Custom business applications
Build focused web and mobile software around customer service, administration, reporting, data collection, or a specialized internal workflow.
Custom software and AI
Custom software development in Calgary, built around how your business runs.
CoreData has been a Calgary custom software development company since 2000. We replace fragile manual processes, connect systems that were never designed to talk to each other, and turn hard-won operational knowledge into secure, supportable applications. Deep experience in oil and gas, industrial and healthcare operations.
Solve a specific problem
Use AI where it helps. Keep the important business rules dependable.
CoreData combines custom software, APIs, data engineering, workflow automation, and selected AI services. Deterministic rules remain distinct from probabilistic AI output, with human review where decisions carry meaningful impact.
Workflow automation
Import files, validate records, apply rules, call APIs, route work, generate documents, and produce reporting-ready outputs.
Systems integration
Connect business applications, legacy systems, databases, cloud services, field tools, sensors, and customer APIs through clear service boundaries.
AI-enabled workflows
Use language, vision, and reasoning services to assist people while preserving source data, traceability, permissions, and human oversight.
Where we go deepest
Software for oil and gas, industrial and field operations in Calgary.
Most software companies in Calgary build office applications. The work below happens at well sites, on plant floors and in ambulances, where connectivity is intermittent, the data comes off instruments rather than forms, and being wrong carries an operational cost. This is the part of the market we know best.
Control-systems engineering, 3 weeks to 2 minutes
A CBM well-site integration replaced a manual control-systems engineering process. What took roughly three weeks of specialist time now completes in about two minutes, with the engineering rules captured in software rather than in one person's head.
SAGD datasheets, 4,000 hours to 26
Well pad datasheet creation for a SAGD operator consumed over 4,000 engineering hours. The replacement generates the same output in 26, and produces it consistently rather than to whichever standard the last engineer applied.
Data sync, over $750,000 saved
An automated data synchronisation between systems that previously required manual re-entry returned over $750,000 in savings with a three-month payback. The integration removed the re-entry step entirely rather than making it faster.
Outside energy, the same approach expanded a paramedic quality-assurance review from under 1% of emergency calls to 100%, because the review itself was automated instead of sampled. More detail is on the case studies page, and the industrial side is covered under industrial solutions and oil and gas.
Choosing a software partner
Calgary software development companies: how to compare them.
Calgary software companies range from single contractors to offshore agencies to product shops taking services work between funding rounds. They are not interchangeable, and the points below are the ones that decide whether you end up with something maintainable.
| What to compare | Why it matters | How CoreData does it |
|---|---|---|
| Who maintains it after launch | Custom software is only worth building if it keeps running. A team that disappears at handover leaves you with an asset nobody understands. | The same Calgary team can support the application, and can run the infrastructure under managed IT if you want one accountable group. |
| Domain knowledge | A developer who has never seen a well site will model it wrong, and you pay to discover that during testing. | Two decades in oil and gas, industrial and healthcare operations, including the well-site, SAGD and dispatch systems above. |
| What happens to the source | If you do not own the code and the documentation, you are renting your own business process. | You own the source, the schema and the as-built documentation. Handover is a deliverable, not an extra. |
| Build versus buy honesty | A firm that only builds custom software will always recommend building it. | We run both practices, so the honest answer is sometimes to configure something you already own, or to automate it with Corejob rather than build at all. |
| Integration with what exists | Most operational value is trapped between systems, not missing from them. Greenfield builds miss this. | Systems integration is a core practice: legacy databases, field tools, sensors, cloud platforms and vendor APIs. |
| How AI is actually used | AI applied to rules that must be exact produces confident, wrong answers with no audit trail. | Deterministic business rules stay deterministic. AI assists where judgement helps, with source data, traceability and human review preserved. |
Workflow automation
Already know the process? Corejob Automation can run it for you.
When the opportunity is a defined, repeatable business process rather than a new application, CoreData's Corejob Automation platform puts software bots to work instead, connecting systems and eliminating manual steps.
Explore Corejob Automation →
A growing need
Your first AI-built prototype may be the beginning, not the finished system.
A prototype can demonstrate value quickly. Production software must also protect data, handle failure, manage users, integrate with existing systems, produce useful logs, and remain understandable to the people supporting it.
- Architecture and code assessment
- Authentication, authorization, and secrets management
- Database and API design
- Testing, error handling, monitoring, and deployment
- Ongoing enhancement and application support
Incremental delivery
Prove the business case before building too much.
Begin with one valuable workflow, integrate where needed, measure the result, and expand from a foundation designed to evolve.
Discover
Map the workflow, users, information, exceptions, and desired outcome.
Shape
Define a focused pilot, architecture, integration points, and measures of success.
Build
Deliver usable software in reviewable increments with testing and feedback.
Operate
Deploy, monitor, support, and extend the solution as value is demonstrated.
Common questions
How do you decide when to use AI versus deterministic code?
Deterministic business rules stay distinct from probabilistic AI output, with human review built in wherever a decision carries meaningful impact. AI is used where it genuinely helps, not as a default for everything.
What does custom software development cost in Calgary?
Every build is scoped and quoted individually, because the range is genuine: a single automated workflow and a multi-site operational system are different orders of work. What we can say before scoping is what drives it, which is the number of systems being integrated, how much of the process is exception handling rather than the happy path, and what compliance or audit requirements apply. The first conversation costs nothing: (403) 450-3438.
How long does a custom software project take?
A first working version of a single workflow usually lands in weeks rather than months, because delivery is incremental by design. Larger operational systems run in planned phases with something usable at the end of each. We would rather put a narrow version in front of users early than present a finished system that turns out to model the process incorrectly.
Do you work with industries outside oil and gas?
Yes. Healthcare and emergency services, manufacturing, professional services and construction are all active. The energy work is where the depth is, but the underlying problem, operational knowledge trapped in manual processes and disconnected systems, is the same everywhere.
We already have a defined process: do we need custom software?
If it's repeatable rather than a new application, Corejob Automation's software bots can often run it directly instead, without a full build.
How do you avoid building more than we need?
Delivery is incremental: start with one valuable workflow, measure the result, and expand from a foundation designed to evolve.
We already have an AI prototype: can you take it from there?
Yes. Prototype-to-production work adds what production requires: architecture review, authentication, testing, monitoring, and ongoing support.
Start with the workflow
What does your team know how to do that your software does not?
Bring CoreData a manual process, disconnected system, early prototype, or software opportunity.