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Amazon Bedrock

Generative AI
Consulting Services

Transform your business with enterprise-grade GenAI solutions. From strategy to deployment, we make AI work for you.

Discuss Your AI Project

– Our GenAI Services

End-to-End GenAI Solutions

LLM Implementation

Deploy large language models in your enterprise. We handle integration with your existing systems, security, and compliance.

Custom Model Fine-Tuning

Train AI models on your proprietary data. Get industry-specific accuracy that off-the-shelf models can't deliver.

RAG Solutions

Retrieval-Augmented Generation systems that ground AI responses in your company's knowledge base.

AI Strategy Consulting

Not sure where to start? We assess your operations and identify high-ROI GenAI opportunities.

Use Cases We've Delivered

Document Processing Automation

Reduced document processing time by 70% for enterprise clients using GenAI-powered extraction and classification.

Customer Service AI

Deployed conversational AI that handles 60% of support queries automatically while maintaining brand voice.

Knowledge Base Q&A

Built RAG systems that let employees query thousands of internal documents in natural language.

Frequently Asked Questions

What is Generative AI and how can it help my business?

Generative AI uses large language models (LLMs) to create content, analyze data, and automate complex tasks. For businesses, it can automate document processing, power intelligent customer service chatbots, enable natural language search across internal knowledge bases, generate reports and summaries, and accelerate software development. Our clients typically see 60-80% efficiency gains in targeted workflows.

What is RAG (Retrieval-Augmented Generation)?

RAG is a technique that combines a large language model with your company's proprietary data. Instead of relying solely on the model's training data, RAG retrieves relevant documents from your knowledge base and uses them to generate accurate, grounded responses. This means the AI answers are specific to your business, reducing hallucinations and ensuring responses are based on your actual data, policies, and documentation.

How much does a Generative AI implementation cost?

GenAI implementation costs depend on scope and complexity. A focused proof-of-concept typically costs $30,000-$60,000 over 3-4 weeks. Production implementations range from $80,000-$200,000+ depending on integration requirements, data volume, and security needs. Amazon Bedrock's pay-per-use pricing means ongoing costs are proportional to actual usage, typically $500-$5,000/month for most enterprise workloads.

Is my data secure when using Generative AI on AWS?

Yes, when using Amazon Bedrock on AWS, your data stays within your AWS account and is encrypted at rest and in transit. Your data is never used to train the underlying foundation models. We implement defense-in-depth security including VPC isolation, IAM least-privilege access, AWS KMS encryption, CloudTrail audit logging, and compliance with SOC 2, HIPAA, and other regulatory frameworks as needed.

What foundation models do you work with?

Through Amazon Bedrock, we work with leading foundation models including Anthropic Claude, Amazon Titan, Meta Llama, Mistral, and Cohere. We help clients select the best model for their specific use case based on accuracy, latency, cost, and compliance requirements. We also offer custom model fine-tuning on your proprietary data for industry-specific accuracy improvements.

How long does it take to deploy a Generative AI solution?

A proof-of-concept can be delivered in 2-4 weeks. A production-ready GenAI solution typically takes 8-16 weeks depending on complexity, integration requirements, and compliance needs. We follow an agile approach with weekly demos so you see progress throughout the engagement. Many clients start with a focused use case and expand to additional workflows after seeing initial results.

– Get started

Ready to transform your cloud strategy?

See how Horus Technology can reduce your document processing time by up to 85% with full compliance for your industry, on your AWS infrastructure.

What you'll get

No obligation, 45-minute technical demo

Custom ROI model for your use case

AWS-native deployment from week one

HIPAA & SOC 2 compliance included

Location

San Diego, CA, USA

How can we help you?

Your data is secure and never shared.