Every AI in Your Credit Union. Inventoried, Governed, and Examiner-Ready.

gravityAI is the platform where your team builds, deploys, and governs every model and agent inside your own cloud. Member data stays in your environment, governance rides along with every deployment, and your next exam has a paper trail waiting.

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gravityAI platform overview: AI deployment inventory with risk levels, the core/data/models/third-parties model, and the governed model catalog

The AI Deployment Problem

Three barriers holding credit unions back.

Deployment Friction

Teams are siloed, so every production deployment is slow and brittle. Moving a single model into production typically costs $250k or more and takes six months.

Lack of Visibility

Large organizations run thousands of models scattered across business units with no centralized oversight, which creates governance, compliance, and regulatory exposure.

Trapped Value

Models built for one product line rarely get reused across the organization, leaving the ROI on AI investment well below its potential.

Start With Everything You Already Have Running

Most credit unions have more AI in production than any one person can name. A fraud score here, a vendor chatbot there, a spreadsheet macro someone built last quarter. Larger shops run thousands of models scattered across business units with no central oversight, and that gap is where governance, compliance, and regulatory exposure live.

gravityAI brings four moving parts, your core, your data, your AI models, and your third parties, onto one platform where each one is inventoried, risk-rated, and governed.

Four moving parts joined as puzzle pieces: your core, your data, your AI models, and your third parties
gravityAI catalog listing deployed models and connectors with published and in-progress status
One AI Inventory
Every model, connector, and agent you deploy through gravityAI lands in a single catalog. View all of your AI deployments and their risk levels in one screen, so nothing runs in the dark.
Risk and compliance screen where each deployment is assigned a risk level from minimal to highest
Governance Built Into the Artifact
Assign a risk level to each piece and governance travels with it as a property of the artifact itself. The controls hold whether the model runs in a workflow, an API call, or an agent. You set governance once and it holds everywhere that artifact runs.
Model documentation workflow covering risk and compliance, black box decision making, and privacy risks
Exam-Ready Documentation
Model cards, audit logs, and access records generate as your team builds. When NCUA or a third-party risk review asks how a model works and who can touch it, the answer is already written. Built-in tooling covers the 5300 Call Report and the rest of the compliance stack.

Deploy in your own cloud, a virtual private cloud, or fully air-gapped on-premises

Role-based access, so the right people see the right models

Version history and rollback on every deployment

Risk levels and approval steps before anything reaches a member

Describe It in Chat. Pick Your Model. gravityAI Builds It.

gravityAI connects directly with your LLM provider, so your team describes a task in plain language and the platform assembles a working agentic workflow, with tools, guardrails, and an audit trail attached. Complex workflows that used to take a quarter now take about 30 minutes.

Prompt: "Build an analytics pipeline that analyzes NCUA public data and outputs a presentation."

Result: gravityAI assembles the full workflow automatically, from starting inputs through an NCUA analysis pipeline, an agent step, and a presentation builder, to final outputs. Every node stays editable and governed.

Agentic workflow assembled from a chat prompt: starting inputs, an NCUA analytics pipeline, an agent step, a presentation builder, and final outputs
Deployment dashboard showing total deployments, production count, unclassified count, and a risk-level breakdown by model and team

Prompt: "Show me a portfolio health dashboard for Q2 2026, pull the latest from our core."

Result: Through MCP (Model Context Protocol), the model calls gravityAI, which queries your core provider and returns a live portfolio-health view. Chat with your data and tools, live from your core.

Choose your LLM. Bring the model you have approved, whether it is a commercial API or one running inside your own walls.

Connect to your core and tools. MCP wires the agent to your live data and systems, with permissions set up front.

Guardrails by default. Iteration limits, cost caps, and tool permissions are set before the agent runs even once.

Governed like everything else. Every agent inherits the same inventory, access controls, and audit log as your models.

Three Steps to a Governed Agent

Step 1
Pick your model

Choose the approved LLM for the job.

Step 2
Describe the workflow

Say what it should do, in plain language.

Step 3
Ship it governed

Deploy into your own environment with controls attached.

AI Training, Built Around Your Credit Union

Software moves faster when your people know how to use it well. Our training program is led by a world-class instructor with over ten years of experience teaching organizations how to put AI to work responsibly.

Governance best practices. How to keep AI documented, controlled, and ready for examiners from the first day.

AI opportunity assessment. A structured look at where AI creates real value in your operations, and where it should wait.

Customized to your stack. Sessions built around your organization's needs, including the specific LLM your team uses.

Prompting best practices. Practical technique your staff can apply the same afternoon.

Real credit union use cases. Examples drawn from how other credit unions are already using AI in lending, member service, and the back office.

Led by an instructor with 10+ years running AI trainings for regulated organizations.

Value on Day One. Dozens of Workflows Ready to Run.

Your team does not start from a blank canvas. Your workspace ships pre-loaded with proven workflows for every department. Every one is governed, examiner-ready, and tuned to your data, with no build time required.

Lending

• Loan portfolio risk scoring

• Credit memo drafting

• Delinquency early-warning

Risk and Compliance

• NCUA 5300 Call Report analysis

• BSA / AML transaction monitoring

• CAMELS-lite peer benchmarking

Member Experience

• Call summarization and QA

• Member sentiment and NPS scoring

• Inquiry triage and routing

Marketing and Growth

• Member segmentation

• Cross-sell recommendations

• Churn prediction

Finance and Accounting

• Budget variance analysis

• ALM and liquidity reporting

• Board deck generation

Operations and HR

• Policy and procedure Q&A

• Vendor due-diligence review

• Employee helpdesk assistant

Speed and Control, Better Than Anyone

10x cheaper

Yearly labor savings

10x faster

AI deployment

15x ROI

Faster prototyping and reuse

"It is like having a full team of ML engineers at your disposal for a fraction of the cost."

How We Support You

Platform Training

We train your team to build, deploy, and govern on gravityAI, so the platform becomes something your people own and operate with confidence.

We Build Your First Use Cases

Our team stands up your first working use cases with you, so you see real value in your own environment before you scale.

Your Forward-Deployed AI Team

Through our consulting services, we act as your forward-deployed AI team, building alongside your staff for as long as you need us.

Built by Operators From Regulated Industries

Daniel Huss, CEO

Ex-BCG Digital Ventures. Former Head of Product, State Street.

Jon Huss, CTO

Ex-Novartis engineer. Former CTO, cybersecurity.

Questions CIOs and Risk Officers Ask

Yes. gravityAI supports air-gapped, on-premise, and secure cloud deployments, with built-in compliance tooling for stringent regulatory requirements.

Most clients go live in 4 to 6 weeks, with optional customization and training tuned to your organization and existing infrastructure.

Enterprises across finance, healthcare, and the public sector, where compliance needs are high and AI requirements are sophisticated.

No. gravityAI serves both technical and non-technical users through a no-code UI, with a robust API layer for advanced customization.

Imagine What You Could Build for Your Members.

One platform to build it, deploy it in your own cloud, and prove it is governed. Let us walk you through it.

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