Capability catalogue.
Six interlocking practice areas — from discovery through to App Store compliance — engineered around the principle that user data is the user's data, full stop.
Six interlocking disciplines.
Each practice maps to a checkpoint in the studio's delivery flow. Selecting multiple practices produces a complete development engagement with parametric estimation, fixed milestones, and contractual SLA.
▸ Programmatic Audio Engineering
Custom DSP graphs, sample-accurate timing, real-time synthesis, and offline-first recording pipelines for musicians and podcasters.
- Multitrack session models
- AVAudioEngine & FMOD integration
- Sample-accurate timing / 32-bit float
- Offline first, cloud optional
▸ On-device Computer Vision
Vision pipelines run entirely on-device using Apple's Vision framework, Core ML, and Android's ML Kit. No photos ever leave your phone.
- Document OCR & form parsing
- Object / barcode recognition
- Real-time semantic segmentation
- Privacy-preserving embeddings
▸ Biometric Vault Engineering
Hardware-backed encryption pipelines (Secure Enclave, StrongBox, KeyStore) with biometric gating and audit-grade logging.
- Face ID / Touch ID integration
- FIPS-140-3 key management
- Encrypted exports & shredders
- Biometric recovery
▸ Design System Engineering
Token-driven, dark-mode-native design systems in SwiftUI, Jetpack Compose, and Web Components. Audited for WCAG 2.2 AA.
- Tokenised colour & type scales
- Motion principles (HIG, Material You)
- Handoff via Figma Tokens plugin
- Storybook for web components
▸ App Store Compliance
Full lifecycle compliance for Apple App Store, Google Play, and macOS notarisation — privacy manifests, nutrition labels, EU DSA.
- Privacy Manifests & Reason APIs
- Data-use strings & nutrition labels
- EU DSA / DMA disclosures
- Signed notarisation pipeline
▸ Procedural Generation & ML
Procedurally generated UI, content, and audio using on-device diffusion models, grammar generators, and RL — for infinite variety.
- Diffusion-driven art engines
- Grammar-based layout synthesis
- Behaviour-tunable agents
- Real-time in-UX inference
From insight to App Store — in four phases.
Discovery & Threat-Modelling
Two-week engagement. Stakeholder interviews, market canvassing, privacy threat-model (LINDDUN/STRIDE), technical-feasibility study. Output: signed PRD & privacy-by-design brief.
Architecture & Design System
Three-week sprint producing system architecture, design tokens, motion principles, and a fully clickable design prototype.
Sprint Engineering
Six to twelve four-week sprints of paired engineering, weekly demos, and atomic releases to TestFlight and internal Play tracks. Continuous security & accessibility review.
Compliance, Submission & Handover
Privacy manifests, nutrition labels, encryption export paperwork, App Store / Play submission with full back-office support, and an operational handover with three-month hyper-care SLA.
Five lines. Zero bytes leaked.
A minimal recipe illustrating how a privacy-grade entry-point looks in our codebase. All state lives in-process; no network requests are ever scheduled.
// privacy-first key-store entry import LocalAuthentication import Security actor VaultEngine { private let key = "vault.id.gold.v3" private var session: Data? func unlock() async throws { let ctx = LAContext() try await ctx.evaluatePolicy(.deviceOwnerAuthentication) session = try SecureStore.load(key) } }
# local-only privacy gate steps: - name: scan-network-calls run: | grep -R 'NSURLSession|URLSession|fetch' src/ | awk '{if($1) exit 1}' echo "[gate] no outbound calls detected" - name: verify-on-device-claims run: privacy-audit --require-on-device
Have a project in mind?
Briefs are usually scoped within five business days. Engagement start dates are typically 3 weeks from contract signature.