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“The data is the new oil”, a Adage invented by the British data scientist Clive Humby Back in the distant year 2006, only gained popularity in recent years thanks to the generation of AI.
But if this is true, why can’t you buy and sell data as easily as you could crude barrels, such as merchandise, as so many companies and people design it? Instead, we do years of judicial battles and well -reported documents documenting how IA providers (among other companies) have scratched the web for their data in apparent contempt and potential copyright violation.
Shouldn’t there be a “one -stop shop” for companies to buy clean and entirely under license data and use it to feed their commercial models and applications – a kind of iTunes for data or Amazon for data?
It’s thought behind Carbon arcA new startup emerging today from stealth with $ 55 startup financing led by Liberty City Ventures, with the participation of K5 Global, Raptor Group and Wasserman Media Groupi Data Utility and Real-Time Insights Exchange.
It is designed to help companies consume, exchange and integrate structured intelligence without the ineffectiveness of the traditional data acquisition.
The company was founded in March 2021 with a simple but ambitious idea: “For all the data that exists in the world, very little in the hands of decision -makers,” said Kirk McKeown, co -founder and CEO of Carbon Arc last week.
The carbon arc solves this problem by transforming unstructured data sets and partitioned into information practiced by AI. Thanks to its owner ontology framework, the standard platform, private data and makes it available on demand – offering an alternative to bulk data contracts which often leave companies to pay for information that they do not fully use.
Release of data on trapped transactions, the real world, behavior and feeling
Although the data is everywhere, a large part of it remains trapped in corporate balance sheets, corporate silos and inherited systems.
McKewn describes it as “private data is locked on each assessment of the world. The economy generates enormous exhausts – reception data, health care complaints, commercial complaints, credit cards – but it does not flow to decision -makers. ”
At the same time, AI -focused companies are faced with a usable public data pool. With models of large languages (LLM) quickly exhausting public data sets, companies must look for differentiated and owners intelligence to remain competitive.
“More data means better questions,” said McKeown. “The big players will need more and more differentiated data assets as they arrive on the market.”
The Carbon Arc solution is to process data as a financial asset, creating a structured market for data from how actions, bonds and derivatives are negotiating today. This change introduces the discovery of prices, the discovery of demand and access in real time – housing liquidity to a historically illiquid data saving.
“The age of intelligence should not be different from past revolutions – each major change in technology in history required a transformation of the underlying raw material for power,” added McKeown.
How the Carbon Arc data market works
Carbon Arc has built a bilateral market where data owners contribute to their data sets, and businesses pay megacts for the ideas they use.
- Consumption -based pricing model – Change of data purchases from major CAPEX expenses to microtransactions, where the density and speed of consumption value.
- API -based access – Companies can integrate structured intelligence directly into analysis work flows, AI models and business tools.
- Selection of granular data – Unlike the platforms that mix the KPIs, the arc carbon ensures raw and unmakeful ideas, with McKeown stressing: “We do not mix the KPIs because we do not want to introduce subjective decisions – what you select is exactly what you get.”
- Evolutionary architecture – Designed for high frequency intelligence streaming in industries such as finance, retail, development of AI and the media.
Although consumer -based prices offer flexibility, it can also be difficult to manage. “Consumer -based prices are a big business, but it scares people because it is difficult to manage,” admitted McKewn. To remedy this, Carbon Arc introduces a portfolio structure that gives customers better control over their expenses.
Already fuel companies in the sectors
The platform is already operated in several industries:
- Financial institutions and Hedge Funds – Use of real -time market intelligence for investment models.
- A-Native Companies & LLM Developers – Improvement of AI training with structured and owners’ data sets.
- Retail and consumption brands – Monitoring of consumption expenditure, optimization of merchandising and forecasting of demand.
- Media and health care organizations – Improvement of supply chains, consumer engagement and operational efficiency.
- Sports teams – The Florida Panthers team in the NHL used Carbon Arc ideas to analyze fans’ preferences, which led to new entertainment partnerships.
A clean and easy to navigate user interface with dashboards and automatic graphics
The Carbon Arc platform is designed to facilitate use, with interactive data visualizations, API connectivity and intelligence streaming in real time.
Key interface characteristics:
- Customizable filters – Users can segment data by category, company, product brand and key measures.
- Interactive data dashboards – The graphics display information such as website traffic, point of sale expenses and data from the supply chain.
- Relational cartography based on graphics – Users can explore connections between brands, products and competitors.
- API -focused integration – ensures that structured intelligence circulates transparently in commercial intelligence tools and AI models.
For retailers, the platform provides real-time comparisons on the market share, sales trends and consumer behavior to competitors like Lululemon, American Eagle and Abercrombie & Fitch.
In Enterprise Analytics, users can follow expense trends through the main retailers such as Walmart, Kroger and Target – allowing merchandise and pricing strategies.
What it means for developers and data decision makers
Software developers and data scientists are often faced with significant challenges when processing unstructured data. The carbon arc simplifies this process by automatically structuring the raw data, providing real -time information via the API and eliminating the need for extensive pre -treatment.
Instead of engaging in bulk data contracts, companies can only consume the ideas they need, reducing operational general costs and budgetary constraints.
The main advantages include:
- Improvement of data accessibility – Great value data sets become available without complex extraction or manual processing.
- Flexible pricing model – Organizations can pay according to actual data consumption, cost optimization.
- API -focused integration – Data information can be incorporated directly into existing analysis tools, dashboards and decision -making workflows.
- Historical data sets and permanently up to date – Companies acquire up -to -date information without counting on drafted data with slow travel.
“The predictions of the AI will only improve over time, but they will always need historical data as a basis,” said McKeown, declaring that Carbon Arc has data dates back centuries, but continuously adds new updates on a weekly or daily basis, depending on the specific segment.
In addition, the company guarantees that its data is saved in several locations.
“We are maniacs on redundancy,” said McKewn. “I never want to be used by a single data supplier – we have several sources to protect ourselves from pricing increases or disturbances.”
Transform data from a research product into a negotiable asset
McKeown sees the Carbon Arc platform as part of a larger change in the way the data is valued and exchanged.
“We are building a market for data from how shares, bonds and derivatives are negotiating today – offer the discovery of prices and the discovery of demand in structured exchange.”
This fundamental change in data economy could reshape AI, finance and business intelligence, which makes information in real time more accessible and more profitable.
With $ 55 million in funding, ARC carbon is well placed to redefine how companies access, market and integrate information. By transforming the data into a fluid and negotiable asset, the company is today in one of the greatest challenges of AI and commercial decision -making, informing it that the data is no longer locked, but actively stimulate ideas and innovation.
