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Lispa
A coding-agent product built by our team.
View the work ↗AI & automation · UAE & international projects
AI development for businesses in Dubai & the UAE
Add AI search, document processing or generation to your product. We connect your data, test the results and build the production controls.
01Approved sources02Relevant information03Answers with references
Example: help your team find answers in approved company documents.
Platforms we can connect
Your scope
From an AI use case to a working product feature
Define what your AI feature should read, produce and help someone do next.
We connect data and permissions, evaluate realistic examples and measure quality, latency and cost before release.
Relevant products & team experience
Experience behind the work.
Our own products and prior team contributions. Each story explains our role.
What you can build
AI development use cases
Search across business knowledge
Answer questions from product information, policies and documents, with source references and access controls.
Documents into structured work
Extract fields, classify documents and prepare summaries, routing uncertain results for human review.
AI features inside your product
Add drafting, recommendations or conversations connected to the user’s context, permissions and next action.
Choose your approach
Which kind of AI development fits your use case?
| Approach | A good fit when… | What to consider |
|---|---|---|
| AI feature in an existing application | Document extraction, summaries, drafting or recommendations inside your existing product. | Existing architecture and permissions shape delivery; the AI feature needs dedicated quality checks. |
| Knowledge search and RAG | Answers from approved documents or product information, with source references. | Source quality, updates and permissions need an owner. Retrieval does not guarantee correct answers. |
| A complete AI product | An AI-first application with accounts, workflows, billing or administration. | Discovery covers both the business system and model behaviour. |
Budget & planning
What determines AI development cost?
Scope depends on the feature, data and application around it. Implementation is priced separately from ongoing model, hosting and data-processing charges.
- Source formats, document volume, updates and user permissions.
- Evaluation examples, acceptable errors, response time and review requirements.
- Existing integration or new interfaces, accounts, administration, analytics and deployment.
Delivery
From setup to handover.
Test the actual task
Evaluate representative examples against agreed results to establish where AI is useful.
Build the surrounding system
Connect data, retrieval and application logic, with validation and fallbacks when the model cannot help.
Measure it in operation
Track quality, latency and cost; version prompts and evaluations to compare future changes.
AI development FAQs
Do we need to train our own model?
Usually not. Existing models, retrieval and application logic may cover the task. Fine-tuning or custom training needs a clear benefit and suitable data.
Can you keep different customers' data separate?
We build and test access boundaries. Hosting, provider terms, retention and data-handling requirements are agreed for your environment.
How will we know whether the feature works?
We test representative examples against agreed accuracy, task completion, response time and cost criteria. Model output cannot be guaranteed error-free.
Explore further
Related services
Let's work out the next step
Let’s scope your next project.
Tell us what you want to build or improve.
Tell us about your project ↗Prefer email? contact@ayastudiollc.com · Meet Aya Studio