[00] Services
AI and data services, from first pilot to production
Pick the service that fits your problem, or combine several. Every engagement starts with a free consultation and, where it makes sense, a pilot on your own data.
Services index
Fifteen services. Five toolsets an AI system can call on your behalf.
Read it top to bottom: software reads your data, sees, predicts, reasons and writes, then acts in your systems. Eleven AI services and four data services. Search the index or filter by toolset.
- ai
- 11
- data
- 4
- toolsets
- 5
Data & BI
03 tools- Business IntelligenceData warehouses, pipelines and dashboards that bring your systems together, so leadership and every team work from one agreed set of numbers.
- Data Analytics & InsightsData strategy, analysis and predictive models that explain why your numbers move and what is likely to happen next, tested before you rely on them.
- Web Scraping & Data CollectionPublic web data such as prices, listings and market information, collected within site rules and rate limits and delivered clean, structured and ready to use.
Computer vision
02 tools- Computer VisionCustom computer vision models that detect, count, read and inspect what your cameras see, trained on your own images and run in the cloud or on edge devices.
- Data Annotation & LabellingImage, video, text and audio labelled to clear guidelines and checked in review, so your models learn from consistent, accurate training data.
Machine learning
03 tools- Machine Learning DevelopmentCustom machine learning models for forecasting, risk, recommendations and inspection, trained on your own data and evaluated before they reach production.
- AI & ML DevelopmentEnd-to-end AI and machine learning development, from a feasibility check and proof of concept to models running inside your ERP, CRM or apps.
- Recommendation EnginesPersonalised product and content recommendations built on your own behaviour data, with business rules your team controls and A/B tests that show what works.
Generative AI & LLMs
04 tools- Generative AI DevelopmentGenerative AI applications that draft, summarise, search and answer from your own content, built on the model that fits and tested before rollout.
- LLM DevelopmentWe select, adapt and deploy large language models for your tasks, from fine-tuned open-source models on your servers to integrations with hosted APIs.
- Model Training & Fine-TuningWe prepare your data and fine-tune or train AI models so they follow your terminology, formats and rules, with evaluation before and after every change.
- ChatGPT & OpenAI IntegrationOpenAI models built into your apps, SaaS products and internal tools, with retrieval over your data, tested prompts and running costs you can plan for.
Agents & chatbots
03 tools- AI Agent DevelopmentAI agents that read, decide and act across your systems, completing multi-step tasks with human approval where it matters and a log of every step.
- AI Chatbot DevelopmentCustomer-facing AI chatbots on your website, WhatsApp and app that answer from your content, complete simple tasks and hand difficult conversations to your team.
- Robotic Process AutomationSoftware bots that take over rule-based data entry, invoice processing, onboarding and reporting, built on the RPA platform you already license or the one that fits.
0 results
Nothing in the index matches “”. Describe the problem instead and we will tell you honestly whether AI fits.
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How we work
From first call to launch, and beyond
A clear five-step process, so you always know what happens next and what you will get.
Every project starts with a free, no-obligation consultation.
$ appsinai run --pilot-first
Step 1: Discover
We learn how the work gets done today, look at the data you have and pick the problems where AI can save the most time or money.
You get: use-case shortlist · data review · fixed quote
Step 2: Prove it
A proof of concept runs on your own data, measured against a baseline we agree up front, so you see real results before committing to a full build.
You get: working pilot · evaluation results · go / no-go
- gatego / no-go on the results before “Build & integrate”
Step 3: Build & integrate
We build the production system, connect it to your CRM, ERP, helpdesk or apps, and add guardrails, logging and human review where they matter.
You get: production system · integrations · tested release
Step 4: Launch & train
Your team learns the system on real cases, then we roll it out in stages and stay close through the first weeks.
You get: team training · staged rollout
Step 5: Monitor & improve
We track accuracy, cost and usage after launch, retrain or update models as your data changes and add new use cases as you grow.
You get: monitoring · retraining · support plan
↺ results feed the next improvement cycle$
Free consultation
Let's talk about your project
Tell us about your business and the work you want AI to take on. Whether it's an assistant, an agent, a model or a dashboard, we'll help you find the right place to start.