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Transform scattered documentation, proprietary data, and internal business logic into private generative AI engines, custom-adapted models, and verified knowledge retrieval pipelines.
Zero Public Data Leakage: Enterprise deployments with zero-data-retention guarantees.
Traceable & Source-Grounded: Every answer cites your verified internal sources, sharply reducing hallucinations.
Domain Model Adaptation: Models customized to your specific industry terminology and reasoning workflows.
Connect your internal documents, SOPs, and databases to secure AI search engines for instant, verified answers with source citations.
Adapt open-source and proprietary models specifically to your company vocabulary, internal policies, and unique task logic.
Generative systems that read long reports, summarize documentation, and generate structured business proposals and drafts automatically.
Generation of secure, privacy-compliant synthetic datasets to train, benchmark, and evaluate internal machine learning models.
Public AI tools cannot access your internal systems, while unstructured business data remains trapped across PDFs, legacy databases, and disconnected tools.
General models produce hallucinations on niche company data, while employees waste hours manually searching through scattered documentation to answer operational questions.
We build end-to-end generative AI systems—from hybrid RAG knowledge bases and automated document intelligence to custom fine-tuned models—that keep your data private and operational workflows fast.
Custom Knowledge Retrieval (RAG)
Connect company SOPs, technical manuals, Google Drive, Notion, and SQL databases to secure AI search engines that deliver instant answers with verified source citations.
AI Model Customization & Fine-Tuning
Adapt open-source and proprietary foundation models (LoRA / SFT) to your domain vocabulary, internal compliance rules, and specialized task logic.
Automated Document Intelligence
Vision-enabled extraction pipelines that convert complex multi-page PDFs, tables, invoices, and contracts into structured database records automatically.
Synthetic Data Generation & Benchmarking
Generate statistically representative, privacy-compliant synthetic datasets to train models, simulate edge cases, and run software evaluations without PII risks.
24/7
Always-On AI Operations
4
Phases: Audit, Build, Test, Monitor
12+
Years of Hands-On IT Engineering Experience
3
Offices: Dubai, Karachi & USA
An 8-week path from data audit to continuous monitoring.
An 8-week path from data audit to continuous monitoring.
We audit your internal documents, database schemas, and permission levels to design an optimal chunking, embedding, and model adaptation strategy.
We build vector ingestion pipelines, configure retrieval re-ranking, and benchmark initial accuracy on real-world internal test queries.
We integrate the knowledge layer with your preferred model, enforce role-based access control, and implement prompt-injection defenses.
We deploy the system inside your private cloud environment (AWS, GCP, or Azure) with automated latency tracking and vector re-indexing.
We audit your internal documents, database schemas, and permission levels to design an optimal chunking, embedding, and model adaptation strategy.
We build vector ingestion pipelines, configure retrieval re-ranking, and benchmark initial accuracy on real-world internal test queries.
We integrate the knowledge layer with your preferred model, enforce role-based access control, and implement prompt-injection defenses.
We deploy the system inside your private cloud environment (AWS, GCP, or Azure) with automated latency tracking and vector re-indexing.
Frequently Asked Questions
Got questions? We've answered the most common ones about working with RixDigi — from services to timelines to support.
No. We configure enterprise APIs with zero-data-retention agreements or deploy open-source models inside your own isolated virtual private cloud (VPC).
RAG gives the AI access to dynamic, searchable documents (policies, live databases) for factual retrieval, while Fine-Tuning adapts the model's internal weights for specific writing styles, specialized logic, or structured output formats.
Yes. We implement Role-Based Access Control (RBAC) so employees only receive answers generated from documents they have explicit authorization to view.
Ready to Deploy a Private AI Knowledge Engine?
Book a 30-minute discovery call to evaluate your document architecture and review a live technical demonstration.
Book Your Technical Discovery Session ›RAG is a method where a language model answers questions using your own documents and data, retrieved at the moment of the question, instead of relying only on what it learned in training. This produces answers grounded in your content, with citations back to the source, and lets you update knowledge without retraining a model.
Yes, when it is architected correctly. RixDigi builds generative AI systems with role-based access control, so users only retrieve documents they are already allowed to see, plus encryption, PII handling and audit logs. Deployments can run in your own cloud account so your data does not leave your environment.
Use RAG when the goal is accurate answers from changing company knowledge. Use fine-tuning when you need the model to follow a specific style, format, terminology or task behaviour consistently. Many production systems combine both, and we recommend the approach after a data audit and a small proof of concept.
We reduce hallucinations by grounding answers in retrieved sources, requiring citations, setting refusal rules when the answer is not in the data, and testing against evaluation sets built from real questions. Answers that fail confidence checks are routed to a human instead of being shown as fact.
Ready to Bring Enterprise-Grade AI into Your Operations?
Book a 30-minute discovery session with our engineering team to evaluate your workflows and identify your highest-impact AI opportunities.
RixDigi is an AI and workflow automation engineering agency building private, production-ready AI solutions for modern enterprises.
Important Links
Rixdigi Locations:
United Arab Emirates
Office 408, 4th Floor, Al-Wasal Building, Dubai.
+971 50 349 5669
Pakistan
Office 202, 2nd Floor, Building #85, Shaheed-e-Millat Road, Karachi
+92 300 5002659
United States
923 Elm St, Unit #9, Manchester, NH 03101
+1 603 614 5703