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SERVICE 05/06

AI Solutions & Intelligent Automation for Colorado Businesses

AI-powered platforms, machine learning, and intelligent automation that turn your data into measurable business outcomes.

▸ BOOK A CONSULTATION
▸ WHAT'S INCLUDED
Custom ML models & pipelines
Workflow & document automation
On-prem AI search & assistants
Voice & conversational AI agents
▸ HOW WE WORK
01
Scope
We identify where AI creates real, measurable leverage.
02
Prototype
A working model proves value before full investment.
03
Deploy
Production-grade rollout integrated into your systems.
04
Improve
Ongoing tuning as your data and needs evolve.
★ STACK ★
TensorFlow & PyTorchHugging Face TransformersOpenAI & ClaudeLocal LLMs (Llama, Mistral)LangChainVector databases (Pinecone, Weaviate)MLflowAWS SageMaker / Azure ML
▸ MORE INTEL
On-premise AI vs cloud AI FATHOM — on-prem enterprise search FleetAI — AI freight quoting Clinic cut denials 85% with local AI Agentic AI in the enterprise

Frequently asked questions

What kinds of AI solutions does Eboxlab build?

Custom AI platforms — RAG document search, AI voice agents, predictive analytics, computer vision, and intelligent automation — engineered around your workflows and deployable in the cloud, on-premise, or fully air-gapped.

Can AI run on-premise or air-gapped?

Yes. We deploy local LLMs (such as Ollama or LM Studio) with no external cloud API calls, so regulated organizations in law, healthcare, and finance keep sensitive data entirely in-house.

Do we need a large dataset to get started?

No. Using retrieval-augmented generation we work with the documents and records you already have, and we typically start with a focused pilot before scaling.

How long does a typical AI project take?

Most builds run about three to four months from discovery to production; we scope a pilot first so you see value early.

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Data Management
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Expert IT Support
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Information Security