Capabilities

What gets built. Not a catalog of skills.

Eight capabilities, each delivered by an AI Pod against a committed scope. We list capabilities rather than technologies, because the stack is a delivery detail and the outcome is what you are buying.

The eight capabilities

What each capability is for, what gets built, and one piece of proof you can check. You buy every one the same way: an AI Pod, scoped into a work breakdown, estimated in story points, and priced before the work starts.

Product Engineering

Most first phases hand you scaffolding and call it progress. Yours is a complete loop instead. A user gets in, does the thing the product exists for, and gets a result.

  • Phase 1 is a usable product, never a stub
  • Web, native and cross-platform mobile, and the APIs behind them
  • Estimated in story points before the build starts

Luna went from nothing to a native app in market in three months. FlightLogger tracks over 1,500 airlines and more than 30,000 airports.

Platform Modernization

The system is not broken. Changing it is, and a one-week feature now takes six. We carve the platform into pieces and move them one at a time, behind an interface that does not change.

  • Incremental cutover, so a working system exists at every step
  • Zero-downtime migrations where the business cannot pause
  • A measured before-and-after on your cost of change

Payix arrived with a platform so rigid that creating a new client environment took months. Onboarding time dropped sharply.

Integrations and Data

Anyone can call an API in a demo. Production is what happens when the other system is slow, wrong, or briefly gone. Every integration drifts eventually, so each one ships with a way to catch it.

  • Idempotent operations, so a retry cannot double-charge
  • Reconciliation that finds drift before your customer does
  • Alerting on the business fact, not on the HTTP status

Jamar's store integrates pricing, inventory, payments and product data through STEP, with location-based segmentation for regional pricing.

AI Engineering

A prototype impresses a meeting. Production has to be right often enough to trust. That gap is evaluation, retrieval quality, guardrails, and a cost you can predict before the users arrive.

  • An evaluation set built before tuning, so you can measure a change
  • Retrieval treated as the main lever on correctness
  • Cost per operation modeled before volume, not after

ScopeGen AI turns a client conversation into an estimated work breakdown, which is why your scope can be priced before it is built.

Quality Engineering

Testing at the end is the first thing cut when a date slips. Here the tests come from the spec, written before the build, and they run as a gate on every merge.

  • Scenarios written from the spec, not from the finished code
  • A second author checks the build against the requirement
  • Regression suites that grow with the product instead of rotting

Our teams hold ISTQB and Certified Agile Tester credentials, and the software design and development unit is appraised at CMMI-DEV/3.

Maintenance and Support

Launch is the start of the expensive part. Dependencies deprecate, certificates expire, and volume outgrows an early decision. Handled continuously, that is a small and predictable draw on capacity.

  • A 30 day warranty on delivered software, then a monthly plan
  • Security and dependency upkeep on a schedule, not on an incident
  • Four severities with response targets, agreed before launch

Maintenance is why several of the engagements on our work page have run for years rather than months.

Product Design

A design that cannot be built as drawn is a picture. Design and delivery sit in the same Pod here, so a clickable prototype settles every flow before anyone implements it.

  • Clickable prototypes that settle direction before code
  • Design systems delivered as components engineering can use
  • Research sized to the decision, not to a template

This design work has won Indigo Design Awards for Luna, Nab, Fashioned Health and FlightLogger, including Gold for UX, Interface and Navigation.

Governance, Risk and Compliance

A working product is the easy half. The other half is showing an auditor why your handling of their data is defensible. This work is never story-point priced, because a policy set has no functional scope to count.

  • vCISO, ISMS design, and a risk treatment plan you can act on
  • Penetration testing you authorize in writing first
  • Gap analysis and accompaniment through certification

Fashioned Health was built on HIPAA-ready infrastructure with PCI-compliant payment handling through Stripe. We do not issue certificates, and no development partner does.

Not sure which of these your problem is?

Most work crosses two or three of them, and the split is a scoping question rather than a purchasing one. Bring the problem to a Priority Sync and you will leave with the shape of the Pod that fits it.