Natural Language Processing for SQL: Enterprise Data Intelligence
Transform how your organisation interacts with data. Natural Language Processing for SQL bridges the gap between complex data structures and business users, enabling anyone to extract actionable insights with conversational queries.
Interactive Demo
Ask questions in plain English and watch Natural Language Processing for SQL transform them into optimized SQL
Try asking:
Revolutionise Data Access
Natural Language Processing for SQL empowers everyone in your organisation to become data-driven, regardless of technical background.
Natural Language Processing
Our advanced NLP engine understands complex queries and contextual nuances, allowing users to ask questions in plain English. The system learns from interactions to continuously improve accuracy.
Democratise Data Access
Enable all team members to query complex data without SQL knowledge
Reduce Query Costs
Optimised queries reduce AWS Athena processing costs by up to 40%
Accelerate Insights
Get answers in seconds instead of waiting for data team availability
Enterprise-Ready
Seamless integration with existing AWS infrastructure and security protocols
How Natural Language Processing for SQL Works
Natural Language Understanding
Our advanced NLP engine parses user questions, identifies entities, relationships, and query intent using a fine-tuned large language model with domain-specific training.
Schema Mapping & Context Awareness
The system maps natural language terms to your specific data schema, understanding business terminology, table relationships, and maintains context across multiple queries.
Optimised SQL Generation
Generates SQL optimised specifically for AWS Athena's performance characteristics, minimising scan size and execution time while ensuring accurate results.
Visualisation & Insight Extraction
Automatically selects the most appropriate visualisation for query results and highlights key insights, trends, and anomalies in the data.
GenAI Integrations
Unlock the full potential of Generative AI (GenAI) by integrating it directly into your business systems, data platforms, and workflows. As an AWS Partner, we specialise in delivering secure, low-latency GenAI integrations using services and LLMs hosted in the af-south-1 (Cape Town) region.
From intelligent automation to enterprise search and decision support, deploy regionally-compliant, production-ready GenAI solutions backed by your data.
Our GenAI Integration Services
Our integrations are designed for scale, compliance, and business impact.
Secure Data Integration
Automated AI Workflows
Enterprise Search & Summarisation
Customized API Integration
Compliance & Governance
Technical Details
🔹 Data Sources for GenAI
We securely connect LLMs to internal data sources using RAG techniques, vector search, and embeddings.
- Amazon S3 (data lakes)
- Amazon RDS & Aurora
- Amazon OpenSearch Service
- AWS Glue Data Catalog
- Amazon Redshift
- Event-driven data via EventBridge, Lambda, or Kinesis
We enforce robust governance with AWS Lake Formation, IAM, and KMS.
🔹 GenAI Tools on AWS
We architect our solutions using AWS-native GenAI services:
- Amazon Bedrock: Deploy foundation models without overhead.
- Amazon SageMaker JumpStart: Fine-tune and host custom LLMs.
- Amazon Kendra: Enable enterprise search with semantic relevance.
- And tools like LangChain for custom RAG pipelines.
All deployments adhere to AWS Well-Architected and Security Hub best practices.
🔹 LLMs Deployed in af-south-1 (Cape Town)
We prioritize regional hosting to meet data residency, latency, and compliance needs.
- Amazon Bedrock in af-south-1
- Custom models via SageMaker or ECS
- Open-source LLMs like LLaMA, Mistral, or Falcon
Local inference reduces latency, boosts security, and meets POPIA requirements.
Why Choose Us?
- Deep AWS ecosystem knowledge.
- Focus on security, compliance & scale
- Custom UI/API development for GenAI endpoints
- Transparent, auditable architectures
Use Cases for GenAI Integrations
- Internal knowledge bots powered by secure documents
- Smart customer support assistants
- Automated report generation
- Personalised product recommendations
Start Your GenAI Journey
Whether you're exploring your first use case or ready to scale, we’ll help you build secure, scalable GenAI solutions—powered by AWS, deployed in af-south-1.
FAQs
What is GenAI integration on AWS?
It means embedding large language models (LLMs) into your business systems to enable intelligent search, summarisation, and automation using your private data—securely and at scale.
Are LLMs available in South Africa (af-south-1)?
Yes. AWS offers Amazon Bedrock in the af-south-1 region, running top-tier models with low latency and data residency compliance.
Can I integrate my existing data lake with GenAI?
Absolutely. We connect Amazon S3-based data lakes to LLMs using RAG patterns, embedding models, and secure vector search.
Schedule a FREE Consultation
Our Gen AI Call Center
Our AI-powered call centre dashboard goes beyond simply managing customer enquiries—it provides real-time insights into every conversation, giving businesses a deeper understanding of their customer interactions. It not only captures what is being said but also uncovers additional context that can shape the direction of the call.
With automated next-step prompts and intelligent information retrieval, agents receive instant recommendations on how to steer the conversation effectively. Whether it’s identifying opportunities, addressing concerns, or providing relevant solutions, the dashboard ensures that every call is handled with precision and efficiency.
KAPTUR: The Statement of Work Engine
Kaptur SOW Engine is an AI-powered tool developed by CloudZA. It revolutionizes project planning by automating repetitive tasks, generating personalized statements of work, and integrating seamlessly with existing systems. By providing valuable insights, reducing errors, and improving efficiency, Kaptur SOW Engine helps businesses save time, reduce costs, and enhance project outcomes. Its advanced features and user-friendly interface make it a valuable asset for organisations of all sizes. Whether you're a small startup or a large enterprise, Kaptur SOW Engine can help you streamline your project planning process and achieve your goals more efficiently.
Benefits and Implementation
The Kaptur SOW Engine has powerful capabilities due to the context it is provided with.
It integrates with third-party applications, such as Google Drive, for project-related documents.
Users can easily log into their Google account on the SOW Engine dashboard.
Select which documents to integrate in your statement of work generation with a simple click.
Each integration saves countless hours and increases the quality of generated statements of work.
It has use cases for both enterprise-level organizations and startups.
Suitable for established project planning processes and implementing customer proposal systems.
The SOW Engine showcases how AI advances can be directly applied to business cases globally.
It brings the process of automation to the forefront of your company with immense efficacy.
Demonstrates the practical application of technological advances in AI for businesses worldwide.