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Financial Intelligence Infrastructure

The intelligence layer
for lending decisions.

From documents to structured financial intelligence.

Built for brokers and credit teams.

Request Access Join Pilot

See how Daixta interprets financial data for lending.

Starting with equipment finance. Expanding from there.

Designed for real underwriting workflows.

The System

Raw data enters.
Structured intelligence leaves.

Daixta sits between raw financial data and lender decision-making.

It does not make decisions. It makes data legible — classified, structured, interpreted, and ready for the teams who decide.

The Transformation
Unstructured input

Financial documents in any format. Bank statements, records, borrower files.

Structured intelligence

Every transaction classified. Verified data feeds analysis. Flagged items surface for review.

Where This Is Going

Beyond bank statements.

Daixta starts with how bank statement data is interpreted within underwriting workflows.

Over time, this expands into a broader financial intelligence layer across the lending process — helping teams structure, assess, and communicate credit more consistently.

The goal is not to replace underwriting, but to make decisions faster, clearer, and more defensible.

Financial intelligence infrastructure for lending

The analysis
runs.The decision
stays with you.

DS001 · Bank Statement Intelligence · Classification Engine · v0.1.0-alpha

Equipment Finance · Primary Deployment1,240 Transactions ClassifiedVerified Transactions Only Feed CalculationsAnalyst Review Is Always Required
The Problem
The Problem
01

Unstructured financial data slows credit decisions.

02

Manual analysis limits deal velocity.

03

Fragmented workflows reduce analyst capacity.

How It Works
01
Upload

Upload financial documents and bank statements.

02
Structure

Daixta classifies, structures, and analyzes.

03
Review

Credit teams review decision-ready intelligence.

Output

Three views from the same analysis.

Output is structured for analyst review. Flagged items surface for judgment — not auto-resolved.

Use Cases

Where Daixta is deployed.

Primary Deployment
Equipment Finance

Transaction-level classification of borrower cash flows for asset-secured facilities, structured for credit review without interpretation. Starting with equipment finance. Expanding across lending workflows.

01
SME Lending

Structured income and obligation classification for small business credit assessment.

02
Broker Pre-Screening

Structured financial summaries before referral to the lending desk.

03
Credit Workflows

A consistent analysis layer for credit teams across multiple borrower types.

Data Security & Compliance

Built for the standards
your lenders require.

Daixta handles bank statements and financial documents on behalf of brokers and credit teams across Canada and the United States. Every element of the infrastructure is designed around the data protection standards required by regulated lending institutions.

Full security documentation
Encryption

AES-256 at rest. TLS 1.3 in transit. Encrypted processing pipelines. No unencrypted state at any point in the classification pipeline.

Data Isolation

Each partner's data is physically and logically isolated. No shared storage, no shared processing queues, separate encryption keys per partner.

Data Residency

Canada and US jurisdiction-enforced storage. No cross-border transfer without written consent. Aligned with PIPEDA, OSFI B-10, and FFIEC guidance.

Framework & Standard Alignment
PIPEDAOSFI B-10OSFI B-13FFIECNIST CSFAES-256TLS 1.372hr Breach NotificationSOC 2 In Progress
Pilot Programme

Daixta works with a limited number of lending institutions.

Active deployment with equipment finance brokers across Canada and the US. Conversations begin with a structured briefing. Access is by application.

DX-ACCESS-PORTAL Access the Daixta System
Request AccessJoin Pilot

See how Daixta interprets financial data for lending.

Institutional inquiries: access@daixta.com