We design systems capable of reasoning, deciding, and executing complex tasks directly on your systems. No armies of juniors. No learning curves. Just experts.
The market is saturated with demos that never make it to production. Large consulting firms propose bureaucratic "AI factories" and massive teams that learn at the expense of your budget.
Level 909 replaces “endless experimentation” with a ModelOps and Agile Delivery approach that guarantees production readiness in weeks, not months.
We do not implement tools; we deploy a digital workforce. Autonomous agentic systems that reason and execute on your infrastructure.
We are a rapid response team: We believe in small, agile and highly experienced teams. No more "juniorisation": Your project will not be anyone's training ground. You will be served by experts who understand architecture, data and business from day one.
We design solutions that go beyond the hype of Generative AI to deliver tangible and measurable value.
Radical Technological Agnosticism.
Our infrastructure is designed to decouple intelligence models from execution tools, allowing for total adaptability in the face of technological obsolescence..
We implement a flexible model selection strategy (GPT, Claude, Gemini, Llama) based on the optimal balance between cost, latency, and reasoning for each specific task.
We use advanced architectures based on LangGraph to manage complex multi-agent flows using graphs, and AutoGen for asynchronous communications, ensuring that the system's reasoning is auditable and consistent.
We enable deep integration with your core systems (ERPs, CRMs) through MCP and A2A protocols, ensuring smooth and secure interoperability between agents and corporate tools.
We deploy high-performance vector data stores (Pinecone, MongoDB Atlas Vector Search) to provide agents with short- and long-term memory, enabling accurate context retention and frictionless access to corporate information.
We automate the deployment, monitoring, and retraining of solutions using ModelOps pipelines, integrating AI TRiSM governance at every stage to mitigate model drift risks or security vulnerabilities in real time.