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Engineering

Sheet
A-100
Set
Practice
Status
Issued

Senior engineers. Multiplied by AI.

We build, integrate, modernize and harden software for teams that need real engineering capacity, not a headcount number. Engineers architect and decide, a multi‑model AI system does bounded implementation at speed, and every change is independently reviewed before it ships.

Discuss your project

A-100PracticeIssued

Two senior engineers reviewing a pull request together on a large monitor in a daylit studio.

Where each service lands

One system, six kinds of work.

Most engagements touch more than one layer. We scope by layer so you can see exactly what we will and won't change.

Service map Five layers of a production system, marked with the services that work in each: product engineering in front end and API; platform in API and data; integrations; modernization and remediation in the data and logic layers; QA and release engineering in the pipeline. Front end & product 01 API & business logic 01 02 05 Identity, tenancy, data 02 04 05 Integrations 03 Pipeline, tests, releases 06 Service map Five layers of a production system, marked with the services that work in each: product engineering in front end and API; platform in API and data; integrations; modernization and remediation in the data and logic layers; QA and release engineering in the pipeline. Front end & product 01 API & business logic 01 02 05 Identity, tenancy, data 02 04 05 Integrations 03 Pipeline, tests, releases 06
Fig. 4Numbers match the services below

Services

01

Product engineering

Full-stack builds from a defined scope: APIs, data model, front end, and the operational pieces a prototype usually skips, like auth, background jobs, email and payments.

02

Platform & backend

Multi‑tenant architecture, identity and permissions, event-driven services, and data platforms that isolate customer data in the database itself, not just in application code.

03

Integrations

Third-party APIs, webhooks with real idempotency and retries, file and EDI interfaces, and domain standards where they apply: HL7/FHIR and NCPDP SCRIPT in healthcare, IDX and RESO in real estate.

04

Modernization

Re-platforming and migration with a rollback path, not a rewrite for its own sake. Before we change an existing system, we work out what depends on how it behaves today.

05

Remediation

Security, data-integrity and reliability fixes for systems already in production, whether AI‑built or not. The AI-specific version is Prototype to Production.

06

QA & release engineering

A test strategy matched to how the software actually fails, plus CI/CD and environment parity, so a passing test means what you think it means.

Rows of server hardware with status lights in a dim data hall.

Built to run

Production is the deliverable, not the demo.

Auth, background jobs, observability, migrations with a way back, CI that means something. The unglamorous systems get the most care, because they are what fails at 2 a.m.

How we scope work

You know the team, the price and the boundaries before we start.

Pricing
Fixed price and fixed scope for defined work. Discovery, when it's needed, is bounded and priced up front too.
People
We name who is doing the work and who makes decisions. Oracis is U.S.‑based, with U.S. and international engineers, and we tell you where the work happens.
Access
You get access to the repository and CI from day one, and the work lives in your systems.
Not promised
No compliance certifications today; see Security for what we do instead. No BAA signed without reviewing the engagement first.

Tell us what you're building.

Scope, stack and timeline. An engineer reads it.

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