We’re thrilled to announce that we’ve co-led AIMonʼs Pre-Seed round alongside Bessemer Venture Partners. AIMon is addressing one of AI’s most pressing challenges: ensuring Large Language Models (LLMs) are safe, reliable, and enterprise-ready. Their platform empowers organisations to deploy AI confidently, mitigating risks like hallucinations, harmful content, and data leakage.

Markets with tailwinds

Generative AI is transforming industries at a breakneck pace, but deploying LLMs isn’t easy—one mistake in accuracy or safety can destroy trust and credibility. AIMon addresses this gap, providing the essential reliability layer enterprises need to adopt and build with AI confidently.

The generative AI market is expected to grow to $143B by 2027, with spending climbing at a staggering 73% annual growth rate. Regulatory frameworks like the EU AI Act are pushing organisations to prioritise transparency and safety, adding urgency to the need for reliable AI solutions. Yet, despite the massive opportunity, no major player owns the LLM reliability space—until now.

AIMon’s platform has the potential to be as indispensable to AI as Datadog has become to DevOps. It’s critical infrastructure for an AI-driven world.

Products that change the game

AIMon’s Hallucination Detection and Monitoring platform is the enterprise solution the AI world has been waiting for. It’s cutting-edge yet simple, designed to make AI deployment safe, scalable, and trustworthy. The platform delivers real-time insights, detecting hallucinations, toxicity, and sensitive data with low latency. It scales seamlessly on standard hardware, eliminating the need for costly infrastructure, and it’s customisable to meet the unique demands of enterprise applications.

By enabling organisations to deploy AI with confidence, AIMon transforms LLMs from experimental tools into dependable engines for innovation. This isn’t just a product; it’s the backbone of AI reliability.

Founders that hustle

AIMon’s co-founders, Puneet Anand and Preetam Joshi, are a powerhouse duo with a track record of delivering transformative technology. Puneet scaled multiple monitoring products at AppDynamics to $150M+ ARR, earning his reputation as a builder of must-have enterprise tools. Preetam, meanwhile, was instrumental at Netflix, where he co-created Metaflow, an open-source ML framework that’s still shaping the AI landscape for companies like Netflix, Intel, Porsche, and Goldman Sachs.

With their combined expertise in building scalable ML systems and solving hard technical problems, Puneet and Preetam are more than capable—they’re primed to lead AIMon to success. They don’t just build; they execute, iterate, and adapt with incredible speed.

A compelling business model

AIMon’s initial go-to-market strategy focuses on B2B sales, targeting enterprises that urgently need reliable AI tools. Over time, the team plans to target users bottoms-up, fostering a community-driven adoption model that scales.

Starting with monitoring, AIMon creates an indispensable wedge in the AI stack. As the platform evolves into a comprehensive evaluation and improvement layer, it becomes a key driver of enterprise AI performance. This dual approach positions AIMon to build a defensible, scalable business in a rapidly growing market.

The Seed phase and beyond

With its funding, AIMon is laser-focused on getting market traction for its product, converting warm leads into enterprise customers and growing its engineering team. Their goal is to prove product-market fit and achieve significant ARR within 18 months, paving the way for further growth.

AIMon isn’t just building a product—they’re creating the foundation for trustworthy AI at scale. As generative AI adoption accelerates, AIMon is perfectly positioned to lead the charge, making safe and reliable AI a reality for enterprises worldwide.

Thanks to Samadhi Pelenda for her help in drafting these notes.

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