Service

Software shaped to the work, not the other way around.

Applications built for one business's actual workflow: internal tools, data pipelines, and AI-assisted automation that earns its place. Not a template configured around someone else's process.

Overviewlive
Open leads
In production
Awaiting invoice
Regional roofingOn track
Senior livingOn track
Telehealth intakeQueued
Read from source · one viewIllustrative
Custom softwareIllustrative panel

Focus

Internal tools, document and data pipelines, and automation.

Internal toolsData pipelinesAutomation
Service
Custom software
Deliverables
Named and scoped below
Bought as
A defined build, or run under management
Ownership
Every account and platform stays in the client’s name
Overviewlive
Open leads
In production
Awaiting invoice
Regional roofingOn track
Senior livingOn track
Telehealth intakeQueued
Read from source · one viewIllustrative
Fig. 01 · Internal tools and dashboardsIllustrative panel

Internal tools and dashboards

One screen for the numbers a team runs on, pulled live from the systems that hold them instead of rekeyed every Friday.

Document pipelineschema-bound
Patient•••• 4821
CodeCPT 99213
Amountextracted
Notesleft blank

Read, extracted, and routed. Anything the model is unsure of stays blank instead of being guessed.

Unreadable fields stay empty by designIllustrative
Fig. 02 · Document and data pipelinesIllustrative panel

Document and data pipelines

Intake reads the document, extracts structured fields, and routes them onward. Manual re-entry stops being a job.

Automationon new lead
1New lead arrives00:00Trigger
2Route by service & value00:01Step
3Text owner in under a minute00:47Step
4Log, tag, and schedule follow-up00:48Check
Runs on arrival · nobody has to rememberIllustrative
Fig. 03 · Automation where it earns its placeIllustrative panel

Automation where it earns its place

A trigger, a few deterministic steps, and a check. AI is used where it removes work, not where it adds risk.

Scope

What gets built.

Internal tools and dashboards
Document and data processing pipelines
AI-assisted automation where it earns its place
API integrations between systems that don't natively talk
DeliverablesScoped in writing before work starts

Outcome

What changes.

Work that lived in spreadsheets moves into software that owns it.

Data has one source instead of five that disagree.

The manual step that broke at scale is gone rather than documented.

Structural changeNo performance figure is claimed

More

The rest of the system.

Start

Start with what's broken.

Send the situation in a paragraph. Strygon comes back with a read on what's likely wrong and what it would take to fix, before anyone talks about price.

Most builds start withleads dying in an inbox., three half-finished pipelines., follow-up nobody owns., numbers that never agree., four vendors blaming each other.

What to send
A paragraph. What broke, and where it shows up.
What comes back
A read on what is likely wrong and what fixing it takes.
Price
The last conversation, not the first

 

By industry

Where this lands, by vertical.

Custom software answers a different constraint in each vertical. These are the reads worth having before scoping one.

The same service, per verticalThe architecture does not change between them