Standalone engineering firm / Acyclic

Private AI and operational software, built where failure has a cost.

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 work
System boundary / reference architecture

Deployment pattern 01

Private AI architecture: client input passes a policy gate to a pinned model; evaluation and audit remain inside the client environment, with no data leaving the boundary.
One possible private deployment pattern. Controls, model choice, and retention are defined with the client for the actual system.

Research / systems evidence

Large models on small hardware.

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 agenda

Representative work

Operations have specific failure modes.

These anonymized engagements show the shape of the systems we build. No client names or outcome figures are included in this reference.

Field operations

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.

Financial operations

Payments and reconciliation

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.

Service operations

Repair orders

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.

See representative engagements

Bring us the system that has to work.

Tell us what is blocking delivery, what must be true at acceptance, and when it matters.

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