Insights

Cloud Engineering Expertise Infinite Lambda specializes in building end-to-end data platforms on the cloud, making it a valuable partner for organizations seeking to enhance their cloud infrastructure, migrate data operations, or scale data-driven solutions efficiently.

Industry Diversification With experience across healthtech, biotech, fintech, adtech, edtech, NGO, e-commerce, retail, and entertainment, the company is well-positioned to offer tailored data and cloud solutions to clients in various sectors looking to innovate and modernize.

Advanced Technology Stack The company's utilization of cutting-edge tools like Databricks, Kubernetes, and Jenkins presents opportunities to introduce state-of-the-art cloud and data engineering solutions to clients aiming to optimize their data workflows.

Growth and Revenue Potential Generating between fifty to one hundred million dollars in revenue with a relatively small team, Infinite Lambda demonstrates strong market demand, indicating opportunities to upsell additional consulting, managed services, or technology integrations.

Strategic Industry Position As a specialized consultancy with extensive cross-sector experience, Infinite Lambda can position itself as a trusted partner for digital transformation initiatives, attracting large enterprises and innovative startups seeking expert guidance on cloud and data strategies.

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Infinite Lambda Tech Stack

Infinite Lambda uses 8 technology products and services including Databricks, Kubernetes, Jenkins, and more. Explore Infinite Lambda's tech stack below.

Databricks
Big Data Processing
Kubernetes
Containerization
Jenkins
Continuous Integration
DB2
Database
git
Development
RequireJS
Javascript Frameworks
TypeScript
Programming Languages
Bootstrap
UI Frameworks

Media & News

Infinite Lambda's Email Address Formats

Infinite Lambda uses at least 1 format(s):

Infinite Lambda Email Formats	Example	Percentage
First@infinitelambda.com	John@infinitelambda.com	49%
First.Last@infinitelambda.com	John.Doe@infinitelambda.com	1%
First@infinitelambda.com	John@infinitelambda.com	49%
First.Last@infinitelambda.com	John.Doe@infinitelambda.com	1%

Frequently Asked Questions

What is Infinite Lambda's official website and social media links?

Infinite Lambda's official website is infinitelambda.com and has social profiles on LinkedIn.

What is Infinite Lambda's NAICS code?

Infinite Lambda's NAICS code is 518 - Data Processing, Hosting, and Related Services.

How many employees does Infinite Lambda have currently?

As of December 2025, Infinite Lambda has approximately 104 employees across 4 continents, including EuropeAsiaSouth America. Key team members include Ceo: N. R.Chief Customer Success Officer - (cco): G. A.Chief Product Officer: P. P.. Explore Infinite Lambda's employee directory with LeadIQ.

What industry does Infinite Lambda belong to?

Infinite Lambda operates in the Data Infrastructure and Analytics industry.

What technology does Infinite Lambda use?

Infinite Lambda's tech stack includes DatabricksKubernetesJenkinsDB2gitRequireJSTypeScriptBootstrap.

What is Infinite Lambda's email format?

Infinite Lambda's email format typically follows the pattern of First@infinitelambda.com. Find more Infinite Lambda email formats with LeadIQ.

When was Infinite Lambda founded?

Infinite Lambda was founded in 2019.

Infinite Lambda

Q: What is Infinite Lambda's official website and social media links?

Infinite Lambda's official website is infinitelambda.com. Infinite Lambda has social profiles on LinkedIn.

Q: How many employees does Infinite Lambda have currently?

Infinite Lambda has approximately 104 employees.

Q: What technology does Infinite Lambda use?

Infinite Lambda's tech stack includes NoSQL, Microsoft ASP.NET, Power BI, Google Ads, gRPC.

Data Infrastructure and AnalyticsEngland, United Kingdom51-200 Employees

Infinite Lambda is a global data and AI consultancy and academy that helps enterprises modernise their data systems and develop agentic AI capabilities for measurable impact.

Our proprietary tools and methodologies accelerate value, reduce risk, and ensure successful adoption.

With 250+ data and AI projects and 100+ migrations from legacy to modern data platforms, our expertise enables fast data use cases like intelligent apps and machine learning as well as slow, deliberate use cases, such as business intelligence, analytics, and data science.

Strategising, building, and mentoring for scalability, we empower leading organisations to innovate and stay agile in highly competitive markets.