Insights

Innovative AI Solutions Datasparq’s focus on operationalizing ethical AI through tailored data science and platform solutions indicates an opportunity to target organizations seeking responsible AI deployment and advanced analytics capabilities.

Recent Product Launches The launch of the AI Bar demonstrates Datasparq’s ability to develop cutting-edge AI-powered products, suggesting potential for partnerships or custom solutions in hospitality, retail, and customer experience industries.

Mid-Sized Market Niche With an employee base of 51-200 and revenues between 1 and 10 million dollars, Datasparq occupies a niche suitable for mid-range clients looking for scalable, responsible AI implementations.

Technology Stack Familiarity Utilizing mainstream data and cloud technologies like Google BigQuery, Azure Machine Learning, and Python suggests compatibility with client infrastructures, easing sales conversations around integration and customization.

Growth Potential Given the company’s recent product innovations and focus on ethical AI, there is an opportunity to expand into sectors such as hospitality, entertainment, and retail, which are increasingly investing in AI-driven customer engagement solutions.

Datasparq Tech Stack

Datasparq uses 8 technology products and services including Google BigQuery, MySQL, JSON-LD, and more. Explore Datasparq's tech stack below.

  • Google BigQuery
    Data Warehousing
  • MySQL
    Database
  • JSON-LD
    Javascript Frameworks
  • Microsoft Azure Machine Learning
    Machine Learning
  • Linux
    Programming Languages
  • Python
    Programming Languages
  • HSTS
    Security
  • Google Analytics
    Web Analytics

Datasparq's Email Address Formats

Datasparq uses at least 1 format(s):
Datasparq Email FormatsExamplePercentage
First.Last@datasparq.aiJohn.Doe@datasparq.ai
47%
First.MiddleLast@datasparq.aiJohn.MichaelDoe@datasparq.ai
4%
First@datasparq.aiJohn@datasparq.ai
2%
First.Last@datasparq.aiJohn.Doe@datasparq.ai
47%

Frequently Asked Questions

Where is Datasparq's headquarters located?

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Datasparq's main headquarters is located at 29 Clerkenwell Road, London, England, GB. The company has employees across 1 continents, including Europe.

What is Datasparq's official website and social media links?

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Datasparq's official website is datasparq.ai and has social profiles on LinkedIn.

What is Datasparq's NAICS code?

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Datasparq's NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does Datasparq have currently?

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As of October 2025, Datasparq has approximately 51 employees across 1 continents, including Europe. Key team members include Chief Operating Officer: O. B.Head Of People: A. H.Head Of Engineering: M. S.. Explore Datasparq's employee directory with LeadIQ.

What industry does Datasparq belong to?

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Datasparq operates in the IT Services and IT Consulting industry.

What technology does Datasparq use?

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Datasparq's tech stack includes Google BigQueryMySQLJSON-LDMicrosoft Azure Machine LearningLinuxPythonHSTSGoogle Analytics.

What is Datasparq's email format?

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Datasparq's email format typically follows the pattern of First.Last@datasparq.ai. Find more Datasparq email formats with LeadIQ.

When was Datasparq founded?

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Datasparq was founded in 2017.

Datasparq

IT Services and IT ConsultingUnited Kingdom51-200 Employees

Datasparq design, build and run data science and data platform solutions to help you operationalise ethical AI.

Section iconCompany Overview

Headquarters
29 Clerkenwell Road, London, England, GB
NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2017
Employees
51-200

Section iconFunding & Financials

  • $1M$10M

    Datasparq's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $1M$10M

    Datasparq's revenue is estimated to be in the range of $1M$10M

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