Ask a chatbot.
Get an answer.
Then your team still has to research, build, check, and deliver it.
AI agents thatclose deals
Give Mariete a goal. It plans the work, uses real tools, checks the result, and delivers something you can use.
You've used AI before. Mariete works differently.
Give Mariete a goal.
Get the finished work.
It plans the path, uses the right tools, verifies the result, and brings back something ready to use.
Everything it needs to finish the work.
Intelligence becomes useful when it can reach the browser, files, systems, and tools between intent and outcome.
Germany market entry
Should ACME enter Germany this year, and what operating model makes the launch defensible?
InspectorCoordinating four live investigations
I split the decision into four investigations: demand, competition, operating model, and economics. Each specialist can see the same brief and publish verified findings to shared Key Facts. I will reconcile disagreements and return one recommendation.
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InspectorAir
Real browser
Navigates websites, gathers evidence, fills forms, and completes multi-step work where the work actually lives.
Files & documents
Creates spreadsheets, presentations, reports, websites, and code as real files your team can open and use.
Computer & code
Calculates, builds, transforms, tests, and verifies the result inside a working computing environment.
Your tools, connected
Moves between the systems that hold your context and the systems where the next action needs to happen.
Choose the work. Mariete handles the path.
Every product can research, reason, create, and act. Start with the outcome you need.
Finished work, not another response.
Mariete is judged by what the team can use next: the file, the workflow, the decision, or the campaign.
A client-ready proposal
Scope, pricing, argument, and next steps assembled from the brief.
A reconciled invoice run
Documents checked, exceptions surfaced, and a clean review queue prepared.
A defended contract review
Important clauses, unusual terms, and negotiation priorities in one clear brief.
A decision-ready assessment
Evidence, tradeoffs, and the recommended move, not a pile of links.
One outcome. A clear path to production.
Plan, build, and deploy is a bounded working motion, not an open-ended consulting project and not a demo your team has to finish.
Plan
Choose the outcome, map the tools and data involved, and decide where the work should run.
Build
Configure the worker, recipes, and connections. Test the hard parts before they reach the team.
Deploy
Connect the live systems, validate the boundary, and hand over a working outcome people can use.
Some questions need more than one mind.
Inspector assembles the right specialists, lets them share findings while they work, and synthesizes one defended strategy.
One question. A complete investigation.
Inspector gives every part of the problem the depth it deserves, then brings the work together into one direction.
Understands the brief
Inspector turns a broad question into the domains, evidence, and decisions that actually need investigation.
Your company becomes the context.
Give Mariete the expertise, knowledge, tools, and boundaries that make the work recognizably yours.
Identity & expertise
Define the role, point of view, responsibilities, and quality bar for the work this agent owns.
Company knowledge
Ground the work in your documents, terminology, decisions, and the context your team already trusts.
Tools & boundaries
Choose what the agent can access, what it can do, and where human review belongs.
Mariete works inside your stack.
The brief, the evidence, and the next action can stay connected. Mariete moves between the tools your team already trusts instead of creating another isolated workspace.
You decide how Mariete works.
Access only what you approve. Keep review where it matters. Follow the evidence all the way back.
Access
Choose the tools and company context available.
Review
Keep approval at the decisions that matter.
Evidence
Follow the sources behind a defended answer.
Private AI, on the infrastructure you choose.
Run Mariete in your approved cloud and LLM provider, use Mariete managed cloud, or keep it fully local and air-gapped. No new vendor needs to enter the data path.
Your approved cloud
Your account, region, provider, and existing agreements.
Mariete managed cloud
The fastest route for teams without an existing AI cloud posture.
Fully local / air-gapped
For the strictest work, on hardware and networks you control.
Runs where you decide
Mariete in the Box.
Deploy Mariete inside the cloud and model environment your organisation already trusts, or fully local for the strictest environments. No new vendor in the data path.
Explore Mariete in the Box↗
Start with the work already waiting.
A live brief, a hard decision, a deadline getting closer. Give Mariete the goal and review the finished work.
Choose how much work Mariete can take on.
Plans scale with credits: the amount of work you can run each month. Builder and Painter are included in every plan; Inspector starts with Pro.
Put Mariete to work.
Start with one outcome. Mariete figures out the path and brings back finished work.