Sidetrade launched SAFE, the Sidetrade Agentic Framework for Enterprise, where every agent built on SAFE runs on Sidetrade's own models, in Sidetrade's own data centers, and on Sidetrade's own token production.
“During the first wave of generative AI, the question every enterprise asked was which model was the most powerful. Finance departments are now asking a different question: How do we put AI to work on one of our most sensitive processes, cash flow generation, without handing control of our customer data, operating model and intelligence to someone else? And how can we invest in agentic AI at scale if we have no visibility into what it will cost to run in such a volatile environment?” says Olivier Novasque, CEO and founder of Sidetrade. “Over the past few months, we have seen CFOs become increasingly focused on the sovereignty Sidetrade offers. Addressing those concerns takes the full stack. You have to own the infrastructure, the compute, the models and the framework the agents run on. We do, from our data centers to Aimie IQ. But owning the stack only makes AI sovereign. What makes it intelligent is the data, and that is the layer we own that no AI company can easily buy or replicate. The Sidetrade Data Lake manages nearly $10 trillion in B2B transactions across close to 45 million corporate buyers, accumulated over more than a decade. SAFE is where the stack and the data meet. It is what enabled our AI-native products to win nearly every competitive deal in the first half of 2026, and it is what lets our customers know upfront what their AI will cost to run at scale. Sovereign. Intelligent. Predictable. No one else in the order-to-cash market can offer all three.”
Key takeaways:
· SAFE is the common foundation under Sidetrade's three AI-native products: Aimie IQ, the engagement and orchestration layer accessible in natural language; Aimie Agents, a library of ready-to-deploy agents, starting with the Aimie Cash Collection Agent; and Customer Agents, built by customers or their partners in Agent Builder Studio. The result is one AI-native framework with the same controls for every agent, regardless of who builds them.
· SAFE is organized into two layers. The Agent Connect handles everything that surrounds an agent. It combines an Agent Registry and a single declarative configuration model, an Event Router that dispatches order-to-cash (O2C) events to the right agents, and a Skills Registry of reusable O2C skills that agents share and invoke. The Agent Harness governs the agent at runtime. It assembles context from O2C data, orchestrates reasoning on Sidetrade's models, selects the right tool among O2C actions, enforces policy with deterministic escalation, and maintains audit trails and memory so that each run improves the next.
“The last era of enterprise technology was about accumulating data. The AI-native era is about accumulating learning and turning it into intelligence. Sidetrade has both. We start from a proprietary Data Lake that gives our AI context and history at a depth no incumbent can match. SAFE is how we put it to work. We run everything on our own GPUs, so the inference is ours, and now the learning is too. Memory, playbooks, feedback, what worked and what did not, none of it leaves our four walls. When a decision needs a human, Aimie remembers what they chose and why, and it is there for the next time. Our users and agents working together, learning side by side in the SAFE environment, creates the ultimate learning loop. That is how AI investment compounds with usage,” says Luke Hennerley, VP of AI operations at Sidetrade.
