FoodScape.AI — 食境
FoodScape.AI

Mapping the hidden landscape of food.

食境 — 看見食物背後的世界

The intelligence layer behind every food decision.
Structured. Computable. Scalable.

看見食物背後的隱藏地景

Mapping the hidden landscape of food.

讓食品資訊,第一次變得可計算。
亞洲最完整的食品智慧基礎設施層。

4,200+Products Indexed已索引產品數
727Additives Tracked追蹤添加物數
10-Axis10 軸Risk Scoring風險評分模型
The Problem

Food decisions shouldn't require blind trust.

Every day, billions of people make food choices based on incomplete, unstructured, or simply unavailable information. For enterprises, this opacity is not just inconvenient — it's a liability.

我們要解決的問題

食品決策不該建立在盲目信任之上。

每天,數十億人根據不完整、非結構化、甚至根本不存在的資訊做出飲食選擇。對企業而言,這種不透明不只是不便——而是風險。

The structural gap

結構性缺口

1

Fragmented data. Ingredient information is scattered across labels, databases, and regulatory filings — in different languages, formats, and standards. No single source of truth exists.

資料碎片化。成分資訊散落在標籤、資料庫與法規文件中——語言、格式、標準各異。沒有單一可信來源。

2

Uncomputable risk. 727+ food additives are permitted in Taiwan alone. Their interactions, cumulative exposure, and context-dependent risks cannot be assessed manually — yet no machine-readable risk infrastructure exists.

不可計算的風險。僅台灣就有 727+ 種合法食品添加物。它們的交互作用、累積暴露與情境風險無法人工評估——但目前不存在機器可讀的風險基礎設施。

3

Asia's unique complexity. CJK ingredient labels, region-specific additives, diverse dietary cultures (Buddhist vegetarian, halal, allergen variations) — global food data platforms simply don't cover this landscape.

亞洲的獨特複雜度。中日韓成分標籤、地區性添加物、多元飲食文化(佛教素食、清真、過敏原差異)——全球食品數據平台根本不覆蓋這片地景。

"Make every food decision computable."
「讓每一個食品決策,都建立在可計算的資訊基礎上。」

This is the founding belief of Foodscape. We are building Asia's most complete food intelligence infrastructure — not another food app, but the data layer that every food app, every retailer, every insurer, and every regulator needs but doesn't yet have.

When people and organizations can truly understand what's in their food — every ingredient, every risk, every context — the entire food industry moves toward transparency, accountability, and better health outcomes.

這是 Foodscape 的創立信念。我們正在建構亞洲最完整的食品智慧基礎設施——不是又一個食品 App,而是每一個食品應用、每一家零售商、每一家保險公司、每一個監管機構都需要但尚不存在的資料層

當人們和組織能真正理解食物中的一切——每一種成分、每一個風險、每一個情境——整個食品產業才會走向透明、問責與更好的健康結果。

Core Values

The principles behind the platform

Four commitments that define every design decision, every data pipeline, and every API response.

核心價值

平台背後的原則

四項承諾,定義了每一個設計決策、每一條資料管線、每一個 API 回應。

Transparency

資訊透明

資訊透明
Transparency

Every ingredient, every additive, every process — traced, structured, and made accessible. No black boxes in food.

每一個成分、每一種添加物、每一道製程——都被追蹤、結構化、可存取。食品不容許黑箱。

Intelligence

AI 驅動

AI 驅動
Intelligence

AI-native architecture from day one. The system gets smarter, faster, and cheaper with every interaction — not just bigger.

從第一天起即為 AI 原生架構。系統隨每一次互動變得更智能、更快、更便宜——不只是更大。

Trust

可信賴資料

可信賴資料
Trust

Multi-source consensus, regulatory cross-referencing, and complete audit trails. Data you can stake enterprise decisions on.

多來源共識、法規交叉比對、完整稽核軌跡。值得企業用來做決策的資料。

Empowerment

決策賦能

決策賦能
Empowerment

From raw labels to computed insight. We don't just digitize food data — we make risk quantifiable, context-aware, and actionable.

從原始標籤到可計算的洞見。我們不只是數位化——我們讓風險可量化、情境感知、可行動。

Use Cases

Who builds on Foodscape

One data infrastructure, multiple verticals. Foodscape provides the intelligence layer that industry-specific applications need but cannot build alone.

應用場景

誰在 Foodscape 上建構

一套資料基礎設施,多個垂直應用。Foodscape 提供各產業應用所需但無法獨力建構的智慧層。

🏪

Organic & Specialty Retail

有機與特色零售

有機與特色零售
Organic & Specialty Retail

Batch product compliance checking, additive risk reports, and dietary certification validation across thousands of SKUs.

批量產品合規檢查、添加物風險報告、飲食認證驗證——涵蓋數千個 SKU。

Compliance time ↓ · Recall risk ↓
合規時間 ↓ · 召回風險 ↓
🏥

Insurance & Health Tech

保險與健康科技

保險與健康科技
Insurance & Health Tech

Dietary risk quantification as a data source for actuarial models, wellness programs, and personalized health recommendations.

飲食風險量化作為精算模型、健康計畫與個人化健康建議的數據來源。

Risk quantifiable · Personalization ↑
風險可量化 · 個人化 ↑
🏭

Food Brands & FMCG

食品品牌與快消

食品品牌與快消
Food Brands & FMCG

Product formulation pre-screening, competitive ingredient analysis, and regulatory readiness assessment before market entry.

產品配方預篩、競品成分分析、上市前法規合規評估。

Time-to-market ↓ · Regulatory risk ↓
上市時間 ↓ · 法規風險 ↓
🏛️

Regulators & Government

監管機構與政府

監管機構與政府
Regulators & Government

Additive risk monitoring dashboards, market surveillance data, and cross-border labeling compliance analytics.

添加物風險監控儀表板、市場監測數據、跨境標示合規分析。

Surveillance coverage ↑ · Response time ↓
監測覆蓋 ↑ · 回應時間 ↓
Technology

A progressive intelligence pipeline

Every query traverses four layers of deepening analysis. The system optimizes for speed when confidence is high, and escalates to deeper verification when it matters.

技術

漸進式智慧管線

每一次查詢穿越四層漸進式分析。系統在信心度高時優化速度,在關鍵時刻升級到更深層驗證。

Instant
Barcode Identification
條碼辨識
Direct product match from the knowledge base. Sub-second response for known products.
直接從知識庫比對產品。已知產品亞秒級回應。
< 200ms
→ Majority of repeat queries at near-zero cost
→ 大多數重複查詢近乎零成本
Match
Knowledge Base Matching
知識庫比對
Fuzzy matching against a continuously growing product knowledge base — 4,200+ products and expanding.
持續成長的產品知識庫模糊比對——4,200+ 產品且持續擴充。
knowledge base
→ Richer knowledge base = less AI computation needed
→ 知識庫越豐富,需要的 AI 計算越少
Analyze
AI Recognition
AI 辨識
Multi-engine recognition with adaptive routing — the system selects the optimal approach for each scenario automatically.
多引擎辨識與自適應路由——系統針對每個場景自動選擇最佳方案。
adaptive routing
Structured Analysis
結構化分析
Ingredient parsing, additive identification, and regulatory cross-reference against local standards.
成分解析、添加物辨識、在地法規交叉比對。
regulatory mapping
Verify
Multi-Source Verification
多來源驗證
Consensus algorithms cross-referencing multiple data sources. The system continuously enriches its knowledge base.
共識演算法交叉比對多個資料來源。系統持續豐富其知識庫。
consensus engine
Risk Scoring
風險評分
10-axis risk model covering additives, allergens, processing level, dietary compliance, and more.
10 軸風險模型涵蓋添加物、過敏原、加工程度、飲食合規等。
10-axis model
Data Coverage
資料覆蓋
Every new product enriches the knowledge base
每一筆新產品豐富知識庫
Cost Efficiency
成本效率
More usage means lower per-query cost
使用越多,單次查詢成本越低
Data Quality
資料品質
Continuous audit pipeline raises trust over time
持續稽核管線隨時間提升信任度
Ready to explore the landscape?

Investor inquiries, partnership opportunities, or API access.

準備好探索這片地景了嗎?

投資洽談、合作機會或 API 存取。

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