// 01
Data processing
Automated ETL pipelines, data validation, cleaning and transformation. Handle millions of records without manual intervention.
AvailableTaking new engagements · Q2 2026
All servicesService · Intelligence · 07
Every process thatdoesn't need a human.
Transform repetitive tasks into streamlined workflows. From data processing to deployment pipelines, we build intelligent automation that saves time, eliminates human error and scales operations effortlessly.
- RPA
- Where it fits
- Event
- Driven pipelines
- Audit
- Trail per run
- Rollback
- Built-in
What we automate · 06 capabilities
Move work off your team's plate.
Data, integrations, monitoring, deployment, AI agents and security workflows — automated with logs, retries and human-in-the-loop where it matters.
// 02
API integrations
Connect your tools seamlessly. Sync data between CRMs, payment processors, analytics platforms and custom applications.
// 03
System monitoring
Automated health checks, performance monitoring and intelligent alerting. Catch issues before your users do.
// 04
CI/CD pipelines
Automated testing, building and deployment. Push to production with confidence via GitOps workflows.
// 05
AI-powered automation
Intelligent document processing, content generation, classification and decision-making using machine learning.
// 06
Security automation
Automated vulnerability scanning, compliance checks, access reviews and threat response workflows.
How we work · 04 stages
From manual to self-driving.
- Stage / 01
Map the workflow
We watch the actual work happen — clicks, copy/paste, tab-switching. Real flow, not the org-chart fantasy of it.
- Stage / 02
Pick the right tool
Sometimes a webhook. Sometimes RPA. Sometimes an LLM. We pick the cheapest tool that actually solves the problem.
- Stage / 03
Ship with audit trail
Every automated run is logged, replayable and reversible. When something goes wrong (it will), you can see exactly what happened.
- Stage / 04
Iterate with humans-in-the-loop
High-confidence steps run automatically; edge cases route to a human reviewer with full context. Confidence grows over time.
Automation stack
Best-of-breed tools, glued sensibly.
- n8n
- Zapier
- Make
- Temporal
- AWS Lambda
- Cloud Functions
- Cloudflare Workers
- EventBridge
- Apache Airflow
- Dagster
- GitHub Actions
- Playwright
- Selenium
- Anthropic Claude
- OpenAI
- Stripe Webhooks
Why teams pick us
Automation that actually stays automated.
Most automation breaks within weeks of launch. Ours doesn't, because we design with retries, dead-letter queues, audit logs and humans-in-the-loop from day one.
- i.
Observable by default
Each step is logged with inputs, outputs and duration. Failures explain themselves.
- ii.
Reversible by design
Idempotency keys, two-phase commits where it matters, manual rollback paths for the rest.
- iii.
Cost-aware
We pick the right runtime — sometimes a $0 cron, sometimes a paid orchestrator. We won't oversell infra you don't need.
Common questions
What teams ask before they automate.
Almost never. It usually replaces specific *tasks*, freeing humans to do the parts of their job that actually need humans. The math we care about is hours-back-per-week.