Don't Let Bias


your view

of the world


Timpi is a technology pioneer set to disrupt the status quo through Decentralization, Web3 and AI. Our mission is to democratize the world’s information ensuring a fair and open digital future for all.


Timpi's Web-Scale index and the services it powers

At the core of Timpi is our pioneering, proprietary web-scale index. The world’s first wholly independent and decentralized Index, joining the ranks of only five other Web Indexes : Google, Bing, Yandex, Baidu, and Brave.

Coupling our expansive Web-scale Index with leading-edge AI technology, we’re engineering a suite of services that hold user privacy and data dignity paramount.

Unbiased Web-Scale Index - The core that powers our data driven services

Timpi’s independent index is the key to unlocking the world’s information. Timpi’s capacity to collate and maintain an independent web index.

Timpi Search Engine

Timpi Search Engine has revolutionized the search experience by becoming the world’s first search engine to provide unbiased results, free from user tracking and manipulation.

Wilson Generative AI

Timpi’s Groundbreaking Generative AI that offers a personalized experience with unprecedented control, taking your interactions to new heights.

Future index driven services

We are building a suite of services that use our unique unbiased index and decentralized network. Check out our roadmap for more exciting services coming soon.


Start of development

+1 Billion



active beta testers


community members

The impact of biased data is global

Understanding the issues that society is facing is integral to why Timpi is so important

Misinformed Decision-Making

Biased data can lead to skewed insights and results. When decision-makers rely on such data, their actions can inadvertently perpetuate existing prejudices, often affecting crucial sectors like healthcare, finance, and law enforcement.

Reinforcement of Stereotypes

Algorithms trained on biased data can perpetuate and amplify societal stereotypes. This is evident in sectors like advertising where biased algorithms might pigeonhole users based on gender, ethnicity, or other demographic factors.

Economic Inequities

Biased data in financial models can result in unfair lending practices, credit assessments, or resource allocations. This perpetuates economic disparities as marginalized groups might be denied opportunities purely based on flawed data.

Underrepresentation in Technology

Biased training datasets in AI and machine learning can lead to technological products that don’t recognize or understand diverse user groups, leading to exclusionary tech solutions. For instance, facial recognition systems might misidentify certain ethnic groups due to lack of representation in training data.

Erosion of Trust in Institutions

As institutions increasingly rely on data-driven decisions, biased outcomes can erode public trust. This can be observed in judicial systems where algorithmic risk assessments might disproportionately label certain groups as high-risk.

Threat to Global Collaboration

In a globalized world, relying on biased data can stifle international cooperation and understanding. Flawed data can paint inaccurate pictures of entire nations or cultures, leading to misguided policies and strained international relations.

Our partners