AI product engineering人工智能產品工程
Turning an idea into a working model: data pipelines, model selection, evaluation and the interfaces people actually use.把想法變成可運作的模型：資料管道、模型選擇、成效評估，以及使用者真正會用的介面。
AI · Robotics · Automation
人工智能 · 機械人 · 自動化
Building the next generation of intelligent machines. 打造下一代 智能機械。
Techlution is a newly founded US company working where artificial intelligence meets robotics. We design, prototype and ship intelligent systems — from computer vision to autonomous control. Techlution 是一間於美國新成立的科技公司，專注在人工智能與機械人的交匯點。我們設計、製作原型並交付智能系統 —— 由電腦視覺到自主控制。
What we do我們做什麼
An engineering studio for AI and robotics. 專注人工智能與機械人的工程團隊。
We are early-stage — and that is deliberate. Instead of claiming a finished product catalogue, we partner with a small number of clients to design, test and prove out intelligent systems that actually work in the real world. 我們仍在起步階段，而這是刻意的選擇。與其吹噓一套已完成的產品目錄，我們選擇與少數客戶緊密合作，設計、測試並驗證真正能在現實世界運作的智能系統。
Robotics integration機械人整合
Bringing mechanics, sensors and control software together into one reliable machine — then tuning it for the environment it works in.把機械結構、感測器與控制軟件整合成一部可靠的機器，並針對實際工作環境調校表現。
Intelligent automation智能自動化
Replacing repetitive, error-prone work with systems that see, decide and act — with a human kept in the loop where it matters.用「看得見、能判斷、會行動」的系統取代重複而易錯的工作，並在關鍵環節保留人手把關。
Research & prototyping研究與原型開發
Short, honest feasibility studies. We benchmark options and tell you what is possible, what it costs and what to avoid.短週期、講真話的可行性研究。我們比較不同方案，清楚告訴你什麼可行、成本多少、哪些路不要走。
How we work合作流程
Four steps, no black boxes.四個步驟，沒有黑盒。
Every engagement follows the same transparent path. You see the work, the trade-offs and the cost at each stage.每個專案都走同一條透明路徑。每個階段的工作內容、取捨與成本，你都會清楚看到。
01
Discovery探索與定義
A focused workshop to define the problem, the constraints and what a successful outcome actually looks like.透過聚焦的工作坊，定義問題、限制條件，以及什麼才算真正成功的結果。
02
Prototype原型開發
A working prototype in weeks, not quarters — enough to test the core assumption in the real environment.以「週」而不是「季」為單位做出可用原型，足以在真實環境測試最核心的假設。
03
Validate實地驗證
Measure accuracy, speed, cost and failure modes. If the numbers do not hold up, we say so.量度準確度、速度、成本與失效模式。如果數據站不住腳，我們會直接說出來。
04
Scale規模化交付
Hardening, documentation and handover — so your team can run and extend the system without us.系統加固、文件與交接 —— 讓你的團隊可以在沒有我們的情況下繼續運作與擴展。
Systems thinking系統思維
From sensor to decision.由感測器到決策。
An intelligent machine is only as good as the pipeline behind it. We design that pipeline end to end.智能機械的表現，取決於背後整條數據流程。我們由源頭到終點一手設計。
- Sensors, cameras and signal conditioning感測器、鏡頭與訊號處理
- Perception models trained on your own data以你自己的數據訓練的感知模型
- Decision logic with clear, logged reasoning判斷邏輯清晰，並完整記錄決策依據
- Monitoring that catches drift before your customers do在客戶發現之前，先偵測到模型偏差的監控機制
Responsibility責任與信任
Intelligence that stays accountable.可被問責的智能。
Automation should make your team faster, not make decisions impossible to explain. We build in the controls from day one.自動化應該讓團隊更快，而不是讓決策變得無法解釋。我們由第一天就把管控機制設計進去。
- Human review at the points that carry risk在具風險的環節保留人手覆核
- Your data stays yours — private by default你的資料始終屬於你 —— 預設保密
- Documentation a new engineer can actually read新加入的工程師真的看得懂的文件
2026
Company founded公司成立年份
4
Core practice areas核心服務領域
2
Working languages服務語言
24h
Target first reply目標首次回覆時間
Have a problem that needs machine intelligence? 有個問題，需要智能系統去解決？
Tell us the problem. We will tell you honestly whether AI or robotics is the right tool — and what a first prototype would take. 把問題告訴我們。我們會誠實告訴你：AI 或機械人是否合適的工具，以及第一個原型需要什麼。