About

R software for production data work

Who We Are

We build practical software that puts your data to work.

Sigflux designs reliable internal applications, data infrastructure, automation, and APIs. We turn manual processes and hard-to-use data into dependable systems that save time and help teams work more effectively.

Our work sits at the intersection of R, data, and the web. We streamline workflows from analysis to interactive dashboards and polished Quarto reports. When work needs to be shared across teams, we turn it into reusable, documented R packages.

Our Values

What we care about

Reliability

Data systems can fail in subtle ways. We build in error handling and observability from the start, not as an afterthought.

Simplicity

The best systems feel obvious. We reduce moving parts, keep interfaces predictable, and make future changes easy without rewriting everything.

Ownership

We don't just deliver code and disappear. We take responsibility for our work and provide clearly defined support after launch.

Features

How we build dependable R systems

Production-grade APIs

Authenticated, versioned, documented, and tested against agreed performance targets before launch.

Schema enforcement

We add validation checkpoints so bad data is caught before it affects downstream systems.

Batch and stream processing

We design batch and event-driven workflows around your volume, latency, and reliability requirements.

Data transformation

Raw data rarely arrives in the shape you need. We clean, validate, and transform it into useful structures.

Low-latency systems

For latency-sensitive systems, we optimize the parts that matter most, from queries and connections to caching.

Tested and documented

Deliverables include appropriate tests and documentation so your team can maintain and extend them.

Data validation layers

Internal dashboards

RESTful API design

ETL & ELT pipelines

Database design

Monitoring & alerting

FAQ

Frequently Asked Questions

What kind of companies do you work with?

We work with organizations that use R, or want to adopt it, for production data systems, internal tools, and APIs.

What technologies do you use?

R is our core development language. We use it for data processing, backend services, APIs, and web applications. This focus keeps systems simpler to maintain and easier for R teams to own.

Do you only build new systems, or can you fix existing ones?

Both. Not everything needs a ground-up rewrite. Sometimes the best approach is making an existing system faster, more reliable, and easier to maintain.

How does a typical engagement work?

We clarify what you need, agree on deliverables, and get to work. We ship incrementally so you can see progress throughout the engagement.

Do you stick around after delivery?

Yes. We offer retainer-based support for systems we've built. Monitoring, bug fixes, improvements. We can also train your team to take over if you'd rather bring it in-house.

How do you handle data security?

We use least-privilege access and encryption in transit and at rest where applicable. We also design within your established security and compliance requirements.