Datable Services
AI, automation & data systems for mission-driven teams.
What it is
Datable builds technology for teams doing meaningful work. We don't just build technology — we solve the problems your team actually has.
That covers more ground than "a data consultancy." Some engagements are a pipeline and a dashboard. Others are a platform built from scratch, designed, shipped, and maintained. The common thread is that the technology gets shaped around the organization rather than the other way around.
What we build
Data systems and analytics. Turning scattered data into pipelines, dashboards, and analytics a team can actually make decisions from.
Custom platforms and portals. Purpose-built tools — Grant Runway and HudumaPortal both started here — designed for the workflows a team already has, instead of an off-the-shelf product everyone has to work around.
Full-cycle product development. Discovery through deployment, with the project management handled on our side so the client's team stays focused on their actual work.
AI and automation. Cutting the repetitive work and surfacing what's buried, without adding a layer of complexity nobody asked for.
The rest of the toolkit
Bespoke CRMs and CMSs. Human-centered UX and UI design. Data science, from predictive analytics to text intelligence. Web and mobile applications. Secure, cost-efficient cloud infrastructure. API integrations that unify tools into one source of truth.
How we work
We listen first, then build what actually matters.
Mission-driven teams get sold a lot of software that assumes they operate like a startup, and most of it goes unused. So the work starts by understanding how a team actually runs — no jargon, no over-engineering.
That also means knowing when not to build. A good share of these engagements end with something smaller than what was originally scoped, and that's usually the right outcome.
Who it's for
Teams that have outgrown spreadsheets and shared drives but aren't big enough for an in-house engineering group — the awkward middle where off-the-shelf tools don't fit and a full platform sounds like overkill until you price out the workarounds.