Take back control
of AI automation
If anyone is going to replace your job with AI, it should be you.
Our goal is to deliver automation capabilities with AI to any sector or company regardless of technological knowledge. Instead of utilising the plethora of new Tools that seem to enter the market every day, automate only what you need and pay only for what you use.
Supported by:
Hear what NotebookLM by Google has to say:
How it works:
Sign up and log in to access your personal dashboard.
Click "New Process" and describe what you want to automate with AI.
We provide a cost estimate for tokens, usage frequency, and setup.
We handle the implementation, technical setup, testing, and deployment.
Execute your process whenever you need it and pay only for what you use.
Core capabilities
Stable Automation
We test different implementation approaches to find the most reliable solution. Our process determines optimal prompting, whether agents are necessary, and the most efficient workflow design.
Execution-Based Model
Our execution-based model ensures you only invest in results. We optimize for efficiency while maintaining your complete control over process execution.
Simple Dashboard
Our straightforward dashboard shows your costs and provides a button to execute your processes. Clean, minimal, and focused on what matters most.
Our process
From the moment we receive your request, we begin a structured journey toward automation that's tailored to your specific needs. Our goal is to create reliable, efficient solutions while keeping you in control at every step.
Formulating the Goal
We identify which tools need to interact and define the "happy path" - the optimal flow where everything works as expected. We'll confirm this understanding with you before moving forward to ensure perfect alignment.
Interaction Journey
Together, we define the key moments where you want to check in or provide input - whether approving a draft or adding context to a task. This ensures you maintain oversight while automation handles the repetitive work.
Implementation
We build and test your process thoroughly before deployment. While we invest significant resources in creating the most reliable implementation possible, there's always a nonzero probability of inaccuracy that we openly acknowledge.
On Process Complexity
We assess process complexity to determine implementation approach and set appropriate expectations. Naturally, the more complex and or complicated the process, the more time and resources it will require.
Multi-Agent Browser Tasks
Example: Multiple agents collaborating to research, compile, and format information from text documents and images in order to interact with a specific browser-based tool.
Multi-Step Data Processing
Example: Extracting information from several documents, categorizing content, and providing information based on your input.
Simple Report Generation
Example: Creating a weekly summary from pre-structured data sources with minimal transformation required.
Interested? Reach out
Let's explore how our automation solutions can work for you. We'll get back to you as soon as possible to schedule a call and discuss your specific needs. Tell us a bit about what process you'd like to automate, and we'll start thinking about approaches.
For investment inquiries, please visit our investor relations page.