Taking first projectsCleveland, OH · Area code 216
agentic RAG pipelinesvector embeddingsLLM orchestrationmultimodal copilotsfine-tuned foundation modelsAI transformation
Phone agents, chatbots and getting found by ChatGPT. Built in Cleveland, explained in plain English.
Instead of: End-to-end AI transformation solutions
Examples, not a menu. Most projects start with a problem, not a product.
What the industry calls it: Conversational voice AI with telephony integration and tool calling
Never miss a call again.
It answers 24/7, books appointments, answers common questions and texts a follow-up.
For: Contractors, clinics and small practices.
Call an AI receptionist for a sample painting company. Ask for an estimate, push for a price, try to trip it up. Uses your microphone, 3 minutes max.
What the industry calls it: Retrieval-augmented generation with vector search and human-in-the-loop escalation
Answers from your docs. Hands off the rest.
Trained on your docs, site and catalog. Predictable cost, and I run it for you.
For: Software companies, manufacturers, distributors and associations.
Sample exchanges
We already use Zendesk. Do we have to switch?
No. The chatbot can sit in front of Zendesk, answer what it can, and hand the rest into a ticket with the conversation attached.
What does the voice agent cost?
Pricing depends on what it needs to do, so it isn't listed here. Sam can give you a real number.
Handed to a person.
What the industry calls it: Generative engine optimization with schema markup and citation monitoring
Get recommended when customers ask ChatGPT.
Crawler access, structured data, pages shaped like answers, and tracking who gets cited instead of you.
For: Any business customers find by searching.
What the industry calls it: Model Context Protocol servers with OAuth and typed tool schemas
Connect your systems to Claude and ChatGPT.
Ask AI about your business. Get your real numbers.
Your ERP, database or spreadsheets, usable by the AI tools your team already has.
For: Distributors, manufacturers and software teams.
What the industry calls it: Bespoke agentic workflows and LLM orchestration pipelines
Tell me the problem.
Document extraction, order intake, internal search, workflow automation. If it's AI and it's real engineering, it fits here.
Instead of: Discovery, ideation and agile delivery framework
Nothing goes live until you've approved what it says.
I'll tell you plainly whether AI is the right fix.
A working version on your docs, calendar or systems.
You test it and approve what it says.
And I keep watching it.
Instead of: Our team of visionary thought leaders
Founder, engineer
I'm a software engineer. I build AI systems that run in production every day, and I keep the explanations simple.
I write the code.
Infrastructure & systems
Kevin handles what sits underneath the AI: hosting, databases, access and security.
Instead of: Comprehensive knowledge resources
Straight answers.
It only answers from content you approve, and it hands off to a person when it isn't sure. Wrong answers get engineered out, not covered with a disclaimer.
You do, and it isn't used to train AI models. The specifics go in writing before any work starts.
Keep it. The AI can sit in front of what you already use and hand conversations into it.
It depends on the project. You'll get a clear plan before any work starts.
You keep your data and what was built for you. We agree on the handover up front.
No. 216Labs is based in Cleveland and works with businesses anywhere.
Instead of: Schedule a discovery session with our solutions team
Bring the problem, not a spec.
(330) 604-7380