Join our customers
See how LogiNet turns AI ambition into real‒world results
Discover AI opportunities and train your team
2–4 weeks
Design and deploy AI solutions that truly fit your business
1–3 months
Optimise and expand your AI with expert support
Ongoing (support, optimisation)
Hear it from the results:
We reduced catalogue processing time by 90% with computer vision and LLM categorisation
SUCCESSS story
AI isn’t magic — but it’s brilliant at getting real work done. We focus on replacing tedious, time‒heavy operational tasks with practical AI solutions that deliver results.
Unicatalog, a platform that helps consumers browse weekly sales flyers digitally, once relied entirely on human‒powered workflows to process vast amounts of image data. It was slow, costly, and error‒prone.
That’s where we stepped in. By harnessing the power of computer vision and LLM categorisation, we transformed their manual processes into an AI‒driven workflow — slashing catalogue processing time by 90%.
Tired of AI projects that don’t pay off? We help you prove business value at every step
Too many AI initiatives fail to deliver real returns — but that ends here. At LogiNet, we design AI projects with clear KPIs and measurable outcomes, so you can track real improvements in efficiency, revenue, and customer satisfaction.
Is your AI scattered and messy? We unify fragmented AI efforts into a scalable strategy
Disconnected AI experiments across departments quickly lead to chaos, not innovation. LogiNet brings fragmented initiatives together into a cohesive, business-wide strategy designed for real growth — not just endless experimentation.
Outgrowing one-size-fits-all tools? We build AI solutions tailored to your reality
Generic AI tools might sound good in sales pitches, but they rarely solve your real problems. At LogiNet, we design AI that fits your processes, your people, and your goals — not the other way around.
Worried about AI risks and compliance? We build AI solutions you can trust
AI compliance, bias, and costly mistakes are real risks — but they’re risks you don’t have to face alone. LogiNet implements strict governance frameworks and ethical AI practices from day one, ensuring your solutions are reliable, responsible, and fully regulation-ready.
Scale smarter with our expert AI development services
When is it useful
Facing a specific challenge? We’ll analyse your processes and propose tailored AI-based solutions to solve it.
Exploring where AI could help? We’ll uncover hidden opportunities to streamline work and drive measurable improvements.
What you get
Business review: Deep-dive process analysis with your key stakeholders to spot inefficiencies and automation potential.
AI workshops: Guided sessions to connect real problems with generative AI capabilities, turning ideas into actionable insights.
Custom AI strategy: A tailored plan mapping where and how AI can create value across your operations.
How we do it
Discovery phase: We show your teams how generative AI can solve real business challenges, map out your key processes, and highlight the AI opportunities that matter most — all in just four weeks.
PoC implementation: We build a working Proof of Concept (PoC) app that tackles one of your selected challenges, backed by defined success metrics to prove real efficiency gains.
When is it useful
Need to extend your application’s capabilities? We integrate AI models and APIs to add smart features fast.
Struggling with disconnected tools and data? We connect LLMs, databases, and structured or unstructured data into unified, intelligent workflows.
What you get
Custom AI-enabled applications: Seamless integration of prebuilt AI models, APIs, and tools into your software environment.
Data connections: Smart linking of traditional databases, unstructured data, and LLMs (OpenAI, Anthropic, etc.) through efficient ETL processes.
Agentic workflows: We create AI agents that work autonomously across systems, handling tasks, interactions, and decision flows.
How we do it
Needs assessment: We work closely with your teams to define clear business needs and project goals.
Data preparation: We gather, clean, and organise the necessary data for successful AI integration.
Model selection and integration: We choose the right AI models and APIs for your specific use cases and build seamless connections into your existing systems.
When is it useful
Facing challenges that existing AI tools can’t solve? We extend base models or create new ones to fit complex, unique needs.
Need a truly bespoke digital product? We build tailored AI applications that go far beyond basic integrations and configurations.
What you get
Custom AI software: Development using traditional methods, open-source models, finetuned LLMs, or fully custom-trained AI systems.
Model fine-tuning and training: Embedding your domain-specific knowledge into leading LLMs or creating models from scratch.
Computer vision applications: Advanced solutions like object recognition and analysis using tools such as OpenCV and Google Vertex.
How we do it
Technical discovery: We assess your business needs, data assets, and operational challenges to define clear AI development goals.
Model development and fine-tuning: We extend, adapt, or create AI models customised to your specific industry and problem set.
Application build and integration: We develop complete AI-driven software solutions, fully integrated into your IT environment, whether on-premise or cloud-based.
When is it useful
Using AI only occasionally? Cloud-based APIs might do the job.
Handling sensitive data, mission-critical AI, or high-volume operations? A dedicated infrastructure is essential to ensure security, speed, and cost-efficiency.
What you get
AIOps for AI training and inference: Full operational support for both building and running AI models at scale.
AI-as-a-Service configuration: End-to-end setup of APIs, software, and infrastructure for seamless AI delivery.
Cost and performance monitoring: Ongoing tracking and optimisation of AI service costs and system performance.
How we do it
Infrastructure design: We architect AI infrastructure based on your needs — whether cloud-native, on-premise, or hybrid.
Scaling and optimisation: We implement smart scaling, parallelisation, and resource management strategies to keep systems fast and cost-effective.
Complex monitoring and automation: Through advanced monitoring, we detect issues early, predict capacity needs, and automate scaling to ensure reliability and efficiency.
Missing AI leadership inside your company? We train internal champions to drive success
AI adoption shouldn’t live in a silo or depend solely on external experts. We train your in-house teams alongside building AI solutions, giving you the skills and confidence to manage, adapt, and scale AI long after the project ends.
Tools and technologies that power your AI success
Commercial LLMs
ChatGPT 3.5-4, Google Gemini, Anthropic Claude
Open source LLMs
LLama, Mistral, Mixtral, Huggingface models
Text to speech
ElevenLabs, Microsoft Azure TTS, Google Cloud TTS
Speech to text
Whisper, AssamblyAI
Computer vision
ChatGPT Vision, Azure Vision Studio, Google Vertex, AWS Computer Vision
Image generation
Dall-E, Midjourney, Stable Diffusion
Tools for custom workflows & models
TensorFlow, Pytorch, ONNX, Keras, CUDA, JAX
Equip your business with proven AI solutions, crafted from hands‒on experience
We’ve been building AI‒driven solutions long before it was called AI — back when it was simply known as machine learning. Products like Cognitive Calls reflect our deep expertise in turning AI potential into measurable business value.
LLM-based tagging and categorisation
Automated text classification for smarter workflows
Product
Our AI-driven tagging solution uses large language models to categorise text with exceptional precision — even where rule-based methods fail. Ideal for customer service, complaint handling, fraud detection, and message prioritisation, it processes large volumes of data quickly and integrates seamlessly into your existing systems.
In-house models and AI Operations
Secure, private AI model deployment for enterprises
Solution
For large enterprises handling sensitive data, external AI services bring serious risks — from GDPR violations to potential data leaks. Our solution? Deploying fine-tuned, in-house AI models like Llama and Mistral on secure cloud or hybrid infrastructures, giving you full control over your data and operations.
Document digitisation with computer vision
Transform paper-based processes with AI-powered extraction
solution
Our web-based tool automates extracting data from contracts, images, and scanned documents. Using multimodal AI models and computer vision tools like OpenCV and Tensorflow, it streamlines processes such as contract digitisation, metadata extraction, and damage assessment — all with built-in human verification workflows.
Bridge the gap between AI and ROI
You’ve made the first moves with AI — now it’s time to connect those initiatives to real business outcomes. Whether you're scaling pilots, refining existing models, or planning enterprise‒wide integration, we’ll help you align your AI investments with measurable ROI. Speak with us to explore how we turn AI ambition into business value — strategically, securely, and at scale.
John Radford
Client Services Director UK
About Loginet
We’re not just developers — we’re problem solvers, architects of scale, and partners in innovation.
Our strength lies in blending deep technical expertise with practical business thinking. From AI consulting to full-scale AI development services and operations, we help ambitious teams turn emerging technologies into real, measurable growth.
Already building with AI? We’re here to take you further.
Frequently asked questions
AI readiness and project initiation
What if we don't have clean, structured data yet?
How much internal AI knowledge do we need before starting a project?
Can you help if we’ve already tried AI pilots that didn’t work?
How long does it typically take to move from assessment to first results?
Custom AI development services and integration
Can you integrate AI into our existing tech stack?
What if we need more than just an off-the-shelf AI model?
Is it possible to integrate multiple AI models and traditional data sources together?
How do you ensure that AI models remain cost-efficient to run?
AI Ops, infrastructure, and security
Can you host AI models on-premise if we have sensitive data?
How do you ensure data security and privacy in AI operations?
What if we want to keep using cloud services for cost efficiency?
How do you monitor and maintain AI systems over time?
Scaling AI and long‒term growth
What happens after the first AI deployment — are we on our own?
Can you help scale AI solutions across multiple departments or products?
How do you help us build internal AI ownership, so we’re not dependent on you?
Our latest news and insights
Book an AI consultation with us!
We’ll review your goals and explore how our AI development expertise can bring measurable impact to your business.
John Radford
Client Services Director UK
What you can expect:
- A conversation about your AI needs, existing tools, and use cases
- Expert insights on how we approach custom AI development
- A clear sense of next steps if we’re a good fit
Looking forward to our chat!
Meet us in our London Office over a coffee
London Office
20 Farringdon St, London EC4A 4AB, United Kingdom