Wastewater service
Route planning and dispatch meet service records and billing in the same operational chain.
Built route planning, dispatch, service record, and billing software for a regional wastewater operator.
Standalone engineering firm / Acyclic
Senior engineers work forward-deployed with your team. AI agents do much of the build; we define the acceptance criteria and stand behind what ships.
How we workDeployment pattern 01
What we build
Our work sits close to operations, money, and sensitive information. The implementation changes by context; the accountability does not.
Open-weight and frontier models in a client cloud account, VPC, or hardware, with evaluation suites, inference audit trails, version pinning, and data residency designed into the deployment.
↗Operational systems, payments, reconciliation, and field workflows where the data must survive handoffs and the edge cases cannot be ignored.
↗Embedded senior engineers and agents working to explicit acceptance criteria, with a fixed outcome when the scope can be defined.
↗Research / systems evidence
Our own research has run 500B+ parameter open-weight mixture-of-experts models on single-workstation hardware using expert streaming and speculative decoding. We have also studied coordinated multi-model serving on shared hardware.
Read the research agendaRepresentative work
These anonymized engagements show the shape of the systems we build. No client names or outcome figures are included in this reference.
Route planning and dispatch meet service records and billing in the same operational chain.
Built route planning, dispatch, service record, and billing software for a regional wastewater operator.
Money movement creates an obligation to explain each state, exception, and correction.
Built payment, reconciliation, and financial operations software around the record of what happened.
Labor, parts, and profitability controls need to connect to the work that produced them.
Built repair order software for automotive shops, joining service work to shop economics.
Field notes
Research and field notes are where we make our engineering judgment legible. These pieces are drafts.
What changes when model capacity exceeds local memory, and which tradeoffs belong in the deployment decision.
How representative cases, pinned versions, and reviewable failures make model changes manageable.
Coordination questions for model placement, contention, and the workloads a single machine can carry.
Define the expected behavior before agents and engineers begin changing a system of record.
Tell us what is blocking delivery, what must be true at acceptance, and when it matters.
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