The Challenge

Every business hears that AI will transform their industry. But most AI initiatives fail — not because the AI isn’t good enough, but because organizations rush in without a plan, build solutions disconnected from their actual systems, or can’t keep them running reliably in production.

The gap between “AI could help us” and “AI is delivering value” is an engineering problem. That’s where we come in.

What We Deliver

Strategy & Readiness

AI Readiness Assessment

We evaluate your current state across three dimensions: data quality and availability, system architecture and integration readiness, and team capabilities. You get an honest picture — not a sales pitch. Sometimes the answer is “you’re not ready yet” or “AI isn’t the right solution here.”

Use Case Identification & Prioritization

We work with your team to identify concrete AI use cases in your business processes. Each use case is evaluated for feasibility, expected impact, and implementation complexity. You get a prioritized list — starting with quick wins that build momentum.

AI Roadmap & Business Case

We develop a phased implementation plan with clear milestones, resource requirements, and expected outcomes. Every recommendation includes a realistic cost-benefit analysis so you can make informed investment decisions.

Integration & Development

LLM & Generative AI Integration

We integrate large language models into your business processes — document analysis, customer communication, knowledge retrieval, content generation, and decision support. We design solutions that use AI where it adds value and keep humans in the loop where it matters.

Data-Driven Intelligence

From demand forecasting and anomaly detection to customer segmentation and process optimization — we connect the right AI capabilities to your data and workflows. We favor proven managed services over building from scratch.

Custom AI Application Development

When off-the-shelf tools don’t fit, we build custom AI-powered applications. Our approach favors clean architecture, minimal dependencies, and proven technology stacks — the same engineering principles we apply to all our software work.

Infrastructure & Operations

AI-Ready Cloud Infrastructure

We design cloud infrastructure on AWS optimized for AI workloads — compute optimization, data pipeline architecture, secure storage, and low-latency networking. Our serverless-first approach keeps costs low.

Deployment, Monitoring & Cost Control

AI systems need the same operational discipline as any production system — automated deployments, health monitoring, usage analytics, and cost dashboards. We implement AI service monitoring, response quality tracking, and alerts before costs spiral. Our production platforms run at a fraction of typical cloud costs.

Technology & Vendor Evaluation

Not every AI problem needs a custom solution. We help you evaluate which AI services, platforms, and vendors fit your needs — always favoring proven, cost-effective solutions over trendy alternatives.

Our Engineering Advantage

What makes TyskTech different from typical AI vendors is our enterprise engineering background. We’ve built systems handling 400,000+ requests per second, migrated entire datacenters to the cloud, and architected platforms across regulated industries. When we integrate AI, it’s done with the same production-grade rigor we apply to every system we build.

This is complemented by graduate-level studies in Applied Artificial Intelligence — covering deep learning, pattern recognition, data mining, and AI applications in business and healthcare. Theory and practice, together.

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