We’ve seen this story play out countless times: enterprise leaders are flooded with data - charts, logs, reports - yet still struggle to make confident decisions. Not for lack of information, but for lack of insight and, more critically, a lack of orientation toward the problem. Decisions are too often guided by gut instinct or fragmented anecdotes, not by a unified, data-backed understanding of what’s truly happening.
In complex enterprise IT environments, where systems span software, hardware, cloud infrastructure, and human processes, understanding how assets interact, where bottlenecks form, and how risks propagate remains elusive. Every system produces data. Every team builds reports. But the business? Too often, it’s running blind.
That’s why we started Asato.
The name “Asato” comes from a Sanskrit phrase meaning “from darkness to light, from unreal to real” a transformation mirrored also in Japanese etymology. It speaks to our founding belief: that clarity is not a matter of more data, but of better understanding. We’re not here to add another dashboard. We’re here to illuminate what matters.
We call this shift Business Observability.
Modern enterprises are drowning in dashboards:
And the CIO’s office? Juggling a dozen disconnected tools, each optimized for a silo, none telling the whole story.
Imagine a CIO asking a simple question: “Why did our SaaS spend spike 18% last quarter?”
Too often, the answer requires:
It’s not just inefficient. It’s fragile, reactive, and fundamentally unscalable. The legacy analytics stack (BI tools, static reports, hardcoded pipelines) was built for a world where data was structured, predictable, and controllable. But today’s world isn’t static. Teams re-org. Risk surfaces shift. AI agents are working alongside human employees. IT systems and ecosystems evolve by the week.
And, when your questions evolve faster than your tools, the business gets left behind. An OODA (Observe, Orient, Decide, Act) Loop with a missing orientation step. When "orientation" fails, the rest of the OODA loop falls apart.
Business Observability is not a prettier dashboard. It’s not just visibility. It’s about asking the questions that matter, like a human would, and getting answers that are current, contextual, and actionable. Questions like:
At Asato, these answers emerge from rich metadata: usage, cost, access, lineage, and context. All brought together by a system designed for clarity. We’re not retrofitting BI analytics or rebranding reports. We’re building a new cognitive layer that understands operational reality and recommends intelligent next steps.
We don’t believe in replacing people with AI. We believe in augmenting human judgment, scaling best practices, and eliminating blind spots. We’ve built Asato to be powerful without being overwhelming. At its core we are:
All of this is grounded in a 100% cloud-native stack, built with Kubernetes principles for modularity, scalability, and multi-tenant isolation. We integrate with commercial and open-source technologies: Vector databases and graph stores, LangGraph, agentic interfaces (MCP/A2A), and LLM APIs. We’ve designed our stack with AI not as an accessory, but as infrastructure.
This isn’t AI as a bolt-on. It’s AI as backbone, supporting the entire journey from question to insight to action. That means:
Business Observability isn’t just a product. It’s a mindset shift, from reactive firefighting to confident navigation.
This is just the beginning. In the coming weeks, we’ll share more on how we’re building the Asato platform:
Business Observability isn’t a better version of the old world. It’s the beginning of a new one.
This is the future we’re building at Asato.