Transform scattered documentation, proprietary data, and internal business logic into private generative AI engines, custom-adapted models, and verified knowledge retrieval pipelines.
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.
150%
Reduction in Manual Workload
60%
Faster Decision-Making
3x
Improved Workflow Efficiency
40%
Task Automation Rate
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
Is our company data used to train public AI models?
No. We configure enterprise APIs with zero-data-retention agreements or deploy open-source models inside your own isolated virtual private cloud (VPC).
What is the difference between RAG and Fine-Tuning?
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.
Can the system reflect user permissions from our existing tools?
Yes. We implement Role-Based Access Control (RBAC) so employees only receive answers generated from documents they have explicit authorization to view.
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.
Services
Important Links
Rixdigi Locations:
United Arab Emirates
Office 408, 4th Floor, Al-Wasal Building, Dubai.
+971 (050) 3495669
Pakistan
Office 202, 2nd FLoor, Building #85, Shaheed-e-Millat Road, Karachi
+92 (030) 05002659
United States
923 Elm St, Unit #9, Manchester, NH 03101
+1 (603) 6145703