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The data-to-report automation platform

Complex data in.
Trusted reporting out.

Connect your data. Automate the work. Deliver reports you can stand behind. Your rules. Your people. Your control.

  • PDF
  • XML
  • Excel
  • Dashboards
GovernanceLineagePermissionsAudit trailIllustrative data-to-report architecture. Sources connect to the Datox engine and produce governed reporting output.

Built for financial institutions, professional services and complex enterprise reporting teams.

How it works

Built for real-world scale

Datox runs alongside the data infrastructure enterprises already have, consolidating the fragile reporting layer between source systems and the final report.

$600B+
AUM supported
95%
Faster Reporting
90%
Cost Savings

Reporting-speed and cost-saving figures are client-reported. Results vary by workflow and implementation.

How it works

Everything between your source data and your report.

One controlled workflow replaces the handoffs between spreadsheets, scripts, tools and inboxes that reporting usually depends on. Build it once, then run it every reporting period.

Explore the platform
Reporting workspace01 / 07
Source-to-report / configured workflow

Source files

PDF / CSV

Connected apps

API / SFTP

Databases

SQL / DATA

Source recordField mappingReporting model
Source identifier
Record reference
Entity data
Entity attributes
Local currency
Reporting currency
Source value
Reporting value
Rules & validation
Review & approval
Trusted reporting output
Illustrative workflow, not a live product session. Scroll to assemble the process, or select a stage below.
  1. 01 / 07

    Connect

    Excel, CSV, PDF, Word, SFTP, APIs, databases and existing systems.

  2. 02 / 07

    Extract

    Structure information from inconsistent or unstructured source documents.

  3. 03 / 07

    Enrich

    Resolve identifiers against reference data and append the attributes reporting needs.

  4. 04 / 07

    Transform

    Map, calculate, normalise and aggregate into the reporting model.

  5. 05 / 07

    Validate

    Business rules, reconciliations and framework checks raise exceptions early.

  6. 06 / 07

    Collaborate & Review

    Exception queues, comments, approvals and segregation of duties.

  7. 07 / 07

    Deliver

    Submissions, documents, working files, datasets and downstream systems.

Built into every step

Governance
Ownership, versioning and controlled change
Lineage
Source-to-output trace on every figure
Permissions
Role-based access and segregation of duties
Audit trail
Every action, rule and approval recorded

AI agents work across extraction, enrichment, mapping and investigation. Calculations, validations and pass/fail decisions stay deterministic. They run as the rules you configured, not as model output.

What Datox is

The automation layer between complex data and trusted reporting.

Datox is not a data warehouse and not a BI tool. It is the governed workflow that sits between the systems you already run and the reports people have to sign, collecting inconsistent inputs, applying your logic and controls, and producing an output you can defend.

Data enrichment

Turn incomplete source data into reporting-ready data.

Source systems rarely hand over everything a report needs. Datox can augment sparse or incomplete records with reference data, classifications, derived attributes and contextual fields, before transformation and validation run.

01

Source record

Incomplete for reporting

Record reference
present
Amount
present
Classification
missing
Entity & geography
missing

02 · Enrich

Reference & contextual data

Records are matched against reference and contextual data, with missing attributes appended or derived. Anything unmatched or ambiguous is raised for review.

03

Reporting-ready record

Illustrative attributes, configured per workflow

Entity attributes
Resolved
Classification
Standardised
Currency
Normalised
Geography
Assigned
Derived fields
Calculated

Reporting-ready before transformation

Records carry the attributes your mapping and calculation rules expect.

Reusable across report types

The same enriched record supports financial, management, operational, investor and regulatory reporting.

Gaps stay visible

Unmatched or ambiguous records are routed to review rather than inferred silently.

Enrichment lineage retained

Source value, enrichment result and reported field stay linked.

Solutions

Two solution families.
One automation layer.

Regulatory reporting and custom reporting automation look different from the outside. Underneath, both run on the same connectivity, enrichment, transformation, validation and lineage engine.

Family 01

Regulatory Reporting

Purpose-built automation for regulated reporting workflows, from fragmented source data through enrichment, validation and review to submission-ready output.

Illustrative filing structure, not a submitted report
  • Framework-specific logic and validations
  • Exception-based review, sign-off and audit trail
  • Structured, submission-ready outputs and evidence
Family 02

Custom Reporting Automation

Recurring reporting built around your own data, calculations, rules and output formats. Tailored results from a standard, configurable platform, not a bespoke consulting build.

Illustrative report pack, configured around your business
  • Your data model, your calculations
  • Recurring cycles run on schedule
  • Reports, files, datasets and dashboards

Shared automation layer

A platform capability underneath both families, not a separate product.

Data consolidation
Bring inconsistent sources into one reporting dataset.
Recurring workflows
Configure the cycle once, rerun it every period.
Multi-entity & multi-fund
Scale the same workflow across entities, funds and jurisdictions.

Any report.
Any format.

  • Regulatory XML & structured filings
  • PDF reports & investor packs
  • Excel report packs
  • Dashboards & BI datasets
  • APIs & downstream feeds
Reporting stack

Consolidate your reporting stack.

Datox consolidates the fragile layer between your data infrastructure and your final reports: preparation, transformation, validation, workflow and output. It sits on top of the warehouse, lake and BI tools you already run. It does not replace them.

Typical today8 handoffs
Source filesIngestion scriptsETL / orchestrationData warehouseTransformation layerValidation spreadsheetsEmail approvalsBI / reporting toolsReport, after manual checks

Ownership is split across tools and teams. Every change means another ticket, and every number needs re-checking by hand.

With Datox1 workflow
Sources

Files, systems, APIs, databases, documents

Datox

Connect · Extract · Enrich · Transform · Validate · Review · Deliver

Trusted output

Submissions, reports, datasets, dashboards

One owner, one audit trail, one place where the reporting logic lives.

AI & control

AI where it helps. Control where it matters.

Datox agents perform specific, evidenced tasks inside the workflow. What counts as correct stays a deterministic decision made by your configured rules and your reviewers.

Review the exceptions, not the entire report.

Quarterly reporting · NAV reviewAgent processed
Net asset value

1,284,930,442

Extraction confidence

96%

Source evidence
NAV_pack_Q3.pdf · page 14 · table 2
Transformation
FX-converted to EUR · aggregated across 4 feeds
Validation
Warning · 0.4% variance vs prior period
Rule set
Reporting rules v1.3 · 42 of 42 checks run

Illustrative review screen, sample data. Actions shown are part of the product, not active on this page.

What the agents do
  • Read PDFs, statements and system exports into structured records
  • Resolve identifiers and propose reference-data matches
  • Suggest mappings between source fields and reporting fields
  • Investigate variances and explain what changed since last period
  • Assemble the output in the required structure and format
What stays deterministic and yours
  • Calculations and validations run as configured rules, not model output
  • Thresholds, tolerances and pass/fail logic are yours to define
  • Low-confidence items are routed to a reviewer, never auto-accepted
  • Approvals and segregation of duties are enforced in workflow
  • Every agent action is recorded with its inputs, evidence and outcome

Traceability

Every number has a history.

Follow the NAV reporting line from its source evidence, through the applied rule, to the approved output. The full history connects extraction, enrichment, transformation, validation and review to the exact source cell, the evidence chain internal review, audit and stakeholder queries all ask for.

Source-to-output lineage
  1. Source evidence

    NAV_pack_Q3.pdf

    Page 14 · table 2 · cell D18

  2. Applied rule

    TR-114

    Ruleset v1.3

  3. Reported field

    Quarterly reporting pack · NAV line

    Approved output v4

Illustrative lineage for the NAV review above. Arrows show traceability links, not a worked calculation; conversion and aggregation inputs are not shown.

Full history: all six steps
  1. 01Source

    NAV_pack_Q3.pdf

    Page 14 · table 2 · cell D18 · ingested 04 Oct via SFTP

  2. 02Extraction

    1,284,930,442.00

    Document extraction · confidence 96% · evidence retained

  3. 03Enrichment

    Identifiers resolved

    Attributes appended from governed reference data

  4. 04Transformation

    Local currency → EUR at period-end rate

    Mapping and calculation rule TR-114 · ruleset v1.3

  5. 05Validation

    42 of 42 checks run

    1 warning · 0.4% variance vs prior period · accepted with comment

  6. 06Review & output

    Quarterly reporting pack · NAV line

    Approved 06 Oct · included in approved reporting output v4

Security & trust

Built for reporting you need to trust.

Reporting fails quietly. Datox is designed so that controls, evidence and oversight are part of the workflow rather than a review at the end.

ControlsEvidenceOversight
Security
Encryption in transit and at rest, role-based access and environment separation.
Auditability
Every input, transformation, rule and approval is recorded and retrievable.
Governance
Defined ownership, segregation of duties and controlled change management.
Source traceability
Each output traces back to its source, its logic and the person who accepted it.
Enterprise infrastructure
Deployment, availability and data residency options aligned to enterprise requirements.
Human oversight
Automation proposes; reviewers and approvers decide what is released.
AICPA SOC seal

SOC 2 Type II

Independent assurance report

Independently assessed against the Trust Services Criteria for security, over an operating period rather than a single point in time. SOC 2 Type II is an assurance report, not a certification.

ISO 27001 certified badge

ISO/IEC 27001

Certified

A certified information security management system (ISMS) covering the Datox cloud platform and its supporting IT, security, HR, legal, administration and physical security functions.

Security documentation, data-processing terms, hosting arrangements and current assurance status are shared directly with your security and procurement teams during evaluation.

Security & trust
Ecosystem & recognition

Built with leading technology. Recognised by the industry.

Datox, Microsoft AI Cloud Partner

Microsoft

AI Cloud Partner

Centre for Finance, Technology and Entrepreneurship and Financial Conduct Authority

Financial Conduct Authority

AI Lab Spotlight & Supercharged Digital Sandbox Academy

Pan Finance Award Winner 2025, Datox, AI-Powered Regulatory Solution, United Kingdom

Pan Finance

Best AI-Powered Regulatory Solution 2025

Grow London Global, Funded by UK Government

Grow London Global

Selected fintech, 2026

Oxford University Innovation, University of Oxford

Oxford Innovation Centre

Innovation ecosystem

Programme participation does not constitute regulatory endorsement.

Datox Pulse

A separate, free product.

Free regulatory and fund intelligence.

Explore regulatory updates, map fund jurisdictions, and create AI agents to monitor what matters.

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