Our custom AI development services cover LLM and machine learning systems that automate complex work and take pressure off your team. We do not resell pre-built AI products. Every generative AI system is engineered around your workflows, your data and your constraints.
Most AI development projects are one of these: AI agents, chatbots, voice agents, AI integration and automation, or computer vision. A few are two of them wired together, which is usually where the interesting results come from.
Agents that plan, call your tools and finish multi-step work, with evals, memory and human approval checkpoints where the stakes justify them.
Learn moreAssistants grounded in your own data and wired into your systems, answering from what you actually know rather than what a general model guesses.
Learn moreStreaming voice pipelines that handle real calls: interruption, turn-taking, and the sub-second latency that decides whether callers stay on the line.
Learn moreAutomating the repetitive work inside the software you already run: document processing, reporting, back-office workflows and the joins between systems.
Learn moreModels that read images and video, covering detection, classification and inspection, running in the cloud or on edge hardware at line speed.
Learn moreNothing here requires you to commit to a full build before you know what the build actually is.
We talk through the problem and what a good outcome looks like. If AI is the wrong tool, this is where we say so.
We define the problem properly: data, integration requirements, security and privacy constraints, failure modes, cost. The fee is credited toward development.
Our engineers build the system, from model work through to application design and deployment into your environment.
Optional maintenance to keep the system secure and reliable as models, data and your business change around it.
Every number on these pages comes from a system running in production.
An outbound voice agent that books meetings, qualifies leads and hands warm conversations to humans.
Support chatbot, live SEO analyser and a vector recommendation engine, all sharing one retrieval layer.
Custom-trained YOLOv8 models running on edge devices, replacing manual visual QA so the line can run around the clock.
Context-aware multi-channel chat that qualifies inbound leads and routes them to the right person.
“We needed a voice agent that could actually qualify leads, not a chatbot pretending to be one. The team shipped a sub-700ms pipeline in 6 weeks. It now handles 5k calls a day.”
“What sold us was their willingness to put AI engineers and product designers on the same call. We got working prototypes by week two and a production rollout in three months.”
“AGI designed a CRM system tailored to our client management process. It is intuitive, reliable, and has centralized all our communication and history in one dashboard. This has greatly improved client retention.”
No. Everything we build is scoped against how your organisation actually works. If an off-the-shelf product would genuinely solve your problem, we will tell you which one and save you the build.
It stays yours. We scope data handling and security constraints during the paid scoping phase, before any code is written, and we do not train external models on your content.
Because doing it properly takes real engineering time: mapping data, integrations, security constraints and failure modes. The fee is credited toward the build, so if you proceed it costs you nothing extra, and if you do not, you still own the specification.
Regularly. Some clients want a system delivered and handed over; others want us alongside their own engineers. If the latter is a long-term arrangement, AI Transformation is usually the better fit.
It depends on scope, but these are the ranges we quote from projects we scope every week: a RAG support chatbot runs $4,000 to $12,500, a tool-using AI agent $7,500 to $30,000, a voice agent $10,000 to $35,000, and a computer vision system $12,500 to $50,000 and up. A one to two week paid discovery phase is what turns a range into a fixed-price quote. We break the variables down in AI development cost in 2026.
Tell us what is slow, expensive or error-prone. We will tell you whether it is worth building, roughly what it takes, and what it would cost.