About
We build AI systems that work.
Philosophy
Most AI projects fail not because the technology isn't ready, but because implementation is treated as an afterthought.
We focus on systems, not demos: proper error handling, monitoring, evaluation frameworks, and documentation. We design for edge cases, failure modes, and operational reality from day one.
Our work prioritizes coherence — technical decisions aligned with business constraints, architectures that scale with real usage patterns, and systems teams can maintain over time.
Approach
We don't pitch visions or roadmaps. We start with the actual system.
Each engagement begins by understanding workflows, constraints, and failure points. We audit existing processes, identify bottlenecks, and design architectures that address real operational challenges.
Implementation is deliberate. We prototype to validate direction, then build production-grade systems with testing, monitoring, and clean handoff. No shortcuts that create long-term maintenance debt.
Position
hbar.agency is part of hbar.systems — a shared platform where production AI systems are designed, tested, and operated across applied domains.
We are not a consultancy that talks about AI. We build and operate production systems internally and help other teams do the same.
Our case studies come from real platforms, not mock projects. Client systems use the same patterns, tooling, and operational rigor as our own infrastructure.