Razvan
Founder & AI Systems Architect. PhD in Machine Learning with 15+ years in industry, focused on designing and deploying high-impact agent systems end-to-end.
From Idea to Impact—We Identify, Design, and Deploy AI Agents That Deliver.
We work with you to uncover the business opportunities where AI agents can make a measurable difference, then turn those insights into working pilots in weeks. With PhDs in Machine Learning and over a decade in industry, our team bridges the gap between strategy, academic rigor, and hands-on engineering.
Our Process
We follow a science-inspired, evidence-driven approach to building AI agents—one that's tailored to minimize risks and accelerate results. Every project begins with a focused Discovery Sprint to identify the right problem and design a viable solution, then moves swiftly into a Prototype & Pilot phase where ideas are tested in the real world within weeks. This structured process ensures clarity, confidence, and measurable impact from day one.
The Discovery Sprint: 1 week to find the right solution to your problems
Every great system starts with a solid plan. To de-risk your investment and ensure we solve the right problem, every engagement begins with a focused, one-week Discovery Sprint. We go from a vague idea to a validated, scoped-out pilot plan in just five days.
Align & Define
We start with a collaborative workshop to understand your core business needs and define a tight, achievable scope for an MVP.
Analyze & Design
We assess your data, validate technical feasibility, and design the AI agent architecture. We then create high-fidelity wireframes so you can see and feel the solution.
Deliver & Propose
We deliver a formal Feasibility Report and a detailed Statement of Work (SOW) for the pilot project, giving you a clear, confident path forward.
Prototype & Pilot: 4 Weeks to turn ideas into reality
With a clear plan in place, it’s time to bring your AI agent to life. In just four weeks, we turn the blueprint from the Discovery Sprint into a fully functional MVP—ready to test, showcase, and refine.
Build & Integrate
We develop the core use-case for your agent, from support-ticket summarization to RAG-powered chatbots, integrating it seamlessly with one of your existing systems or data sources.
Tune & Validate
Through iterative prompt tuning and performance testing, we make sure your agent is accurate, efficient, and aligned with your business needs.
Deploy & Empower
We deploy the MVP in a secure staging environment, provide a guided handover session, and offer one month of post-launch support—so you can pilot your agent with confidence and gather real-world feedback.
What We Do
Agent MVP Prototyping
Deliver working, end-to-end agent prototypes in a matter of weeks.
Agent Architecture Audits
Review existing multi-agent systems and create a prioritized improvement plan.
API & Data Integration
Connect LLM-based agents to the tools, databases, and APIs you already use.
Knowledge-Powered Agents (RAG)
Build the pipelines that let agents fetch the right information from any document collection.
Agent Enablement & Training
Give your internal teams the skills and processes to own their agent lifecycle.
Our Work
AI Insights for a Coffee Shops Network
We helped a multi-location coffee network turn public Google Maps reviews into a source of strategic, actionable insights. In a one-week sprint, we designed an AI agent system and a dashboard that identifies red flags, benchmarks competitors, and provides managers with "Monday morning actions" to improve operations.
Meet the Team
We are a senior, hands-on team focused on turning AI agent ideas into reliable systems that create measurable business impact. We bridge strategy, academic rigor, and practical engineering to deliver results quickly and safely.
Ready to turn your ideas into working agents?
Let's discuss how a 1-Week Discovery Sprint can bring clarity and momentum to your project.