Our thesis
The hardest step isn't the idea or the build.
It's getting to market.
Ideas are cheap
Lots of people have good ideas, and AI can now help anyone generate and sharpen them. A good idea on its own no longer sets you apart.
Building is fast
AI has made building faster and more accessible. Websites, marketing material, MVPs and even solid applications can be built in days. Building isn't the hard part anymore.
Traction is everything
The hard part is getting to market. You need to reach the right buyers, test and pivot until the proposition lands, and create real traction. Great products die from a lack of distribution, not a lack of features.
Prove it, then scale it
Before you scale, you want proven results, so you know you're scaling real traction and not hope. Test and refine come first. Scale comes second.
The commercial case
Why test a new proposition fractionally?
Lower cost to learn
No new hires, onboarding or tooling before you know the proposition works. You pay for a test, not a department.
Faster market signal
A ready team and engine start in weeks. AI runs many motions in parallel, so you learn what works sooner.
Protect the run business
Your core sales team stays focused on what already sells, instead of being stretched across unproven ideas.
Proof in signed deals
We test until real contracts are signed, so a go decision rests on revenue, not on likes or meetings.
Stop cheaply, pivot quickly
If a proposition doesn't land, you find out early, and the cost of stopping stays small.
Scale on evidence
When traction is proven, you know which ICP, message and motion work, ready to scale or move in-house.
That's why we built enada.ai: an engine that takes a new proposition from idea to signed customers. AI gives it speed and scale. A team of AI engineers, a growth lead and an experienced BDR gives it judgement, and closes the deals.
Our credibility comes from Datashift, where we do nothing but data and AI projects.