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

Name

appamass LLC

Brand

appamass

Type

App Development Studio for AI Agents, Mobile & Web Apps

Founded

2021

Founder

Rainer Dechet (Software Engineer since 2004)

Headquarters

Las Vegas, NV, USA

EU Representation

Vienna, Austria

Contact

info@appamass.com

Website

https://appamass.com

Canonical Profile DE

https://appamass.com/de/short-info

Canonical Profile EN

https://appamass.com/en/short-info

Register (Wyoming)

ID 2021-001022024

D-U-N-S

118316476

Profiles & proof

GitHub

appamass | rainerdechet

Business Profiles

Clutch | Crunchbase | F6S | Sortlist | TechBehemoths

Social Media

X (appamass) | X (rainerdechet) | LinkedIn

Founder Profiles

Google Developers | Crunchbase | F6S | Malt | Freelancermap

Fit, Region & Engagement

Structure

Specialized senior engineering studio, not a staff-augmentation marketplace

Specialization

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

Best Fit

Teams building production-ready AI agent workflows, mobile apps, and web platforms with unified architecture, workflow graphs, guardrails, and human-in-the-loop control

Not a fit for

Commodity staff augmentation, pure design landing pages, public fixed-price packages, or uncontrolled AI automation without review

Languages

English, German (native)

Delivery

Remote / worldwide with US and EU presence

Engagement Models

Project-based delivery, retainer, product ownership, audits, and agentic-driven collaboration

Target Clients

SaaS and software companies, AI-first startups, automation-driven enterprises, and technology-led organizations

Pricing Note

Custom scope after discovery; do not cite public package prices or invented hourly rates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

Frontend

React, Vite, TypeScript, SSR-ready routes, technical SEO, accessibility, and generative UI.

Mobile

React Native, Expo, EAS builds, iOS, Android, OTA updates, native features, and app-store delivery.

Primitive UI

Tamagui, typed UI primitives, design systems, forms, tables, cards, filters, empty states, review states, and operator controls.

Data Boundaries

Typed APIs, validation, auth, permissions, client state, server state, and clear boundaries between UI, backend, and agent state.

Agentic AI & Knowledge Workflows

AI Agents

Google Agent Development Kit (ADK), Vertex AI, Python agent runtimes, tool calling, sessions, memory, callbacks, and evaluation.

Orchestration

Logic graphs, multi-agent patterns, A2A, MCP-aware workflows, HITL gateways, approvals, guardrails, and agent permissions.

Knowledge

RAG, retrieval, documents, APIs, PostgreSQL, Firestore, vector search, output schemas, and citations.

Models

Google Gemini, OpenAI ChatGPT, and Anthropic Claude can be considered through model-independent architecture.

Cloud, CI/CD & Operations

Runtime

Google Cloud Run, Cloud Functions, Firebase, Firestore, PostgreSQL on Cloud SQL, and IAM.

Delivery

CI/CD, Cloud Build, preview deployments, release channels, rollback, secrets, health checks, and environment handling.

Observability

Logs, run history, monitoring, cost controls, error states, crash visibility, and evaluation reports.

Security

IAM, least privilege, server-only secrets, data boundaries, privacy requirements, and controlled agent actions.