Generative AI & RAG
Production-focused generative ai & rag designed around reliability, usability, security and long-term maintainability.
AI ENGINEERING
AI Engineering & Artificial Intelligence Services
Design and deploy practical AI systems: generative AI, AI agents, computer vision, edge AI, document intelligence, voice AI and automation.
Generative AI
AI agents
Computer vision
Edge + automation
What we build
Practical engineering for production systems.
Delighteck approaches ai engineering & artificial intelligence services as a complete engineering problem. We connect architecture, implementation and real-world operations so the result is useful beyond the prototype.
Generative AI
AI agents
Computer vision
Edge + automation
When you need this
Use this when the system has to work beyond a demo.
You are moving from idea or prototype toward a real product.
Your work crosses hardware, firmware, cloud, mobile, web or AI boundaries.
You need architecture before committing to implementation.
You have an existing product that needs reliability, scale or modernization.
Capabilities
Engineering depth, focused on outcomes.
AI Agents
Production-focused ai agents designed around reliability, usability, security and long-term maintainability.
Computer Vision
Production-focused computer vision designed around reliability, usability, security and long-term maintainability.
Edge AI
Production-focused edge ai designed around reliability, usability, security and long-term maintainability.
Tech stack
Built with the right tools for the product.
We choose the stack around reliability, maintainability, field constraints and long-term ownership.
Computer visionLLMsRAGEdge AIPython
AI Engineering & Artificial Intelligence Services
From Data to Intelligence. From Intelligence to Action.
We turn real business problems into practical AI systems that are measurable, secure and useful in production.
AI engineering delivery process
Clear milestones with visible engineering outputs.
Continuous evaluation and learning
Production feedback, human review and evaluation results drive safer, more useful AI.
1
Discover
Identify the problem, use cases, success metrics and risks.
AI opportunity brief
2
Assess
Evaluate data, model options, feasibility and safeguards.
AI architecture
3
Experiment
Test models, prompts, retrieval and agent workflows with real examples.
AI proof of concept
4
Engineer
Integrate models, tools, data, APIs and guardrails into production systems.
Production AI system
5
Evaluate
Measure accuracy, safety, latency, cost and reliability before launch.
Evaluation report
6
Operate
Deploy, monitor, improve and govern AI in production.
Operational AI
Real problems. Real intelligence. Real impact.
AI that works for your business.
Useful AI is not only a model. It is data, workflow, evaluation, guardrails, deployment and continuous learning.
LLMs & GenAI
Computer Vision
Agent-based Automation
Data & Analytics
Edge AI
Enterprise AI
Understand
Reason
Plan
Act
Data, models, tools and feedback loops become an operating system for better decisions.
Measurable outcomes
AI tied to real business impact, not demos that cannot be evaluated.
Responsible AI
Security, privacy, human review, auditability and compliance-aware guardrails.
Domain expertise
AI workflows designed around real-world operations and industry constraints.
Long-term partnership
Build, operate, evaluate and improve AI systems as usage grows.
OpenAIAWSAzureAnthropicMetaGoogle CloudLangChainLlamaPyTorchTensorFlowVector databasesNVIDIA
Common use cases
Where this service typically fits.
Generative AI
AI agents
Computer vision
Edge + automation
Generative AI & RAG
AI Agents
Computer Vision
FAQs
Clear answers before you start.
Can Delighteck deliver this end to end?
Yes. Delighteck can combine the relevant product, software, cloud and AI disciplines for ai engineering & artificial intelligence services, depending on the scope.
Can you work with an existing product or codebase?
Yes. We can assess the current architecture, identify gaps and work incrementally rather than requiring a complete rebuild.
How does a project start?
Usually with requirements and architecture discovery, followed by a scoped feasibility, prototype or implementation phase.
Can you support deployment and scale?
Yes. We design with validation, deployment, operations, maintainability and lifecycle needs in mind.
Next step
Discuss Your ProjectShare the problem. We will map the engineering path.
Bring your idea, requirements, prototype or existing system. We will help identify the practical next step.