A different type of AI company
Most AI companies (frontier labs, custom developers, and consultancies alike) refuse to take a stand on values for fear of losing your business.
Their websites cite bold values like:
“disruption”
“business innovation”
“AI readiness”
“unlocking value”
across paragraphs and paragraphs of (usually AI-generated) text devoid of meaning.
Our principles, explicitly:
No slop.
We do not publish AI-generated text or AI-generated images.
The text on this website has been written by hand by our founders. Likewise for our LinkedIn posts and blog posts, and most importantly our email communications.
We will not build tools for clients to mass-generate “slop” content.
We are generally opposed to the use of generative models for sales purposes except in very specific scenarios.
Don’t be evil.
We strictly do not work with the following industries:
Fossil fuels
Tobacco
Weapons manufacturing
Private prisons
Mass surveillance
Models should have specific tasks.
Employees have specific roles, responsibilities, and procedures. We should have the same standards for models.
If you determine the task to complete in advance, the uncertainty of ROI is only contingent on a model’s success at that task.
Once a task is determined, success can be easily measured and tracked.
Generally, LangChain-type graph setups > agents
Tool calling is often useful, but rarely the sole solution to a problem.
Splitting a large task into smaller components allows the use of smaller, cheaper models while also improving overall consistency.
The human touch is important.
Sales relationships thrive on interpersonal connections. The proliferation of GenAI (especially slop spam cold outreach) makes this even more important.
Generative models tend to produce low-quality output in creative fields, like graphic design and writing.
People can often tell when writing is AI-generated, and it usually comes across as low effort and disrespectful to the reader.
AI without human oversight is dangerous and bad for business.