Document processing, risk insights, customer verification, and operational automation. Purpose-built for financial institutions and enterprises that demand accuracy, speed, and compliance.
Across lending, banking, and enterprise operations, teams are drowning in unstructured documents, inconsistent verification, and manual data entry that doesn't scale.
Analysts spend the majority of their time extracting data from scanned documents instead of making credit decisions.
Senior analysts manually read PDFs, type numbers into spreadsheets, and cross-check totals. Work that should be automated.
Two analysts score the same verification report differently. No consistent rubric means no reliable risk signal for decision-makers.
Fabricated verifications, forged documents, and identity mismatches slip through when reviews are rushed under volume pressure.
Data Quotient transforms unstructured documents into actionable intelligence, from intake to decision, fully automated.
Automates the entire financial document analysis pipeline, from raw scanned documents to a complete credit assessment with computed ratios and AI-generated recommendations.
Automates web-based risk screening for any company or individual, surfacing fraud signals, legal issues, reputational risks, and Politically Exposed Person (PEP) connections that would take analysts hours to research manually.
Quantifies the Customer Point Verification process by producing a standardized weighted scorecard, replacing subjective manual reviews with consistent, auditable scoring.
Automates identity document verification by extracting information from KYC documents and matching it against submitted applicant details, with confidence scoring and full audit trails.
AI-powered bank statement analysis that detects fraud, tracks spending patterns and EMIs, analyzes bounced transactions, and flags suspicious activity for faster and smarter decision-making.
A closer look at what each module delivers and the capabilities that power it.
Automated end-to-end financial document analysis and credit assessment
The Financial Analyzer takes a stack of scanned financial documents and produces a complete credit analysis: structured data, computed ratios, audit insights, and an AI-generated recommendation. It replaces the 5-10 hours an analyst spends per application on data extraction, cross-checking, and report writing.
Automatically classifies uploaded documents by type (financials, KYC, CPV, bank statements) and routes them to the correct processing pipeline, eliminating manual triage.
Reads scanned Balance Sheets and P&L statements, even multi-page, multi-year ones, and extracts every line item into structured, validated data. Handles different formats, units, and layouts.
A built-in feedback loop cross-checks extracted totals against line items and auto-corrects errors, ensuring the numbers that reach your team are accurate.
Computes 10+ financial ratios automatically: Current Ratio, Debt-to-Equity, Interest Coverage, EBITDA%, Working Capital Cycle, and more, ready for credit decisioning.
Extracts and summarizes audit report details including auditor opinion, qualifications, key matters, and CARO reporting so your team doesn't have to read through pages of audit text.
Generates a narrative summary covering company overview, financial highlights, strengths, concerns, and a credit recommendation, ready for your committee's review.
Automated risk screening and reputation analysis
Web Due Diligence automates the background research that analysts do manually: searching the internet for fraud signals, legal issues, and reputational risks associated with a company. It also screens for Politically Exposed Person (PEP) connections. Delivers a structured risk report with clear flags, supporting evidence, and business sentiment analysis in minutes instead of hours.
Searches 15 risk-related keywords (fraud, insolvency, court cases, enforcement actions, etc.) against the company name and location, covering the same ground an analyst would but in seconds.
Doesn't just return search results. Uses AI to read and analyze the content, determining whether each finding is a genuine concern (Flag), irrelevant (Pass), or needs human review (Unsure).
Retrieves the company's public business rating and customer reviews, then generates an AI sentiment summary giving you a quick read on market reputation.
Every flag comes with the source URLs and a summary of what was found so your team can verify and drill deeper when needed, with full traceability.
Outputs a clean, structured report (keyword, flag status, evidence, summary) that can feed directly into your risk assessment workflow or credit memo.
Screens individuals associated with the company (directors, promoters) for Politically Exposed Person status. Identifies current or former government officials, their family members, and close associates who may pose elevated risk.
Standardized, quantified verification scoring
CPV Verification solves a fundamental problem: site visit reports are subjective, inconsistent, and impossible to compare across verifiers. This module takes a CPV report and produces a standardized weighted scorecard, quantifying what was previously a qualitative, manual review process. Every report is scored the same way, every time.
Produces a single verification score out of 100, broken down across 15+ weighted parameters, giving decision-makers a clear, quantified signal instead of subjective opinions.
Verifies whether the applicant was actually present during the site visit by comparing photos in the report against the applicant's reference selfie using facial recognition.
Confirms that the verification actually happened at the registered address by validating location data from the report against the applicant's stated address.
Evaluates the residential area, property type, and surrounding environment from photos in the report, scoring factors that indicate stability and creditworthiness.
Automatically identifies and surfaces discrepancies, inconsistencies, or fraud indicators such as missing photos, address mismatches, or signs of a fabricated visit.
Applies the same scoring rubric to every report regardless of which verifier conducted the visit, eliminating subjectivity and enabling meaningful comparison across applications.
Automated identity document verification with confidence scoring
KYC Verification automates the process of checking identity documents against submitted applicant information. Instead of an analyst manually opening each document, reading the text, and comparing it to what was submitted, the system does this automatically, returning clear match/no-match results with confidence scores and a complete audit trail.
Handles all standard Indian identity documents: Aadhaar, PAN, Voter ID, Passport, Driving License, and utility bills. Detects the document type automatically.
Goes beyond exact string comparison. Understands transliterations, abbreviations, formatting differences, and regional address variations to avoid false rejections.
Returns a confidence score (0-1) for each verification, not just pass/fail. This lets your team set thresholds and handle edge cases with appropriate escalation.
Processes all KYC documents for an application in a single request, verifying multiple documents at once instead of one at a time.
Logs every verification with full detail: what the AI extracted, what was submitted, the match result, and the confidence score. Complete traceability for compliance.
Works seamlessly with the document classification module. KYC documents are automatically identified and routed for verification without manual intervention.
AI-powered transaction analysis, fraud detection, and financial behavior insights
The Bank Statement Analyzer processes raw bank statements and generates a comprehensive financial report covering transaction categorization, EMI tracking, bounce analysis, fraud detection, and spending pattern insights. It gives analysts a complete picture of an applicant's financial behavior in minutes, enabling faster and smarter credit decisions.
Automatically classifies every transaction into meaningful categories: salary/income, EMI payments, rent, utilities, transfers, cash withdrawals, investments, and more.
Identifies suspicious patterns: circular transactions, salary manipulation, end-of-month balance padding, unusual transaction volumes, and multiple accounts used to obscure cash flow.
Identifies and tracks all recurring EMI payments, loan repayments, and financial obligations. Calculates total monthly obligations and flags missed or delayed payments.
Detects and analyzes bounced transactions (cheque returns, failed debits, insufficient funds). Tracks bounce frequency, amounts, and patterns over time as risk indicators.
Analyzes spending behavior over time: income stability, expense patterns, seasonal cash flow variations, average balance trends, and surplus/deficit patterns.
Generates a complete report: account summary, income analysis, expense breakdown, EMI summary, bounce summary, risk indicators, behavioral insights, and overall financial health assessment.
Our solutions adapt to diverse sectors, each backed by deep domain expertise.
Automate credit analysis, reduce turnaround from days to minutes, and standardize underwriting with AI-computed ratios and recommendations.
Streamline KYC verification, automate compliance checks, and deliver consistent customer onboarding at scale across branches.
Leverage web due diligence and sentiment analysis to assess brand reputation, monitor partner risk, and enrich customer profiles.
Accelerate claims processing with document extraction, verify site inspections with standardized scoring, and detect fraud with AI-powered analysis.
Verify property visits with quantified scorecards, validate addresses against documents, and automate due diligence for property-backed lending.
Maintain audit-ready verification trails, ensure consistent processes across teams, and automate regulatory reporting with structured data outputs.
Plugs into your existing workflow. No disruption, just faster, more accurate data.
RESTful APIs with async processing. Submit documents, poll for results. Integrates with any LOS, CRM, or internal system.
Combines multiple AI models for document understanding, extraction, validation, and scoring, each chosen for what it does best.
Handles scanned documents, low-quality images, multi-page PDFs, and complex table layouts with high accuracy.
Identity and presence verification through face comparison, confirming real people in real locations.
Address validation and distance verification through geocoding, confirming visits happened where they should.
All data stays within your cloud infrastructure. Full audit trails, structured logging, and compliance-ready outputs.