Customer and team applications
We build a complete application around a specific job, such as preparing documents, reviewing requests, finding answers, or guiding a customer through a complex decision.
See the application exampleAI software development
AI application
development
We build AI applications for document review, search, drafting, and other tasks. The work includes the interface, data connections, testing, and deployment.
Application development
A document review application, for example, needs to show the original file, let someone correct the extraction, and save the approved record. We build and test that complete process.
For SaaS products, we connect AI features to accounts, tenant permissions, billing, and support. Your team can own the roadmap while we deliver an agreed feature or lead the build.
An engineer works with your users during development, reviews the implementation, and checks the release with your team.
What we build
New products, features, integrations, and prototypes.
AI inside an existing product
We add search, extraction, drafting, or assisted analysis to the interface your users already know, with access controls and a clear way to correct the result.
Explore custom software developmentConnected workflow software
Software that moves a request between the right people and applications. It uses models for interpretation, ordinary code for rules, and approval wherever an action needs judgment.
Explore workflow automationA prototype with a release plan
A working prototype that tests the difficult assumption. We document what can carry into production and what still needs engineering before customers rely on it.
Explore rapid prototypingFrom scope to release
You review the scope, try working versions, and check the release before launch.
Define the release
We walk through the actual task with its users and inspect representative inputs and integration access. Then we agree with your team on how to test success and choose the smallest release worth supporting.
Build and test
We develop the interface and the data connections at the same time. Your team reviews working versions along the way, and we test difficult cases, permissions, failure recovery, latency, and model cost.
Deploy and hand over
We release with monitoring, documented limits, a rollback plan, and a named support owner. Observed failures and user feedback set the priorities for the next improvements.
Focused prototypes can take days. Well-defined production releases can take weeks when access, scope, and decisions are ready. We agree on a schedule after reviewing the dependencies.
Measure completed tasks, quality, and time.
We compare the release with the existing process, including the time people spend on review.
Can more users finish the task without asking for help?
Are fewer outputs rejected, corrected, or escalated?
Does the full workflow take less time, including review?
These are evaluation measures, not published client results. Targets depend on the application and its starting baseline.
Scope and ownership
Access, integrations, and release requirements determine the effort.
Start with an assessmentWhat we need from you
- Access to representative inputs and the people doing the task
- A product owner who can decide scope and review releases
- Known data permissions and an environment for integration testing
What affects cost
- The number of user flows and external dependencies
- Data preparation and the difficulty of evaluating correct behavior
- Security, availability, and post-launch support requirements
Support and maintenance
Before launch, we agree with you who owns application updates, model changes, evaluation cases, incident response, and hosting. We can hand over a documented release or continue within an agreed support scope.
Before you commit to a build
Can you take over a prototype?
Yes. We review the code and try the main tasks with realistic inputs. We then identify what can be kept, what needs repair, and what is missing before release.
How quickly can we see working software?
A focused prototype can take days when the idea, inputs, and access are ready. A well-defined production release can take weeks. Complex integrations, sensitive data, and unresolved product decisions extend the schedule; we establish those dependencies before committing.
Does the entire application need to use AI?
No. Most applications still need predictable rules, forms, databases, and integrations. We use AI where interpreting or generating information helps, and conventional software where it is the more dependable choice.
What keeps a pilot from becoming a dead end?
Testing the riskiest part first. We start with the dependency most likely to prevent a release, such as access to an older system or extraction from poor scans, and we estimate review and operating costs. Those findings help you decide whether to continue before you fund the full build.
How do you evaluate quality?
With examples of the real tasks users need to complete, including cases with missing information and failed integrations. For a document tool, we check both the extracted fields and the record that is finally saved. Sensitive actions may also need a person to approve them.
What happens after launch?
You choose. Your team can maintain the software, or we can continue development and operational support within a defined scope. Either way, the delivery includes agreed ownership, documentation, and release procedures. Support hours and response commitments are agreed separately.
Ready to build?
Bring an idea, a prototype, or an application to improve.
Start a project