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Automation that keeps running when something fails.

Automation is easy to demo; infrastructure is what makes it reliable. We build the layer underneath your agents and workflows: retries, queues, logging and monitoring, so nothing fails silently.

Why automation breaks

Most automation fails not because of its logic but because of what's missing underneath: retries, logging, error handling and solid integrations.

Retries

Recovers on its own from timeouts and rate limits.

Audit logging

Every operation can be traced afterwards.

Queues

No lost work when traffic spikes.

Monitoring

You hear about a problem before your customers do.

What we build

API integrations

Clean, reliable integrations between services using REST, webhooks and events.

Third-party APIsWebhooksAuth and tokensRate limits

Queues and background jobs

Reliable execution of tasks without blocking systems or losing data.

Job queuesRetriesDelayed jobsPriorities

Error handling

Systems that recover automatically instead of failing silently.

Auto-retriesFallbacksFailure alertsDead-letter queues

Logging and monitoring

Visibility into what's happening inside your system at all times.

Structured logsError trackingTracingAlerts

Automation infrastructure

The backbone behind AI agents and workflows.

OrchestrationEvent triggersStatePipelines

Backend systems

Services and databases built to handle growth.

Service designDatabasesLoadPerformance

How we think about it

Boring is good

Systems should run quietly. No drama, no surprises.

Failures are expected

We design for failure with retries, fallbacks and safeguards.

Everything is observable

Logs, metrics and tracing are built in, not added later.

Ready to grow

Systems should handle growth without a rewrite.

What we build with

We choose tools for reliability and fit, not hype.

Node.js and Python
Backend services
n8n
Workflow automation
APIs and webhooks
Integration
Queues
Background jobs
AWS and GCP
Cloud
Postgres and NoSQL
Databases
Logging and monitoring
Observability

How we build it

  1. 1

    Map the flows

    We map how data and actions move through your system.

  2. 2

    Find the failure points

    We find where things can break before they do.

  3. 3

    Design the safety net

    Retries, queues, logging and monitoring are designed in.

  4. 4

    Build and test

    We test real-world failure, not just the happy path.

Infrastructure questions

Why does my automation keep failing silently?
Usually because there are no retries, no structured logging and no alerts. When an API times out or rate-limits, the run simply stops. Adding queues, retries and monitoring turns those failures into recoverable, visible events.
Can you stabilise an existing n8n, Make or Zapier setup?
Yes. We audit the existing flows, find the failure points, and add the reliability layers, or move critical paths into a backend service when a no-code tool is no longer the right fit.
Which cloud platforms do you work with?
Mainly AWS and GCP, with Docker-based deployments, SQL and NoSQL databases, and standard monitoring and logging tools.

Is your automation fragile?

Tell us what keeps breaking. We'll find the failure points and tell you what it takes to fix them.