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Tazi

TAZI.AIManage supplier listing

TAZI AI Systems (tazi.ai) — Two byproduct assets from an agent platform deployed inside banks. (1) A cross-institution labeled consumer-complaint corpus: complaint and correspondence texts ingested from multiple channels and classified by severity level, case type, category, subcategory and sentiment, carrying an explicit disagreement signal — the platform's label versus the bank's prior manual label (it surfaced 42 Level-3 complaints mislabeled at one client and caught a 24% mislabel rate on trigger-word cases), which yields paired human/machine labels on regulated complaint text. (2) Per-se…

Datasets

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Two byproduct assets from an agent platform deployed inside banks. (1) A cross-institution labeled consumer-complaint corpus: complaint and correspondence texts ingested from multiple channels and classified by severity level, case type, category, subcategory and sentiment, carrying an explicit disagreement signal — the platform's label versus the bank's prior manual label (it surfaced 42 Level-3 complaints mislabeled at one client and caught a 24% mislabel rate on trigger-word cases), which yields paired human/machine labels on regulated complaint text. (2) Per-session account-takeover risk scores and per-customer attrition/propensity segments from sibling agents, computed on behavioral, financial and engagement data across a client's whole book.

From 7 yearsCoverage Financials · Information TechnologyAsset class Equities

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What buyers ask about Tazi, answered from this page.

What does Tazi do?

TAZI AI Systems (tazi.ai) — Two byproduct assets from an agent platform deployed inside banks. (1) A cross-institution labeled consumer-complaint corpus: complaint and correspondence texts ingested from multiple channels and classified by severity level, case type, category, subcategory and sentiment, carrying an explicit disagreement signal — the platform's label versus the bank's prior manual label (it surfaced 42 Level-3 complaints mislabeled at one client and caught a 24% mislabel rate on trigger-word cases), which yields paired human/machine labels on regulated complaint text. (2) Per-se…

What data does Tazi offer?

Tazi offers (Sentiment, Alternative, Fundamental) — ~14K labeled complaints from the single cited bank deployment; aggregate across deployments plausibly 50K-500K classified complaint/correspondence records given a ~27-person vendor with a handful of bank clients, plus per-session risk scores which run into the millions wherever the fraud agent is live.

What is Tazi's data used for?

Fine-tuning and evaluation sets for financial-services complaint triage, severity classification and regulatory-risk flagging — including a rare gold set of cases that banks mis-triaged, usable as a hard evaluation subset; conduct-risk and mis-selling early-warning signals per institution for compliance teams and for investors screening listed banks; account-takeover and fraud-detection model training with resolved dispositions; churn and attrition propensity modeling; regulatory-response drafting and customer-intent extraction benchmarks for agents operating in banking.

How is Tazi's data delivered?

The data is with 7 years of history.

What does Tazi cover?

Coverage spans US; Financial Technology, Application Software; sentiment, alternative, fundamental; equities.

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