
Wallaroo helps engineering and data teams deploy machine learning models into production quickly and reliably. The platform is purpose-built for last-mile ML, supporting any model and any hardware across cloud, edge, and hybrid environments. It is an enterprise B2B SaaS solution that handles model packaging, secure rollouts, and scalable inference for cloud analytics, edge AI, and generative AI initiatives. Wallaroo integrates with existing analytics stacks and infrastructure to fit end-to-end ML workflows for enterprises.

Wallaroo helps engineering and data teams deploy machine learning models into production quickly and reliably. The platform is purpose-built for last-mile ML, supporting any model and any hardware across cloud, edge, and hybrid environments. It is an enterprise B2B SaaS solution that handles model packaging, secure rollouts, and scalable inference for cloud analytics, edge AI, and generative AI initiatives. Wallaroo integrates with existing analytics stacks and infrastructure to fit end-to-end ML workflows for enterprises.
What they do: Enterprise AI orchestration and inference platform for deploying and managing ML/LLM workloads across cloud, on-prem, and edge
Founded / HQ: Founded 2017–2018; headquartered in New York City
Stage / Funding: Series A; total disclosed funding listed as $31,808,685 (USD) with last round in Feb 2022
Tech focus: Model packaging, secure rollouts, scalable inference, observability for cloud/edge/hybrid
Operationalizing machine learning and inference at enterprise scale across cloud, on-premises, and edge hardware.
2018
Data and Analytics
Company referenced a Series A with participation from M12; total funding across rounds listed as $31,808,685 (USD)
“Backed by a mix of venture and corporate investors including M12 (Microsoft), Boldstart Ventures, Contour Venture Partners, Eniac Ventures, Greycroft, and others”