![]() ![]() Two years ago, the company faced concern about the viability and legitimacy of its project. This marks a huge transition from the reception the Fetch.ai team learnt to expect in the early days. “We passed that test, the industry were interested and impressed.” “The first question is always about safety and reliability, so it can take a new company like Tesla to shake things up and try something new. “We had a lot of interest at the conference, but the difficulty is that the automobile industry is very conservative,” he explained. When asked how successful the event had been for Fetch, the CEO explained that, even though it was difficult to excite automobile executives, the Deep Parking technology had delivered. This forms part of a bigger strategy, focused on securing integration partnerships with leading firms. With the IAA attended by many of the auto industry’s biggest names, it’s clear that Fetch.ai intended to put this technology in front of some very important people. ![]() Aggregators, what aggregators? $fet /4Hdiav3bsK The conference saw Fetch demonstrate the potential of powerful new deep parking algorithms that send the user a live feed of parking recommendations suggesting by an AI agent constantly analysing nearby availability, costs, road conditions, and other factors.īooking directly with the parking space through AEAs from . Speaking with CEO Humayun Sheikhįollowing on from Fetch’s impressive Deep Parking showcase at the IAA global mobility conference, Coin Rivet sat down once again with Fetch.ai CEO Humayun Sheikh to discuss the past, present, and future of this exciting project. This company is Fetch.ai.įetch.ai (FET) is seeking to bridge the cutting-edge of technological innovation with the products and services we use everyday, by delivering the first multi-agent SaaS blockchain platform for the deployment of AI agents empowered by powerful machine learning algorithms. Today, that same company is on the precipice of revolutionising the way technology informs and improves our lives – from the way we drive our cars to the way we manage our cities. Two years ago, Coin Rivet chief reporter Oliver Knight visited Cambridge to investigate an emerging blockchain start-up making waves with an ambitious vision and $6m in funding from a Binance launch. Fetch’s smart ledger scales to support millions of transactions per second and is able to restructure itself to present the OEF’s digital world to the agents that use it.Fetch.ai and its native FET token are unleashing the power of blockchain-based machine learning artificial intelligence (AI). It provides market intelligence, previously locked up in centralised silos, to everyone so that any agent that wants something is assured of the shortest possible route to find another that has it. Underpinning the digital world is the smart ledger: a new generation of learning ledger that provides a collective super-intelligence to support agents’ individual intelligences. The OEF provides the senses for agents: their sight, touch and hearing to present to them a world unique to the viewer. This world acts as the ultimate value exchange dating agency: each agent sees a space optimised in real-time just for them, where important things are clear and visible and less important things are simply removed. The digital world in which agents live is called the Open Economic Framework (OEF). Agents can work alone or together to construct solutions to today’s complex problems. These are digital entities that can transact independently of human intervention and can represent themselves, devices, services or individuals. This activity is performed by Autonomous Economic Agents (AEAs). Fetch delivers the missing critical infrastructure for tomorrow’s digital economy.įetch is a decentralised digital world in which useful economic activity takes place. The network is capable of handling millions of transactions every second, powered by a collective super-intelligence and a unique Useful Proof of Work system. ![]() Fetch.AI has built the world’s first adaptive ‘smart ledger’ which enables Autonomous Economic Agents to perform proactive economic activity by adapting to events in the real world in real-time.
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