet with the CEO and CTO before any engagement begins. Named clients include Consumer Reports, FanDuel, SimpliSafe, Experian, NPR, and Everytown, with project budgets typically falling in the $200,000–$999,999 range. NineTwoThree holds the #1 Boston Agency ranking for five consecutive years on Clutch.
What They Do
Conversational AI
Chatbots and voicebots with natural language understanding
AI Knowledge Base: secure chat over internal business data using RAG architecture
Multi-modal conversational experiences for web and mobile
Generative AI & Agents
Autonomous AI agents for agentic workflow automation
AI-augmented workforce solutions
LLM-powered research and data tools (e.g., proprietary chat tool for PRC Macro)
Classic Machine Learning
Predictive analytics and recommendation systems (e.g., Cymbiotika sales prediction, DataFlik real estate)
Anomaly detection and quality-check APIs (e.g., Amerit Fleet repair order scoring)
Computer Vision
Image and video analysis pipelines
Object detection and OCR (e.g., SimpliSafe AI Vision for intruder detection)
On-device AI for mobile (e.g., SWEE AI video movement analysis)
AI for IoT
Edge intelligence for connected devices
Preventative maintenance and smart monitoring systems
AI Workflow Automation
Autonomous agents to streamline daily operations
Copilot automation and Microsoft Copilot services integration
Mobile & Web App Development
Native iOS and Android, Flutter, React Native
Scalable custom web apps with microservices and legacy system integration
AI Go-To-Market
Product launch strategy, channel and partner strategy, performance tracking
Services & Tech Stack
- Custom AI App Building
- RAG Pipeline Development
- Autonomous AI Agents
- AI Workflow Automation
- AI Proof of Concept
Is This a Fit?
Mid-market and enterprise product teams that need a full-lifecycle AI engineering partner — from strategy and discovery through build, launch, and go-to-market — especially in logistics, legal, fintech, healthcare, and manufacturing.
Early-stage startups without defined product strategy or data infrastructure, and companies seeking generic software development without AI at the core.
Ideal Client
CTOs, VPs of Engineering, and Product Leaders at mid-market to enterprise companies in logistics, legal, fintech, healthcare, or manufacturing who are ready to invest $100K+ in a custom AI product.
Track Record
70 specialists including Ph.D.-level engineers and Certified Product Managers; 150+ projects delivered across 13 years; rated 4.9/5.0 across 40+ verified Clutch reviews; ranked #1 Boston AI agency for five consecutive years; 90%+ engineer retention over the last four years.
Common Outcomes
- Reduced repair order review time by 90% using a custom ML quality-check API at Amerit Fleet
- Vectorized 90 years of Consumer Reports data into an AI-powered conversational search product
- Generated millions of impressions with a celebrity AI chatbot (ChuckGPT) for FanDuel
- Increased Experian page views by 4.6x and doubled organic traffic using AI-driven content processes
Notable Clients
Use Cases
Case Studies
Consumer Reports: Vectorized 90 Years of Data Into AI Search with AskCR
Media & EntertainmentChallenge
Consumer Reports needed to make 90 years of product testing and reporting data accessible through a conversational AI interface.
Solution
NineTwoThree built an LLM-powered RAG system, AskCR, enabling users to query the full Consumer Reports archive through a conversational search experience.
FanDuel: Charles Barkley AI-Powered Chatbot Generated Millions of Impressions
Media & EntertainmentChallenge
FanDuel wanted an engaging AI-powered chatbot experience tied to a celebrity persona to drive user engagement.
Solution
NineTwoThree built a Charles Barkley AI chatbot (ChuckGPT) that generated millions of impressions for FanDuel.
SimpliSafe: Designing AI Vision To Stop Burglars Before They Strike
ManufacturingChallenge
SimpliSafe needed an AI computer vision system capable of detecting intruders before a break-in occurs.
Solution
NineTwoThree designed AI vision pipelines for real-time object detection to identify threats proactively.
Amerit Fleet: Reduced Error Detection Time by 90% with a Custom AI Model
LogisticsChallenge
Amerit Fleet's manual repair order quality review process was slow, taking 6–8 hours per order, with high risk of billing errors.
Solution
NineTwoThree built an ML API that scores repair orders for correctness, flags errors with failure reasons, and delivers results in seconds.
Prisonology: Decreased Legal Consultation Time by 90% with AI
LegalAutomated PDF data extraction and legal consultation workflows, reducing consultation time by 90%.
PRC Macro: 10+ Years of Economic Insights Turned Into Instant Answers
Financial ServicesChallenge
PRC Macro needed to make a decade of proprietary political and economic research instantly queryable by clients.
Solution
NineTwoThree built a proprietary chat tool with a new database, data ingest system, prompt development, and model training for web and mobile.
K&L Wines: AI-Powered SKU Matching Saves 14+ Hours Daily
Retail & E CommerceAI-powered SKU matching solution saving K&L Wines over 14 hours of manual work each day.
VSAC: AI App Reduces Financial Aid Comparison Time by 70%
EducationAI-powered application reducing financial aid comparison time by 70% for VSAC users.
Suffolk: Saved Millions with AI Incident Management
ConstructionAI-powered incident management system that saved Suffolk Construction millions through improved safety monitoring and reporting.
SWEE: Increased App Downloads by 304% with On-Device AI
Sports & FitnessOn-device AI video movement analysis app for SWEE Technologies that drove a 304% increase in app downloads.
At a Glance
Location
Danvers, United States
Founded
2012
Team Size
51 – 200Typical Budget
$200,000–$999,999
Timeline
8–16 weeks for initial product build; ongoing retainer teams available post-launch
Delivery
RemoteHybridEngagement
Project BasedRetainerPricing
$100 - $149Client Tier
Mid MarketEnterpriseRegions Served
Northern AmericaLanguages
English
Focus Areas
Industries
Specialties
Verticals
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| Signal | |||
|---|---|---|---|
| Category | LLM Chatbot Development | LLM Chatbot Development | LLM Chatbot Development |
| Location | Danvers, United States | Marlborough, United States | Gdańsk, Poland |
| Team Size | Not listed | Not listed | Not listed |
| Client Tier | Mid Market | Enterprise | Startup |
| Delivery Model | Remote | Hybrid | Remote |
| Typical Budget | $200,000 – $999,999 | Not listed | $50,000 – $199,999 |
| Services | Custom AI App BuildingRAG Pipeline DevelopmentAutonomous AI Agents+2 | Custom AI App BuildingRAG Pipeline DevelopmentAutonomous AI Agents+2 | Custom AI App BuildingAI MVP DevelopmentAutonomous AI Agents+2 |
| Tech Stack | Not listed | AWS BedrockGoogle Vertex AIAzure OpenAI Service+2 | OpenAI APIHugging Face TransformersLangChain |