AI collaboration layer for your apps

One AI hub powering many apps — with clear cost and clean control.

BrainBus is a cutting-edge web app that lets your products share a single, well-governed AI layer. It was developed by Venturelogix to route model calls, track usage, and keep AI infrastructure sane as you scale.

For founders and product teams, BrainBus means: one integration instead of six, predictable bills instead of surprises, and a clear story your investors can understand when they ask how AI is wired into your stack.

See what BrainBus does View pricing & plans

Designed for

Modern SaaS & agents

Optimized for

Cost & performance

Backed by

Venturelogix studio

At a glance

What BrainBus gives your team

• A single API endpoint for all your apps to call.
• Per-app API keys and usage tracking for clean billing.
• Smart routing across leading AI models via one integration.
• A straightforward story your team, buyers, and investors can trust.

Built by Venturelogix

BrainBus is part of the Venturelogix product stack — the same studio that prototypes, pressure-tests, and spins out AI-first web apps. It exists because managing AI across multiple products shouldn’t be a pile of one-off scripts and wishful thinking.

What BrainBus does for your stack

At its core, BrainBus is an AI collaboration and routing layer. Instead of each app integrating directly with every model provider, they all talk to BrainBus.

One integration, many models. Your apps call BrainBus; BrainBus speaks to providers like OpenAI, Anthropic, Mistral, and others via a single upstream connection. Swap or add models without redeploying every product.
Per-app keys and clean separation. Each web app, micro-service, or agent gets its own API key. That means per-app usage, per-app limits, and a clean picture of what’s actually driving spend.
Usage & billing handled by design. BrainBus tracks calls, applies your plan rules, and exposes clear usage data. It’s built to support pay-per-call APIs, monthly tiers, and reseller-style flows.
A story you can actually explain. When a customer, partner, or investor asks “how does AI flow through your product?”, BrainBus gives you an answer that sounds like a system, not a guess.

Example: your app calling BrainBus

POST https://api.brainbus.net/ai

{
  "api_key": "app_xxx_key",
  "query": "Draft a welcome email for new users",
  "context": {
    "product": "Your SaaS Name",
    "tone": "friendly, concise"
  }
}

BrainBus authenticates the key, selects the right model strategy (fast single model or a panel), forwards the request upstream, and returns the response to your app — along with usage info you can use for analytics or billing.

How BrainBus works under the hood

BrainBus was built to be boring in the right ways: predictable, inspectable, and easy to reason about. Under the hood it’s a routing and metering service with a very simple mental model.

1. Your app sends a request.
You send a JSON request with your api_key, a query, and any relevant context.
2. BrainBus authenticates and classifies.
BrainBus looks up the app, its plan, whether it’s in test mode, and how many calls it has made within the current period.
3. The right model path is selected.
Based on your configuration, BrainBus uses a cost/latency profile (e.g. “fast”, “balanced”, “best quality”) to route the call through the appropriate upstream model or combination of models.
4. The answer is returned and usage is logged.
The response goes back to your app; BrainBus logs a usage record with model, call count, and pricing metadata for analytics and invoicing.

Why teams like it

Easier to integrate, easier to explain

Your engineers get one stable interface. Your non-technical stakeholders get one clear diagram. Everyone knows where AI lives in the architecture.

Control over cost without handcuffing innovation

Plans, limits, and usage metrics live in BrainBus, not spread across a half-dozen dashboards. You can experiment with new AI features without losing sight of what they cost.

Future-proofed vendor strategy

Providers change, prices move, models evolve. BrainBus keeps your apps steady while you adjust the routing and model mix one level below them.

Simple, founder-friendly pricing

BrainBus is priced so you can start with a single project and comfortably grow into multiple apps without renegotiating every time. You only pay for usage; BrainBus exists to keep that usage efficient.

All plans include: per-app API keys, usage logging, routing engine, and basic analytics.

Starter

$29/mo

Up to 500 AI calls/month.

• Ideal for prototypes and low-volume apps.
• One or two projects getting their footing.
• Clear path to Pro as usage grows.

Trust, data, and due diligence

If you’re evaluating BrainBus as part of your startup’s AI infrastructure, you should understand how it behaves. BrainBus was built to be transparent by design.

Data handling you can reason about.
BrainBus focuses on metadata: which app called which route, how often, and at what cost. Your upstream model providers handle the heavy lifting on prompt processing. BrainBus doesn’t try to turn your prompts into another opaque data product.
Separation of concerns.
Application logic stays in your app. Model behavior stays with the AI providers. BrainBus stays in the middle, routing and metering. That separation keeps each layer easier to inspect and replace.
Built by a product studio, not a faceless reseller.
BrainBus is developed and used by Venturelogix, a private product studio that builds and sells real AI ventures. The infra has to work in practice before it’s ever offered to anyone else.

For your checklist

• Clear API boundary and single endpoint.
• Per-app keys and usage for attribution.
• Model routing & pricing logic visible at config level.
• Simple architecture: web app + routing layer + upstream AI.

If you’d like a deeper architecture walkthrough as part of technical due diligence, BrainBus can be presented alongside your existing system diagrams so stakeholders can see exactly where it lives and what it touches.

Request a technical overview →