What is Deepchecks?
Deepchecks operates as a comprehensive platform for AI testing, observability, and monitoring, specifically engineered to provide visibility and control across the entire AI lifecycle. The platform addresses the growing complexity of LLM evaluation and ML monitoring, offering a suite of tools that ensure AI systems remain reliable, secure, and compliant with industry standards. By supporting diverse deployment models—including SaaS, private cloud, and bare metal—Deepchecks provides the flexibility required by regulated industries to maintain strict data privacy while scaling their AI operations. The company serves as a vital layer of infrastructure for engineering teams tasked with maintaining trust in automated decision-making systems.
How much funding has Deepchecks raised?
Deepchecks has raised a total of $14M across 1 funding round:
Angel/Seed
$14M
Angel/Seed (2023): $14M with participation from Alpha Wave Global, Hetz Ventures, and Grove Ventures Ltd
Key Investors in Deepchecks
Alpha Wave Global
Alpha Wave Global is a multi-stage investment firm that focuses on high-growth technology companies, providing both capital and strategic operational support to scale global enterprises.
Hetz Ventures
Hetz Ventures is an early-stage venture capital firm focused on investing in seed and pre-seed startups in Israel, particularly in sectors such as dev tools, DevOps, AI, open source, cybersecurity, and fintech.
Grove Ventures Ltd
Grove Ventures is a leading early-stage venture capital investment firm with over half-a-billion dollars under management, partnering with exceptional Israeli entrepreneurs building the future of deep technology.
What's next for Deepchecks?
With this major enterprise-level funding, Deepchecks is well-positioned to scale its engineering and go-to-market efforts. The strategic roadmap likely involves deepening its LLM evaluation capabilities and expanding its footprint within the global enterprise sector. As the regulatory landscape for artificial intelligence continues to evolve, the company's emphasis on compliance and security will serve as a key competitive differentiator. Future growth will likely focus on enhancing the platform's integration ecosystem, allowing for seamless adoption within existing DevOps and MLOps workflows, thereby cementing its role as an essential component of the modern enterprise AI stack.
See full Deepchecks company page
