Custom software · Cloud · Workflow automation · AI integration

We build thesoftware youroperations run on.

We build software for the work between your systems: checking records, reviewing evidence and getting a decision approved. Start with one workflow, with the inputs, integrations and acceptance checks agreed before we build.

Describe one workflow Selected work
Try a sample reviewBuilt-in examples of approve, block and hold. Runs in this page.

Illustrative rules: approve a match, block a violation or hold an item for review.

What we build.

Software for billing reviews, document search and cloud operations, with image analysis and applications for web, mobile and Mac.

Selected implementation examples

Selected work.

Three application workflows you can inspect. Each example identifies its data, availability and current scope.

Invoice reconciliationSynthetic pilot

ShiftClarity

From billing exports to a review your team can act on.

Challenge
A rate change can be approved while an invoice still uses the old rate. Completed shifts can be missing from billing, and incomplete records make the difference hard to verify.
What we built
Compare CSV or Excel exports of approved rates, work and invoices. Review potential underbilling and overbilling beside the source records, then download an evidence report.
How it works
Confirm file mappings → compare the records → review the difference → export the evidence. The private synthetic pilot adds separate rate approval, saved periods, assigned follow-up and verification of corrected invoices.

Try authorized, minimized exports in your browser without signing in or uploading records. This capture uses fictional files; amounts are potential differences, not collected funds. Persistent cloud access is invite-only and limited to synthetic evaluation.

Test your billing exports (opens in a new tab)View a sample report Request pilot access
ShiftClarity live browser-local evaluator using fictional files: $460 potential underbilling, $24 potential overbilling, six of eight shifts checked and two coverage gaps.
Live application capture · fictional files; browser-local evaluation
Infrastructure reviewPublic demo

TerraGate

Review infrastructure changes before they merge.

Challenge
A Terraform plan can open a production database to the internet in a single line that reviewers miss in a long diff.
What we built
A review workspace that checks every plan against policy, shows the evidence behind each finding, and records approvals and time-limited exceptions.
How it works
Deterministic policy rules, evidence-linked findings and review decisions. GitHub writes are mocked and plan artifacts are ephemeral in this public demo; v2 AI review is not deployed here.
Open the demo (opens in a new tab)
TerraGate review of a sample Terraform plan with a critical risk score, severity breakdown, AWS cost delta and an approval bound to the reviewed commit.
Sample Terraform plan, public demo
Decision intelligencePublic demo

PursuitDesk

Decide which pursuit deserves the next capture hour.

Challenge
Client readiness, opportunity signals and source records are scattered across documents, making a go/no-go review hard to follow.
What we built
A decision room that brings client readiness, opportunity signals, source records and risk into one go/no-go review.
How it works
Client-fit signals, source records, a recorded advisor decision and proposal drafts. Tenant JWT enforcement and billing are not active in this shared workspace.
Open the demo (opens in a new tab)
PursuitDesk advisor workspace with a sample client profile, filtered pipeline and a decision room showing evidence, risks, next best action and a P-win range.
Sample client profile, public demo

Behind the interface.

Two technical references for evaluating the implementation: an API contract and a retrieval architecture.

API reference · implementation documentation

Super Transcriber API

Private uploads, durable transcription jobs and signed webhooks, with a typed SDK and customer-owned AWS deployment option.

  1. Private upload
  2. Async job
  3. Signed webhook
  4. Export

v1.0 records AWS smoke tests with synthetic audio. Environment setup needs evaluation; checkout and billing are disabled.

Read the API reference ↗ (opens in a new tab)Discuss an integration →

System diagram · implementation reference

Pulpit

An authenticated Korean–English sermon archive combining semantic and keyword search, with answers linked to source cards.

  1. Caption archive
  2. S3 Vectors + keyword index
  3. Authenticated search + sources

This is an architecture summary, not a product screenshot. The public application requires sign-in; no retrieval-accuracy or adoption claim is made.

Inspect the architecture →Open archive sign-in ↗ (opens in a new tab)

More engineering examples

InspectIQDevelopment case study · photo evidence & reviewAlbum ApproveProduct preview · versioned client approvalAegisDeskEvaluation workspace · incident approvalsCareFrameManaged pilot · media search & rights reviewTonePilotNative Mac developer preview · image analysis & Lightroom integrationMarket ScoutWeb & Android · saved market comparisons

Start with one workflow.

Show us what is checked today, by whom and in which systems. We come back with a written scope: the inputs, integrations, exclusions and acceptance checks. Build and handover follow that scope.

  1. Scope

    Map one workflow and its inputs. Define the deliverable, exclusions and the evidence needed to accept it.

    Acceptance criteria · Evaluation plan

  2. Design

    Agree the integration, identity and data boundaries, including which checks are rules and which decisions require review.

    Architecture · Deployment plan

  3. Build & validate

    Build against agreed acceptance checks. Test source coverage, failure paths and reviewer actions using authorized inputs.

    Release criteria · Issue list

  4. Hand over

    Agree the target environment and operating owner. Cloud deployment, rollback, runbooks and a walkthrough are scoped to the project.

    Rollback · Handover checklist

The full index

Browse all projects.

Application walkthroughs, focused tools and research, with their source captures and current scope. Creative work and games have their own collection.

Browse all projects
Aiden Rhaa, founder of Supreme AI Ventures

Who builds it

Accountable from scope to handover.

Supreme AI Ventures is led by Aiden Rhaa, founder. More than fifteen years across operations, creative production, and web and automation systems inform how each engagement is scoped, built and handed over.

  • AWS Certified Solutions Architect – Associate
  • AWS Certified Developer – Associate
  • HashiCorp Certified: Terraform Associate

Questions we get asked

Where does the system run?

The target environment is agreed in scope. Your own cloud account is an option, with access controls, rollback and operating handover defined for that deployment.

What do we receive at the end?

Working software plus architecture, integration, validation and operating documentation. Every engagement starts from agreed acceptance criteria and an evaluation plan.

What if the AI is wrong or unsure?

We agree which results need source references, which checks use explicit rules and which decisions stay with a reviewer. Those behaviors become part of the acceptance checks.

Can we start from an existing build?

We can evaluate whether an existing workflow fits your inputs and environment before proposing a new build. The project index includes demos, pilots, tools and engineering references, each with its current scope.

Tell us the problem.

Describe one workflow: what is checked today, which systems are involved and what a good result looks like. We will discuss fit and the scope of a first engagement.

[email protected]

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