Privacy-focused search engine DeepSearch slinks out of hiding

New web crawler from TSignal doesn't care who you are


Developers are working on a privacy-focused search engine that goes beyond the likes of DuckDuckGo.

DeepSearch from TSignal is an AI-based search engine that does not collect any user information, according to the team behind the project. The crawler-based engine aims to maintain user privacy while offering unbiased information discovery.

"TSignal does all the heavy work in-house, including crawling, language detection, indexing, ranking etc, while DuckDuckGo results are based on Bing/Google APIs," TSignal founder Vipin Kumar told El Reg. "DuckDuckGo is basically another front-end for Bing/Google with some tweaks."

TSignal has built its own engines, algorithms and stack, which handle, index and rank all data. The search engine has already indexed more than 4 billion web pages, according to its developers, with plans to index 100 billion more pages over the coming months.

The search engine's rank algorithms are completely AI based and its stack is "extremely fast", with 90 per cent of queries delivered in less than 200ms, according to Kumar. "There is no human curation of results at any stage," he added.

TSignal's DeepSearch

The project is pitched against the likes of Google, Yahoo!, Bing and Yandex. TSignal promises that it does not track its users with cookies, JavaScripts or with any other technologies in any form, not even for the sake of better or personalised results.

DeepSearch is currently at the alpha stage. Some features, such as query auto-correction and suggestions – commonplace with other search engines – are not yet available. It also does not currently index news or social media websites, but adding this support is a priority.

"We completely respect users' privacy," Kumar concluded. "Users' communications/search history are personal data and should be treated as such and should not be used in any form. The platform provider is just the messenger." ®

Similar topics

Narrower topics


Other stories you might like

  • Talos names eight deadly sins in widely used industrial software
    Entire swaths of gear relies on vulnerability-laden Open Automation Software (OAS)

    A researcher at Cisco's Talos threat intelligence team found eight vulnerabilities in the Open Automation Software (OAS) platform that, if exploited, could enable a bad actor to access a device and run code on a targeted system.

    The OAS platform is widely used by a range of industrial enterprises, essentially facilitating the transfer of data within an IT environment between hardware and software and playing a central role in organizations' industrial Internet of Things (IIoT) efforts. It touches a range of devices, including PLCs and OPCs and IoT devices, as well as custom applications and APIs, databases and edge systems.

    Companies like Volvo, General Dynamics, JBT Aerotech and wind-turbine maker AES are among the users of the OAS platform.

    Continue reading
  • Despite global uncertainty, $500m hit doesn't rattle Nvidia execs
    CEO acknowledges impact of war, pandemic but says fundamentals ‘are really good’

    Nvidia is expecting a $500 million hit to its global datacenter and consumer business in the second quarter due to COVID lockdowns in China and Russia's invasion of Ukraine. Despite those and other macroeconomic concerns, executives are still optimistic about future prospects.

    "The full impact and duration of the war in Ukraine and COVID lockdowns in China is difficult to predict. However, the impact of our technology and our market opportunities remain unchanged," said Jensen Huang, Nvidia's CEO and co-founder, during the company's first-quarter earnings call.

    Those two statements might sound a little contradictory, including to some investors, particularly following the stock selloff yesterday after concerns over Russia and China prompted Nvidia to issue lower-than-expected guidance for second-quarter revenue.

    Continue reading
  • Another AI supercomputer from HPE: Champollion lands in France
    That's the second in a week following similar system in Munich also aimed at researchers

    HPE is lifting the lid on a new AI supercomputer – the second this week – aimed at building and training larger machine learning models to underpin research.

    Based at HPE's Center of Excellence in Grenoble, France, the new supercomputer is to be named Champollion after the French scholar who made advances in deciphering Egyptian hieroglyphs in the 19th century. It was built in partnership with Nvidia using AMD-based Apollo computer nodes fitted with Nvidia's A100 GPUs.

    Champollion brings together HPC and purpose-built AI technologies to train machine learning models at scale and unlock results faster, HPE said. HPE already provides HPC and AI resources from its Grenoble facilities for customers, and the broader research community to access, and said it plans to provide access to Champollion for scientists and engineers globally to accelerate testing of their AI models and research.

    Continue reading

Biting the hand that feeds IT © 1998–2022