Your best process runs the same
— whoever handles it.
You design the process. Glove turns it into an executable system — so AI, humans and software follow the same rules, from the same business context, on every channel.
The problem isn't automation.
It's inconsistency.
You can automate a task, deploy an agent, add a channel. But if every system keeps its own context and every handoff loses information, you've just automated the mess.
Glove starts somewhere else: define how the business should work — then make that process executable.
Every conversation goes exactly where you designed it to.
Your customers get the right response every time — governed by the same business rules — no improvised policies, no invented steps, no going off-script. And every turn is on the record.
The conversation is generative and natural — the model does the talking. What's deterministic is the flow, not the words. The probabilistic layer lives inside bounded MCP actions; it never decides where the conversation goes.
The model proposes.
The engine executes.
Glove doesn't just decide what happens next — it does it. Update the CRM, send the quote, book the call, hit any MCP tool on your stack: the engine makes the call.
An agent that can touch your tools can also touch them wrong. So the model never holds the trigger. It proposes the next action; the engine checks it against your rules and the current state, and only then executes — the same way whether the turn came from a chat, a call, or a human in manual mode.
One path to execution. One set of rules. Every call on the record.
Any event.
One process.
A WhatsApp message, a form submit, a webhook from Stripe, an API call, a new row in a sheet, a scheduled job — they all drive the same process, on the same state. Conversation is just one kind of event.
Most tools wake up when someone talks to them. Glove wakes up when anything happens — a form, a webhook, an API call, a scheduled job, no human in the loop required. Whatever fires the event, it lands on the same process state, so the flow picks up wherever it is, no matter what set it in motion.
Anything can start a process. The engine can finish it anywhere. One state in between.
One conversation. Any channel. Nothing repeated.
A customer who starts on WhatsApp finishes on a call without explaining themselves twice. Web, email, voice and LinkedIn all read and write the same context.
Adding a channel is easy.
Keeping them all in agreement is not.
Voice, chat, email and forms each end up with their own version of what was said and what was promised. The more channels you open, the more versions of the truth you maintain.
Underneath Glove there is only one: the process state every channel reads from and writes to.
A phone call that already knows the customer.
Voice runs on its own pipeline but the same shared state, so a call picks up exactly where the chat left off — low latency, handles interruptions, and never wanders off the process you defined.
It is not a voice bot bolted onto the stack. It is the same engine, answering the phone.
Most tools remember the conversation. Glove remembers the business.
Humans step in. Nobody notices.
When your team takes over, they inherit the full state and the customer sees no seam — the conversation simply continues. One click, and the engine drafts the email, builds the quote or books the call for them.
Turn 10,000 costs what turn 1 costs.
Memory lives in state, not in a growing conversation history. Volume goes up; tokens per turn don't — and quality doesn't drift as the history grows.
A bounded context is also a more accurate one: the model reads the state relevant to this turn, not ten thousand turns of transcript it has to sift through. Less room to wander, fewer chances to invent.
patent pendingAnd a flat cost per turn changes what price depends on:
Priced by the process — not the tokens.
Token meters bill you for how much your customers talk. Because Glove's cost doesn't grow with the conversation, price stops being a function of runtime and becomes a function of the process you built — its fields, its rules, its actions. The same architecture that keeps turn 10,000 as cheap as turn 1 is what ties price to the process instead of the transcript.
Outcome pricing ties cost to what happens. Execution pricing ties it to the process you run.
Your newest hire executes like your best one, because the strategy lives in the system.
Intelligence lives in your processes, not in the model.
Real processes. Already executing.
10 months in beta across different businesses and workflows. Now opening Glove to the market.
Your stack, coordinated from one state.
Glove doesn't sit between your tools passing messages back and forth. Every system reads from and writes to the same process state — so it's one source of truth, not one more integration to keep in sync.
Modern tools connect over MCP — CRM, calendar, billing, docs, chat and voice, plus anything else on your stack. The engine calls them; the state stays single.
Bring the stack you have — new tools and old ones alike. Glove coordinates it from one state.
See all integrationsAnd the software that has no API?
The closed, on-prem tool your business already runs on — the one nobody wants to replace — doesn't need to change. Glove sets up a local operator that works it the way your team does: opening the record, filing the report, checking the file. The engine calls it over MCP like any other action — register a claim, pull an expedient — and it happens inside the software you already have.
For everything else, an API is a shortcut. For the tools that never had one, the operator is the bridge.
Compliant because of how it's built — not bolted on after.
Every state transition and every human intervention is logged by design. Auditable end to end and ready for the EU AI Act — no governance retrofit.