Services

Private engineering, run as a practice.

We work where real files, AI-assisted review, APIs, and infrastructure reliability meet. Access is provisioned per engagement and shared in private workspaces only — there is no public sign-up.

Six things we build and run

Each engagement combines a few of these; none of them are sold as self-service.

eng-ops

Engineering operations

We build and operate backend services, queues, and worker fleets, and we keep them running. Deploys are documented, repeatable, and reversible.

  • Backend services, job queues, background workers
  • Versioned deploys with written notes and rollback paths
  • Capacity, retry, and backpressure handling
ai-data

AI / data artifact pipelines

We run document and data pipelines — OCR, structured extraction, model evaluation, and artifact generation. Each stage emits inspectable artifacts.

  • OCR and structured extraction with confidence scoring
  • Model evaluation loops with held-out review sets
  • Reproducible artifact generation
workspaces

Secure private workspaces

Every project runs inside a workspace-scoped boundary with isolation per project and per environment. Private access only — nothing here is self-service.

  • Workspace-scoped access, isolated per environment
  • Separate staging and production with no shared state
  • Membership tied to active engagements
batch-io

Batch uploads / exports

We handle bulk intake and delivery: upload manifests, validation, previews, and packaged export bundles. Inputs are checked before processing.

  • Upload manifests with validation and pre-flight checks
  • Preview generation before commit; packaged bundles
  • Defined retention windows and scheduled cleanup
observability

Observability / runbooks

We instrument what we run: health checks, structured logs, and synthetic probes that exercise critical paths on a schedule, with written runbooks.

  • Health checks and synthetic probes on critical flows
  • Structured logging and dashboards per workspace
  • Runbooks with rollback and recovery procedures
api-integ

API and integration support

We expose versioned endpoints, deliver webhooks, and connect internal tools to upstream and downstream systems. Contracts are stable and versioned.

  • Versioned endpoints with a change policy
  • Webhook delivery with retries and signed payloads
  • Integrations with internal and third-party tools

Engagement model

How access works in practice.

Access

Provisioned, not self-service

We onboard named collaborators for the duration of an engagement and scope what they can see to the project at hand.

Lifecycle

Scoped to active work

Membership is tied to active projects. Access is reviewed during the engagement and removed when work concludes.

Retention

Retention by default

Each project gets explicit retention windows for uploads, artifacts, and exports, enforced by scheduled cleanup.

Common questions

The things teams ask before a first conversation.

How is access granted?

Access is provisioned per engagement, not through public sign-up. Once a project is active, named collaborators are added to a private workspace scoped to that project. There is no general-access tier and no self-service entry point.

Why does the service move a noticeable amount of traffic?

The work is data-heavy by nature. Uploads bring in source material, pipelines produce artifacts and previews, exports package and ship results, and continuous monitoring — health checks, synthetic probes, API checks — runs around the clock. Together these account for the bulk of sustained traffic, even outside business hours.

How is project material kept secure?

Material lives inside workspace-scoped boundaries with isolation per project and environment. Transport is over HTTPS, access is limited to named members of an active engagement, and we keep only the data a project needs. Real credentials and project materials are never published on this site.

What does a typical engagement look like?

It starts with a scoped problem and real inputs, not a generic roadmap. We prove the hard part first, integrate it into versioned services with monitoring and runbooks, and hand off an operable system with the procedures to run it.

Private access only. If you do not have a workspace, you do not have access. Access is provisioned for active projects after scope and data handling are agreed.