AI-native software for the work that runs your business.
AdaptX designs, builds, and operates AI systems and the software around them: agents that do real work inside your tools, models grounded in your own data, and infrastructure that keeps all of it private and reliable. Based in Calgary, Canada.
- Read the purchase orderPDF received by email, 3 pages
- Extract line items and terms11 fields, confidence checked
- Match against the ERPVendor, pricing, and open contracts
- Flag what a person should seeOne price differs from contract
- Post the rest, notify the buyerDone. 1 item waiting for review
Four things, done end to end.
Most companies don't need another pilot. They need a system that works on Monday, is still working in a year, and can be handed to their own team. That's the whole job.
Find where AI pays off
A short, fixed-scope assessment of your operations and data that ranks the opportunities by value and risk, and tells you what to leave alone.
Build agents that do the work
Assistants and autonomous agents that read, decide, and act inside your systems, with people approving what matters and a record of every step.
Ground models in your data
Retrieval, fine-tuning, and evaluation on your own documents and records, so answers are specific, cited, and measurably right.
Run it, privately
Deployment in your cloud, on our Canadian or US infrastructure, or on-premise. Monitored, patched, and supported by our team.
Every system we ship is built in layers.
Which means any layer can be swapped without rebuilding the rest. Change a model provider, add a data source, or move clouds, and the work above it keeps running.
Interfaces
Web and mobile apps, assistants in the tools people already use, dashboards
Agents and workflows
Multi-step work with tool use, approvals, and audit trails
Models and retrieval
Frontier and open-weight models, grounded in your documents and data, evaluated continuously
Data and integrations
Pipelines, warehouses, and connections to ERP, CRM, EHR, and the rest
Infrastructure and security
Private deployment, Canadian or US residency, monitoring, access control
Opinions we hold before the first line of code.
Start with the decision, not the model
The useful question is which human decision you want made faster, cheaper, or better. The model is a detail that follows from the answer.
Measure before you trust
Every model ships with an evaluation set built from your real cases. If we can't measure whether it's right, it doesn't go to production.
People stay in the loop
Agents act within limits you set. Anything consequential waits for a person, and every action is logged so you can see what happened and why.
Private by default
Your data trains nothing you don't own. Deployments are designed around your privacy obligations, with Canadian data residency when you need it.
Prefer boring where boring works
A rules engine or a plain regression beats a language model for a lot of problems. We'll tell you when that's the case.
Keep the exits open
Providers change prices and retire models. We build so that swapping one out is a configuration change, not a rewrite.
Platforms we've already built.
Each started as a client problem that no off-the-shelf tool solved. They're supported and updated by us, and can run on-site or in our cloud.
DANT
An adaptive analytics platform that combines your proprietary data with external sources and refines its predictions as new data arrives. Bridge, its API, connects it to the platforms you already run.
Explore DANTInventX
Inventory, traceability, and supply chain control, from purchase orders to delivery scans.
Explore InventXProWise
Projects, time, invoicing, and a client portal, with no per-seat pricing.
Explore ProWiseBuilt for you
When none of these fit, we design and build the system you need, AI-native from the first sketch, and document it so your own team can own it.
Software developmentFrom first conversation to a system your team runs.
Assess
Two to three weeks. We map your operations, data, and the decisions people make every day, and rank where AI earns its keep. You get a written plan.
Prove
One opportunity, real data, a measured baseline. Working software every week, so you can redirect early.
Build
Production hardening: evaluation suites, security review, monitoring, documentation, and training for the people who'll use it.
Operate
Hand it over with everything your team needs, or keep us on to run, monitor, and improve it.
Tell us what you're trying to do.
A thirty-minute conversation with an engineer, not a salesperson. We'll say plainly whether AI is the right tool for it, and what it would take.