Custom AI Solutions
Bespoke AI built around your private knowledge — RAG, document intelligence, extraction, and guardrails that generic tools can't match.
// Overview
When off-the-shelf AI isn't enough, we design systems around your documents, workflows, and data. Retrieval-augmented generation, classification, extraction, evaluation, guardrails, and cost controls.
// How This Helps You
- Pull insights from internal docs and unstructured data
- Get accuracy that generic AI can't match
- Build defensible IP and competitive advantages
- Control costs through caching and smart routing
// What's inside
Everything that powers this service
RAG pipeline
Grounds answers in your own documents so the AI stops hallucinating and starts citing.
Document intelligence
OCR and layout parsing turn PDFs, contracts, and forms into structured data.
Classification & extraction
Auto-tags documents and pulls named fields — invoice totals, clauses, IDs — cleanly.
Embeddings & vector search
Converts knowledge into embeddings for fast, semantic retrieval.
Guardrails & safety
Enforces business rules and blocks prompt injection and PII leakage.
Data pipelines
Automated ingestion and sync keep the knowledge base current as your data changes.
Domain adaptation
Tunes models — including Arabic-native — to your terminology and tone.
Evaluation & observability
Tracks retrieval accuracy and answer faithfulness with eval harnesses and logging.
For your company
- Unlock insight trapped in internal docs and unstructured data
- Get accuracy generic AI can't reach, grounded in your own sources
- Cut processing cost 30–40% and manual handling by up to 75%
- Build defensible IP instead of renting someone else's model
- Deploy privately and in-region for finance, healthcare, legal, and government
For your customers
- Faster outcomes — claims, approvals, and cases resolved in minutes
- Answers grounded in real policy, not generic AI guesses
- Sensitive data kept protected and on-policy
- Staff with instant context, so questions aren't repeated
// By the numbers
Global RAG market size ($B)
Source: MarketsandMarkets — RAG Market (38.4% CAGR)
// Compared
Generic AI tool vs. a custom RAG system
| Generic AI tool | Raanzlr custom AI | |
|---|---|---|
| Knowledge | Public data only | Your private documents |
| Accuracy | Plausible but unverified | Grounded and cited |
| Safety | Open-ended outputs | Guardrails, PII protection |
| Data location | Public API, off-shore | Private, in-region deploy |
| Ownership | Rented capability | Defensible, owned IP |
// How we deliver
From kickoff to launch
Discovery & knowledge audit
Map data sources, document types, business rules, and compliance constraints.
Pipeline & ingestion
Connect sources, parse and OCR documents, then chunk and embed into the vector store.
RAG & guardrails
Build retrieval, orchestration, and safety/PII guardrails to your business rules.
Evaluate & tune
Measure retrieval accuracy and faithfulness; tune chunking and prompts.
Deploy & maintain
Launch with observability, monitoring, and scheduled re-indexing.
// Tools & stack
// Start Your Project
Ready to build Custom AI Solutions?
Tell us about your project and a senior engineer will be in touch within one business day.
// Other Services
All services