Where we are going

We believe in developing a vision, then a plan, defining the objectives and then delivering on time, every time. Our big, hairy, audacious goal is to build the most used – even celebrated platform – that facilitates your ability to plan, build, deploy, and measure software.

Our vision is to deliver happiness to the teams that build software that people will love.

We now have a clear point of view on AI in product development: AI tools are fast but they don't understand your product. They use the wrong terms, contradict prior decisions, and start every session from zero. We built Product Knowledge, AI Context, and MCP to fix that — so AI tools work from your product's actual vocabulary, decisions, and context. We still believe slapping AI labels on products does more damage than good. That's why we built something AI actually uses, not something we just market.

Now, a few quick facts about the future of Atono.

Yes and no.

We raised $4 million from a closely knitted group of investors who believe in our vision and capabilities. We’ll likely need to consider an A & B round to develop and grow faster. But each round comes at a real cost and an impact, so those decisions will be thoughtfully made at the right time.

Yes and no.

Goals and directives are more like it. On the spending side, the directive is to “be frugal” (e.g., conserve cash) unless it involves our people. We don’t ever want to be in a position where we need money, that would impact our velocity and my sleep quality. We aim to build a successful SaaS company with a unique revenue model – our financial goal is to eclipse $100m in annual recurring revenue by 2030.

We've moved past initial testing. Over 300 teams have signed up. We've shipped the Product Knowledge platform, launched partnerships with Techstars, Hustle Fund, and Plug and Play, and are now focused on scaling demand generation and proving the expansion path from Glossary to full platform. 

First and foremost, Atono must solve real problems.

We'll apply AI and other technologies where they add real value, but not to claim “AI” all over our marketing. We're accepting and aware that many teams build software differently than we do, so we're building capabilities to provide flexibility and speed, not an “our way or the highway approach”. We believe in the power of teams and collaboration, so we will stay focused on those capabilities. We also believe in and desperately want criticism of our service, the product, and the company. The goal of Atono is to provide core functionality for each function on a team: planning, building, deploying, and measuring software.

In 2026, we're building the product knowledge layer for AI-assisted development. The Product Glossary launched April 1. AI Context and in-product AI story writing ship in May. MCP connects it all to Claude, Cursor, and every AI tool your team uses. The goal: every AI session starts with your product's actual context — not from scratch.