The vision

Local actors will solve local challenges

Datastake is the result of more than a decade of research and fieldwork in countries that postcolonial narratives have written off, where stigma and prejudice fuel a cycle of exclusion. It exists to break that cycle, by making the knowledge of local people legible, trusted, and theirs.

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It started with a problem

In weak-governance countries, the cost of collecting information pushes people to hoard it, while "open data" ideals ignore privacy, business sensitivity, sovereignty, and the real cost of collection. The result is a market that runs on guesswork.

  • Data is hard to collect, because of logistics and security.
  • Data is expensive, because it depends on visits by international experts and auditors.
  • Data is unreliable, because there is no good way to cross-check it.
  • Data is short-lived, because reports on fast-moving local contexts are out of date by the time they are published.

The lack of reliable information to measure risk and impact feeds prejudice and the stigmatisation of whole countries, which closes off the very engagement that would help.

Illustration of the founding problem

The knowledge is already there

Multiple parties hold information on any given mine site, village, person, or event, usually in Word and Excel files that are hard to process, hard to combine, and never shared between projects. Meanwhile:

  • A billion increasingly connected people live there and experience daily what visiting researchers cannot grasp.
  • They are the intended beneficiaries of development work, and their voice goes unheard.
  • Many organisations and systems already hold valuable local data and never realise its worth.

This is the digitisation gap. AI can only work with what has been written down, recorded, structured. Everything else is invisible. The people who never digitised their knowledge are simply absent from the record. Datastake builds the tools and the incentives to change that.

The knowledge is already there

The convictions behind the work

Five commitments run through everything Datastake builds, from the first field visit to the contract.

Illustration of the Datastake mission

Relevant innovation for real problems

Most data tools put the application owner in control of the data. Datastake does the opposite, transferring data ownership to the people who are its primary source, and protecting it.

Structure turns opinion into fact

You turn a paragraph of text into a hundred data points, which makes your knowledge useful to a far wider audience.

One architecture, automatic cross-checking

Information follows the same structure across every app and use case, so it can be combined and verified even where no single party can be trusted on its own.

Utility first

The software is genuinely useful in its own right, so organisations keep recording even when there is no buyer for the data yet.

Sovereignty always

You can take a full copy of your data and configuration, in open formats, at any time. Ownership is written into the architecture and into every contract, not just the brochure.

More than a platform

Datastake is not a SaaS product with a single login. It is a digital infrastructure company, building a bespoke, client-owned system for each organisation, all on one shared framework, so each one is fast to build, secure by default, and connected to the wider ecosystem. The moat was never lock-in, or simply software. It is Datastake's ability to design secure, fully customisable systems that scale, evolve and interoperate, then keep maintaining them so clients stay because they want to, not because they are trapped.

Get on board

Datastake users hold information on villages Google cannot place on its map.

Illustration inviting visitors to get on board

Try a live app

See a working system up close: how field knowledge becomes structured records, and records become decisions.

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Collaborate

From a data diagnostic to a full build, start where you are and own what gets built together.

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Follow the work

Buzz is where the ground speaks for itself: field stories, milestones, and the data exchange taking shape.

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