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Sidetrade launches AI-native plan with three new products

Fri, 10th Apr 2026

Sidetrade has unveiled a four-year plan to reposition itself as an AI-native order-to-cash company, including the launch of three AI-native products by the third quarter of 2026.

The strategy, called O2C Intelligence 2030, aims to shift the business from a pure software subscription model to a mix of recurring SaaS revenue and AI-related income tied to product usage. Sidetrade expects AI-native products to account for 20% to 25% of total bookings by 2027 and more than 50% by 2030.

It is also targeting AI-native revenue of €18 million to €23 million by 2030 and an EBITDA margin of 30% to 35% by the end of the plan. In 2025, the group reported revenue of €61.4 million and EBITDA of €13.4 million, or 22% of revenue.

The strategy is built around a large proprietary data set drawn from order-to-cash processes. Sidetrade says its data lake contains more than USD $8.8 trillion in B2B transactions, 1.3 billion payment experiences, and information on 42 million buyer companies over the past five years.

That data has been used to train specialist models for payment prediction, automated cash application, and collection recommendations, alongside a domain-specific large language model. These systems run within Sidetrade's private cloud infrastructure.

Management argues that this data asset gives the company an edge as software groups race to add AI tools to existing applications. In March, US investor Briarwood Chase Management doubled its stake in Sidetrade, taking its holding above 10% of the company's share capital.

"We have spent 10 years building the world's largest Order-to-Cash data asset, at a time when very few technology companies were thinking about data at this scale," said Olivier Novasque, Chief Executive Officer & Founder of Sidetrade. "This foundation is now our decisive advantage. With O2C Intelligence 2030, we are leveraging it at the speed of the agentic revolution."

Product rollout

The first part of the plan centres on Aimie agents, which Sidetrade describes as digital workers for credit management roles. The first product, Aimie Cash Collection, is already in use, with 24 agents either in production or being rolled out at large companies.

According to the company, these agents can decide on collection actions, timing, and communication channels. They can also handle conversations with debtors, follow up on payments, and update records in its cash collection software.

Three more products are due within the next year: Aimie Cash Application Analyst, Aimie Dispute Resolver, and Aimie Credit Analyst. These will be sold on a fixed monthly subscription model, priced per agent, with limits on the number of executions each month.

A second product area is Agent Builder Studio, a no-code tool designed to let customers create their own AI agents for complex order-to-cash workflows. Sidetrade says this would allow companies to build agents for tasks such as posting invoices to buyer portals or checking deductions against retail discount agreements.

"At Sidetrade, the customer agent interacts with the world's richest Order-to-Cash data asset, expert AI models built on that data, and with business applications designed for the most complex processes. This combination is what makes agents built within Sidetrade structurally superior to any agent that can be built outside," said Novasque.

The third product, Aimie IQ, is intended to serve as a natural-language interface linking human users, AI agents, and Sidetrade's existing order-to-cash applications. It is designed to guide users toward priority actions, trigger agents for specific tasks, and monitor outcomes across the full process.

"For a decade, the situation was simple: users interacted with software. We are now entering into a new paradigm, a symbiotic relationship where the interaction between humans, software, and AI agents occurs," said Novasque. "The shift is from software that helps finance teams manage Order-to-Cash to Intelligence that runs it as a coordinated, real-time system governed by the customer's own policies."

Internal shift

Sidetrade is also applying the same model internally through a 36-month programme to deploy AI agents across its own operations. It expects to introduce 20 to 40 internal agents in the first year, targeting operational efficiency gains of 10% to 15%.

The programme covers research and development, testing, quality assurance, and deployment. The company is aiming for a threefold increase in R&D productivity within 36 months.

Sidetrade has also merged customer success, professional services, and IT support into a new Client Experience department, which will gradually be supported by AI agents. The move is intended to give customers a single point of view rather than passing them between departments.

Mark Sheldon, Chief Technology Officer, outlined the architecture behind the strategy. "Our O2C Intelligence platform consists of four layers. At the base, our Data Lake and our domain-expert models: this is the intelligence foundation. Above that, private LLMs, core data processing, security and Agent Builder Studio form the platform layer. Then comes the execution layer, where Aimie Agents and Customer Agents operate alongside O2C business applications. And at the top, Aimie IQ powers the engagement layer. These four layers are not merely stacked. They reinforce each other. The result is a system where intelligence and execution are inseparable, and where the platform gains intelligence with every interaction," said Sheldon.

In 2025, SaaS subscriptions rose 20% at constant currency to €53.5 million, with North America accounting for 30% of subscription revenue. Companies with annual revenue above USD $1 billion generated 85% of group revenue, while the average initial contract term reached 46.4 months.