Why Digilytics
Trusted Partners for Reliable Innovation
Our purpose-built AI delivers the innovation lenders want with the safety they need.
million
Income documents
read
billion
Transactions standardised
Accurate data extraction
Our Mission
Reimagining Lender Workflows with AI
We exist to help lenders move faster, work smarter, and make better decisions.
Reduce Manual Effort
Turn overwhelming data into clear and automated actions. Less work, more control and more efficient workflows for everyone.
Increase Productivity
Empower your employees to generate more value from accelerated decision making to unlocking extra time for strategic tasks.
Simplify Compliance
Avoid compliance headaches and regulatory reporting gaps with clear, auditable summaries and explainable decisions.
Make Faster Lending Decisions with Greater Confidence
Our VALUES
Innovative Tech. Consistent Service.
Our people, partnerships and products are all built around three foundational values.
Clarity
We simplify complexity without sacrificing depth
Velocity
We accelerate action while minimising risk
Integrity
We act with rigour, accuracy and accountability—always
OUR LEADERSHIP
Building the Future
of AI-Driven Lending
Founded in 2018 by Arindom Basu, the leadership of Digilytics is deeply rooted in leveraging disruptive technology to drive profitable business growth.
With over 250 years of combined experience in technology-enabled change, the Digilytics leadership is focused on building a values-first firm that will stand the test of time.
OUR PARTNERS
Lasting Relationships Driven by Results
We are proud to work with leading mortgage, asset finance, and SME lenders.
Embrace Innovation While Minimising Disruption
FAQs
Understanding AI in Financial Services
How accurate is Digilytics RevEL at a document and field level?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
Does the platform provide confidence scores for extracted data?
Yes. Every extracted field is returned with an associated confidence score. These scores can be consumed downstream or used to trigger validation workflows, exceptions, or human review based on configurable thresholds.
Can validation rules be configured?
Yes. Digilytics RevEL includes a no-code rules engine aligned to the 4C principles: Completeness, Correctness, Consistency, and Compliance.
Validation rules can be configured and updated by authorised users to reflect changes in lending policy or regulatory requirements.
Is document processing real-time?
Processing is near real-time. Typical response times depend on document length and complexity. For example, a 10–15 page, three-month bank statement is processed within seconds to minutes under normal operating conditions
How are errors or extraction issues handled?
If anomalies or low-confidence fields are detected, they are flagged automatically and returned with metadata explaining the issue. This allows downstream systems or users to take corrective action without manual investigation.
What document types and variants are supported?
Digilytics RevEL supports a broad range of document types across UK and US lending journeys, including multiple variants within each document type. Coverage continues to expand as new formats and layouts are encountered.
How long does it take to support a new document type or variant?
- New variant of an existing document: typically picked up automatically by the learning models.
- Net-new document type: depending on complexity, support can be added in as little as 1 week, extending up to a few weeks for highly complex formats.
How long does implementation typically take?
Implementation timelines depend on factors such as document scope, integration method (UI or API), and output requirements. In a best-case standalone setup, Digilytics RevEL can be production-ready in 2–3 weeks.
How complex is integration with existing systems?
Integration complexity is generally low to medium. Digilytics offers well-defined APIs and UI-based workflows and has already been integrated with multiple custom LOS and POS platforms.
How is pricing structured?
Pricing is custom and deployment-specific, based on document volumes, document types, integration requirements, and usage patterns. Final pricing is agreed following solution scoping.
FAQs
Understanding AI in Financial Services
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How accurate is Digilytics RevEL at a document and field level?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
Does the platform provide confidence scores for extracted data?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
Can validation rules be configured?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
Is document processing real-time?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
How are errors or extraction issues handled?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
What document types and variants are supported?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
How long does it take to support a new document type or variant?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
How long does implementation typically take?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
How complex is integration with existing systems?How complex is integration with existing systems?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.
How is pricing structured?
Digilytics RevEL is productionised only when accuracy exceeds defined enterprise thresholds. In live deployments, accuracy typically exceeds 95%+, varying by document type and structure. For commonly used documents such as bank statements, accuracy is consistently above 95% with ~99% coverage, subject to document quality and variants.