A CATEGORY OF ONE
Stinger isn't a tool you add to your business. It's the operating system it runs on.
A point tool sits on top of a business and does one job. An operating system sits underneath it and runs the whole thing: routing the AI work, guarding the spend, isolating every account from every other, and keeping a real record of what happened and why. That's the layer Stinger Industries builds.
The category
An app answers one question. An operating system runs the business.
A chatbot that answers customer questions is an app. A form that drafts a proposal is an app. Stack enough apps together and you still don't have a business running itself, you have a business with more logins. Stinger Industries was built as the layer underneath all of it: the thing that decides which AI model handles a given piece of work, keeps every client's data in its own walled compartment, stops spend before it becomes a bill nobody approved, and writes down what happened so there's a real record to point to later. That's infrastructure, not a feature.
Cross-provider AI routing, with failover
Every request Stinger's AI handles is routed to the model built for that job. A quick classification doesn't get routed the same way as a complex reasoning task. If the first provider a request is routed to fails, the system automatically retries against a different one before giving up. The business never sees the failure; the work just completes.
A workspace that refuses, it doesn't default
Every account's data (sessions, settings, usage history) lives in its own compartment, keyed to that account and nothing else. When a request can't prove who it belongs to, the system doesn't guess or fall back to a shared default. It refuses the request outright.
Spend is checked before the call, not after
Before any AI call goes out, the system reserves the worst-case cost of that call against the account's ceiling, under a lock, so two requests racing each other can't both slip through. If a model's price can't be verified, the call is refused too, never priced as free by accident.
A full operations layer running underneath
Twelve integrated components handle the parts of running AI infrastructure that never show up in a demo: audit logging of every action and payment, approval gates before anything sends on a business's behalf, error alerting, rate limiting, redundancy and automatic failover, and health checks that restart what breaks.
Why the distinction matters
You don't rebuild a foundation every time you add a room.
A point tool is easy to buy and just as easy to outgrow. The day the business needs more than that one job done, it's another subscription, another login, another integration that may or may not talk to the last one.
An operating system is built to take on more without being rebuilt. The routing layer, the isolation, the spend caps, the audit trail: none of that has to change when the business adds a new capability on top of it. New rooms get built on it, not next to it.
What runs on top
The foundation is the point. Here's what it carries.
Multi-Agent Coordination
Specialized AI roles handling distinct parts of the business, coordinated by a central router rather than one model trying to do everything.
Approval Gates
Outbound actions taken on a business's behalf queue for a human decision before they go out: the AI proposes, a person disposes.
Compliance Audit Trail
Account actions, tier changes, and hard-cap enforcement are written to a tamper-evident log, not just a database row that can be quietly edited.
Encryption at Rest
Session, billing, and usage data are encrypted at the database layer, with documented key-rotation procedures.
Redundancy & Failover
Primary and backup capacity with health checks every 30 seconds and automatic restart.
Blue-Green Deployments
Two identical production instances and a rollback path measured in seconds, so a bad release doesn't become a bad day for a client.
Rate Limiting & DDoS Protection
Per-account request throttling and edge-level abuse protection, so one account's traffic spike can't degrade service for another.
Finance & Investor Reporting
The operations layer that runs the AI is the same layer that tracks what it costs to run and reports on it.
Where it starts
One system, sized to where the business is.
The same operating system underneath (routing, isolation, spend caps, and the operations layer above) scales from a solo operator to a fully built, professionally managed command center.
Stinger Teams: $127/mo
The AI Team Room on its own, on the same foundation.
Forge: from $77/mo
The AI development platform, on its own: Lite $77, Forge $157, Top $257, or bring your own key $97.
Creator: from $57/mo
Creator $57, Plus $97, Pro $197, Max $297.
Launch: $297/mo
A fully built, managed command center for a business ready to run on it day to day.
Ignite: $497/mo
More coverage and capacity on the same foundation as a business's AI workload grows.
Accelerate: $697/mo
The most coverage on the same foundation, for a business leaning hardest on it.
Talk to Vincent
See the foundation, not just the app on top.
Book a discovery call. We'll walk through what's actually running underneath, and what it would look like sized to your business.