We study your data and processes to pick where AI will pay off.
We choose or train a model and test it on your real cases.
The AI runs inside the applications your teams already use.
We monitor results in production and improve the system over time.
AI Development Services
AI that solves a defined business problem.
We help you decide where AI is worth using, then build it, put it into daily use and keep it working. One team covers the whole path, from first idea to running system.
What you get
01A clear starting pointA short list of AI uses ranked by value, cost and risk for your business.
02Working systemsSoftware your staff and customers use every day, not a demo or a slide deck.
03Ongoing careMonitoring, updates and retraining so results stay reliable after launch.
How we deliver
Four stages, each ending with something you can see and review before the next one starts.
01
Assess
We study your goals, processes and data, and agree which problem is worth solving first.
02
Prove
A small first build on real data shows whether the approach works before larger spending.
03
Build
We turn the first build into a secure system connected to the software you already use.
04
Run
We monitor accuracy and cost, handle updates and improve the system as your needs change.
What we buildOur AI services capabilities
AI strategy and use cases
We review your processes and data, then pick the AI projects most likely to pay back.
Discuss thisAI agents
Software that carries out multi-step tasks across your tools, with staff approving key steps.
Discuss thisKnowledge assistants
Assistants that answer questions from your own documents and records, with sources shown.
Discuss thisLanguage processing
Systems that read, sort and extract details from emails, forms, contracts and reports.
Discuss thisComputer vision
Cameras and software that inspect products, count items or spot safety issues.
Discuss thisGenerative AI
Tools that draft documents, replies and summaries in your style, for staff to review.
Discuss thisModel fine-tuning
Adjusting an existing AI model on your examples so it handles your work more accurately.
Discuss thisTesting and operations
Accuracy testing before launch, then monitoring and updates once the system is live.
Discuss thisYes, Inc.
Sales teams spent hours researching and qualifying each inbound lead before anyone could call it.
Selected work · Yes, Inc.Animated illustration
AI business platform: lead matchmaking and qualification
What we built
- The core back end of a SaaS product
- Web data collectors and AI agents that enrich and score every inbound lead
- Only qualified leads are passed to the sales team
What it changed
Designed to cut manual research by sales development staff by an estimated 70 to 80%, so they spend their time on qualified conversations.
Technology: Python, LangChain agents, custom web data collectors, AWS serverless
Delivered by Hoki and its engineering partners. Product and client names belong to their owners.
Discuss a similar projectThe technology we build with
We pick tools around your existing systems, your team and how the product will be run.
Models and AI services
OpenAIAnthropic ClaudeGoogle GeminiLlamaMistralHugging Face
Development
PythonPyTorchLangChainLlamaIndexFastAPIscikit-learn
Data and operations
AWSMicrosoft AzureGoogle CloudPostgreSQLMLflowDockerKubernetes
Where this applies
The same engineering, shaped by the rules and realities of each sector.
Manufacturing
Visual quality checks, maintenance forecasts and assistants for plant manuals.
Financial services
Document review, customer query handling and checks on unusual transactions.
Healthcare
Summarising records, routing referrals and answering staff questions on procedures.
Retail and e-commerce
Product descriptions, customer chat, demand forecasts and search that understands intent.
Logistics and supply chain
Reading shipping documents, predicting delays and handling booking queries.
Public sector and education
Answering public enquiries, processing applications and supporting teaching staff.
Frequently asked questions
We are not sure where AI fits. Can you help?
Yes. Many clients start there. We look at your processes, data and goals, then give you a ranked list of options with honest notes on which ones are not worth doing yet.
How is the cost agreed?
It depends on scope, data readiness and how the system will be used. We agree the cost after a discovery phase, once we both understand the work. Starting with one small, well-defined piece of work keeps the first commitment modest.
Is our data safe?
We agree data handling rules before any work starts. Systems can run in your own cloud account or on your premises, and we can use models that do not keep or learn from your data. Access is limited to the people who need it.
Who owns what you build?
Ownership of code and other work is agreed in the contract. Typically the client owns what is built for them, including any models trained on their data.
Another question? Email hello@hoki.co
Find out where AI can help your business
Tell us about your operations and the problems you want solved. We will suggest where to start.
Start a project
Tell us what you want to build.
Share a few details about your AI services project. We will reply with questions and a suggested next step.
- What problem you want solved
- What you already have in place
- Any timing or budget you are working to
Start a project
Tell us what you want to build
A few details help us bring the right people to the first call.
Thank you.
Your enquiry is with our team. Here is what happens next.
1We read your enquiry and bring in the people best placed to help.
2We reply by email to arrange a call at a time that suits you.
3On the call, we agree a clear next step, with scope and cost.