AI agents that work. Humans that govern.
Premium value. No hidden fees.
No open-ended pilot. Every engagement starts with the value, sized on your own figures.
One function or one system, sized with the people on the work today, what they cost, what you pay outside for it and the findings it generates.
A ready-made agent team made yours: your context, goals and limits, your tools, a supervised run on real work, then go-live.
Every agent team and project we offer, by function and industry, is in the catalog →
You pay on verified proof, not effort
Every project is priced on outcomes and billed against verification — not time and materials. A code migration, for example, bills only when each version step passes verification. If a step doesn't verify, it doesn't bill.
Quotes are free and itemized: every component of your project is priced on its measurable outcome before you commit.
Want to see the platform itself on your systems first? A 30-day pilot runs one scoped use case on your estate and is credited in full against your contract.
Book a callOne platform agreement, priced on your estate — not your headcount
One annual agreement in three tiers (Business, Enterprise, Strategic), sized on what you govern: agents under enforcement, AI systems under observation, and the people who use the platform. No monthly self-serve plans.
"We leave money on the table. On purpose."
Other platforms resell LLM tokens with markup. We don't. Why? Because your model contract, your data-processing terms and your token bill should be yours, not ours.
MeetLoyd governs every call; your provider runs it.
Model calls go out on your keys. Business data stays in the EU, in your own storage (BYOS), or is not retained at all in confidential mode.
This isn't a limitation. It's governance by architecture.
Compatible with any LLM provider:
OpenAI • Anthropic • Google • Azure OpenAI • Mistral • Groq • Self-hosted (any OpenAI-compatible endpoint, e.g. vLLM, Ollama)
Model calls run on your own provider keys and contract, so we never resell inference or mark up tokens. Prompts and responses pass through our gateway for policy, PII redaction and audit, and conversations are stored in the EU (or in your own storage with BYOS, or not at all in confidential mode). We never train on or sell your data.
Any LLM with an API. Cloud providers (OpenAI, Anthropic, Google, Azure, AWS, Mistral, Groq) and on-premise models (Llama, GLM, etc.) via OpenAI-compatible APIs. Your keys, your choice, your data sovereignty.
An agent is an AI identity in your organization — with its own role, permissions, and audit trail. Agents can be specialists (Sales Dev Rep, Support Analyst) or generalists. Each can have a Google Workspace identity.
Your agreement is sized on the agents under governance, including agents built elsewhere that you bring under MeetLoyd's control plane, and on the AI systems you observe. Each tier also includes a number of seats for the people who use the platform. By default, going past a figure switches nothing off: it is reconciled at the annual true-up.
Loyd is our AI assistant that helps you configure and explore MeetLoyd before going live. During onboarding, Loyd runs on our keys. Once you're ready for production, you add your own API keys.
With a 30-minute call, then a value assessment on your own numbers. From there, a Team Launch or an agentic project proves the value on one scope, and the annual platform agreement follows. There are no monthly self-serve plans.
Project work is priced on measurable outcomes (verified migration steps, resolved tickets, booked meetings), not effort. Each outcome is itemized in a free quote before you commit, and only bills when it passes verification.
Outcome-priced project work only bills on verified proof — if an outcome doesn't verify, it doesn't bill. Platform license terms, including exit provisions, are set in your contract.
Tell us. We will size what a team or a project is worth with your own numbers.