Invevo Ltd: Transforming high-volume data into intelligent, real-time decision-making

Overview

Invevo Ltd and Square Marble Technology Ltd develop scalable, event-driven architectures that power intelligent automation across high-volume, real-time data environments. Their platforms support invoice-to-cash lifecycle optimisation and working capital performance, processing millions of transactions and events per minute across complex ecosystems.

Operating at this scale required the design of resilient distributed systems capable of ingesting, transforming, synchronising, and querying continuously evolving data streams without compromising performance or integrity.

Knight R&D partnered with both companies to ensure their technological advancements were rigorously analysed and translated into a defensible R&D tax relief submission.

The Technical Challenge

The engineering challenge was not simply one of scale, but of architectural uncertainty.

Data arrived in unpredictable formats from multiple sources. Event streams needed to be synchronised with static datasets in real time. Decision-making had to occur with low latency while maintaining consistency across millions of records per minute.

Key uncertainties centred on whether streaming tools could reliably operate as systems of record, how dynamic joins between live and historical datasets could be achieved without latency penalties, and how schema-agnostic frameworks could adapt automatically to evolving data structures.

These challenges could not be resolved through routine configuration of existing technologies. They required iterative experimentation, architectural redesign, and the development of new processing layers across the system stack.

Knight R&D’s Approach

We worked directly with technical architects and senior engineers to dissect the system architecture layer by layer. Our focus was to identify where genuine technological uncertainty existed, distinguish advancement from routine engineering, and evidence why the solutions were not readily deducible by a competent professional.

Qualifying R&D activity spanned distributed data ingestion, real-time indexing and synchronisation frameworks, event alignment mechanisms, dynamic schema interpretation layers, and the development of concurrent analytics environments capable of supporting multi-user access without degradation.

Rather than producing a surface-level claim, we translated complex distributed engineering into a structured, legislation-aligned technical narrative designed to withstand HMRC scrutiny.

The outcome

The resulting submission secured substantial tax relief, recognising sustained investment in original software engineering.

Beyond the financial benefit, the process strengthened internal documentation standards, clarified the scope of qualifying innovation across distributed systems, and established a repeatable framework for future claims as development continues.

Why this matters

Modern R&D increasingly occurs within distributed architectures, AI-enabled platforms, and high-throughput data environments. Innovation does not always look like laboratory research — it often sits within complex engineering decisions that push existing technologies beyond their intended limits.

Invevo and Square Marble’s work exemplifies the type of software advancement that qualifies under UK R&D legislation when properly analysed and articulated.