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  • Agentic blueprint
    Vision

    Agentic enterprise blueprint

    Al agents are only as good as the data foundation and the business context beneath them. Here is how you build these.

    learn more

    Modern data platform

    Cloud-native infrastructure, designed for enterprise Al

    Business context

    Ontology, canonical metrics, semantic layer

    AI agents

    Infinite possibilities when the foundation actually works

  • Flowline
    Flowline by Infinite Lambda
    Solution

    Data & AI modernisation
    as software

    Flowline crawls your legacy estate, converts it to a modern stack, and produces a first-pass ontology in one continuous motion.

    see how

    ETL modernisation

    Informatica, Talend, SSIS to Snowflake, dbt, and Fivetran:
    dependency-aware and fully reconciled

    Business ontology & semantic layer

    Reverse-engineered logic, canonical definitions, agent-ready
    context on Omni

    BI modernisation

    Al-powered analytics onto the modern semantic layer

  • Case studies
  • Events
  • Tech blog

    Tech blog

    We are keen on sharing knowledge, so head to the blog for tips on cutting-edge implementations.

    Visit the Blog

    You have a vision.
    We have the experience.

    BOOK: DATA & AI: FAST AND SLOW

    TECH GUIDE: ML REAL-TIME SEARCH PERSONALISATION

    WHITE PAPER: BUILDING TREs IN THE CLOUD

insights

Tech blog

It is not magic. It is hard work, talent and infinite curiosity to explore innovation. Check out the way we leverage cutting-edge tools and practices; we happily share everything we know.

ISO 27001 certified
Infinite Lambda Achieves ISO 27001 Certification
Infinite Lambda has achieved ISO 27001 certification, the leading international standard for information security management. The certification was awarded by LRQA following an independent audit of our policies, processes, and controls. ISO/IEC 27001/2022 sets out the requirements for an information security management system, covering how organisations identify, manage, and reduce risk to the security of
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17 July 2026
Enterprise AI challenge everyone ignores
Addressing the AI Challenge Everyone Tries to Ignore
Most data leaders do not need convincing that AI is worth investing in. They have seen the demos, the technology is impressive, and the use cases are obvious. We could say the business case writes itself. And yet, somewhere between the proof of concept and production, things stall. That stall almost always traces back to
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29 June 2026
omni-semantic-layer-architecture
Omni Semantic Layer Architecture: AI Agents and the Future of Analytics
Giving an AI agent access to your database is the easy part. You now need to get it to return answers your team can actually trust, and also write those answers into the tools developers already use. This is the architecture challenge and I will show you how to solve it with the Omni semantic
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26 June 2026
can you trust enterprise AI
Can you trust enterprise AI? Only if you have a semantic layer.
Every executive team is asking the same question right now: how do we turn our AI investment into better business decisions? The ambition is there; so are the budgets and the tools. But the results do not match expectations. When looking for the reason, people tend to think the model is wrong or there is
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24 June 2026
Infinite Lambda achieves B Corp Certification
Infinite Lambda Achieves B Corp Certification
We are happy to announce that Infinite Lambda is now a certified B Corp. This achievement reflects the way we work, the choices we make, and the impact we want to have on the people and world around us. B Corp certification shows that a business meets rigorous standards for social, environmental, and governance performance,
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17 April 2026
Infinite Lambda is Fivetran Partner of the Year for Consulting, EMEA, 2026
Infinite Lambda named Fivetran Consulting Partner of the Year for EMEA (2026)
Infinite Lambda has been named Fivetran 2026 EMEA Partner of the Year for Consulting. This is our fourth recognition from Fivetran, highlighting our continued excellence in helping organisations integrate data efficiently and reliably, while enabling teams to access the insights they need to power enterprise AI projects. The Fivetran Partner of the Year for Consulting
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24 March 2026
how to generate synthetic data with an LLM
How to generate synthetic data with an LLM
In this article, we will show you how to build a scalable, safe, and realistic synthetic data generation system. To do this, we will be using a self-hosted LLM via a LangChain-based producer-consumer workflow. In order to ensure privacy compliance, we will leverage differentially private data generation. Why you need synthetic data generation at scale
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27 February 2026
data modernisation in practice
From Legacy Chaos to AI Confidence: Data Modernisation in Practice
Enterprise AI is moving from debate to reality. Most organisations use AI regularly in at least one business function, and AI tools are now a part of the daily routine of a large share of the global workforce. Budgets have followed, with tens of billions spent on AI infrastructure and apps. Have returns matched the
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27 February 2026
Informatica vs dbt
Informatica vs dbt: The Ultimate Comparison
After more than two decades of honourable service, Informatica PowerCenter is approaching end-of-support. During these years, on-premise, visual, point-and-click tools have also lost the battle to code-driven, cloud-native alternatives, especially in the enterprise arena. Now, enterprise AI ambitions are giving data leaders the ultimate mandate to overcome the traditional enterprise inertia, and do the jump
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26 February 2026
A better way of extracting information with LLMs – GRPO experiment
Extracting information with LLMs: GRPO to improve performance
Large language models are increasingly used for information extraction, where unstructured text needs to be converted into structured data for downstream systems. Looking to make an LLM more efficient and reliable at this task, we ran an experiment with Group Relative Policy Optimisation (GRPO). In this blog post, we will evaluate this reinforcement learning technique
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25 February 2026
implementing data mesh with adlc
Implement Data Mesh: ADLC as the Great Enabler
Over the past few years, data mesh has attracted significant attention. Organisations adopt it to address slow delivery, central bottlenecks, and unclear ownership in their data landscape. However, turning this ambition into practice can prove challenging. The difficulty lies not only in designing the right technical architecture, but also in leading the organisational change, especially
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19 February 2026
How to scale Postgres to Kafka
How to Scale Postgres to Kafka: Snapshotting 1.5 bn Rows Without Crashing Production
Replicating data from a critical operational PostgreSQL database into Kafka at scale is not a trivial challenge. When datasets reach billions of rows, performing a naive full snapshot can overwhelm and degrade the performance of production databases. At Infinite Lambda, we faced this challenge when replicating close to 300 tables from a Postgres database into
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6 February 2026