Culture & Values
We're a small, remote-first team building production AI systems for enterprises. Our culture is shaped by what works when deploying complex technology to solve real business problems.
How we think about work
Results, not busywork
We judge success by what actually changes for the client, not by hours worked or tickets closed. Focus on measurable business impact, clear goals, transparent tracking, and flexible time management.
Engineering before fashion
AI changes quickly. The basics still matter more. Understanding system behaviour, architecture, trade-offs, and failure modes rather than superficial API integration.
Practical beats perfect
Shipping something useful is better than polishing something that never leaves the building. Iterative releases, real user testing, human-in-the-loop design, and avoiding over-engineering for edge cases.
Straight talking
No politics, no theatre. Direct communication internally and externally, transparent pricing, early problem identification, and honest acknowledgment of limitations.
Real ownership
Projects do not get passed around. Teams maintain accountability from design through production, with engineers engaging directly with clients and designers understanding technical constraints.
Keep learning
No one stays current in AI by pretending they already know everything. Curiosity, experimentation, knowledge-sharing, and treating failures as learning opportunities.
Better teams build better systems
Teams with different backgrounds build better systems. You get better questions, fewer blind spots, and more robust decisions. AI and ML fields have well-documented underrepresentation, and we're working to address that.
Our current initiatives include:
- Removing names and universities from initial CV reviews
- Offering alternatives to live coding interviews
- Remote-first work model
If you have ideas on how we can do better, we'd like to hear them: [email protected]
Sustainable pace
Sustainable pace
Typical 40-45 hours weekly. Occasional crunches are exceptions, not the norm.
No "always-on" culture
Notifications disabled outside work hours. No expectation of instant responses.
Automation
Automating routine administrative tasks where sensible, so people can focus on meaningful work.