The work
has to hold.

Acyclic builds software and private AI inside the client’s environment. Senior engineers work forward-deployed with AI agents, set acceptance criteria up front, and take accountability for what ships.

Software engineeringPrivate AIForward-deployed delivery

Three ways to take responsibility for the result.

The same standard applies to a model deployment, a system of record, and an embedded build team.

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The work is operational. The constraints are real.

The operating details matter: how a route becomes an invoice, how a payment is reconciled, and how an analysis supports a human decision.

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Operations / Representative engagement

Route planning, dispatch, service records, and billing

Regional wastewater operator. Field service work had to pass cleanly from scheduling into records and invoices.

Built: A connected operating system for routes, dispatch, service history, and billing.

Finance / Representative engagement

Payments and reconciliation

Financial operations team. Payment events and records needed a traceable path through reconciliation.

Built: Payment, reconciliation, and financial operations software.

Decision support / Representative engagement

Analysis and coaching with AI agents

Professional chess practice. Analysis needed to remain useful to a human coach and player.

Built: AI agent-assisted analysis and coaching software for professional chess.

Confidence comes from a result that can be examined.

We specify what success means before the build. We keep the system understandable to the people who will operate it. We use AI agents for the bulk of implementation, with senior engineers responsible for decisions, verification, and deployment.

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Bring us the hard part.

Tell us what needs to work, where it has to run, and when the result is needed.

Describe the work