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Responsible AI and automation for the enterprise.

AI is easy to start and expensive to run. We build systems that hold up at scale: fiscally disciplined, data safe, and governed from day one.

Where Our Team Has Delivered

  • VMware logo
  • Marriott logo
  • McDonald's logo
  • IHG logo
  • Timberland logo
  • Hitachi logo
  • The Peninsula Hotels logo
  • Morgan & Morgan logo
  • AstraZeneca logo
  • J.P. Morgan Chase logo
  • REI logo
  • US Foods logo
  • GameStop logo
  • Plaid logo
  • Alcon logo
  • Corteva logo
  • Uniqlo logo
  • Gerber Life Insurance logo
  • Trimble logo
  • National Veterinary Associates logo
  • Pushpay logo
  • Konica Minolta logo
  • Fifth Third Bank logo
  • Extended Stay America logo
  • NCMEC logo
  • Apartment Finder logo
  • Samsung logo
  • Coca-Cola logo
  • Lenovo logo
  • US Bank logo

What you get in every engagement.

  • Fiscally responsible by design

    You will know what every workflow costs before we build it, and the number still makes sense when usage grows. We model the payback period before you commit, and if it does not clear inside a year we will say so.

  • Data governance built in

    Your data stays yours. Residency, retention, and privacy get designed in before any system touches production, to the standards regulated environments already hold you to, including GDPR and HIPAA. Every action is permissioned and every interaction is logged, so an auditor can trace who did what, when, and on which record. When the data cannot leave your building, we deploy on-premise.

  • Vendor-neutral stack

    We have no reseller margin, no platform quota, and nothing to protect. We work across the AI models and the composable platforms, and we will tell you when a simpler tool beats the one we would rather build with.

  • You own everything we build

    The code, the documentation, and the knowledge transfer are yours. Your team can run it, extend it, and hand it to someone else without calling us.

  • We stay after go-live

    Every engagement includes forty-five days of free bug support and user adoption training for your team. After that, we monitor, retrain, and hold to defined SLAs, with a named contact who already knows your environment.

  • Systems people actually use

    We train the people who will use the system, and adoption is scoped into the engagement from day one. The rollout is done when your team runs the system on real work.

The Stack

The models and tools we build with.

Model and platform choices follow the business need, the data requirements, and the running cost. Vendor-neutral, always. If your platform is on this list, we have worked with it.

AI models

  • Claude
  • OpenAI GPT
  • Gemini
  • Llama
  • Mistral
  • Gemma
  • Qwen
  • Whisper
  • DALL·E
  • Stable Diffusion

AI and machine learning

  • PyTorch
  • TensorFlow
  • Hugging Face
  • LangGraph
  • LangChain
  • Temporal
  • Ray
  • MLflow
  • Weights & Biases
  • NVIDIA
  • Ollama
  • vLLM
  • PostgreSQL + pgvector
  • Redis
  • Pinecone
  • Weaviate
  • Milvus
  • Qdrant
  • MongoDB
  • Elasticsearch
  • Apache Kafka
  • Apache Airflow
  • Snowflake
  • Databricks
  • BigQuery

Composable platforms

  • Contentful
  • Contentstack
  • commercetools
  • Storyblok
  • Sanity
  • Uniform
  • Amplience
  • Kontent.ai
  • Builder.io
  • Strapi
  • Payload
  • Prismic
  • Directus
  • Algolia
  • Coveo
  • Constructor
  • Cloudinary
  • Bynder
  • Akeneo
  • Salsify
  • inriver
  • Webflow
  • BigCommerce
  • VTEX
  • Elastic Path
  • Commerce Layer
  • Medusa
  • Bloomreach
  • Fluent Commerce
  • Talon.One

Commerce, CMS, and DXP

  • Shopify
  • Adobe Commerce
  • Salesforce Commerce Cloud
  • SAP Commerce Cloud
  • WooCommerce
  • Shopware
  • Spryker
  • Adobe Experience Manager
  • Sitecore
  • Optimizely
  • WordPress
  • Drupal
  • Umbraco
  • Kentico
  • Joomla
  • Wix

Enterprise systems we connect to

  • Salesforce
  • Microsoft Dynamics 365
  • ServiceNow
  • SAP S/4HANA
  • Oracle NetSuite
  • Workday
  • HubSpot
  • Zendesk
  • Intercom
  • Jira
  • Stripe
  • Adyen
  • Twilio
  • Zapier

Cloud and infrastructure

  • AWS
  • Azure
  • Google Cloud
  • Vercel
  • Netlify
  • Cloudflare
  • Docker
  • Kubernetes
  • Terraform
  • Supabase

Languages and frameworks

  • Python
  • TypeScript
  • Java
  • React
  • Next.js
  • Node.js
  • FastAPI
  • n8n

All product names, logos, and brands are property of their respective owners. Listing here does not imply endorsement or partnership.

Ready to make AI responsible and profitable?

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Frequently asked questions.

What does AtomDigit do?

AtomDigit is an enterprise AI and automation firm. We train teams, find where AI pays off, and design, build, and run AI systems responsibly: fiscally disciplined, data safe, and governed from day one. That spans custom AI, workflow automation, support agents, digital experience, and research augmentation.

How can AI benefit my business?

By automating complex workflows, improving decisions, and lifting customer and employee experiences. The results that last show up in the operating budget: lower cost per task, faster cycles, and coverage that does not scale with headcount. We build where AI operates reliably and pays for itself, not where it only demos well.

Where does my company start?

With the easiest step that fits. Teams new to AI start with Training. Organizations that want evidence before budget start with Consulting, a structured assessment that proves the highest-value use case with a working system. Organizations with a defined problem go straight to the offer that solves it.

How is AtomDigit different from a consulting firm or an agency?

Consulting firms advise. Agencies build to a brief. We do both, and we are accountable for what happens after go-live: running costs stated up front, governance your auditors can check, and full code and documentation ownership transferred to your teams.