Problem-first
We start with real engineering problems — either ones we hit ourselves or ones we see consistently in client work. We do not do research for its own sake.
SocioFi Labs is the part of the company that does not have to ship a product on a deadline. We research what is coming, prototype things before they are mainstream, and publish what we learn — including the failures.
Why Labs exists
SocioFi Studio operates on client timelines. Every project has a scope, a deadline, and a budget. That is the right model for building software that ships — but it is not a good model for exploring ideas that might take six months to validate.
Labs has no client timeline. We pick problems that matter, prototype aggressively, and publish what we find. When a Labs experiment validates something useful, it either becomes an open-source release, a Studio capability, or a product.
Publishing strategy
Most technical blogs publish results that work. We try to publish both: the things that worked, the things that did not, and — most importantly — why. A documented failure is more useful than an undocumented success if it saves another engineer from repeating the same mistake.
We do not publish on a schedule. We publish when we have something worth saying. The Labs newsletter goes out when a new article is ready — usually every two to three weeks, sometimes more, sometimes less.
Open source
Every open-source release from Labs started as internal tooling. We do not build open-source libraries as marketing — we release things we actually use and maintain because we have to use them. If we stop maintaining something, we say so clearly and archive it.
Our open-source repositories include documentation, working examples, and honest notes on limitations. We do not release alpha-quality code without labelling it as such.
Labs is run by the core SocioFi engineering team alongside rotating contributors from Studio projects.
CTO & Labs Lead
BUET graduate. Leads agent architecture and developer tooling research. Primary author on most technical articles.
CEO & Applied AI Research
BUET graduate. Leads applied AI and industry automation research. Writes on the business and liability implications of AI systems.