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What we do

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NewsWhy 100+ community banks backed SOLO

BY INDUSTRY

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  • Sponsor Banks
  • Banks
  • AI Builders

BY USE CASE

  • Identity Verification
  • Fraud Prevention / BSA & AML
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  • Ongoing Monitoring

Customer story

The Conversion Scorecard: How SOLO Optimizes Conversion Across the Industry

Output:Pre-Filled UISteps Skipped

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Georgina M.Founder & CEO

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How SOLO works

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SOLO’s Open Banking Network

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AI Builders

Governed data supply, defensible distribution.

Build and ship models, agents, and scores with co-invested, compliant banks and fintechs.

  • Explore Data
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Coastal community bank
Choice Bank
Banktech ventures
keeta
emprise bank
  • Impact
  • Outcomes
  • Implementation
  • Use Cases

Network advantages for
AI and model builders.

Bank-grade inputs

Regulated data sources are customer consented, auditable, traceable, and compliant to regulatory standards.

Defensible outputs

Build products that produce results, decisions, and outcomes that hold up in a regulated environment.

Resolution in real time

Retrieve customer consent, remediate adverse action, and keep data sets updated automatically.

Governed rails end to end

A compliant supplier becomes your best buyer in an ecosystem that upholds governance from source to decision.

What changes when you build
with governed data.

analytics runs on governed data

Explainability from input to outcome.

  • Full lineage for every data point
  • Clear audit trail across all inputs
  • Consent-linked data usage
  • No reliance on opaque sources

Simplify your data stack.

  • License directly from the source
  • Auditable, governed chain of custody
  • Real-time access to missing attributes
  • Reduced data cleaning and reconciliation

Turn supply into distribution.

  • Access reliable, consistent data sets
  • Enhance utility of your model
  • Incentivize customers to scale adoption
  • Operationalize in a pre-vetted network

Integrate without rebuilding
your pipelines.

Step 1: Connect to SOLO

Integrate via API into your data or decisioning layer.

Step 2: Define data requirements

Specify what attributes you need and policy for model standards.

Step 3: Query & resolve

Pull data from the network. If needed, resolve customer consent in real time.

Step 4: Feed models & decisions

Train, build, and ship products that regulated institutions can adopt.

Modules for analytics, modeling,
and decisioning.

Build a fraud model.

Build a fraud model.

Train fraud detection on confirmed-fraud signals shared across the SOLO network, not the partial view any single institution has alone.

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Build an agent.

Build an agent.

Ground your agents in licensed, network-verified data so every automated decision is traceable, consent-backed, and built on signals from real institutions.

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Build a lending agent.

Build a lending agent.

Power underwriting agents with licensed income, asset, and cashflow data with full lineage from source institution through to credit decision.

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Personalize customer roadmaps.

Personalize customer roadmaps.

Tailor financial pathways to each customer's verified income, cashflow, and credit profile, sourced from network data with full lineage and consent.

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Build a cashflow score.

Build a cashflow score.

Build the next generation of credit decisioning on lineage-backed cashflow data, sourced from the same institutions that will adopt your score.

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