Rana Brain
Rana Brain: an AI model optimizer — and much more.
Rana Brain is the routing, grading, budget-cap, and metering platform underneath every Rana product — the same engine that runs Rana Dive and every Rana Plug-in.
AI is easy to buy and hard to run well. Most businesses that adopt an AI tool end up on one model, at one price, with no way to know whether today's answer was actually worth what it cost, or whether tomorrow's provider outage takes their AI feature down with it. Just one percent of business leaders, per a 2025 McKinsey survey, call their AI deployment genuinely mature — not because the models aren't good enough, but because nobody is managing them like real infrastructure.
Rana Brain is that management layer. It routes every request to whichever model actually gives the best quality for the money on that specific kind of task, grades every response before it's billed, enforces real budget caps before a request goes out rather than after the invoice arrives, and falls back automatically when a provider has a bad day. Businesses don't buy Rana Brain directly — they get it built into every Rana plug-in and API, so the smarts, the safety net, and the cost control travel with every feature it powers.
Why Rana Brain is different
Value-based routing
Every request is routed across a real evaluated model pool by quality-per-dollar for that task category — not just 'always pick the cheapest model.'
You never pay for a bad answer
Every response is graded. A response that grades below quality threshold is a $0 chargeback — you are never billed for a response that grades low, and it is automatically retried on a stronger model.
Budget caps that actually hold
Hierarchical company → sub-company → user spend and request caps are enforced before the call is made, not after the bill arrives.
Provider outages don't become your outages
An automatic fallback chain moves to the next-best model when a provider errors or rate-limits.
Built-in abuse & safety moderation
Every request passes a moderation gate before it ever reaches a model.
Optional prompt optimization
Vague or underspecified prompts get rewritten against four building blocks — Role/Context, Task, Audience, Format. For tasks where exact wording, tone, or phrasing matters, turn it off and send it as-is.
Security is built in, not bolted on
Every Rana plug-in, API endpoint, and feature shares the same security posture: a user-provided prompt is treated as potentially suspicious input by default, not trusted text. Every request is validated, scoped, and constrained before it ever reaches a model or a database.