Where Our Team Has Delivered
What we build, and what we teach.
Training to grow your team, consulting to find where AI pays off, and delivery teams that build and run the systems. Start with the step that fits.
Training
Hands-on AI sessions for your team, from Claude 101 to agents
Consulting
Find and prove the use case before you commit budget
Custom AI
Purpose-built AI systems for your data and workflows
AI Workflow Automation
Cut manual work out of the processes you already run
AI Support Agents
Always-on voice and text support, logged and auditable
Digital Experience
Websites, e-commerce, and apps with intelligence built in
Research Augmentation
Faster analysis and evidence for research teams
Center of Excellence
Build an internal AI capability your organization owns
How We Work
The ATOM method: Assess, Tailor, Orchestrate, Modernize
Some of what we have built.
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.
Thinking on AI in practice.
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.
Try the work before you talk to us.
We build tools we give away, because the fastest way to show how we think is to let you use one.
EU AI Act Risk Check
Answer ten plain questions and get a report on which risk tier your AI systems fall into, whether you are a provider or a deployer, and what obligations attach. Free, no call required.
Run the checkImageClean
Photos carry hidden data: location, device, timestamps. ImageClean strips it out before an image leaves your hands. Free, and supported by AtomDigit as part of our data-safety work.
Open imageclean.appAI Readiness Assessment
A structured read on how ready your organization is to move AI from pilot to production. Coming soon.
Ready to make AI responsible and profitable?
No obligation. Enterprise confidentiality respected.
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.






































