Local actors will solve local challenges

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It Started with a Problem...

Datastake is the result of 12 years of research and testing by its founders, in countries marginalised through postcolonial rhetoric, where stigmatisation and prejudice have fuelled a cycle of exclusion.

Information access constraints

In weak-governance countries, high data collection costs tend to incentivise information hoarding while “open data” principles fail to appropriately consider data privacy, business sensitivity, sovereignty and collection costs.

Data is hard to collect due to logistical and security challenges

Data is expensive, as it typically relies on visits by international experts, auditors and researchers

Data is unreliable, in the absence of efficient triangulation mechanisms

Data is ephemeral: reports on volatile local contexts are outdated by the time they get published

Unsatisfied data demand

The lack of reliable information to measure risk and impact fuels prejudice and the stigmatisation of entire countries, thereby limiting opportunities for constructive engagement.

Natural resources buyers are unable to conduct due diligence on their supply chain, leading to procurement constraint

Investors lack data necessary to properly assess and manage risk, which limits opportunities for engagement and contributes to exclusion of local businesses from the financial system

The work of humanitarian organisations is complicated by information gaps in emergency situations

The evaluation of international development interventions is conducted by program implementers themselves, without community feedback

Untapped potential

Multiple parties hold information on a given mine site, village, stakeholder or event -- typically in the form of Word or Excel files which are complex to process, consolidate, analyse… and are not shared between separate projects.

1 billion increasingly connected people live right there, and experience daily what foreign researchers fail to grasp

They are the target communities of development interventions, and their voice is unheard

Many organisations and systems already hold valuable, localised data and fail to realise its value

The majority of information held by development projects, private sector actors and the local civil society is underutilised, leading to overlaps and duplication of effort


We’re on a Mission

Datastake is designed to financially incentivise transparent behaviours, promote local narratives and reward positive actors.


Relevant innovation to solve actual problems

Information management innovation is traditionally focused on privatised databases, where data is compiled and managed by application owners. Datastake is different. We transfer data management capacity to primary information sources, and protect their data ownership.


Standardised information frameworks to facilitate coordination across organisations and systems

Datastake helps its users structure information and turn subjective opinions into fact reporting. Paragraphs of text are converted into one hundred data points, which makes the informational content relevant to a broader audience.


Common data architecture to automate triangulation

Information compiled by users will follow the same format across applications and across use cases. This maximises opportunities for consolidation of information from multiple sources, in a context where no single party can be trusted.


Custom software solutions for local businesses and NGOs to improve their performance

We build utility at application layer, to assist local organisations and ensure that they compile data even at times when there is no client for it.


Information management capacity transfer to local stakeholders

Datastake tools turn data into a valuable asset, towards sustainable funding of the transparency and accountability process in those countries where it is most needed.


Data as a Commodity

Datastake’s fundamental objective is to turn data into a valuable resource, reward its primary holders and thus incentivise transparent behaviours. Challenges can't get solved if data used to evaluate them can't be trusted.


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Our users hold information on villages which Google can't place on its Maps.

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