BaltimoreAI — Practical AI for Baltimore Businesses

Practical AI for Baltimore Businesses

Small Baltimore team. Backgrounds in NIH data science and federal cloud.

We build systems that answer customer questions, process documents, extract insights, and automate workflows. Most of it runs on large language models.

Talk to us
01

We don't build generic chatbots.

02

Your data never leaves your stack without your written OK.

03

Half our intake calls end with "you don't need this."

Where we work

Small & Medium Businesses

Professional services, manufacturers, and trade businesses tired of manual processes and buried paperwork.

Universities & Research Labs

JHU, UMB, Loyola, and other academic institutions with complex datasets and research workflows.

Healthcare & Biotech

Medical practices, hospitals, and scientific organizations handling sensitive information and compliance requirements.

Local Government

City and county agencies looking to modernize records, improve public services, and streamline operations.

What we build

Free 90-min audit

AI Readiness Assessment

We sit down with your team, walk your workflows, and tell you where AI will save time and money. About half our intake calls end with "you don't need this."

PDF · scan · form

Document Processing

Turn PDFs, contracts, and records into searchable databases. Find information in seconds instead of hours.

On-prem deployable

AI Assistant (RAG)

A secure internal chatbot that knows your manuals, procedures, and files. Answers questions instantly. Stays inside your network.

No rip-and-replace

System Integration

Connect modern AI to your existing software: ERPs, databases, and legacy systems.

Always-on

Task Automation

Automate scheduling, follow-ups, data entry, and other repetitive tasks that slow your team down.

What's in the box

Schemas

Pydantic

Keeps inputs and outputs clean enough to grade. If the shape's wrong, the run fails loud instead of quietly lying.

Your model

Your LLM SDK

Claude, GPT, Llama, whatever you're already using. We plug into the SDK you have.

Orchestration

LangGraph

Strings the steps together so we can see exactly where it fell apart, not just that it did.

Graders

DeepEval

Faithfulness, recall, relevance, tool-use correctness. Plus your own checks when the standard ones miss.

Memory

MLflow

Every run kept. Every metric tracked. So you can look back and see what each change actually did.

The power is in knowing.

Civic work

We're available to city leadership, academic institutions, and community organizations for conversations on responsible AI policy, workforce development, and practical implementation.

Send us a message