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Reduce Manual Matching by up to 80%.

Operartis plugs into your existing reconciliation system and automates the post-rules residual transactions your team has to manually match - without replacing the tools they already use.

FINANCE OPS

I Manage Finance Ops

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See how much of your team's matching is still manual, and what cutting it is worth.

TECHNICAL TEAMS

I Build Reconciliation Systems

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Test how your matching logic holds up on real-world transaction patterns.

Fewer breaks to clear by hand. Every control stays yours.

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It learns your data, then gets better at matching it.

Matchimus adapts to your transaction patterns over time. The more it runs, the more accurate it gets - and the less your team touches manually.

Typically 60-80% less manual matching than rules-based engines.

Measure My AI Uplift
Diagram: transaction data flowing into Matchimus, with matching performance improving over time

Tier 1 security your compliance team can sign off on.

Matchimus has passed Tier 1 model governance and security reviews.

Deploy on-premise or in the cloud. Either way, your data stays within your control and your regulatory requirements stay met.

Security & Compliance
Diagram: Matchimus security and compliance controls, including model governance, security review, regulatory readiness and cloud or on-premise deployment

See your ROI before you commit.

We run a Proof of Value assessment on your data and give you a report showing your match rate improvement and ROI - before you sign anything.

Example Proof of Value report showing match-rate improvement and estimated ROI

Designed for Precision

Dashboard showing match statistics and hours saved

Higher match rates

Better than the industry standard, benchmarked against your own data before you commit.

Daily statistics panel showing 55.6 hours saved

Works with what you have

Connects to your existing stack. No rip and replace.

60-80% less manual work

Your team focuses on exceptions, not every transaction.

ROI before you sign

We run a Proof of Value assessment on your data first. You see the numbers before making any decision.

Our Core Capabilities

Match rate panel comparing an 83% original automatch rate with 96% using Matchimus

Time Saving

Cut manual matching by 60-80% compared with market-leading rules engines.

Get Started
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Security Compliance

Secure to Tier 1 banking regulatory controls

Talk to an Expert
Match trend chart comparing original and Matchimus match rates

Reports

Automatic, ongoing performance monitoring to keep your reconciliations optimal.

Get Started
  • The BenchRec Framework

Evaluate Your  Reconciliation Logic

Download the BenchRec dataset to test your own system, or submit a sample and we'll run the audit for you.

Rules-based matching has a ceiling. BenchRec shows you where yours is - and how much accuracy you're leaving on the table.

Finance professional holding reconciliation reports

Two Ways to Get Started

We run it for you

Submit your data. Get a tailored Proof of Value report.

Upload a sample to the Workbench and we’ll run it through Matchimus.

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What you get:

  1. Your baseline vs. boosted match rate, side by side.

  2. The mismatches your current process missed.

  3. Hours saved per cycle, ready for your steering committee.

Format

Secure upload · Zero-PII

Output

Proof of Value report

Secure Portal Login / Register

Estimate it yourself

Run BenchRec against your own system.

Run the public BenchRec dataset (ACM ICAIF 2023, free on Kaggle) through your current matching process, then score it with our script.

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What you get:

  1. A match-rate baseline you can compare with any vendor’s published score.

  2. An estimate of what AI matching would add, measured against Matchimus’s BenchRec score.

Format

CSV

Best for

Internal validation

Access Dataset on Kaggle

Measured on your data

  • Security

Institutional-Grade Data Governance

You don't need to submit sensitive identifiers or live account data. Everything runs under a Zero-PII framework - anonymised before it reaches us.

Operations analyst wearing a headset at a computer

01/

No personal data icon

Anonymised before upload

Use our mapping schema to anonymise your data before it leaves your environment.

02/

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Encrypted in transit

Uploads are encrypted in transit over HTTPS, and no personal data is needed.

03/

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Reviewed by our team, delivered to yours

Your report is prepared by our technical team and returned to your secure Workbench - no email attachments, no shared links.

Prepare Your Data
  • What you get back

The Data for the Business Case

Your Uplift Report gives your finance director and steering committee three specific outputs:

01

Where your rules break down

The exact transaction types and narrative patterns your current logic can't handle - and how many of them there are.

02

How much of your team's time is manual

A projected reduction in manual touchpoints based on your actual exception volume - expressed as FTE time and cost.

03

How your system handles what's coming next

A score showing how well your matching logic copes with new narrative patterns - without needing rule updates or manual fallback.

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  • Your starting point

Know where you stand before you change anything.

Upload your data and get a clear baseline for your match rate, manual intervention rate, and the gap Operartis closes.

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For finance operations

I Manage Finance Ops

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See how much of your team's matching is still manual, and what cutting it is worth.

  • Your Manual Intervention Rate (MIR)

  • FTE hours and cost you could save

  • Figures ready for your business case

Measure My Baseline

For reconciliation and data teams

I Build Reconciliation Systems

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Test how your matching logic holds up on real-world transaction patterns, without sharing any PII.

  • A score for how your logic handles new narratives

  • Zero-PII schema to map your files

  • Exception-level diagnostics

Test My Data
  • What you get back

Test it safely, without touching production.

Everything runs on historical data in an offline layer. Nothing touches your live production systems until you decide it should.

Stage 2

Move to assisted matching (Human-in-the-Loop).

High-confidence matches go to Matchimus. Lower-confidence ones go to your analysts. Your team's workload drops without losing control.

  • Only the matches that need a human get one.

  • Analysts accept or reject - and you track exactly how much time that saves.

What this eliminates:

The reputational and model risk of AI making unsupervised decisions.

Stage 1

Start in shadow mode.

We run alongside your existing process. Your team keeps working as normal - we just compare results.

  • Matchimus produces match recommendations with confidence scores.

  • Your team compares results against your current engine.

  • ​You receive an uplift report showing exactly where Matchimus outperforms your current logic.

What this eliminates:

The risk of a bad match affecting live operations or causing payment errors.

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  • Your starting point

A staged rollout on your terms.

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Stage 1: Shadow mode

  • Runs on your historical reconciliation files

  • Returns an uplift report - match rate, accuracy and exception breakdown

  • You only move to Stage 2 when the numbers hit agreed thresholds

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Stage 2: Assisted matching

  • High-confidence matches go to Matchimus

  • You track acceptance rate, time saved and remaining exceptions

  • Automation only expands once the eligible slice hits threshold

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Stage 3: Partial automation

  • Start automating the safest transaction category only - exact matches with supporting rules

  • Everything else stays in assisted mode

  • The automated slice only grows after sustained reliability is confirmed

Improving reconciliation auto-matching for a leading European bank

European bank: 79% to 94% auto-matched

How a leading European bank lifted its automated match rate from 79% to 94% with Matchimus.

Read the results
Tier 1 bank enhances trade settlement reconciliation

Case Study - Reconciliation Automation and AI in the Finance Industry

How a financial institution applied AI matching to its reconciliation and exceptions management.

Read the results
How machine learning matching saved a reconciliation team

Retail Case Study: How Machine Learning for Matching Saved a Reconciliation Team

How a retail reconciliation team cut its manual matching with Matchimus.

Read the results
General ledger to bank statement reconciliation

AI in the Financial Industry: General Ledger Reconciliation for a Major Credit Card Provider

How a major credit card provider used Matchimus to cut manual effort on its general ledger reconciliation.

Read the results

customer stories

Our Solution and Support

Smiling finance professional at her desk

Pinpoint, calibrated accuracy

Matchimus weighs every possible match before it commits, so it stays accurate even when your transaction data is messy.

Finance professional holding a folder

Smart monitoring

Matchimus machine learning algorithms have been purpose-built specifically for transactional data matching taking into account the operational characteristics of the matching process. This includes self monitoring which automatically keeps each matching model up to date to handle ongoing changes in the operational data.

Smiling team member with arms crossed

Industry inspired

Based on our experience with reconciliations in the banking industry our team set out to develop the industry's most effective and accurate transaction matching system.

Technical lead holding a laptop

Dedicated Customer Success Team

Operartis supports some of the largest financial institutions and fintech companies. Email or call us and you'll reach the same experienced team every time. No call centres, no chatbots.

Pricing plans to fit your needs

Annual & Pay As You Save

Along with annual licence models we also offer 'pay as you save' pricing plan options, so you avoid the large upfront capital costs usually associated with software installations and guarantee your ROI.

Modular Packages

Module packages range from low-cost micro instances all the way up to enterprise level with source code licence options, so whatever your needs we have a package to suit you.

Transaction-Based Pricing

Our transaction-based pricing option is a small fraction of the cost of your manual effort, so your ROI kicks in from day 1. Volume discounts mean the higher your manual matching volumes, the lower our per-transaction fee and the bigger your savings.

Pricing Information
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60-80% MANUAL
MATCH SAVING

No infrastructure change. Immediate reduction in manual effort.

Matchimus connects to your existing reconciliation setup and starts reducing manual work from day one. No replacement of existing systems required.

Measure My AI Uplift

See what Operartis does on your data.

01

Fill in the form and we'll be in touch to arrange your assessment.

02

We run your data through Matchimus and return a report showing your match rate improvement and ROI - before you commit to anything.

Analyst reviewing data on screen

General Enquiries:

+1-212-810-0264

customer care:

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Book your Proof of Value

Tell us about your reconciliation and we'll arrange a run on your data. You'll get an Uplift Report before you commit.

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