Moative orchestrates AI transformation for fast-growing mid-market companies in traditional industries on a risk-reward model.
We built, scaled, sold, & integrated data-centric companies. We have been in your shoes and your investors’.
If we believe that you have the best shot at winning with AI, we bet our dollars on your AI initiatives.
Your company should be at least $10M in revenue.
Your founders should be directly involved in the initiatives from Day 1
Your board will approve signing at least a 3-year binding partnership.
Note: We choose whom to bet on, to manage our portfolio risk.
Moative is a builder. Our 'Build DNA' comes from our history of having built and sold product companies, in artificial intelligence.
Why this project?
Cost take out or growth or both?
Will we both make money?
What will give business & board the confidence?
Does this deliver a moat that is hard to compete with?
How do we assess platform, tech, market, and pricing risks?
Ph.D’s & Researchers from globally renowned labs
Founders with multiple, successful exits
How do we staff?
How do we bill change requests?
How do we finish delivering in time?
Run by PMs who have never built a business
Don’t understand moats. It’s not in their line of sight.
No intellectual depth (or) will stick to self-serving advice
Data scientists & their managers with no real business experience
Project leaders. Not risk takers
AI is more like electricity & less like software. You need co-innovators who stick their necks out & make AI deliver. As such, what experience do consulting firms claim to have about how AI changes your industry, other than powerpoint slides?
Not Statements of Works.
Not Change Requests.
We start with your board agenda, shape your AI vision, data strategy, and orchestrate AI transformations that deliver the first proof of business transformation you promised – in 90 days.
From messy data to the live, AI use cases – in 90 days. Moative's platform-led data science model rollout approach.
90 days for transforming data
90 more to pilot
180 more for roll out
30 days for transforming data
60 days to use case pilot
90 days to customer go live
AI agent design has three parts – the primitive skills for the job, the domain know-how retention, the tools access and usage. But knowing this is not the same as designing well.
Moative understands the limitations of agentic orchestration – in multi-step reasoning, controls & fall-backs, testing, observability of actions and more.
The right design balances ambition with outcomes that can be consistently delivered.
Moative thinks deeply about AI's role in real-world problems. Their execution of AI transformation ideas is sharp.
Tim Werle
CEO & Fusion Center Manager
Data engineering. Process engineering. Statistical modelling. Machine learning. AI orchestration. Agentic workflows & apps.
