Sequen Raises $90M Series B Led by Prysm Capital for Its Behavior Design Engine

Sequen, the company behind what it describes as the first Behavior Design Engine for the enterprise, has raised a $90 million Series B round. The funding was led by Prysm Capital, with participation from Threshold Ventures and White Star Capital.

The Round at a Glance

• Company: Sequen
• Round type: Series B
• Amount raised: $90,000,000 USD
• Lead investor: Prysm Capital
• Additional investors: Threshold Ventures, White Star Capital
• Funding date: September 10, 2026
• Domain: sequen.ai

The round brings Sequen to the Series B stage with a syndicate that pairs a new lead in Prysm Capital with returning participation from Threshold Ventures and White Star Capital.

What Sequen Does

Sequen positions itself as a foundational rethink of enterprise relevance rather than a retrofit of existing AI search or recommendation systems. According to the company, its approach starts from first principles instead of layering machine learning onto legacy personalization pipelines.

At the center of the platform is what Sequen calls a Large Event Model, or LEM. The company describes LEMs as specialized neural networks that predict the next user event, drawing a direct analogy to how large language models predict the next word. Sequen states that its LEMs are pre-trained on billions of user event sequences and then fine-tuned to optimize for the outcomes a given enterprise cares about.

The company says its models are trained on billions of user-site interactions and built natively on a reinforcement learning infrastructure.

Replacing the Personalization Pipeline

Sequen frames the problem it addresses as one of fragmentation. Traditional personalization stacks are assembled from fixed pipelines and disconnected infrastructure components, each handling a different phase of the process. Sequen's proposition is to replace that assembly with a single endpoint that adaptively handles all phases of personalization through LEMs and memory models.

The company states that this endpoint operates through an API with sub-25ms latency, a figure that matters for enterprises where personalization decisions must be made inline with live user sessions.

Why the Positioning Matters

The distinction Sequen draws is between incremental improvement and architectural replacement. Retrofit approaches, in the company's framing, adapt existing search and recommendation systems with AI components. Sequen instead claims to have built a new foundation, with the LEM as the core primitive and reinforcement learning as the training infrastructure.

That positioning places Sequen in the broader category of companies attempting to unify what has historically been a multi-vendor, multi-stage pipeline into a single model-driven service. For enterprise buyers, the appeal of a single endpoint is operational: fewer systems to integrate, fewer handoffs between stages, and a consistent optimization target across the personalization lifecycle.

The Investor Syndicate

Prysm Capital led the Series B, marking the firm's entry as the lead on this round. Threshold Ventures and White Star Capital both participated alongside the lead.

The presence of multiple institutional investors at the Series B stage reflects continued appetite for infrastructure-layer AI companies that sell into enterprise environments, particularly those making architectural claims rather than feature-level claims.

What the Funding Signals

A $90 million Series B is a substantial round for a company at this stage, and it arrives alongside a specific technical narrative: pre-training on billions of user event sequences, reinforcement learning infrastructure, and a latency-sensitive API endpoint.

For enterprises evaluating personalization and relevance infrastructure, Sequen's raise is a signal that the category continues to attract significant capital. For the company, the round provides runway to continue developing its LEM-based platform and to expand its enterprise footprint.

Key Facts

• Sequen raised a $90 million Series B.
• Prysm Capital led the round.
• Threshold Ventures and White Star Capital participated.
• The round was dated September 10, 2026.
• Sequen describes its core technology as a Large Event Model trained on billions of user event sequences.
• The company offers a single API endpoint for personalization with sub-25ms latency.

Sequen is based at sequen.ai and operates at the Series B stage following this raise.