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Replace slow, spreadsheet-heavy credit analysis with real-time, AI-driven credit insights. Model risk, monitor exposure, and make faster, auditable credit decisions across chat, voice, or digital avatars.
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Most credit risk analysis software handles only structured data, neglecting live market signals, internal databases, and other critical sources. Consequently, regulated finance teams are forced back to spreadsheets and manual review for risk evaluation.
Teams spend hours on static Excel models, which are prone to formula errors and outdated data.
Data scattered across filings, news, and ERP systems requires manual aggregation, which delays underwriting and risk assessment.
Static dashboards miss real-time anomalies in revenue, debt, or peer benchmarks.
Non-auditable insights make decision review difficult and complicate compliance with lending regulations.
Auriga CreditIQ is Scry AI’s credit intelligence and risk modeling platform, built on Auriga’s Real-Time Intelligence architecture. It enables credit analysts, risk officers, and decision-makers to analyze credit risk, build models, and monitor exposure through natural language interaction rather than static dashboards or manual spreadsheets. The platform turns live data into source-linked insights, interactive visual summaries, and on-demand credit models in real time.
A unified suite of intelligence-driven capabilities that integrates live data, AI, and automation to modernize credit decision-making, risk assessment, and portfolio oversight across the enterprise.
Stay continuously aligned with the true financial position of counterparties through always-on credit intelligence. Auriga CreditIQ ingests live data from company filings, financial statements, and trusted news sources to dynamically update credit models. Core ratios spanning debt service coverage, liquidity, solvency, and profitability are recalculated in real time and benchmarked against industry peers and sector standards.
Machine learning models trained on historical defaults, sector behavior, and financial patterns generate forward-looking credit risk scores. The platform analyzes multidimensional inputs beyond ratios, including trend behavior, volatility, concentration risk, and early stress signals, to estimate the probability of default and risk migration. Scores are transparent and policy-aware, enabling credit teams to interpret drivers, test scenarios, and apply consistent decision-making across counterparties.
Identify emerging risks before they materialize into losses. CreditIQ continuously monitors financial performance to detect anomalies in revenue trends, margin stability, and debt exposure. Built-in, customizable diagnostics align with internal credit policies and sector norms. Proactive alerts flag year-over-year deterioration, payment stress, or weakening ratios, enabling early intervention and stronger risk control.
Transform how teams interact with credit data through natural-language intelligence. Users can ask intuitive questions, such as “Show the top 10 riskiest vendors this quarter,” and receive precise, contextual responses supported by source-backed explanations. Available across chat, voice, and digital avatars, this capability provides instant access to trusted financial intelligence without relying on manual reports or spreadsheets.
The platform translates complex financial data into intuitive, infographic-style dashboards, summary charts, and trend visualizations. Users can view key credit metrics, risk drivers, and portfolio performance at a glance, with the ability to drill down into underlying details as needed. Interactive visuals also enable teams to compare scenarios, explore trends, and share consistent insights across analysts, risk teams, and leadership.
Auriga CreditIQ is designed to scale across diverse enterprise credit workflows. From corporate loan underwriting and portfolio-level risk analysis to supplier and partner financial health monitoring, the platform supports consistent credit policy enforcement across lending operations. Its flexible architecture enables smooth adoption across banks, NBFCs, corporates, and large financial institutions seeking stronger governance and data-driven credit decisions.
Across enterprise deployments spanning loan underwriting and supplier risk monitoring, the platform consistently delivers measurable operational and risk outcomes.
Faster Credit Approvals with AI-Backed Scoring
Reduction in Spreadsheet Dependency
Improvement in Risk Detection
Audit-Ready Traceability
Integrates structured and unstructured data from external filings, financial statements, news, bureaus, and internal enterprise systems. Ingests inputs continuously so models reflect the latest available information.
Standardizes, validates, and versions incoming data using deterministic rules and controls. Runs each analysis on a fixed, versioned data snapshot that can be recreated for review, ensuring consistency, auditability, and confidence in outcomes.
Automatically computes financial ratios, peer benchmarks, and policy thresholds to build credit models. Updates models with new data without manual recalculation and enables consistent evaluation across counterparties and portfolios.
Identifies anomalies, trend shifts, and emerging risk signals across financial performance and exposures. Delivers visual summaries, factor-level explanations, peer context, and source-linked evidence to enable validation and approvals.
Provides insights through conversational interfaces such as chat, voice, and digital avatars, and integrates directly with existing workflows and systems. Triggers alerts, enforces credit policies, and monitors credit health continuously as conditions change.
Auriga CreditIQ can process a wide range of credit-relevant data, including structured, semi-structured, and unstructured formats, spanning public disclosures, internal systems, and live market signals.
Our Credit Analysis Software prioritizes auditability, security, and adherence to enterprise policies without disrupting workflows.
Immutable data lineage from query to output, including timestamps and evidence packages.
Import scorecards from Excel and run shadow mode for challenger models.
On-premises or private cloud deployment; SOC 2 & ISO 27001 compliant; RBAC with least-privilege access.
We are trusted by enterprises globally.
Connect documents, databases, existing applications, and live data sources through secure connectors to ensure reliable data exchange across teams and workflows.
Move beyond spreadsheet-driven risk assessments to real-time, explainable, and conversational credit intelligence.
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