What is Naia?
Naia is an AI-powered workspace built for one specific moment in product development:
The point where product direction is still flexible but decisions start to become expensive.
Most product teams don’t fail because they lack tools.
They fail because the most critical decisions are made early, when:
data is fragmented across systems
assumptions are implicit
trade-offs between cost, performance, and impact are hard to see
By the time “complete” data arrives, direction is already locked.
The gap Naia is designed to fill
Modern product development is well supported after decisions are made:
CAD tools refine designs
PLM systems manage execution
Reporting tools explain outcomes
But early on when teams explore options, compare directions, and align stakeholders most tools stop working.
That gap is usually filled with meetings, slides, emails and gut feel.
Naia is built specifically for that gap.
What Naia does (in plain terms)
Naia helps product teams explore, compare, and commit to product directions earlier with clarity instead of guesswork.
It brings together:
fragmented product data
expert knowledge
company-specific rules and constraints
…into structured product scenarios that teams can actually discuss and decide on.
Instead of asking “Which design is right?” too late, teams can ask:
What are our real options?
What trade-offs are we making?
What happens if we choose differently?
What Naia is not
Naia is not:
another design tool
a reporting or compliance solution
a replacement for engineers or existing systems
It sits before and between those tools helping teams make better decisions before commitment, rework, and cost escalation.
Why this matters now
Competition, cost pressure, and sustainability requirements are all increasing at the same time.
This means more constraints, less room for late surprises and higher cost of wrong early decisions.
Teams that can decide earlier with confidence move faster, waste less effort, and build better products.
That’s the problem Naia exists to solve.
In short
Naia is built for product teams that need to decide early when uncertainty is high, stakes are real, and mistakes are still cheap.