funkshin
Funkshin helps teams create, deploy, coordinate and monitor AI agents with business processes in one workspace.
Start with one practical workflow, then expand as your needs grow.
Every AI project tends to hit the same walls. Instead of patching each one, Funkshin solves them all inside a single platform — from first prototype to reliable operation.
Teams end up wiring together a separate runtime, workflow logic, credentials, storage, and monitoring for every new automation. That overhead grows with each one and never stops.
Runtime, workflow logic, credentials, storage, and monitoring already live together, so every new automation shares one connected setup.
Work breaks down when one specialist's output doesn't carry the context the next step needs, and no one has a clear shared view of the process.
Agents get defined roles and shared context built in, so work flows cleanly between "specialists".
Once a workflow is running, teams can't easily tell what is active, what finished, and where the pipeline quietly needs attention.
Run and observe agents in one place, with activity, health, and errors visible at a glance.
Organize the work, connect the right data, and give every agent a clear path from context to action.
Keep agents, workflows, data, and activity organized around the projects your team is actually moving forward.
Connect live business data and knowledge so agents can act with the context they need, when they need it.
Put a capable AI agent directly where your customers and users already work, without building the runtime yourself.
Combine specialists into coordinated teams that share context, divide responsibilities, and hand off work cleanly.
Extend what your agents can do by bringing in reusable skills for tools, processes, and specialized tasks.
Use specialized agents to create content, run campaigns, qualify opportunities, and keep recurring operations moving.
Research a topic, review existing content, create an outline, draft the article, generate metadata, and send it for approval.
Turn a campaign brief into channel-specific posts, email drafts, creative ideas, publishing tasks, and performance summaries.
Monitor incoming inquiries, research the company, score fit, draft a personalized response, and create follow-up tasks.
Read requests from forms or email, assign the right agent, gather information, complete routine actions, and report exceptions.
Define the work you want to remove, accelerate, or make more consistent.
Configure the agents, tools, knowledge, and actions that make the workflow useful.
Watch activity, review results, and find the steps that need attention.
Add workflows and specialized agents as your team proves new opportunities.
Every agent request is token-authenticated, models retain none of your data and all activity is auditable. This gives your organization strong security protections and full operational control.
Start free on shared hosts. Your first two agents can run on shared cloud infrastructure. When you need more control or capacity, provision an isolated VM in just a few clicks.
Review pricing
Activity, usage, health and errors in one calm view.
Agents run on managed remote infrastructure without requiring you to operate your own servers.
Every message to an agent requires a valid bearer token. Unauthorized access is automatically blocked.
We exclusively use ZDR LLM providers. Your prompts and outputs are never stored or used to train models.
Funkshin is an AI automation and agent orchestration platform for building, deploying, coordinating, and monitoring AI-powered business workflows.
You can build workflows around support operations, lead processes, backend actions, knowledge retrieval, scheduled tasks, and other repeatable business processes.
Yes. Funkshin is designed to coordinate specialized agents and pass work between them as part of a larger workflow.
Start with shared hosting for your first two agents, then choose a dedicated VM as your workload grows. Token rates also improve with higher usage volumes.
Funkshin is designed to make workflow creation more accessible, while technical customization can be used for more advanced processes.
Start by creating a workspace, then define one workflow with a clear outcome. You can add agents, tools, and knowledge as the process develops.
Build a practical AI workflow and see what your team can improve next.
