Industrial-grade hardware & software engineering

Thriving Lab

Build, deploy, and monitor reliable automation systems — from embedded control to realtime dashboards.

99.9%
Uptime target for monitored deployments
±1%
Metering accuracy (calibrated systems)
<150ms
Dashboard refresh latency (LAN)
Replace the metric values with real measured numbers for maximum credibility.

About Thriving Technology

We deliver end-to-end engineering: embedded control, industrial automation, RFID security, telemetry pipelines, and dashboards — built for reliability, maintainability, and measurable outcomes.

Registration No.: TH-0505567026141 ISO 9001:2015 ISO/IEC 27001 CE / RoHS
Tip: Add scan/links to certificates (PDF) and show issuing body + certificate ID for real trust.

Company credibility

Buyers trust what they can verify. This section is structured for procurement: legal identity, compliance, security posture, and proof of delivery.

Legal name
Thriving Technology Co., Ltd
Registration No.
TH-0505567026141

Quality
  • ISO 9001 processes (design control, change logs, traceability)
  • Factory acceptance test (FAT) + site acceptance test (SAT)
  • Documented calibration & verification reports
Security
  • Least-privilege access + audit logs
  • Encrypted tokens (RFID/NFC) + rotation strategy
  • Backup + disaster recovery (RPO/RTO defined)
Trusted by
Customer

Downloads (recommended)
Procurement tip: Put certificate ID, issuing body, issue date, and expiry date clearly visible.
Industrial Case Study

Automation line: Problem → Solution → Result

This template is written like a real proposal: measurable KPIs, constraints, engineering decisions, and validated results. Replace numbers with your real deployments.

Problem
  • Inconsistent dosing/flow control caused ±8–12% variance per cycle.
  • Manual logging led to missing data during downtime events.
  • No audit trail for operator actions and maintenance changes.
Solution
  • Edge controller + calibrated flow metering; safety interlocks for valves/pumps.
  • Realtime telemetry pipeline + dashboards + alert rules (threshold + rate-of-change).
  • RFID operator access + immutable event logs (who/what/when).
Result (verified)
±1.2%
Dosing variance after calibration
-34%
Downtime from early anomaly detection
99.93%
Data capture rate (24/7)
6 mo
ROI payback (example)

Architecture
Edge control loop → message bus → storage → dashboard → alerts (with offline-first buffering).
Validation
FAT + SAT; calibration report; trend comparison before/after; signed acceptance.
For strongest credibility: show a chart screenshot + link to anonymized report PDF.

Realtime demo dashboard (mock)

A lightweight “looks-real” dashboard that updates every second. Replace with WebSocket/MQTT data later.

Key metrics

Simulated live feed

LIVE
1.26 L/min
Flow rate
1.08 bar
Pressure
28.4 °C
Temperature
12d 04h
Uptime

Replace this mock generator with real data (MQTT/WebSocket/REST).

Trend

Last 60 seconds

Flow Pressure Temperature

Product / Factory video

Show installation, wiring, UI, and results — 45–90 seconds.
Request a live walkthrough
🔍
</>
📁
{ }

Agentic development, reimagined.

Antigravity gives you a task-centric view into complex agent workflows: execution traces, artifacts, and verification results all in one trusted surface.

app/agents/space-tour.tsx Agent run
01 import { AgentTask } from "antigravity/agents";
02 import { deployToEdge } from "antigravity/deploy";
03  
04 export const planTour = new AgentTask("Plan orbital launch demo");
05 planTour.steps.add({
06   title: "Initialize project",
07   tools: ["create-next-app", "tailwind"],
08 });
09  
10 export const deploy = async () => {
11   await deployToEdge(planTour);
12   console.log("🚀 Agent is live on the edge");
13 };
Editor

An AI IDE core

Tab autocompletion, natural-language code commands, and an embedded agent that understands your workspace and runs in context.

Tracing

Higher-level abstractions

A more intuitive task-based approach to monitoring agent activity, presenting you with essential artifacts and verification results to build trust.

Cross-surface agents

Cross-surface agents

Synchronized agentic control across your editor, terminal, and browser for powerful development workflows.

Feedback

User feedback

Intuitively integrate feedback across surfaces and artifacts to guide and refine each agent’s work.

Mission control

An agent-first experience

Manage multiple agents at the same time, across any workspace, from one central mission control view.

Space Flight Booking · Editor AI IDE
"use client";

export default function Form() {
  const onSubmit = () => {
    console.log("Submitted");
  };

  return (
    <form onSubmit={onSubmit}>
      <label htmlFor="origin">Origin</label>
      <input id="origin" />

      <label htmlFor="destination">Destination</label>
      <input id="destination" />

      <button type="submit">Submit</button>
    </form>
  );
}
Implementation plan · Task view Overview
Project initialization

I have confirmed that the project is using Tailwind CSS v4. Now I am
configuring the global styles for the space theme and creating the
necessary utility files.

Progress updates
 1  Initializing Next.js application and installing dependencies
 2  Scaffolding Next.js app and installing dependencies
 3  Moving files to root and installing additional dependencies
 4  Checking Tailwind version and setting up project structure
 5  Configuring Tailwind and creating utility files
 6  Applying space theme styles and cleaning up home page

Design & implementation
Core components assembled: Button, StarBackground, PlanetSelector,
SearchForm. Verifying the build to ensure everything works as expected.
Verify gravity profile · Browser Cross-surface
Goal
Verify that the gravity profile UI is displayed correctly in the browser.

Steps
 1  Look for “Gravity Profile” text
 2  Ensure the gravity value is displayed (e.g., “9.81 m/s²” for Earth)
 3  Switch to Mars and confirm updated gravity
 4  Capture a screenshot and report what you see

Browser context
  - Space Flight Booking @ localhost:3005
  - Extracted DOM elements
  - Screenshot artifacts

Playback is available for this run.
Implementation plan · Review changes User feedback
Proposed changes
- Add activity graph to the dashboard
- Let users pin important conversations
- Surface agent summaries at the top of long threads

Reviewer comments
> “Highlight the progress graph on hover and add keyboard shortcuts
   for switching agents.”

Status
Awaiting review – ready for feedback across editor, browser,
and mission control.
Mission control · Inbox Agent-first
Inbox · Pending ◌

Space Flight Booking
  Visualize space travel path          Idle
  Add destination gravity profile      Idle
  Add risks to planet selector         Idle

Demo app
  Analyzing fitness activity data      Idle

Playground
  Researching planets and RLHF         Idle
  New conversation started             Idle

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Featured Projects

A selection of modern builds — product-ready, scalable, and designed with detail.

Platform

Thriving Dev Platform

A modular development platform with clean architecture, fast iteration workflow, and production-ready integrations.

project preview
Highlights

    Our Team

    Meet the amazing people behind Thriving Tech.

    tokky
    Jatupon Pomkaew

    Embedded & Automation

    bass
    Bassza 007

    Full-stack & UI

    barron
    John AWA

    Security & RFID

    kittij
    Kitti Jeenaruk

    Hardware Design

    pai
    Panusorn Kuapanyadee

    Operations & QA

    Base of Operations

    Visit our headquarters.

    Thriving Technology Co., Ltd

    Tech & Industrial Development Center

    Built for the people behind the agents.

    From frontend developers to operators and researchers, Antigravity adapts to how different teams work with agents every day.

    Frontend developer

    Frontend developer

    Streamline UX work by letting browser-in-the-loop agents handle repetitive styling, refactors, and tests while you focus on interaction design.

    View case
    Platform engineer

    Platform engineer

    Ship reliable agent infrastructure with observability, rollouts, and review flows that plug into the rest of your platform stack.

    View case
    Data scientist

    Data scientist

    Prototype new workflows quickly, compare runs, and capture experiment traces so you can iterate on prompts and tools with confidence.

    View case