[Purpose]
Our AI Solutions
Tailored Agentic AI
Custom-built AI agents that automate tasks, make decisions, and adapt to your business needs. Reasoning capabilities are included.
GenAI That Adds Value
We integrate Generative AI only where it drives real outcomes — from content generation and insights provider software to smarter workflows.
Modern Computer Vision
Robust vision systems for detection, tracking, and 3D reasoning — built to perform reliably in real-world conditions.
Discovery
Quick, cost-effective AI blueprints designed specifically for your businesses — even if the final build isn’t done by us.
AI Strategy & Consulting
Expert guidance to help you plan, de-risk, and scale AI initiatives — whether you’re just starting or already in production.
[Unblocked]
We solve the most common blockers to successful AI adoption
AI software without the usual friction: agents and models, seamless integration, and smart systems that fit your existing tools. No fluff — with Reinode Software it’s just clear, practical guidance and ready-to-use solutions, even when your data’s a mess.
- No in-house AI
- High costs
- Integration fear
- Buzzword overload
- Bad data
- Expert AI agents you can use today
- Lean, modular systems
- Seamless, non-disruptive rollout
- Clear, honest AI guidance
- Data cleanup + integration included
[Method]
Process and Approach
Quick and Tangible Pilot
Feedback-focused Iterative Refinement
Go-Live Deployment
Integration & Scaling
Continuous Innovation
[stock]
Featured technologies
Our stack includes the core technologies we rely on to deliver AI solutions that fit real business needs and integrate smoothly with existing systems.
Infrastructure:
Scalable, secure AI deployments with flexible cloud infrastructure.
Cloud-native AI development with strong data and ML tools.
Flexible, hybrid AI infrastructure with comprehensive data integration and security services.
AI Development:
Deep learning framework for building and training custom AI models.
Framework for stateful workflows with large language models.
Using machine learning models in natural language processing
AI Backend:
AI, deep learning, and high-performance computing.
Framework for building APIs with async support and automatic docs.
High-performance, inference engine for large language models.
Frontend:
Library for building user interfaces, especially single-page applications
Framework for quickly styling low-level, reusable classes.
[Connect]
Not sure where to start with AI?
Let’s talk.
Tell us a bit about your goals — we’ll help you figure out what’s possible and where to begin.