QuassLabs

Mobile apps, web software, and AI systems — built by a team that ships.

QuassLabs is a tight-knit software consultancy: 23 years of building, 100+ products shipped across iOS, Android, web, and AI. We scope, architect, build, and deploy — from a rough brief to production. Small team, senior execution.

23 Years building software
100+ Products shipped
435+ Internal skills in the toolkit

What we do

iOS/Android apps, web products, AI systems, cloud infrastructure — 435+ internal skills, distilled into what we bring to every build.

Fractional CTO

Technical leadership for startups and growing teams — architecture decisions, hiring bar, security posture, and roadmap clarity without a full-time hire.

Stepped in as technical lead on a Series A-track product: set the architecture, defined the engineering hiring bar, evaluated three vendor integrations, and got the team to a shippable v1 in 6 weeks.

Cloud Architecture Consulting

AWS account design, multi-account organization setup, infrastructure audits, and greenfield architecture — brought in as a standalone engagement or alongside a full build.

Designed a multi-account AWS organization for a growing startup: VPC segmentation, IAM governance, cost tagging, and a migration roadmap from on-prem to ECS — delivered in under a week. Yes, this includes standing up AWS accounts and billing structures for your team.

Mobile App Development

iOS and Android apps built with React Native — from first wireframe to App Store and Google Play.

Shipped 30+ mobile apps across fitness, travel, fintech, utilities, and media — including React Native apps with offline sync, native Bluetooth, and in-app purchases.

Web & SaaS Development

Full-stack web applications using React, Node.js, TypeScript, and Astro — from marketing sites to complex SaaS platforms.

Built SaaS platforms with auth, subscriptions (Stripe), real-time features, and white-label multi-tenancy. Landing to production in a single engagement.

AI Product Development

End-to-end AI product builds — LLM integration, multi-agent systems, RAG pipelines, and voice interfaces.

Built Delphina (worklog AI), MythicQuill (AI publishing platform), and CostLabsHQ (AI estimation tool). Integrates Claude, local inference, and custom orchestration layers.

Product Scoping & Architecture

Turn a rough idea into a clear, estimated plan — data model, infrastructure, AI layer, and security posture locked before a line of code is written.

Scoping sessions produce a buildable spec, phase breakdown, and cost estimate in 1–2 days. Architecture decisions account for scale, cost, and compliance from day one.

Cloud Infrastructure & DevOps

AWS account bootstrap, serverless and containerized deployments, CI/CD pipelines, and production monitoring.

Day-zero AWS setup produces budget alerts, least-privilege IAM, structured logging, and CloudFront distribution in under 30 minutes. ECS, Lambda, and S3 patterns applied across 20+ live products.

Multi-Agent AI Orchestration

Routing and coordination across local and cloud AI models for cost-aware task delegation.

Routes deterministic tasks to local models; reserves cloud reasoning for ambiguous architecture and judgment calls. Typical cost reduction: ~70% vs cloud-only.

Code Review & Security Audit

Automated PR-style code review with security and dependency scanning, integrated with CI gates.

Caught a CVE-flagged transitive dependency before merge in a recent sprint; flagged a model-config mismatch a bulk-edit had introduced.

SaaS Strategy & Estimation

Valuation modeling, GTM planning, and engagement-scoped cost estimation.

Produces 5-year DCF, cap-table, and 3-exit waterfall; emits Series A pitch financials with brand-styled PPTX in under an hour.

Penetration Testing & Security Audits

Consent-gated penetration testing, OWASP audits, and SBOM-based supply-chain analysis — scoped as a standalone engagement or pre-launch gate.

Pre-launch security engagement produces CLEAR / CONDITIONAL / BLOCK verdicts with CVSS-scored findings and an SBOM in CycloneDX + SPDX formats. Findings are prioritized by exploitability, not just severity.

Investigative Data Pipelines

Automated OSINT and public-records workflows — source, cross-reference, and compile structured intelligence from government databases, registries, and open sources.

Built InvestiGator: an end-to-end pipeline that queries county assessor, SOS, and public records databases, cross-references identities, and outputs structured investigation briefs — automating work that previously took hours per subject.

Cross-Session AI Memory

Persistent context preservation across long-running AI sessions and engagements.

Per-project memory hydration on session start; cross-session context survives compaction; engagements pick up months later without re-onboarding.

Performance & Observability

Load testing, SLO/p99 tracking, and anomaly detection across deployed services.

k6 + Vegeta SLO gating with 5 profiles (smoke/load/stress/spike/soak); unified dashboard pulls CloudWatch, Prometheus, and load-test results.

Design Audit & Handoff

Figma QA, design-token systems, and competitive design review with developer-ready specs.

Light/dark token systems with FOUC prevention; competitive design review pulls 3–5 competitor references and emits prioritized improvement suggestions.

Apps we've built

Products we've shipped or are shipping — each backed by a case study.

How we work

A tight path from a rough idea to something running in production.

  1. 01

    Scope

    Turn a rough idea into a clear, estimated plan — what to build, in what order, and why.

  2. 02

    Architect

    Lock the data model, infrastructure, and AI layer up front, with security and cost in mind.

  3. 03

    Build

    Ship production code in vertical slices — tested, reviewed, and secure by default.

  4. 04

    Ship

    Deploy to AWS, wire up monitoring, and hand off cleanly with docs.

Have something to build?

Scoping, architecture, AI integration, or a full product — start a conversation.

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