Question 1

What is MOGOPLUS?

Accepted Answer

MOGOPLUS (mogoplus.ai, Sydney, founded 2013) provides vertical agentic AI for the lending and credit lifecycle. Its AI agents automate critical components of the consumer and SME loan lifecycle, including income verification, creditworthiness analysis, and application processing, turning unstructured bank-transaction data into structured, categorised outputs for faster and more accurate lending decisions. The platform is delivered through a documented API with SDK support and a sandbox, on pay-per-call usage-based pricing with no platform fees, and integrates with loan origination systems, open banking or CDR data through partners, the Provenir Data Marketplace, and Google Cloud Marketplace. Products include GoCat for data categorisation, GoVerify for income verification, GoLend for affordability, GoSwitch for account switching, and a Mortgage Stress Predictor. The company is building an internal Agentic AI Factory to develop and deploy further specialised agents, and counts several Tier 1 Australian banks and a large Middle Eastern bank among its customers. It raised about 1.5 million Australian dollars from New Model Venture Capital.

Question 2

How much does MOGOPLUS cost?

Accepted Answer

Pay-per-call, usage-based pricing with no platform fees. A free trial with sandbox access is offered with no credit card required; a dedicated onboarding engineer supports the move to production.

Question 3

What does MOGOPLUS integrate with?

Accepted Answer

Documented API and SDK, integration with existing loan origination systems, open banking and CDR data access through partners such as Wych and Adatree, the Provenir Data Marketplace, and Google Cloud Marketplace with bring-your-own-data.

Question 4

Who is MOGOPLUS for?

Accepted Answer

Banks, Non-bank lenders, Credit unions, Digital lending platforms

Question 5

What are the best alternatives to MOGOPLUS?

Accepted Answer

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to MOGOPLUS among enterprise operations agents are Deposco, IBM Sterling, Infor, Manatal. Each is graded on the same public evidence, and no vendor pays for placement.

Question 6

Does MOGOPLUS support MCP and tool calling?

Accepted Answer

Full under the Agentic Index verification standard. MOGOPLUS publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: mogoplus.ai: full API and SDK support with one-API integration and Insights-as-a-Service for embedding into lender systems. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 7

Does MOGOPLUS have SOC 2, SSO and role based access control?

Accepted Answer

Partial under the Agentic Index verification standard. MOGOPLUS publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: mogoplus.ai: a rules engine and real-time monitoring support regulatory compliance and responsible lending, with data privacy stated as a priority; specific certifications not documented. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Question 8

Can MOGOPLUS be self hosted or run in a private VPC?

Accepted Answer

Partial under the Agentic Index verification standard. MOGOPLUS publishes some public evidence on deployment and data residency, but narrower than a documented self hosted or private VPC option. Evidence basis: mogoplus.ai: Google Cloud Marketplace, bring-your-own-data, and modular cloud deployment; explicit residency options not documented. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Integrations & Tool Callingmogoplus.ai: full API documentation and SDK support, connecting to loan origination systems, the Provenir Data Marketplace, Google Cloud Marketplace, and open banking or CDR data via partners.	Full
Workflow Orchestrationmogoplus.ai: agents automate components of the loan lifecycle such as income verification and application processing; broader agentic orchestration is emerging via the internal Agentic AI Factory.	Partial
Knowledge Grounding & RAGmogoplus.ai: makes sense of unstructured bank-transaction data and converts it into structured, categorised outputs; not general RAG.	Partial
Human Oversight & Guardrailsmogoplus.ai: assisting agents augment human credit officers, who retain the lending decision; no configurable oversight controls documented.	Partial
Security, Identity & Governancemogoplus.ai: a rules engine and real-time monitoring support regulatory compliance and responsible lending, with data privacy stated as a priority; specific certifications not documented.	Partial
Observability & Auditabilitymogoplus.ai: real-time monitoring plus audit and compliance mechanisms across decisioning.	Partial
Memory & State PersistenceNo agent memory or state persistence documented.	Unable to verify
Deployment & Data Residencymogoplus.ai: Google Cloud Marketplace, bring-your-own-data, and modular cloud deployment; explicit residency options not documented.	Partial
Prebuilt Agents / Templates / Packsmogoplus.ai: prebuilt lending products GoCat for categorisation, GoVerify for income verification, GoLend for affordability, GoSwitch for account switching, and a Mortgage Stress Predictor.	Full
Triggers & Channel Coveragemogoplus.ai: real-time, API and event-driven decisioning on application submission; no broad trigger or channel system documented.	Partial
Model Flexibility & RoutingProprietary models power decisioning; no user-facing model choice or routing documented.	Unable to verify
APIs / SDKs / MCP Extensibilitymogoplus.ai: full API and SDK support with one-API integration and Insights-as-a-Service for embedding into lender systems.	Full
Testing, Debugging & Optimizationmogoplus.ai: a sandbox to run categorisation and affordability analysis against test data, plus continuous model improvement as more applications are processed.	Partial
Browser / Computer-useNo browser or computer-use capability documented.	Unable to verify

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