AI Engineering

AI Engineering

Where Consciousness Meets Code

At Deusware, AI engineering transcends mere automation. We build systems that reason through universal principles, recognize patterns across scales, and serve consciousness itself rather than partial interests.

Our Capabilities

Comprehensive ai engineering that transform your business

AI Integration & Orchestration

Multi-agent systems, enterprise AI integration, workflow automation

Intelligent Agent Development

Autonomous agents, conversational AI, specialized task agents

RAG System Architecture

Custom knowledge bases, semantic search, retrieval-augmented generation

MCP Server Development

Model Context Protocol servers, business system integration

AI Research & Innovation

Custom model development, AI strategy consulting, prototyping

Consciousness-Aware AI

Universal Reasoning Framework integration, wisdom-based systems

Azoth Framework Advantage

Universal reasoning that serves all stakeholders

How Azoth Applies to This Service

Every AI system validated through Azoth reasoning framework. Dual-perspective processing ensures universal wisdom meets specific context for genuinely wise outputs—not just statistically probable responses.

This is a key Azoth differentiator

Unlike conventional AI (pattern matching), Azoth-powered AI reasons through principles—generating wisdom beyond training data.

Flagship Project: 15M SEK Norrköping Partnership

15M SEK municipal partnership deploying Azoth-powered AI for democratic governance serving all citizens without favoritism.

Learn More About Azoth

Explore the Azoth Framework

Real-World Applications

See how our solutions transform businesses across industries

Enterprise Knowledge Management

Enterprise Knowledge Management

Custom RAG systems that turn your organization's scattered knowledge into a unified, searchable intelligence. Imagine every employee having instant access to every document, every decision, every insight—contextualized and ready to use.

For organizations with 1,000+ employees

Intelligent Customer Support

Intelligent Customer Support

AI agents that understand context, remember conversations, and provide genuinely helpful responses. Not canned responses—actual intelligence that learns from your knowledge base and improves over time.

For businesses with high support volume

Process Automation

Process Automation with Intelligence

Move beyond simple if-this-then-that automation. Our AI systems understand nuance, handle exceptions intelligently, and make contextual decisions that traditional automation can't.

For complex business workflows

Investment & Pricing

Transparent pricing to help you plan your investment

AI Consulting & Strategy

165K - 550K SEK

AI readiness assessment, opportunity identification, implementation roadmap

Intelligent Agent Development

440K - 1.32M SEK

Custom AI agents, chatbots, virtual assistants with domain expertise

RAG System Implementation

880K - 2.75M SEK

Enterprise knowledge management, semantic search, document intelligence

Multi-Agent Systems

1.65M - 5.5M SEK

Complex orchestrated AI systems, enterprise-scale automation

Investment factors:

  • Complexity of data sources and integration requirements

  • Scale of operations (users, documents, queries per month)

  • Customization and fine-tuning needs

  • Security, compliance, and governance requirements

  • Training and change management requirements

Expected ROI:

6-18 months to break even based on productivity savings and operational efficiency gains. Typical ROI: 400-2000%.

Our AI Engineering Process

We follow a proven methodology that balances innovation with pragmatism, ensuring AI solutions deliver measurable business value.

1
Discovery & Assessment

1-2 weeks

Evaluate current systems, data readiness, identify AI opportunities, define success metrics, assess technical feasibility.

2
Architecture & Design

2-3 weeks

Design system architecture, select models and technologies, plan data pipelines, define integration points.

3
Development & Training

4-12 weeks

Build core AI system, train/fine-tune models, develop interfaces, implement integrations, create monitoring systems.

4
Testing & Refinement

2-4 weeks

Validate accuracy and performance, conduct user testing, refine based on feedback, optimize for production.

5
Deployment & Training

1-2 weeks

Production deployment, team training, documentation delivery, knowledge transfer.

6
Monitoring & Evolution

Ongoing

Performance monitoring, continuous improvement, model updates, support and optimization.

What you receive:

Production-ready AI system

Comprehensive technical documentation

API documentation and integration guides

User training materials and sessions

Monitoring dashboards and alerts

Source code and deployment scripts

FAQs

Do we need to have our own AI expertise in-house?

No. We handle the entire implementation and provide training so your team can manage the system. However, having technical staff who can monitor and make basic adjustments is beneficial for long-term success.

How do you ensure AI accuracy and prevent hallucinations?

We use RAG (Retrieval-Augmented Generation) to ground AI responses in your actual data, implement extensive testing and validation, use confidence scoring, and build human-in-the-loop workflows for critical decisions.

What happens to our data? Is it used to train public models?

Your data stays yours. We never use client data to train public models. All data is encrypted, access-controlled, and handled according to GDPR and industry standards. You maintain full ownership and control.

Can AI systems integrate with our existing tools?

Yes. We specialize in integrating AI with existing systems—CRMs, ERPs, knowledge bases, communication tools, and custom software. Integration planning is a core part of every project.

What if the AI gives wrong answers?

We implement multiple safeguards: confidence scoring, source attribution, human review workflows for critical decisions, continuous monitoring, and feedback loops for improvement. We also clearly communicate system limitations.

How long does it take to see ROI?

Most clients see measurable productivity improvements within 2-4 weeks of deployment. Full ROI typically achieved within 6-18 months depending on scale and use case. We establish clear metrics upfront to track value.

Ready to get started?

Let's discuss how our services can help you achieve your goals