Agent design and runtime architecture
Build intelligent agents using AgentCore Runtime with Starter Toolkit, LangGraph, and Strands for secure, context-aware execution.
Build AWS-native multi-agent systems with Amazon Bedrock AgentCore for secure enterprise automation.
Talk to an ExpertAWS AgentCore development for intelligent, production-ready AI agents
Leverage Amazon Bedrock AgentCore to build, orchestrate, and optimize enterprise AI agents that automate complex workflows and improve operational ROI.
- AWS-first architecture for secure agent execution
- AgentCore runtime, gateway, and observability integration
- Continuous optimization with real-time telemetry
Trusted by global innovators
Building AI Systems with AWS AgentCore
We architect, deploy, and optimize AWS-native agentic systems with Amazon Bedrock AgentCore to automate enterprise workflows at scale.
Deployment and integration
Package logic, memory, and tools with the AgentCore CLI, then integrate agents into web, mobile, and backend systems via AgentCore Gateway.
Observability and optimization
Track sessions, traces, and latency with Amazon CloudWatch to continuously improve reliability, accuracy, and response quality.
Built-In Capabilities of AWS AgentCore
AWS Bedrock AgentCore enables secure, extensible AI systems with robust runtime controls and production observability.
Dynamic reasoning
Coordinate multi-step tasks and data sources using Strands-based agent workflows.
Optimized performance
Run agents on a stable runtime designed for low-latency and consistent execution quality.
Secure gateway
Connect agents to enterprise APIs and cloud resources through a protected access layer.
Built-in code interpreter
Execute Python logic for analytics, transformations, and tool-based task completion.
Continuous learning loops
Use telemetry and trace insights to improve prompts, tool usage, and outcomes over time.
Multi-agent orchestration
Coordinate specialized agents that share context, delegate work, and achieve composite goals.
AI Agents Use Cases Across Industries
See where AWS-powered AI agents create measurable value across operations, customer experience, and decision intelligence.
Healthcare
- Autonomous medical coding and billing
- Personalized treatment recommendations
- Clinical workflow automation
- Medical data triage and routing
FinTech
- Automated fraud detection and response
- Personalized financial advisory
- Loan underwriting optimization
- Regulatory compliance checks automation
Education
- AI tutors for personalized learning
- Assignment grading automation
- Real-time engagement tracking
- Curriculum planning support
E-commerce
- Conversational AI for product discovery
- Inventory and demand forecasting
- Automated pricing strategy
- Post-purchase experience management
Travel & Hospitality
- AI agents for itinerary planning
- Dynamic pricing and yield optimization
- Guest service automation
- Operational task management
Building AI Agents with AWS Bedrock AgentCore
Our structured delivery process de-risks implementation and accelerates your path from use case discovery to production outcomes.
Discovery & planning
Define automation goals, agent roles, and target workflows where autonomous execution provides the highest ROI.
Book a consultationKey outcomes:
Agent role definition
Agent integration map
Core feasibility metrics
AI delivery roadmap
Launch secure AWS-native AI agents with AgentCore and Bedrock to automate workflows, reduce cycle time, and improve operational ROI.
Turn your AWS AI vision into measurable impact
Start a projectWe Are Technology-Agnostic
With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.
Wireframe & Ideation
User Experience
Real-Time Projects
Traditional Development vs. AI-Assisted Engineering
By adopting AI-assisted development, you can significantly reduce team size and development costs while maintaining the same speed, quality, and reliability of delivery.
Traditional development team
FTE
Business AnalystSolution ArchitectUI/UX DesignerProject ManagerBack-end EngineerFront-end EngineerQuality Assurance
- Manual coding and rule-based logic for each feature
- Full-time development team including all key roles
- Predefined workflows and human decision-making
AI-assisted engineering team
FTE
Solution ArchitectBack-end EngineerFront-end EngineerBusiness Analyst
Part time
UI/UX DesignerProject ManagerQuality Assurance
AI Agents
PlanningDesignCodeCI/CDTesting
- Orchestrating AI agents to automate coding and optimization
- Lean team using AI agents to expand development capacity
- Faster delivery with adaptive, data-driven improvement
AI Tools We Use for Software Engineering
We leverage advanced AI-powered tools and automation frameworks to accelerate the entire software development lifecycle.
Coding copilots
AI tools that assist engineers with code generation, refactoring, and documentation through contextual suggestions and inline reasoning.
AI agent frameworks
Multi-agent frameworks that enable coding assistants and context-aware workflow orchestration across CI/CD pipelines.
Data analysis and big data processing
Tools and systems for processing, analyzing, and transforming large unstructured datasets.
Infrastructure and orchestration platforms
Cloud and containerized environments that host, secure, and monitor Artificial Intelligence-assisted workflows.
Voices of Success
We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.
"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."
Aaron Phelan
Founder, Benchmark
"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."
Kim Smith
Founder, My Lauren
"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."
John Pasmore
Founder, Latimer