Building AI That Actually Works in Production
We design and implement AI solutions that go beyond prototypes — systems that scale, integrate with your existing infrastructure, and deliver measurable business value.
What We Build
Intelligent Agents
Autonomous systems that can reason, plan, and execute complex tasks. We've built production agents using AWS AgentCore and custom orchestration frameworks that handle real-world business processes.
RAG Pipelines
Retrieval-Augmented Generation systems that connect LLMs to your proprietary data. From document processing to semantic search, we build pipelines that provide accurate, contextual responses grounded in your knowledge base.
AWS Bedrock Integration
Deep expertise in AWS Bedrock for enterprise AI deployments. We help you leverage Claude, Titan, and other foundation models with proper security, cost management, and performance optimization.
Custom LLM Applications
Beyond chatbots — we build AI-powered tools that automate workflows, generate content, analyse data, and augment your team's capabilities.
Our Approach
Production-First Mindset Every solution is built with production requirements in mind: observability, error handling, cost controls, and graceful degradation.
AWS-Native Architecture Leverage the full AWS ecosystem — Lambda, Step Functions, EventBridge, and Bedrock — for scalable, maintainable AI infrastructure.
Measurable Outcomes We focus on business impact, not technology for technology's sake. Clear metrics, defined success criteria, and iterative improvement.
Technologies We Use
- Foundation Models: Claude (Anthropic), Titan (AWS), GPT-4, Llama
- AWS Services: Bedrock, SageMaker, Lambda, Step Functions, OpenSearch
- Vector Databases: Pinecone, OpenSearch, pgvector
- Frameworks: LangChain, LlamaIndex, custom orchestration
- Observability: CloudWatch, X-Ray, custom telemetry
Ready to Build?
Whether you're exploring AI for the first time or scaling an existing implementation, we can help you move from concept to production.
Get in touch to discuss your AI project.