Data & decision intelligence
Enterprise RAG knowledge systems
Ask your organisation's documents and policies in your language — and get an answer cited to the source.
What we build
Enterprise RAG knowledge systems
Internal knowledge assistant
Answers your staff from your policies, manuals and procedures.
Document & contract intelligence
Automated data extraction, contract review and summarisation.
Thousands of pages at once
Read very large files and extract what matters.
Internal copilots
An assistant that knows your systems and multiplies team productivity.
Why KALO
Answers with sources
Every answer points to the document it came from.
Your data stays yours
In-Kingdom hosting is available for projects that require it.
Arabic first
Reads Arabic documents and answers in Arabic, not as an afterthought.
How we work
Four clear stages.
Each one delivers value.
- 01
Assess
We understand the reality: systems, processes, data and team. The output is an opportunity map.
- 02
Design
Documented architecture, clear scope and a defined cost before we build.
- 03
Build
Delivery in short stages, each tested and handed over with team training.
- 04
Operate & evolve
Continuous monitoring, periodic performance reports and constant improvement.
FAQ
What does RAG mean?
Retrieval-augmented generation: the system searches your documents first, then builds the answer from them and cites the source.
Where are our documents stored?
On secure cloud infrastructure with restricted access, with a full in-Kingdom hosting option.
Does it understand Arabic documents?
Yes. Arabic is the starting point, not an afterthought.
Related services
- GPT, Claude & Gemini integrationWe connect large language models to your systems and data — securely, with scoped permissions and in your brand identity.
- AI business automationEntire processes that run on their own — governed, measured and auditable. Every event triggers an action; every action is recorded.
- AI customer-service agentsNot a chatbot. A digital employee that understands Arabic dialects, reads context and completes the request directly through your systems.
