AI consulting & custom AI development

Join our customers

See how we turn 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

SUCCESSS story

We reduced catalogue processing time by 90% with computer vision and LLM categorisation

Here’s what changed for Unicatalog:

Manual image processing → automated with computer vision
Human categorisation → accelerated by LLMs
Results → 90% time savings, lower costs, higher accuracy

Go to case study

Scale smarter with our expert AI development services

AI isn’t magic—but it’s brilliant at getting real work done. At LogiNet, we focus on replacing tedious, time-heavy tasks with practical AI solutions that drive measurable results.

Whether you need consulting, custom development, or AI Ops, we provide tailored or full-cycle support. With hands-on experience and enterprise-level delivery, we blend technical expertise with strategy to deliver AI results that last.

Everything you need to go from AI idea to impact

Choose the expertise you need—or let us handle the full AI journey

Wondering where AI can deliver real results?

AI consulting & discovery

In just 4 weeks we identify 3–4 practical use cases designed to boost efficiency, speed up processes, and deliver results.

When is it useful

Facing a specific challenge
Exploring where AI could help

What you get

Business review
AI workshops
Custom AI strategy

How we do it

Discovery phase: map out your key processes, and highlight the AI opportunities
PoC implementation: We build a working Proof of Concept

Want to supercharge your app with AI?

AI app development

We seamlessly integrate AI solutions to enhance your application's performance and expand its capabilities.

When is it useful

Use it to enhance your app
Disconnected tools and data

What you get

Custom AI-enabled applications
Data connections
Agentic workflows

How we do it

Data preparation (gather, clean, and organise)
Model selection and integration (right AI models and APIs for your specific use cases)

Need AI software built just for you?

Custom AI software development

When off-the-shelf AI falls short, you need custom innovation. We build AI software tailored to your challenges.

When is it useful

Existing AI can’t solve your needs
Need a truly custom AI app

What you get

Custom AI software
Model fine-tuning and training
Computer vision applications

How we do it

Technical discovery
Model development and fine-tuning
Application build and integration

Unsure where to run your AI?

AI OPS / AI DEVOPS

At LogiNet, we deliver AI infrastructure that’s secure, scalable, and optimised—whether cloud, on-premise, or hybrid.

When is it useful

Occasional AI? Use cloud APIs.
Critical AI? Need dedicated infrastructure.

What you get

AIOps for AI training & inference
AI-as-a-Service configuration
Cost & performance monitoring

How we do it

Infrastructure design
Scaling and optimisation
Complex monitoring and automation

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 our proven AI solutions, crafted from hands‒on experience

Advanced AI voicebot for human‒like conversations

product

Handles calls and in‒app chats across web and mobile
Human‒like interactions powered by LLM, speech‒to‒text, and text‒to‒speech
Perfect for customer support, appointment booking, and more
Easy to integrate with your existing systems

Learn more

Sticky Prompts

Shared prompt management to boost LLM efficiency

Product

Central prompt library for easy reuse and management
Works as a browser add-on or integrates with internal tools
Cuts manual effort, improves LLM outcomes

Learn more

LLM-based tagging and categorisation

Automated text classification for smarter workflows

Product

Uses LLMs to tag and categorise text where rules fail
Ideal for customer service, fraud detection, complaint handling
Processes large data volumes fast
Integrates seamlessly into your current systems

In-house models and AI Operations

Secure, private AI model deployment for enterprises

Solution

Deploy fine-tuned AI models (Llama, Mistral) on secure cloud or hybrid setups
Keep full control of your data and operations—no third-party risks
Built for GDPR compliance and sensitive data handling
Ideal for enterprises needing private, scalable AI

Document digitisation with computer vision

Transform paper-based processes with AIn extraction

solution

Automates data extraction from contracts, images, and scanned docs
Powered by multimodal AI, OpenCV, and Tensorflow
Speeds up digitisation, metadata tagging, damage assessment
Includes human verification for accuracy and compliance

Bridge the gap between AI and ROI

Turn AI ambition into measurable results. Whether scaling pilots or integrating enterprise‒wide, we’ll help align your AI investments with real business impact—securely, strategically, at scale.

Speak to us today to get started.

Questions you’re probably asking—and our honest answers

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?

Fresh thinking from LogiNet

Everything we wish more businesses knew about AI

From pilot to pay‒off: turning AI experiments into real ROI (2025 edition)

What’s inside the video?

Why chasing an “AI strategy” is a distraction, focus on profit leaks first.
Where to start: back-office workflows vs. client-facing experience.
Concrete ROI wins in support and sales (transferable to legal ops).
The truth behind the hype: 80 % of great AI is disciplined software engineering.
Live demo: a self-hosted voice agent resolving real customer calls, no SaaS lock-in, full control.

Watch & get inspired: ➡️

video podcast