Practice area
Private AI
Deploy open-weight and frontier models in a client cloud account, VPC, or on-prem hardware. Design evaluation, inference audit, version pinning, and data residency around the deployment.
Explore private AIPractices
Engineering for consequential systems.
Our work sits where software decisions become operational facts: a paid invoice, a dispatched crew, a model answer, a record someone must trust.
Each practice has a clear technical boundary. Every engagement begins with the result the client needs to accept.
Practice area
Product engineering
Build systems of record, payments and reconciliation software, and operational tools where correctness has a visible cost.
Explore product engineeringDelivery practice
Forward-deployed delivery
Put senior engineers in the work with the client. Use agents for implementation volume, while humans own scope, architecture, review, and acceptance.
Explore deliveryEmerging practice
Health & life sciences
We are building a dedicated practice for teams shipping software and AI into clinical and regulated healthcare settings. The practice is in formation; we welcome early conversations about the work and its constraints.
Read the practice noteA conversation with the people doing the work
Bring us the hard part.
Tell us what needs to work, where it has to run, and when the result is needed.