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AI Solutions

From AI idea to production product.

We apply the same engineering that powers our products to problems you bring us. To keep things clear, every capability is labelled by evidence.

How to read the labels

In our live products:
Used in a publicly available Kynoryx AI product.
Built in development:
Implemented in a product or demo that is not yet public.
Service offering:
Available as a service. No public case study yet.

AI Development

Applications where language models do real work — grounded, measured and designed to fail safely.

  • LLM integration

    In our live products

    Model-agnostic integration with fallback between providers, so an outage or rate limit degrades an answer instead of failing it.

    See it in: CryptoTalkies, AIYouTubeManager

  • AI-assisted application engineering

    In our live products

    Specification-driven development where AI accelerates requirements, design, implementation and test preparation, with engineers reviewing every change.

    See it in: PromptFlowEngine

  • Intelligent workflow automation

    In our live products

    Scheduled pipelines that ingest, deduplicate, summarise and publish content with clear checkpoints.

    See it in: CryptoTalkies

  • Responsible AI application design

    In our live products

    Privacy by construction, labelled estimates, human approval on consequential actions, and honest “insufficient data” outcomes.

    See it in: PromptFlowEngine, AI PDF Scanner, Land Price Intelligence

Enterprise AI

AI that fits enterprise reality: governance, existing systems, auditability and cost control.

  • Retrieval-augmented generation

    In our live products

    Retrieval over vector embeddings so answers are grounded in your content rather than the model’s memory.

    See it in: AIYouTubeManager

  • AI governance and guardrails

    In our live products

    Detection of secrets, personal data and prompt-injection patterns before data reaches a model, with policy enforcement in CI.

    See it in: PromptFlowEngine

  • AI agents and MCP

    In our live products

    Agent tooling over the Model Context Protocol, with read-only defaults and explicit human approval for external actions.

    See it in: PromptFlowEngine

  • Enterprise AI architecture

    Service offering

    Reference architectures for AI gateways, knowledge integration, observability and cost management in your environment.

Software Engineering

The foundation under every AI feature: clean architecture, automated delivery and maintainable code.

  • Full-stack web platforms

    In our live products

    Typed front ends and APIs in .NET, TypeScript and Python, built on clean-architecture principles.

    See it in: AIYouTubeManager, PromptFlowEngine, CryptoTalkies

  • Cloud-native and edge architecture

    In our live products

    Serverless and edge deployments on Cloudflare, AWS and Firebase, sized to the workload.

    See it in: PromptFlowEngine, AIYouTubeManager, CryptoTalkies

  • DevOps and CI/CD

    In our live products

    GitHub Actions pipelines with automated tests, preview environments, gated production and fast rollback.

    See it in: PromptFlowEngine, AIYouTubeManager

  • Mobile applications

    In our live products

    Flutter apps with native Kotlin modules where performance or privacy demands it.

    See it in: AI PDF Scanner, CryptoTalkies

  • REST APIs and microservices

    In our live products

    Well-documented APIs with validation, rate limiting and versioning, split into services only when it pays off.

    See it in: PromptFlowEngine, AIYouTubeManager

Data & Intelligence

Turning scattered data into decisions people can trust — with sources, dates and honest uncertainty.

  • Prediction and estimation systems

    Built in development

    Comparable-evidence models that are backtested and decline to estimate below an evidence threshold.

    See it in: Land Price Intelligence

  • Intelligent dashboards

    In our live products

    Market, sentiment and progress views that explain what changed and why, not just what the number is.

    See it in: CryptoTalkies, AIYouTubeManager

  • Data-driven automation

    In our live products

    Ingestion, enrichment and scheduled jobs that keep data fresh within API quotas and budgets.

    See it in: AIYouTubeManager, CryptoTalkies

  • Analytics consulting

    Service offering

    Defining metrics, data models and reporting for product and operations teams.

How we engage

Ways to work together.

We do not publish client case studies without permission. Where a capability is labelled “Service offering”, we are happy to discuss relevant experience and approach directly.

Let's scope your AI initiative.

Share the problem, the users and the constraints. We will reply with questions, options and an honest view of what AI can and cannot do for it.

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