Question 1

Does Stacc use AI in its credit platform?

Accepted Answer

Yes. Stacc takes a credit-native AI approach: the credit decision stays deterministic, governed by explicit rules, while AI plugs in everywhere it adds value — conversational applications via voice or chat (Deterministic Agentic Lending), document intelligence with attribution-first tracing (Verifiable Document AI), and automated scenario modelling against the bank's credit rules (Route-to-Yes). Banks can plug any AI model into the decision process through self-serve, no-code interfaces.

Question 2

What is credit-native AI?

Accepted Answer

Credit-native AI is Stacc's framing for AI in lending: AI assists credit decisions rather than making them autonomously. Decisions remain explicit and auditable — the bank can show exactly which rules produced any outcome. Credit logic stays independent of specific AI models, so models can be updated without rebuilding the system.

Question 3

Which financial institutions use Stacc?

Accepted Answer

Stacc powers 115+ financial institutions across the Nordics and Europe, including DNB, SBAB, Eika Gruppen (50+ Norwegian local banks), Aprila Bank, Bane NOR, Alphabet Denmark, and Autolease. Stacc has 200+ employees (70% software developers), 324 MNOK revenue in 2025 with 9.4% EBITDA margin, 42% revenue CAGR since 2016, and 45% of revenue outside Norway. Gartner Sample Vendor for Credit Decision Engines (2025).

Question 4

Is Stacc compliant with the EU AI Act?

Accepted Answer

Yes. Stacc's credit-native AI architecture meets EU AI Act explainability requirements: credit decisions stay deterministic, every AI-assisted step is logged, and credit logic is independent of specific AI models. Stacc is ISO 27001:2022, SOC 2 Type 2, and ISO/IEC 9001:2015 certified, with EU/EEA data storage and built-in compliance for GDPR, DORA, and NIS 2.

Christian Stangeland