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Easy to build.
Private to run.
Yours to govern.

The future of AI isn't a few monolithic providers. It's custom, private, maintainable AI agents and models. Embermark makes that possible for mid-market teams.

Early access for mid-market teams. No credit card, no commitment.

A piece of your AI puzzle.

Embermark slots in alongside the AI tools and in-house systems your team already uses. Start with one piece, add more over time.

Where Embermark fits inside your business. It sits alongside large AI vendors like ChatGPT, Claude, and Copilot and your in-house AI tools, adding your assigned data sources and configured AI agents, with governance and control over how every AI agent gets used.

The governance layer your AI agents have been missing.

Most companies have AI everywhere and visibility nowhere. Licenses bought, prompts flying, and nobody can answer the basic governance questions: what's running, who can see what data, and what actually got better because we paid for it. Embermark is built around those questions.

Inventory

Every agent has an owner, a model, a defined data scope, and a cost. One screen shows you what's running in your account, who built it, and what it's allowed to touch.

Audit

Every request, every response, every document the agent looked up, every config change. Filterable, exportable, retained on your terms. The compliance answer your CIO has been asking for.

Evaluate

Side-by-side test runs catch regressions before deploy. Production prompts that misbehave become tomorrow's test cases. You see what changed because you spent those tokens, not just how many you spent.

We don't train on your data. Nobody does.

Your prompts, your documents, and your customers' information stay yours. We run on open-source models in environments you choose, so nothing you put into Embermark trains anyone else's AI. When you're done with it, you delete it. On your schedule, not ours.

Never trained on your data
Open models, your environment
Delete everything, anytime

Plays nice with the AI tools you already use.

The AI tools your team already has, like Copilot, ChatGPT, and Claude, can find and use your Embermark agents on their own. No integration project, no custom code.

Build a ticket classifier once, and your support team's AI assistant can use it tomorrow. Build a contract reviewer, and your legal team's tools pick it up automatically. Every agent you create makes the rest of your stack a little smarter.

How to build a domain-specific knowledge agent

1

Describe your problem

Tell our guided setup what your business problem is in plain English. It picks the model, writes the prompts, and sets up the right context for your agent. No technical decisions on your end.

2

Add your data

Upload training files, internal documents, or both. If the format is wrong, the system notices and adjusts. You worry about the problem, not the plumbing.

3

Your agent goes live

Start getting answers. Use it through a private API, a built-in chat interface, or let other AI tools discover and call your agent automatically.

For example…

“I need an agent that classifies support tickets.” “I need an agent that answers questions from our compliance docs.” “I need an agent that scores incoming leads.” “I need an agent that extracts data from our invoices.” “I need an agent that reviews contracts against our standard terms.” “I need an agent that drafts responses using our brand voice.”

Built for the teams in between.

Big enough to need custom AI. Not big enough to hire an ML team. Too smart to hand your data to someone else. If your company has 50 to 500 people and a problem that off-the-shelf AI can't solve well, Embermark was built for you.

Get early access.

We're onboarding teams one at a time to make sure this works really well. Join the waitlist and we'll be in touch.