Build AI Agents Fast. Upskill Your Team. Own Your IP.
Struggling with complex AI agent development? As an experienced AI and Engineering leader, I partner with tech companies to build custom AI agents and deliver lasting in-house capability in 3-6 months, ensuring you get a production-ready solution and a team empowered to drive your agentic AI initiatives.
Launch Custom AI Agents 50% Faster
Slash AI Talent Costs by Upskilling Your Team
Client-Owned IP & AI Roadmap
Why Building AI Agents is Hard
AI & Software Silos
Building reliable agents needs more than just AI models or just traditional code. ML engineers might focus solely on model improvements, while software engineers might try to rigidly control LLMs with complex logic. Neither approach alone builds robust, intelligent AI agents. A holistic understanding, often missing in typical AI development services, blending both disciplines is crucial.
Agent Systems Are Deceptive
Effective AI agents aren't just LLM API wrappers. They require sophisticated state management, reliable tool integration, dynamic planning, and robust error handling. Teams often underestimate this system-level engineering complexity, leading to brittle prototypes that fail in real-world scenarios.
No Proven Blueprint
Without a proven architectural blueprint for agentic AI, teams spend months (or years) struggling to design agent systems that are testable, maintainable, observable, and scalable. This trial-and-error approach to architecture is slow, costly, and often results in systems that are difficult to evolve.
Steep Learning Curve
The concepts and best practices for building multi-turn, tool-using, and truly autonomous agents are still new and evolving rapidly. Teams face a steep learning curve in understanding how to reliably orchestrate LLMs, manage memory, and ensure agents act predictably and effectively, delaying progress.
What I Bring to the Table: AI Agent Solutions & Team Enablement
My focused 3-6 month partnership delivers a working autonomous agent product and the internal expertise for your long-term success. With over 12 years in technology, spanning big tech (Oracle, Yelp) and six fast-paced startups/scale-ups (including AI leadership at DataGuard where I led our AI software development), I bring a practical, results-driven approach to enabling your team and ensuring critical business outcomes from your AI agent development projects.
Launch Faster
Use my battle-tested agent architecture to launch your custom AI agent up to 50% faster and potentially reduce initial build costs by 20-40%. We build reliable, scalable AI agents, including training custom LLMs for optimized accuracy and cost when needed, getting your product to market efficiently.
Develop In-House AI Experts
I train your software engineers into AI specialists during the project, a core part of my AI development services, saving you $100k+ per year in typical AI talent costs. Your team gains practical, lasting skills to manage, iterate, and innovate on your AI agents independently.
Own Your IP
You retain 100% ownership of the custom AI agent codebase, architecture, and any custom AI models. This is a key differentiator from many AI consulting company engagements as it becomes a valuable IP asset, giving you full control, preventing vendor lock-in, and strengthening your company's strategic position.
Enable Continuous Innovation
The combination of a robust, well-architected agent system and a skilled in-house team empowers you to iterate 2x faster post-engagement on your agentic AI product. This means you can rapidly adapt to market changes, add new features, and continuously enhance your AI product long after our initial build.
Hands-On Builder: From Code to Capable Team
I'm not your typical AI consultant. I'm a hands-on AI and engineering leader who builds alongside your team. My experience spans tech giants like Oracle and Yelp to the fast-paced 'ship-it' culture of six startups and scale-ups. I bring proven architecture, code, and a practical approach to get your AI agent built and your team enabled.
Direct Contribution
I actively participate in designing, coding, and deploying your custom AI agent system.
Proven Starting Point
We accelerate development using my robust agent architecture and foundational code, customized for you.
Focus on Your Independence
My goal is your team's self-sufficiency. After 3-6 months, you own it and run it.
Tangible Delivery
You get a launched AI product, owned IP, and an upskilled team ready for the future.
Proven Impact
Ference Brose
CTO | Tech Entrepreneur
"Seeing his ambition and potential, I promoted Laurentiu to Director of Engineering and AI, where he spearheaded GenAI development... Laurentiu built our AI team with talented engineers who had no experience with AI development yet, but were eager to learn."
"The AI team initially launched an in-house Chatbot for knowledge management. Soon many different tools emerged that drove efficiency, both in-house and customer-facing. To achieve this, Laurentiu's team built an AI platform covering the entire MLOps workflow."
"In addition to boosting efficiency and innovation, Laurentiu worked closely with counterparts from other departments... producing excellent results. He is an ambitious, impactful, people-centric leader. I strongly endorse him..."
Example Projects: Real Autonomous Agent Examples
Human-Level Autonomous Shopping Assistant
Alfredo translates complex user needs into product features, then autonomously finds the best products online to solve the user's problem. (Built Oct 2024, pre-dating comparable market solutions).
Deep user need understanding & feature mapping.
Autonomous multi-source product research.
Delivers curated product solutions.
Early innovator in autonomous shopping.
Human-Level Autonomous Travel Assistant
Guido understands nuanced travel preferences to recommend destinations, then autonomously researches hotels, attractions, and restaurants, crafting comprehensive travel itineraries in minutes.
Personalized destination & activity matching.
Autonomous research & travel information synthesis.
Rapid itinerary generation (weeks to minutes).
End-to-end travel planning support.
Open Source Large Language Model for Catalan
CataLlama is a high-performing open-source LLM for Catalan, trained on a meticulously sampled 710k instruction dataset, achieving strong benchmark scores.
High-quality 710k custom instruct dataset.
60.53 MMLU, 77.26 GSM8K.
Fully open-sourced training recipe & datasets.
Addresses need for specialized non-English LLMs.
Insights from My Work
Why LLMs Are a Game Changer for AI development (It's Not Intelligence)
Summary of my LinkedIn post:
"LLMs don't 'think'; they masterfully replicate patterns from data. The true revolution is the Transformer architecture's versatility – one model handling diverse tasks. This simplification, not a step towards AGI, is what reduces operational complexity and drives mass adoption of advanced AI capabilities."Read Full Article on LinkedIn
Decoding AI Agents: Software Engineering for Agentic AI
Summary of my LinkedIn post:
"AI Agent terminology often repackages core software engineering concepts. An 'Agent' is a state machine around LLMs; 'Memory' is session/system data; 'Multi-agent systems' apply modular design. Ultimately, building effective Agents means applying robust SE principles to LLM utilities – no AI PhD required."Read Full Article on LinkedIn
Is This Right For You?
This focused partnership works best for:
- Funded AI Startups: Needing to build AI agents for their core product quickly and reliably.
- Established SaaS Companies: Seeking expert AI software development for new agent-based products and internal skill building.
You likely have:
- A clear business case for an autonomous AI agent.
- Available software engineers ready to learn and contribute.
- Commitment to a 3-6 month intensive build and training engagement.
- The goal of owning your AI technology long-term.
You probably are:
The Visionary CTO / Head of AI
You're driving the technical vision and AI strategy. You see the transformative potential of autonomous agents but need a reliable way to execute complex builds, avoid common pitfalls, and ensure your team can sustain the innovation. You're looking for more than an AI consulting company; you need a partner who can accelerate custom AI agent development and build lasting internal capability, not just a short-term fix.
Your challenges:
Slow R&D to production, risk of building brittle architectures, skill gaps in advanced agent development, desire to build internal IP.
The Pragmatic VP / Director of Engineering
You're responsible for delivering robust, scalable software and managing engineering teams. You need to integrate advanced AI agent development effectively without disrupting existing systems or overstretching your team's current skillset. You're looking for a proven, hands-on approach to build AI agents and efficiently upskill your engineers with practical, project-based learning.
Your challenges:
Difficulty integrating AI with software engineering best practices, challenges in upskilling teams for new AI paradigms, need for predictable project execution, pressure to deliver reliable systems.
The Ambitious Founder / CEO
You've secured funding and have a bold vision for an AI agent product that will disrupt the market. You need to move incredibly fast on your agentic AI product, build a technically sound V1 to demonstrate traction, and establish a core engineering team that can scale with the company. You need a partner for immediate expert execution in AI agent development and help lay the foundation for long-term technical strength.
Your challenges:
Urgency to launch MVP, need for rapid technical execution, challenge of building a strong initial engineering team, desire to secure early market leadership.
Launch Your Custom AI Agent. Empower Your Team.
Struggling with AI agent development? Get a production-ready custom AI agent and a skilled internal team in 3-6 months. Fill out the form, and I'll contact you within one business day to discuss your project. Initial consultation is complimentary.
Benefits of an Initial Consultation:
- Personalized Feedback: Direct insights on your specific AI agent challenges and goals.
- Clear Next Steps: Understand how a 3-6 month partnership can deliver your AI product.
- Strategic Alignment: Explore how proven architecture and team enablement can transform your AI initiatives.