内部で動くエンジン。
拡張インテリジェンスレイヤーがALTeX Hubのすべての製品を動かします。各アクセラレーターはひとつの仕事を確実にこなし、どの製品からも利用できます。
01アクセラレーター
Anode
あらゆるデータセットで異常を検知。ファイルをアップロードすると、Anodeがデータの内容を判別し、検証すべき項目を推奨し、教師なしモデルのアンサンブル（Isolation Forest、One-Class SVM、zスコア、IQR）を実行して、当てはまらない行を浮かび上がらせます。設定も前提知識も不要です。
Chat with Data
ライブデータに普段の言葉で質問し、グラフも自動作成。SQL不要。
Correlator
事業部門や期間をまたいでコントロールの不備が集中する箇所を可視化し、単独の検証では見えないパターンを明らかにします。
ML Engine
各例外が本物である可能性をスコア化し、傾向を予測し、御社の判断をもとに継続的に再学習します。
ALTeX SDK
再利用可能な統合コンポーネントと、ガバナンスの効いたエージェント開発により、新しいインサイトをより早く本番に届けます。
Six layers of smart technology, one governed stack
Each layer catches what the one below it misses.
- 06AI agents
Orchestrate the stack: gather, test and draft, supervised.
ExampleA whistleblower tip triaged in 30 minutes
- 05LLMs
Read and write language: contracts, claims, emails.
ExampleBilling above contract clause 7.2
- 04Machine learning
Find what is unusual in many ways at once.
ExampleA vendor ranked 1 of 2,140 by risk
- 03Process mining
Show the real process flow from system logs.
ExampleInvoice before order; approvals bypassed
- 02分析
Statistics against a baseline.
ExampleBenford’s law; a scrap rate twice that of peers
- 01Rule-based insights
Known schemes written as tests.
ExampleThe same invoice paid twice; split orders
- 00Data foundation
ERP plus dark data: logs, documents, plant and dealer systems, through read-only connectors.
Agents gather, test and draft. People decide.
Supervised autonomy: agents never decide, contact anyone or sign off. Every step is logged and replayable, and data stays read-only in your environment.
解説動画の内容。
- Every ALTeX Hub product runs on one governed stack. Each layer catches what the one below it misses.
- A tip is logged, the data pulled read-only and the case scored. Then it waits for a person: the auditor approves.
- Agents never decide, contact anyone or sign off. Every step is logged and replayable, and the data stays read-only.
Six delivery accelerators, ready to order
コントロール・インテリジェンス・ライブラリ
750+ configurable rule-based and analytic insights, each mapped to a scheme, a control and a data source.
Get a quote →読み取り専用コネクター
SAP ECC, S/4HANA and other sources into one common data model.
Get a quote →説明可能なMLスコアリング
仕入先、従業員、工場を毎日スコアリングし、それぞれに平易な言葉の理由コードを付けます。
Get a quote →LLMドキュメントリーダー
Contracts, invoices and claims read in many languages, with confidence scores.
Get a quote →監督付きエージェント
Agents gather, test and draft; every step is logged; people approve every decision.
Get a quote →課題のクローズまでの管理とガバナンス
Owners, deadlines and closure evidence, with privacy and EU AI Act documentation ready.
Get a quote →Five shifts that will define the next audit cycle
継続的アシュアランス
Testing every transaction becomes the default; annual sampling becomes the exception.
Agents under supervision
Agents gather, test and draft; auditors review, judge and decide.
Smart technology against smart fraud
Document forensics and deepfake checks built into payment controls.
Audit of algorithms
Models used in finance and audit need assurance themselves.
Dark data in scope
Logs, documents and plant data join the ERP as standard audit evidence.
Agents in anti-fraud work: 8% today, 31% expected by 2028 (ACFE and SAS, 2026).