Systems We Build
From Persistent Workflows to Distributed Platforms.
We use Elixir where its concurrency and supervision model directly improves how the system operates.
One Objective. Many Specialized Workers.
Fairway models the workflow as supervised stateful execution rather than a chain of fragile one-off automations.
The Problem
Long-running business workflows often span research, data, APIs, approvals, CRM updates, notifications, and human intervention.
Examples
- Named-account supervisors
- Customer onboarding
- Revenue ops workflows
- Compliance / review processes
Put Deterministic Systems Around Probabilistic Models.
Fairway uses supervised application logic to control the lifecycle around AI workers.
The Problem
LLMs can reason well but should not own identity, permissions, retries, state, or irreversible execution.
Examples
- AI worker orchestration
- Tool permission gates
- Human approval steps
- Retry and recovery logic
External APIs Fail. The Platform Should Expect That.
Elixir workers can isolate individual connector activity while supervisors coordinate recovery and retry policy.
The Problem
Connectors face timeouts, schema changes, expired credentials, quotas, duplicate events, and partial failures.
Examples
- CRM connectors
- Identity APIs
- Marketing platforms
- Data-provider integrations
Control Identity at the Boundary.
Fairway can build supervised identity and privacy services that enforce policy before downstream systems or AI models receive data.
The Problem
Sensitive identifiers often move farther through workflows than they need to, increasing exposure risk during automated processing.
Many Things Happening at Once Without One Shared Failure Domain.
The BEAM is well suited to applications with large numbers of simultaneous connections, events, workflows, or stateful processes.
Ready to talk architecture?
Discover how Fairway can structure a delivery model around your team.