AI & ML
Development Services
Custom AI/ML on Amazon Bedrock and SageMaker. Agentic workflows, RAG systems, fine-tuning, and production ML pipelines.
Discuss Your AI Project– Core Capabilities
What We Build
Agentic AI Workflows
Build autonomous AI agents that reason, plan, and execute multi-step tasks. Bedrock Agents with tool use, memory, and guardrails for enterprise-safe automation.
RAG Systems
Retrieval-Augmented Generation pipelines using Bedrock Knowledge Bases, OpenSearch vector stores, and custom embedding strategies for grounded AI responses.
Model Fine-Tuning
Custom model training on your proprietary data using Bedrock fine-tuning or SageMaker. Industry-specific accuracy improvements that off-the-shelf models can't match.
MLOps & Production Pipelines
End-to-end ML lifecycle management with SageMaker Pipelines, model monitoring, A/B testing, and automated retraining for production-grade deployments.
AWS AI/ML Technology Stack
Deep expertise across the full AWS AI/ML ecosystem
Amazon Bedrock
Foundation Models
Claude, Titan, Llama, Mistral, Cohere
Knowledge Bases
Vector search, document ingestion, RAG pipelines
Agents
Tool use, action groups, guardrails
Fine-Tuning
Custom model training on proprietary data
Prompt Flows
Visual prompt chaining and orchestration
Amazon SageMaker
Training & Tuning
Distributed training, hyperparameter optimization
Model Deployment
Real-time endpoints, batch transform, serverless inference
Pipelines
ML CI/CD, model registry, automated retraining
Model Monitor
Data drift detection, model quality monitoring
Feature Store
Centralized feature management and sharing
Textract
Document AI
Comprehend
NLP
Translate
Multi-language
OpenSearch
Vector Search
Use Cases We've Delivered
Real-world AI/ML implementations for enterprise clients
Document Intelligence
AI-powered extraction, classification, and processing of complex documents — loans, invoices, medical records, contracts.
Conversational AI
Enterprise chatbots and virtual assistants grounded in your knowledge base with RAG, guardrails, and human escalation.
Predictive Analytics
ML models for demand forecasting, churn prediction, anomaly detection, and recommendation engines on SageMaker.
How We Engage
Flexible models to fit your needs
AI Discovery & Strategy
2-week assessment of your operations to identify high-ROI AI opportunities with a clear implementation roadmap.
2-3 weeks
Proof of Concept
Build a working prototype to validate the approach, demonstrate value, and de-risk your investment.
3-4 weeks
Production Implementation
Full production deployment with CI/CD, monitoring, security, compliance, and ongoing optimization support.
8-16 weeks
– Get started
Ready to build AI solutions on AWS?
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
Phone
+1 (858) 412-0778Location
San Diego, CA, USA