AI & Data Engineering

AI is advancing rapidly.
Are you falling behind?

To stay competitive as AI capabilities accelerate, organisations require a clear strategy and an expert delivery partner. Razor helps industrial and enterprise clients move beyond experimentation to build robust data foundations and deploy Generative AI and Machine Learning solutions that deliver measurable outcomes - including a 40% reduction in manual data processing time achieved for TotalEnergies using Razor's ML forecasting models.

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AI Solutions Trusted By Global Leaders

The Challenge

Why Do Most AI Projects Fail to Reach Production?

According to Gartner's 2022 CIO Survey, fewer than 53% of AI projects advance from pilot to production (Gartner, "CIO and Technology Executive Survey," 2022). Razor closes this gap by embedding AI delivery within existing software infrastructure - not treating it as a standalone workstream.

A 2023 McKinsey Global Survey found that only 22% of enterprises have successfully scaled more than one AI use case across their organisation (McKinsey & Company, "The State of AI in 2023"). Since 2016, Razor has delivered AI and data programmes for organisations including Rolls-Royce, TotalEnergies, and Sheffield Forgemasters - embedding AI directly into core operational workflows and software infrastructures rather than leaving pilot projects isolated in R&D environments.

Data Maturity First. AI is only as good as the data feeding it. We fix the foundation.
Rapid Validation. Identifying commercial viability through high-speed Innovation Sprints.
Enterprise Security. Deploying Large Language Models securely on your proprietary infrastructure.

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At a Glance: AI & Data Engineering

What we do: We build bespoke Generative AI, Machine Learning models, and robust Data Architectures for enterprise-scale operations.
Who we help: Enterprise manufacturers, energy companies, and regulated-sector organisations across the UK, Europe, and North America that require AI deployed within their own private cloud infrastructure - ensuring full GDPR compliance and zero exposure of proprietary process data to third-party model providers.
Our approach: Razor's three-stage AI delivery framework begins with a Data Maturity Assessment, advances through rapid AI Activation (delivering a working proof-of-concept within eight weeks), and culminates in enterprise-wide AI Transformation. Clients in the manufacturing sector have reported ROI realisation within six months of initial activation.

Your AI Journey

Wherever you are, we accelerate you.

From finding your starting block to orchestrating complex enterprise-wide machine learning architectures. Here is how we build your absolute competitive advantage.

AI Readiness Assessment

Before you build, you must assess. We evaluate your current technical infrastructure, data maturity, and corporate culture to provide a clear, actionable roadmap for intelligent automation. Find out exactly where to start.

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AI Activation

Razor's fast-track AI Activation programme identifies the highest-impact, lowest-risk commercial use case within your organisation and delivers a fully tested AI proof-of-concept within eight weeks. Organisations validate commercial viability and demonstrate measurable ROI before committing to full-scale deployment budgets.

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AI Activation Plus

Bespoke AI Projects

Off-the-shelf solutions don't solve unique industry problems. We architect and build proprietary machine learning models, computer vision systems, and bespoke LLM integrations that become your exclusive IP.

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Data & AI Transformation

Razor's Data and AI Transformation service modernises fragile data architectures and implements enterprise-wide governance aligned to DAMA-DMBOK standards. Clients move from siloed, untrustworthy data estates to unified, auditable data platforms - enabling AI deployment at scale across manufacturing, energy, and professional services verticals. Typical programme durations range from six to eighteen months.

Drive Transformation

Board-Level Impact

Don't just take our word for it. See the results.

Trusted by executives and industry leaders to deliver true AI transformation.

Ben Morgan

CEO - AMRC

"When the CEO rings me and says, ‘We thought we could do it 20 times quicker but have worked out a way to process it 4,000 times quicker’ that’s when you know you have partnered with the right guys."

Darren Cork

Head of Digital Transformation - Gripple

"Razor didn't just give us software; they partnered with us to fundamentally change how we use data on the shop floor, removing friction and driving massive efficiency gains."

Iain Scott

Director & Founder - Pyroptik

"Razor’s deep expertise allowed us to unlock the full capability of the device's imaging system. Data that was previously inaccessible is now structuring our core algorithms."

Your Next Move

Explore the AI Impact

Read our core technical case studies detailing how we have successfully deployed machine learning and data infrastructure within market-leading enterprises.

Private AI for Knowledge Management

Discover how Razor built a private, on-premise AI system for RTO Materials that reduced knowledge onboarding time by 50%, enabling secure, governance-compliant AI across sensitive enterprise data.

Global Energy Demand Prediction

See how Razor migrated TotalEnergies from a slow, non-scalable architecture to a cloud-based Azure Databricks MLOps platform - enabling parallel machine learning workloads and accurate energy demand forecasting across 130 countries.

Zero Trust for Distributed AI

Discover how Razor implemented a Zero Trust architecture using NVIDIA Confidential Computing and H100 GPUs to secure distributed AI inference - eliminating data exposure risk in multi-tenant enterprise environments.