More accurate answers
The assistant relies on your real documents and data, not only the model’s generic knowledge.
AI
AI solution development for business
We create AI tools tailored to real processes: internal assistants, chatbots, recommendation systems, document analysis, content generation, task automation and RAG solutions connected to your company data.
We integrate AI into real products, processes and platforms
AI can save time, improve customer support and unlock new features — but only when it is properly connected to company data, tools and processes.
At Digitup we design and implement complete solutions: backend, frontend, database, prompts, context, business rules, integrations and control panels. The goal is useful AI inside the product or daily operations — not an isolated experiment.
Use cases
What we can build with AI
Internal assistants for teams
Tools that help employees query information, resolve questions, analyze documents, generate answers or automate repetitive tasks.
Learn moreCustomer chatbots
Assistants that answer questions, recommend products, check availability, handle requests and escalate conversations to human agents.
Learn moreRAG over your own documents and data
Systems that let people query internal information, PDFs, databases, websites or corporate docs in natural language.
Learn moreContent generation and improvement
Tools to create, rewrite, translate, summarize, classify or adapt content across languages, formats and channels.
Learn moreProcess automation
Flows that combine AI, APIs and business rules to reduce manual work in support, sales, admin, operations or marketing.
Learn moreConversation and document analysis
Message classification, data extraction, intent detection, summaries and automatic prioritization of requests.
Learn moreRAG: AI connected to your company information
We build RAG systems so an assistant can answer using real business information: documents, databases, FAQs, contracts, internal pages, products, bookings, policies or any structured or unstructured source.
Less made-up information
Cuts hallucinations by grounding each answer in retrievable company sources.
Query your own data
Ask in natural language about PDFs, FAQs, databases or internal pages.
Update content without retraining models
Update documents or sources and the system uses them without retraining the LLM.
Integration with internal panels
Fits into the tools and workflows your teams already use every day.
Permission and source control
You decide who sees what and can audit where each answer comes from.
We work with different models for each case
Not every project needs the same model. We choose by quality, speed, cost, privacy and task type.
The key is not using “the most famous AI”, but choosing the right architecture so the solution is useful, stable and sustainable.
- OpenAI
- Gemini
- Anthropic
- DeepSeek
- Perplexity
Our process for AI projects
We analyze the use case
We identify which part of the process AI can improve and which data or tools must be connected.
We design the architecture
We define model, backend, database, prompts, memory, RAG, rules and conversation flows.
We create a first version
We develop a functional prototype to validate answers, cost and real usefulness.
We integrate with your systems
We connect AI to WhatsApp, web, CRM, PMS, ERP, Google Sheets, Stripe, databases or external APIs.
We launch and optimize
We monitor usage, quality, cost, errors and improvements needed to evolve the system.
OpenAI, Gemini, AnthropicRAG and documentsAgents and assistantsAI built into productsFrom idea to production
FAQ
Frequently asked questions
What is an AI solution for business?
It is a tool connected to your data, processes and systems (CRM, documents, WhatsApp, databases, etc.) that uses language models to automate tasks, answer questions or generate useful day-to-day content.
What is RAG and when does it make sense?
RAG (Retrieval-Augmented Generation) lets an assistant answer using your company’s real information — documents, FAQs, databases or internal pages — instead of guessing. It makes sense when you need accuracy and source control.
Which AI models do you work with?
We integrate OpenAI, Gemini, Anthropic, DeepSeek, Perplexity or others based on quality, cost, speed, privacy and task type. There is no single model for every project.
How long does an AI project take?
It depends. A useful first version can often be validated in weeks if the scope is clear; complex integrations with multiple systems and internal panels may need more phases.
Can AI connect to our current systems?
Yes. We can connect the solution to WhatsApp, web, CRM, ERP, Google Sheets, Stripe, databases or custom APIs so it becomes part of real business workflows.
Want to apply AI in your company?
We can help identify the best use case, design the solution and build a production-ready tool.
Talk about my AI project