Technology Stack & Architecture – Designed for Trust and Control

Large Language Models (LLMs)

copebit works with models like Claude, LLaMA, Amazon Nova, Cohere, and others via AWS Bedrock—chosen for your domain, use case, and licensing constraints.

Data stays yours:

• No logging of prompts or responses
• No training from your inputs
• Full execution inside your VPC using Bedrock’s private API acces

Knowledge Bases via RAG

We design RAG pipelines using:

• Embedded documents in your S3 buckets
• Vector stores you fully control
• Internal-only access with no 3rd-party model exposure

All retrieval logic remains within your account, ensuring privacy and context integrity.

Guardrails

Built-in safety controls for:

• Output moderation
• PII detection and redaction
• Domain-restricted answer formatting

Enhanced with custom interceptors and routing logic based on your compliance needs.

Agentic AI

copebit implements AI agents that:

• Decompose tasks
• Call internal APIs and services
• Use memory, tools, and fallback plans

Fully auditable and driven by enterprise use cases—not consumer chat logic.

Model Context Protocol (MCP)

Model Context Protocol helps in standardizing Agent AI with integration in external systems:

• Role- and identity-aware context
• Persistent memory scoped to interactions
• Strict boundaries on prompt construction and variation

This ensures consistent, high-quality AI behaviour across different environments.

Implementation Blueprint – From Strategy to Production

Every project starts with a clear business case and process analysis to identify real value potential. Together with our customers, we define the right use cases, assess process maturity and data quality, and select the best-fit AWS technologies: from LLM access via Amazon Bedrock, interactive assistants with Amazon Q, to secure data storage in S3 or DynamoDB. This forms the foundation to design scalable, secure, and enterprise-ready solutions.

Security Architecture
IAM-segmented roles, VPC endpoints for model calls, full encryption, and CloudTrail tracking.

Infrastructure as Code
Delivered via OpenTofu/Terraform, ensuring everything is declarative, versioned, and DevSecOps-ready.

PromptOps
Structured prompts with fallback chaining, routing, token limits, and testability—treated as code, integrated with Git workflows.

Monitoring & Observability
Every prompt and output traceable with CloudWatch, X-Ray, and optionally visualised in Grafana or QuickSight.

CI/CD Integration
All AI components fit into your existing GitLab/GitHub workflows, pipelines, and review processes—treated like core application infrastructure.

Use Cases – Practical. Private. Production-Ready

Cognitive Support Assistants
Internal AI assistants or chatbots that understand your processes and documentation. Designed to support operations, HR, finance, and engineering teams through natural language interactions.

Smart Document Understanding
Automatically and securely process, classify, and summarise unstructured documents such as contracts, compliance reports, or policies.

Enterprise Semantic Search
Enable secure, contextual search across your internal knowledge—stored in S3, SharePoint, Jira, or Confluence—using retrieval-augmented generation (RAG).

GenAI for Engineering & Operations
Provide developers with intelligent assistants for error resolution, pipeline debugging, and infrastructure insights. Powered by code-aware models and integrated with AWS Q Developer.

Customer-Facing Assistants
Deliver AI-powered experiences to external users that respond based on structured internal content. Deploy across email, chat, or web, fully controlled and secured within your AWS environment.

Demo Cases

Internal Knowledge Assistant
An AI assistant that understands your internal content and responds securely. Integrated with documentation, policies, and tool-specific instructions.

Document Information Extraction
Automate the extraction and routing of document information extraction tasks. Our AI solutions offer context-aware classification, urgency estimation, and provide extraction suggestions based on your specific business logic.

Client References – Trusted in Complex Environments

copebit excels in providing secure Generative AI solutions for clients in regulated industries and cloud-native environments. Our demonstrated success includes:

• Cubotoo: This innovative solution efficiently extracts valuable information from diverse document types. It then seamlessly integrates this data into production databases, ensuring accuracy and accessibility for critical business operations. Cubotoo significantly reduces manual data entry and enhances the speed and reliability of information management.
• Enterprise Translation: This service streamlines the process of retrieving information from extensive knowledgebases. By leveraging advanced natural language processing, it presents users with relevant information in a clear and easily understandable, structured format. This empowers employees to quickly access the knowledge they need, improving productivity and decision-making.
• European Financial Institution: We successfully implemented a private AI system tailored for their specific document processing needs. This implementation prioritized robust Identity and Access Management (IAM) to control data access and incorporated stringent security protocols to ensure data confidentiality and compliance. The private AI system enhanced their operational efficiency while maintaining the highest security standards.
• Sailing Company: copebit introduced a natural language search functionality for their extensive inventory of yachts. This provided a significantly more intuitive and user-friendly experience compared to traditional filter-based search methods. Customers can now easily find their desired yachts by simply describing their preferences in natural language.
• University: We developed a sophisticated system to automatically categorize millions of historical records. This involved utilizing advanced Optical Character Recognition (OCR) technology to digitize the records and then applying AI-powered categorization algorithms to structure the vast amounts of data. The resulting structured data enables easier analysis and retrieval of valuable information for research and administrative purposes.

Why copebit for Bedrock-Based AI?

• AWS-Native Consulting
  Deep expertise in AWS services, with full-stack cloud-native delivery—not vendor lock-ins or third-party detours.
• Data Privacy Built-In
  Everything stays in your account. No data ever leaves your perimeter. No retraining, no exposure, no shadow telemetry.
• Production-Grade Execution
  We apply platform engineering principles to GenAI—IaC, GitOps, secure delivery, and observability from day one.
• Transparent Assets
  You get access to everything: prompt libraries, embedding logic, OpenTofu stacks, and architectural diagrams.
• Trusted Delivery Partner
  With 80+ enterprise AWS projects delivered, we bring precision and repeatability to your GenAI initiatives.

Get Started Today

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