Clients include
AI-enhanced software, agents, machine learning, fine-tuned and offline AI, built around how your business actually runs.
Most systems combine several of these. All of them are engineered to run in production: secure, monitored and documented.
Web applications, internal tools and decision dashboards where models do the reading, sorting and flagging, and your people make the calls.
Multi-step agents that work across email, documents, databases and APIs, with human approval where the stakes call for it and a full record of every action.
Forecasting, risk scoring, anomaly detection and classification, validated against your history before launch and monitored after.
Open-weight models tuned on your terminology, documents and formats, so they answer the way your experts would.
Models deployed on your own servers, workstations or edge hardware, including air-gapped networks. No data leaves your environment.
Retrieval-augmented (RAG) assistants that answer from your manuals, contracts, records and systems, with every answer cited to its source.
Also: data pipelines, systems integration, model evaluation, and ongoing operation of everything we ship.
From a single prototype to a phased program, scoped alongside your security, IT and contracting teams.
Open a folder to see some of the problems we take on.
Flag the appointments, orders or bookings most likely to fall through, early enough to act.
Score open invoices and claims by how likely and how late they'll pay, so collections start in the right place.
Predict which assets are likely to fail next from maintenance history and sensor data.
Forecast demand by item and location so purchasing and staffing match what's coming.
Catch transactions, claims or readings that don't fit the pattern before they cost money.
Rank which customers are at risk and which leads are worth the next call.
Pull terms, renewals and deadlines out of every agreement and surface them in time to act.
Read incoming invoices and POs, match them to records and route exceptions to the right person.
Answer questions from manuals, procedures and maintenance logs, with the page cited.
Capture how your experts work and make it answerable for the whole team.
Collect, check and organize the documents an audit or inspection asks for.
Draft responses from your past proposals, past performance and the requirements in front of you.
Read shared inboxes, sort by request type and send each item to its owner.
Move information between systems that don't talk to each other, with a check on every record.
Send confirmations and status updates the moment something happens, so customers stop calling to ask.
Match jobs, people and equipment, and reshuffle when plans change.
One view of what's moving, what's stuck and what needs leadership, pulled from meetings, email and systems.
Every deal's stage, documents and next step in one place, with nudges when something stalls.
AI that runs on networks with no internet connection, deployed and updated on your terms.
Open-weight models hosted on your own servers, so prompts and data never leave.
Models that run on laptops, rugged hardware or vehicles where connectivity is limited.
Healthcare, financial and controlled information handled under the rules that apply to it.
Models fine-tuned on your terminology and formats that you own and run yourself.
Every AI action and answer logged, reviewable and traced to its source.
Senior people. Direct access. You work with the people designing and building your system. No account layers, no junior handoffs.
Before we build anything, we learn the operation: the people doing the work, the data behind it and the environment it has to run in. That is the difference between AI that demos well and AI that holds up in daily use.
We built Foundry NX on one principle: the people who understand your business should be the same people building your systems.
From a single model to a full platform. We reply within 24 hours.
or email arty@foundrynx.com
The ones we hear most.
AI-enhanced software, AI agents, custom machine learning models, fine-tuned language models, offline AI and the data pipelines behind them. Most projects combine several of these into one system.
Yes. We deploy to your cloud, your own servers or edge hardware, including air-gapped networks with no internet connection. Open-weight models can run entirely inside your environment, so no data leaves it.
We build inside your systems wherever possible and don't keep your data outside the project. Sensitive, regulated and controlled data is scoped from day one, including BAAs where relevant, and nothing is sent to outside AI services without your written approval.
You do. Source code, trained models, fine-tuned weights and documentation are delivered to you.
Every project is scoped and priced before work starts. Larger systems are delivered in phases, each ending in working software, so progress is something you can use, not a report.
Healthcare, media and entertainment, distribution, finance operations, nonprofit and professional services. The common thread is work that runs on documents, data and repeated decisions.