AI development services
AI development company
We design, build and run AI that does real work inside your business: generative AI products, AI agents, assistants that know your data, and machine learning models, all engineered for production rather than demos.
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Llama & open models
- Python
- TypeScript
Overview
AI Development, explained.
AI development is the work of turning a business problem into a reliable AI system: choosing the right model, connecting it to your data and tools, testing how it behaves, and running it safely at scale. Most AI projects that stall do so at that last step. A prototype that impresses in a meeting still has to handle messy inputs, real users, cost limits and privacy rules.
theBlume builds AI the same way we build any software: with clear requirements, measurable quality, version control, monitoring and support after launch. We are model-agnostic, so we pick GPT, Claude, Gemini, open models such as Llama, or a classic machine learning model depending on accuracy, latency, cost and where your data is allowed to go.
Because we are a full-stack team, the AI never lives on its own. We also build the app, the dashboard, the API and the integrations around it, so the result is a product your team and customers can actually use.
What we deliver
AI Development services we deliver.
Generative AI applications
Copilots, writing and summarisation tools, content generation and document drafting built on large language models.
AI agents & automation
Agents that plan multi-step tasks, call your APIs and tools, and complete work with human approval where it matters.
AI chatbots & assistants
Customer support, sales and internal help-desk assistants that answer from your own knowledge base.
AI integration
AI features added to the CRM, ERP, LMS, website or mobile app you already run, through secure APIs.
Machine learning & computer vision
Forecasting, risk scoring, recommendations, OCR and image recognition trained on your data.
AI strategy & MLOps
Opportunity mapping, model evaluation, fine-tuning, deployment, monitoring and cost control for AI in production.
Use cases
Where it creates real value.
FinTech
Document extraction for onboarding, transaction categorisation, risk flags for review queues and assistants that explain account activity.
Education
AI tutors, quiz and question generation, personalised learning paths and analytics that highlight learners who need help.
Healthcare
Intake summaries, appointment triage assistants and document processing that keeps sensitive data under strict access control.
Retail & e-commerce
Product description generation, search that understands intent, demand forecasting and support assistants for order questions.
How we deliver
A clear path from idea to launch.
Discovery & feasibility
We map the task, the data available and what “good” means, then test feasibility on real examples before committing to a build.
Prototype with evaluation
A working prototype plus an evaluation set, so accuracy and failure cases are measured instead of guessed.
Production build
Integrations, user interface, guardrails, logging, access control and cost limits, built and tested like any production software.
Launch, monitor, improve
We watch quality, latency and spend after launch, update prompts and models as they improve, and support your team.
What you receive
- Feasibility report with the recommended approach and model
- Working prototype plus an evaluation set
- Production AI system with integrations and admin controls
- Monitoring for quality, latency and cost
- Source code, prompts and documentation that you own
Technology
Tools we build with.
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Llama & open models
- Python
- TypeScript
- Vector databases
- Azure AI
- Google Vertex AI
- AWS
AI we ship in our own products
Our expense-splitting app Fairly reads receipts on the phone using on-device text recognition, then pre-fills a line-item split, with no cloud vision API and no image upload. It is the same privacy-first approach we bring to client AI projects.
See our productsAI Development FAQ
Common questions.
Answers to what clients ask most about our ai development services.
An AI development company designs, builds and maintains software that uses artificial intelligence, such as generative AI apps, AI agents, chatbots and machine learning models, and connects it to a business’s data, systems and users so it works reliably in production.
We compare candidate models on your real examples, measuring accuracy, speed, cost per request and data-handling requirements. Often the best answer combines a large language model with retrieval, rules or a smaller specialised model.
Yes. Most engagements start with a focused proof of concept on one workflow. If it meets the quality bar we agreed, we extend it into a production system; if not, you learn that cheaply and early.
You do. The code, prompts, evaluation sets and any fine-tuned model weights we create for your project are delivered to you and can run in your own cloud account.
Yes. Models, prices and user behaviour change, so we offer monitoring, evaluation re-runs, prompt and model updates, and ongoing support.
Let’s talk
Let’s make your idea bloom.
Tell us what you’re building. We’ll get back to you with clear next steps.