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Never worry about inaccurate data again

First Rate uses pre-trained AI technology with a human in the loop to reconcile your data before it hits your book of record.
Talk to a Data Specialist

How is your data quality?

Reports and analytics are only as good as the data they receive. If data quality is low, reconciliation takes a lot of effort. Data quality problems can be easy to detect but tough to resolve.
Duplicate data
Inconsistent data representation across systems
Incorrect classification of data
Unbalanced entries

Recon issues can be over and done with

First Rate combines a pre-trained AI engine with a human process to reconcile all your data.
All data reconciled before it enters calculations or reports
Data errors reviewed and corrected by a human team
Machine learning algorithms improve based on past resolutions
Talk to a Data Specialist

What it looks like

Custodian Level Reconciliation
Portfolio Level Reconciliation
Security Level Reconciliation
Transaction Level Reconciliation

Collect daily transactions and positions

Compare with source statement

Exception management

Short market values

Identify and adjust untimely dividend

Returns in acceptable range

Asset allocation

Return comparison

Identify and flag pricing inconsistencies

Cash balance

Transaction classification

Trade reconciliations

Corporate actions

Large cash flow verification

Pricing mismatch

Asset class allocation

FX transactions

Determine trade quantities

Reconcile stock split

    How it works

    Reconciliation combines state of the art technology with white glove service to any downstream system.

    STEP 1

    Normalization

    Client Defined Normalization of data
    Custodian
    Portfolio
    Security
    Transaction
    Tax lots

    STEP 2

    Enrichment

    Proprietary Security Master
    Data Augmentation
    Data Classification
    Data Duplication
    Quality Monitoring

    STEP 3

    Human in the Loop

    Documents and Data Regarding Errors and Quality Issues
    Exceptions handlings
    Quality Control and Analysis

    STEP 4

    Transformation

    Client Defined Output Method
    Any Data Destination
    Tailored reporting
    Advanced analytics
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    Recon made comprehensive...

    ...and easy for you

    We believe in delivering the best tech and a human touch

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    At First Rate, we know manual data reconciliation is a challenge. It can be automated, but most firms don’t want to rely solely on an algorithm to reconcile their data.

    We developed a recon system that uses a pre-trained engine with a human in the loop. Our engine, ArtIE, pulls data from custodians, data providers, databases, and even unstructured data sources. A real person reviews and resolves data exceptions, so the engine continuously improves.

    The result is an automated, monitored recon process that cleanses your data before you use it for any calculations. We’re proud of it, and we think you will be, too.

    Talk to a Data Specialist

    Use Cases

    The most important piece of the financial aggregation process is to source, extract, and validate all data fields before sending them into downstream systems. From there, reporting, insights, and further innovation is possible.
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    Asset Management

    Relationship Type: Direct

    Challenge: The firm has a very manual and time-consuming process to consume and validate alternative investment information from the bank’s internal oversight and external fund managers. Quarterly documents can exceed 25,000.

    Outcome: Data Services is automating the statement-gathering process monthly, reconciling these documents, and providing the client with a back-office dashboard for review before going into downstream investment systems.

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    Family Office

    Relationship Type: Direct

    Challenge: The FO can’t trust the data they are receiving as part of an all-in-one solution. There are numerous errors in the data normalization and reconciliation process, making downstream analysis and insight impossible without manual intervention.

    Outcome: Data Services sources, validates, and reconciles all data fields in order to provide an extract into downstream systems—99.8% error-free automation process with a  human in the loop providing oversight.

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    Capital Management

    Relationship Type: Direct

    Challenge: The firm is unable to provide timely performance and reporting capabilities to their entire book of business because of disparate technology solutions.

    Outcome: Data Services provides 20 e-feeds direct to custodians, pulls all account information, handles daily calculations according to client specifications, and normalizes all data files in to specific outputs for consumption into their IBOR. The firm now utilities one system, not three.

    Better data is just a few steps away

    1

    Connect

    The first step is a conversation to understand your needs. This will help us determine if Vistarra is a good fit for you. There's no pitch and no commitment.
    2

    Whiteboard

    We don't operate in a vacuum. We'll collaborate with you and your existing technology partners to ensure we're crafting the best solution.
    3

    Work Together

    Once we agree on a solution, we'll present a detailed timeline to make it reality. Our goal is to build a system that meets your needs and scales with you over time.
    Talk to a Data Specialist