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Data Spokes

Where Data
Becomes Useful

Raw data is noise. Connected, translated, and governed data is a decision. Data Spokes is the protocol layer that turns one into the other.

Connect Every Source—Translate In-Pipeline—Govern Automatically
Get StartedSee How It Works

What It Is

One protocol for every data source

Data Spokes is Vantage's universal connectivity layer. It connects to your databases, SaaS platforms, APIs, and AI services through a single, uniform interface — so once you understand one connection, you understand all of them.

Databases — PostgreSQL, MongoDB, Redis, BigQuery, and more
SaaS Platforms — Slack, Jira, Stripe, GitHub, Salesforce, and 40+
Any REST API — Connect custom APIs by defining their structure — no code
AI & MCP — OpenAI, Claude, Gemini + Model Context Protocol servers
Data Spokes hub-and-spoke architecture — Vantage at the center connected to databases, SaaS, APIs, and AI

Every connection speaks the same protocol. Data arrives normalized — rows and columns — regardless of whether it came from PostgreSQL, Slack, or an AI model.

How It Works

Three steps. Zero code.

01

Zero Downtime

Connect without disrupting what's running

Data Spokes layers on top of your existing systems — no migrations, no cutovers, no maintenance windows. Your databases and services stay exactly where they are while Vantage reads from and writes to them in real time.

PostgreSQLSlackStripeREST APIVANTAGEData Spokes
02

Modernize Fast

Upgrade your data stack in days, not quarters

Stop waiting on 6-month integration projects. Point Data Spokes at any database — legacy or modern — and start building dashboards, workflows, and AI agents immediately. No custom connectors to maintain.

Upgrade your data stack in days, not quarters
03

No Confusion

One interface for every data source

Every connection works the same way. Your team learns one protocol, one set of tools, one way to transform data — whether it comes from PostgreSQL, Salesforce, or a custom REST API. No more context-switching.

One interface for every data source

Use Cases

What it looks like in practice

Real organizations using Data Spokes to turn disconnected systems into actionable intelligence.

Financial Services

Unified reporting across 12 banking systems

Challenge: A regional bank had customer data scattered across core banking, CRM, loan origination, and compliance systems — each with its own API and format.

Solution: Data Spokes connected all 12 systems through a single protocol. Compliance reports that took analysts 3 days now generate automatically in minutes.

3 days → 8 minutesReport generation
Healthcare

Real-time patient data across care facilities

Challenge: A hospital network couldn't get a unified view of patient care across 6 facilities using different EHR systems, lab platforms, and scheduling tools.

Solution: Data Spokes normalized patient data from all sources into a single dashboard. Care coordinators see real-time status across every facility without switching systems.

6 systems → 1 viewUnified patient dashboard
Logistics

AI-powered fleet optimization with live data

Challenge: A logistics company wanted AI agents to optimize routing, but their fleet tracking, weather, and order data lived in completely separate systems.

Solution: Data Spokes gave AI agents the same data access as human dispatchers. Agents now pull live fleet positions, weather forecasts, and order queues to recommend optimal routes.

23% reductionFuel & time costs
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Governed
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