Radicalbit

Radicalbit

https://radicalbit.ai/
https://www.linkedin.com/company/radicalbit/

Radicalbit, a privately owned company headquartered in Italy, was founded in 2015, employs approximately 30 individuals, and reported $4.0M in revenue as of 2023. It functions as a tier 2 media tech buyer. The company specializes in enterprise cloud solutions, offering continuous intelligence platforms that incorporate stream processing and AI.

Revenue

Founded

2015

Headcount

28

Headquarters

Italy

Primary Segment

Enterprise cloud

Ownership

Privately Owned

News Summary:

N/A

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Radicalbit offers products in the connectivity and cloud industry. Radicalbit's product portfolio comprises of enterprise cloud.

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Radicalbit's revenues were less than $10M in 2023. All the revenue comes from data harmonisation and management.

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May

19th

2026

03:45

Artificial Intelligence, B2B Tag

Transparent AI Governance: Why Control Cannot Be a Black Box | Radicalbit

Opening up the code of an infrastructure that handles enterprise data is never a simple decision. Here is the reasoning behind the new choice that the Radicalbit team is proud to announce, and the concrete implications for companies that want real control over their AI stack.

May

12th

2026

04:17

Emerging Tech, Artificial Intelligence, B2B Tag

Digital Sovereignty in the AI Era: how European companies can take back control

For a long time, digital sovereignty remained confined to the realm of theoretical debate: an ethical imperative lacking, however, an immediate operational framework. The advent of LLMs has upended this paradigm, transforming technological autonomy from an abstract concept into a pillar of corporate strategy.

May

6th

2026

04:42

Emerging Tech, Artificial Intelligence, B2B Tag

Visibility, governance, and compliance: the role of the AI Gateway in the enterprise stack

Artificial Intelligence entered the enterprise before any architecture existed to govern it. It happened quickly, and in a decentralized way: development teams, business departments, and product lines started building applications that each call an LLM on their own — their own API key, their own contract with the provider, their own prompt library.

Apr

27th

2026

02:05

Artificial Intelligence, B2B Tag

The Composable AI Stack: Why Monoliths are Falling Behind

The Artificial Intelligence landscape is evolving at an unprecedented pace, driven by the explosive capabilities of Large Language Models (LLMs) and AI Generative tools. However, the architectures needed to deploy these sophisticated models are often outdated.

Dec

15th

2025

04:24

Artificial Intelligence, B2B Tag

How to Solve Data and Information Fragmentation with AI and Intelligent Document Processing

In today’s business environment, efficient data and information management has become a challenge as crucial as it is complex. The rapid adoption of new digital tools, combined with the persistence of paper documentation and high employee turnover, threatens to fragment the corporate knowledge base.

Dec

9th

2025

08:53

Artificial Intelligence

LLM Observability: Strategic Governance for Secure and Scalable AI

Generative AI, and especially Large Language Models (LLMs), are no longer merely academic exercises: they are now a mission-critical infrastructure. These models are redefining user interaction and automating internal business processes, offering an unprecedented competitive advantage.

Dec

5th

2025

10:16

ESG, Artificial Intelligence, B2B Tag

AI for Operational Advantage in Smart Mobility

Smart Mobility has emerged as a disruptive revolution in transport infrastructure, positioning itself as a key element for the sustainability and liveability of major urban centres. The combination of IoT sensors, real-time data analysis and Artificial Intelligence is redefining the way citizens move around, making transport more efficient, integrated and, above all, sustainable.

Dec

3rd

2025

13:41

Artificial Intelligence, B2B Tag

AI Assistants and Data Integration: Transforming Enterprise Data Access

An AI Assistant – applied to enterprise data – represents a new application layer capable of fundamentally reshaping how business and IT interact with corporate information systems. When such an assistant can translate natural language questions into SQL queries executed on local systems, it transcends novelty and becomes a genuine enabler of Applied AI, provided the organization commits to breaking free from data silos.

Dec

1st

2025

09:04

Artificial Intelligence

Data-Driven Strategies in E-Commerce with AI

The e-commerce sector is undergoing rapid evolution. Consumers are no longer satisfied with static digital shops: they expect tailored shopping experiences, tailored to their specific needs and behaviours. Personalisation has become essential for customer loyalty and increasing customer lifetime value.

Nov

24th

2025

10:36

Artificial Intelligence, B2B Tag

Governing Enterprise AI for Security and Efficiency

Generative AI is no longer a futuristic technology but a business imperative : every day we witness an acceleration in the adoption of LLMs like OpenAI, Mistral, or local and on-premise models. This wave of innovation promises to revolutionize processes, unlocking unprecedented productivity.

Nov

20th

2025

09:52

Leveraging AI in Betting for Operational Excellence

The online betting industry is experiencing rapid expansion globally. This positive trend brings with it two crucial challenges for operators: intensified competition and the need for advanced fraud protection. Players also expect highly personalised experiences, while regulations require ever-higher standards of security and accountability.

Nov

10th

2025

13:43

Artificial Intelligence, CT_Monitor Company

5 Ways to Ensure Data Governance in AI Applications

In the relentless pursuit of competitive advantage, artificial intelligence has transitioned from a futuristic buzzword to a cornerstone of modern business strategy. For executives and managers, the allure of AI is undeniable, promising unprecedented efficiency, sharper insights, and innovative product development.

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