🐋Now accepting early access signups

AI costs are
unpredictable
TallyWhale
makes it manageable.

The profit-protection firewall for AI SaaS, enforce token budgets and protect margins without proxying your LLM traffic.
Fine-grained limits. Zero surprises.

Join 100+ founders/developers already on the waitlist. No spam, ever.

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Saved Today
$127.11
-23%
Blocked
1,847
requests
Downgrades
312
auto
🛑user_8f2a exceeded 50k token limit2s ago
⬇️gpt-4 → gpt-3.5-turbo for free tier5s ago
💰Loop detected, request terminated12s ago
🐋 whale detected!
Costs down 34%
The Problem

The Six Profit Killers in AI SaaS

If your margins are unpredictable, one of these problems is silently burning your budget. Sound familiar?

Unpredictable costs

Runaway loops, viral users, long PDFs, retries, and spikes can triple your bill with no warning.

Free tier and trials that drain more than they earn

Free-tier and trial users regularly consume 20-40% of total usage and often abuse AI features.

No visibility into true costs

You don't know which users, features, or plans are draining money. Everything is scattered across logs, dashboards, and provider consoles.

Multi-tenant chaos

High-consumption "noisy tenants" burn disproportionate resources, yet you lack the granular controls needed to cap usage without negatively impacting standard customer experience.

Missing User-Level Budget Enforcement

Provider caps are blunt: they only apply to your master account. This prevents you from setting and enforcing practical usage limits per user, feature, or plan tier before a blowup occurs.

Silent Cost Multiplication from Model Misuse

Small application mistakes, bad defaults, or simple user choices are routing traffic to expensive models unnecessarily, leading to hidden, recurring costs that are difficult to track and contain.

Solutions

Tallywhale gives you real control

Outcomes, not complexity. No gateway required.

Per-user token caps

Set strict limits to prevent any single user from draining your entire monthly budget.

Feature-Level Budgeting

Pinpoint which product features are profitable and which are silently burning cash.

Tiered Model Access

Automatically restrict expensive LLMs based on user plan (Free users stay cheap).

Auto-downgrades for expensive models

Switch GPT-4 to GPT-3.5 automatically when limits are hit. No surprises.

Spike and loop detection

Catch runaway prompts before they rack up hundreds of dollars.

Zero-Proxy integration in 5-15mins

Add one webhook and you're done. Protect margins without routing through a gateway.

Free-tier abuse protection

Block trial users from hammering your AI features.

Cost forecasting

See next month's bill before it happens.

Centralized usage analytics

One place to see who's burning tokens and why.

Slack alerts for anomalies

Instant alerts when something goes wrong, not after the bill arrives.

How it works

A

Your app sends metadata

User, feature, model, estimated tokens.

B

Tallywhale checks your rules

Plan limits, feature budgets, model restrictions, spike detection.

C

Tallywhale returns a decision

Allow, block, warn, downgrade.

D

Your app continues normally

Safe, predictable usage. No surprises.

Ready to stop the bleeding?

Join the waitlist and be the first to know when Tallywhale launches. Early access members get first month free.

Join 100+ founders/developers already on the waitlist. No spam, ever.

FAQ

Questions? We've got answers.