AI & Agentic Engineering
Deploying private, local-first AI and autonomous agentic workflows.
Modern engineering, zero lock‑in
We design fast, secure, maintainable systems using open standards so your business owns the platform—not the other way around.
Moving Beyond the Chatbot
While most businesses are experimenting with basic AI chat, the real value lies in Agentic Engineering—building autonomous systems that can use tools, reason through complex tasks, and integrate deeply with your existing workflows.
We help you move beyond "Prompt Engineering" and into AI Systems Engineering.
Our AI Expertise
1. Local LLM Architecture & Deployment
For many organizations, sending sensitive data to third-party APIs is a non-starter. We specialize in deploying high-performance, private AI solutions that run on your own hardware or secure cloud enclaves.
- Local Inference: Deploying models like Llama 3 or Mistral using Ollama for low-latency, private execution.
- Data Sovereignty: Ensuring your intellectual property and customer data never leave your secure perimeter.
- Hybrid Cloud: Orchestrating workloads across Google Vertex AI and local hardware to balance cost and performance.
2. Agentic Workflows & Orchestration
We build "agents" that don't just talk, but act. By leveraging tool-calling and autonomous reasoning, we create systems that can manage backlogs, audit code, or automate complex data pipelines.
- Agent Frameworks: Implementation using OpenAI, Gemini, and Claude Code agents.
- Google Antigravity: Leveraging cutting-edge agent orchestration for complex, multi-turn task management.
- Custom Tooling: Building the "hands" for your AI, allowing agents to interact safely with your APIs, databases, and file systems.
3. AI-Enhanced Developer Experience (DevEx)
We integrate AI directly into the development loop to increase velocity without sacrificing quality.
- IDE Integration: Custom VS Code agents and extensions tailored to your team's specific coding standards and architecture.
- Automated Code Auditing: Using LLMs to enforce STIG compliance and security standards during the CI/CD process.
- Context-Aware Tooling: Building RAG (Retrieval-Augmented Generation) systems that allow agents to understand your entire technical ecosystem.
Our Technology Stack
We work with the industry's leading models and frameworks to ensure you have the right tool for the job:
- Models: OpenAI (GPT-4), Google (Gemini 1.5 Pro), Anthropic (Claude 3.5), Meta (Llama 3).
- Platforms: Google Cloud Vertex AI, Ollama, Hugging Face.
- Integrations: VS Code Extension API, Google Antigravity, custom Python/TypeScript agent frameworks.
How We Can Help
- AI Readiness Audit: Assessing your current infrastructure and data for AI integration.
- Proof of Concept (PoC): Rapidly building a functional agentic workflow for a specific business use case.
- Production Deployment: Scaling your AI solutions with robust monitoring and security controls.