Services

Orilla Technologies helps teams solve difficult engineering problems across high-performance systems and Gemini-first AI automation. From audits and architecture to full delivery, we build robust software that holds up in production.

Services

Systems Engineering

Systems Engineering & Legacy Modernization

Squeezing performance out of every clock cycle

In an era of bloated software, we return to the metal. Orilla Technologies offers specialized consulting for performance-critical applications. Whether you are maintaining a legacy C++ codebase, optimizing a Linux kernel driver, or building a new high-frequency trading engine, we apply rigorous memory management and concurrency patterns to ensure stability and speed.

  • Modern C++ (11/14/17/20): Migrating legacy codebases to modern standards for safety and maintainability.
  • Rust Integration: Incrementally rewriting critical paths in Rust for memory safety without sacrificing speed.
  • Cross-Platform Portability: Ensuring your low-level code runs seamlessly across Windows, Linux, and BSD.
  • Custom Tooling: Building CLI utilities and internal developer tools that integrate with low-level libraries (SQLite, Darknet).
Autonomous Agents & Intelligent Automation

Autonomous Agents & Intelligent Automation

Moving from Chatbots to Action-Bots

We build AI systems that do work, not just talk about it. Leveraging our proprietary 'Strategy/Spider' architecture, we decouple high-cost reasoning (LLMs) from low-cost execution (deterministic spiders). This allows for scalable, self-healing automation pipelines that can navigate the web, extract complex data, and interact with SaaS platforms autonomously.

  • Browser-Use Orchestration: Deploying fleets of headless browsers controlled by AI to perform complex workflows (e.g., procurement, research, competitive analysis).
  • Self-Healing Scrapers: Web scrapers that automatically detect UI changes and patch their own selectors using visual analysis.
  • RAG Implementation: Building Retrieval-Augmented Generation systems using Azure, Pinecone, and Cohere to chat with your private enterprise data.
  • Document Intelligence: Parsing complex PDFs, tables, and handwritten notes using multi-modal models (Docling, Gemini).
Technical Discovery

Technical Discovery & Architectural Audits

Know what you’re building before you write a line of code.

Software projects often fail due to vague requirements and poor architectural decisions. Our Discovery process is a rigorous deep-dive into your technical needs. We map out your existing infrastructure, identify bottlenecks, and produce a detailed blueprint for execution—whether you build with us or your internal team.

  • Codebase Health Checks: Analyzing legacy repositories for technical debt and security risks.
  • Architecture Review: Evaluating microservices and cloud infrastructure (Azure/AWS) for scalability.
  • Feasibility Studies: Prototyping 'Proof of Concepts' (PoCs) to validate risky AI or systems ideas before full investment.