Company

Applied AI Studio

Monogram is an Applied AI Studio based in Atlanta. We design and deploy production AI systems that integrate into how businesses actually operate — connecting models, data, workflows, and enterprise software to automate real work.

How We Started

We started as a web engineering studio in Atlanta, building composable websites and applications for companies like GitHub, Google, Vercel, IBM, and Stanford. That work taught us how to ship production systems at scale, integrate with complex enterprise environments, and deliver under real constraints. 

When AI shifted from research curiosity to operational tool, we moved early — the same instinct that took us from WordPress to headless before the rest of the industry caught up. Atlanta's enterprise ecosystem — logistics, finance, healthcare — gave us the client base to prove that AI systems work in production, not just in demos.

Today, the work is different. Companies don't just need websites — they need systems that think.

We build those systems and make them run
in production. We've shipped:

Internal knowledge assistants for regional banks

Internal knowledge assistants for regional banks

40%

Customer service automation that cut resolution times by 40%

15+

Agentic reporting pipelines for PE firms that replaced 15+ hours/week of analyst work

Multi-channel conversational systems integrated with enterprise TMS and ERP platforms

Team

Meet The Team

24 engineers, designers, and operators — most with backgrounds in production systems, enterprise integration, and cloud infrastructure. The team includes specialists in AI architecture, agent orchestration, knowledge systems (RAG), data pipelines, conversational UX, and decision interface design.

What We Believe

What We Believe

AI is changing what companies need built. The value of production labor — design, development, content — is compressing fast. The new value is in systems that connect intelligence to operations: AI that doesn't just generate, but acts, integrates, and runs.

We work LLMs-first: designing for how intelligent systems reason and act, then layering in the human experience around them. We build with security and data governance as first-class requirements — SOC 2-aligned patterns, HIPAA-ready deployment, role-based access, and audit trails built in from the start, not added at the end. And we ship systems that run — not prototypes, not demos, production.

Partners

Technology Partners

We partner with the platforms where AI systems actually get deployed — not to resell infrastructure, but to build on it.

Google Cloud
AWS
VercelClient + Partner
Pinecone
Hugging Face
LangChain
ElevenLabs
ContentfulPartnerStripePartnerAlgoliaPartnerRasterClient + PartnerShopify PlusPartnerSanityPartner