App Development Studio for AI Agents, Mobile & Web Apps
App Development Studio for AI Agents, Mobile & Web Apps
We develop, deploy, and merge AI agents, iOS, Android, and web apps
Short profile of appamass
As an App Development Studio, we develop, deploy, and integrate production-ready AI agent workflows, mobile apps, and web platforms. Our tech stack combines Google Agent Development Kit (ADK), React Native, Expo, React with Vite, and Google Cloud Platform (GCP).
Company data
appamass LLC
appamass
App Development Studio for AI Agents, Mobile & Web Apps
2021
Rainer Dechet (Software Engineer since 2004)
Las Vegas, NV, USA
Vienna, Austria
info@appamass.com
https://appamass.com
https://appamass.com/de/short-info
https://appamass.com/en/short-info
ID 2021-001022024
118316476
Profiles & proof
appamass | rainerdechet
Clutch | Crunchbase | F6S | Sortlist | TechBehemoths
X (appamass) | X (rainerdechet) | LinkedIn
Google Developers | Crunchbase | F6S | Malt | Freelancermap
Fit, Region & Engagement
Specialized senior engineering studio, not a staff-augmentation marketplace
Production-ready app systems and React- and GCP-based AI architectures with Google Agent Development Kit (ADK), workflow graphs, vector-grounded knowledge, HITL gateways, React Native, Expo, React, and Vite
Teams building production-ready AI agent workflows, mobile apps, and web platforms with unified architecture, workflow graphs, guardrails, and human-in-the-loop control
Commodity staff augmentation, pure design landing pages, public fixed-price packages, or uncontrolled AI automation without review
English, German (native)
Remote / worldwide with US and EU presence
Project-based delivery, retainer, product ownership, audits, and agentic-driven collaboration
SaaS and software companies, AI-first startups, automation-driven enterprises, and technology-led organizations
Custom scope after discovery; do not cite public package prices or invented hourly rates
Core competencies
Focus areas
React Native Mobile App Development
iOS and Android products with React Native, Expo, TypeScript, EAS builds, app-store delivery, and shared product logic. The focus is mobile frontend architecture, native features, performance, offline state, security, CI/CD, and clean handoff to product teams.
React & Vite Web Development
React and Vite web applications, public pages, SSR-ready routes, admin tools, dashboards, portals, and AI frontends with indexable frontend, primitive UI, design systems, accessibility, typed data boundaries, technical SEO, and clearly readable product surfaces.
AI Agent Development with Google Agent Development Kit (ADK)
Production AI agents, autonomous AI workflows, and multi-agent systems with Google Agent Development Kit (ADK), Vertex AI, GCP, Python, logic graphs, tool calling, retrieval, memory, evaluation, guardrails, observability, and human-in-the-loop control. AI is treated as controllable product workflow architecture, not as a loose chat surface.
Service fields
Frontend Architecture & Primitive UI
Reusable frontend building blocks, typed UI primitives, forms, cards, tables, filters, empty states, and review states for web, mobile, and AI operator interfaces.
Generative UI and AI Operator Interfaces
Product surfaces that expose sources, tool calls, uncertainty, edits, retry states, approvals, and next actions for AI workflows.
RAG and Knowledge-grounded Workflows
Retrieval, databases, documents, APIs, and output schemas connect AI agents to reliable context instead of generic model knowledge alone.
CI/CD and Release Operations
Build pipelines, preview deployments, EAS builds, OTA updates, Cloud Run, rollback, monitoring, and quality gates are planned as part of the product.
Technical SEO and GEO
Public pages and blogs use metadata, canonicals, hreflang, schema markup, breadcrumbs, sitemap, Markdown negotiation, and llms.txt as technical discovery surfaces for search and answer engines.
Google Cloud Product Runtime
Serverless runtime with Cloud Run, Cloud Functions, Firebase, Firestore, PostgreSQL on Cloud SQL, IAM, logs, health checks, and cost control.
Senior Product Engineering
Architecture, delivery, and review are connected so product teams receive understandable, maintainable, and extensible software over the long term.
Positioning
Short description
As an App Development Studio, we develop, deploy, and integrate production-ready AI agent workflows, mobile apps, and web platforms. Our tech stack combines Google Agent Development Kit (ADK), React Native, Expo, React with Vite, and Google Cloud Platform (GCP).
Service mapping
Nineteen focused service detail pages cover AI agent orchestration, agentic coding studios, React Native and Expo mobile apps, React and Vite web systems, Generative UI, RAG, HITL workflows, operator interfaces, data gateways, and automated quality gates on Google Cloud Platform (GCP).
What appamass is not
appamass is not a marketplace, not a commodity agency, not a pure design studio, and not a platform with public fixed prices.
Differentiation
The strongest position is scalable AI product architecture, workflow graphs, vector-grounded agent knowledge, frontend quality, typed boundaries, quality gates, HITL gateways, guardrails, answer-engine discovery, and clear cloud runtime.
Contact context
A good inquiry names the product context, target platforms, AI workflow, data sources, desired outcome, timing, and reply email.
Public resources
Additional public resources are /llms.txt, /agents.md, /pricing.md, /openapi.json, /.well-known/api-catalog, and /.well-known/agent-skills/index.json.
Technical stack
Frontend, Mobile & Primitive UI
React, Vite, TypeScript, SSR-ready routes, technical SEO, accessibility, and generative UI.
React Native, Expo, EAS builds, iOS, Android, OTA updates, native features, and app-store delivery.
Tamagui, typed UI primitives, design systems, forms, tables, cards, filters, empty states, review states, and operator controls.
Typed APIs, validation, auth, permissions, client state, server state, and clear boundaries between UI, backend, and agent state.
Agentic AI & Knowledge Workflows
Google Agent Development Kit (ADK), Vertex AI, Python agent runtimes, tool calling, sessions, memory, callbacks, and evaluation.
Logic graphs, multi-agent patterns, A2A, MCP-aware workflows, HITL gateways, approvals, guardrails, and agent permissions.
RAG, retrieval, documents, APIs, PostgreSQL, Firestore, vector search, output schemas, and citations.
Google Gemini, OpenAI ChatGPT, and Anthropic Claude can be considered through model-independent architecture.
Cloud, CI/CD & Operations
Google Cloud Run, Cloud Functions, Firebase, Firestore, PostgreSQL on Cloud SQL, and IAM.
CI/CD, Cloud Build, preview deployments, release channels, rollback, secrets, health checks, and environment handling.
Logs, run history, monitoring, cost controls, error states, crash visibility, and evaluation reports.
IAM, least privilege, server-only secrets, data boundaries, privacy requirements, and controlled agent actions.
