Your portfolio, with AI that operates.
We implement AI operationally across your portfolio companies. Not as an outside consultancy - as an embedded team that works under your structure and gives the fund visibility into progress.
The funds that add the most value now have AI across the portfolio.
The question is no longer whether to implement AI. It's who does it in an orderly way, company by company, without relying on each operator to solve it alone.
Each portco solves it on its own
Without a common model, results are inconsistent and the fund loses visibility.
The operator absorbs the burden
In mid-sized companies, the CEO or the small team doesn't have the capacity to evaluate, decide, and implement all at once.
The fund can't differentiate itself
Capital is no longer enough. LPs and founders look for funds that show up with something concrete in hand.
We’re not a portfolio vendor. We’re part of the fund.
We operate under your structure. The fund presents ataraxy as its AI arm - what it can offer each company without building that team in-house.
We identify what makes sense to implement in each company based on its sector and operating stage, we execute with the team already there, and the fund has visibility into progress at all times.
- Operational diagnosis per company
- Definition of use cases with real impact
- Implementation with the operating team
- Progress reporting to the fund
- Support throughout the investment cycle
- Consultants who hand over a report and leave
- A tech platform or software reseller
- A team of pilots with no continuity
- A resource the operator has to manage
- An 18-month project with no visible results
The first four weeks in each portfolio company.
We move in fast, learn the operating context, and define what to implement. No months of discovery. No consultants who never execute.
Operational diagnosis
We map the company's key processes. We identify where AI can move the needle within the current investment cycle.
Prioritization with the fund
We present the use cases to the GP or operating partner. We align expectations and metrics before executing.
Initial implementation
We execute the first use case with the company's team. We iterate within the same sprint, not the next quarter.
Reporting and continuity
The fund gets visibility into progress. We define the plan for the next portfolio companies.
We scale with the portfolio, not with consultants.
The size of the engagement depends on how many companies are active and at what operating stage. There are no fixed-cost projects disconnected from the fund's reality.
One company, one objective
For funds that want to validate the model with a single portfolio company before scaling.
Three to five companies in parallel
An embedded team operating across multiple portcos with consolidated reporting to the fund. The standard model.
An AI program for the entire portfolio
For funds that want to offer AI as part of a structured value proposition to all their portcos and LPs.
Operational experience, not just AI knowledge.
Experience running operations
The team that goes into each company has experience running operations, not just designing strategies.
An embedded team, not consultants
We operate within the fund's structure. Each company's operator works with us, not manages us.
Results within the investment cycle
We don't design three-year roadmaps. We execute within the fund's holding horizon.
Visibility for the fund
The GP has clarity on what is being implemented in each company and how it's progressing - without depending on each operator to report.
Non-tech sectors included
Experience implementing AI in services, logistics, healthcare, and education companies, not only in tech startups.
Work with teams that execute, not present.
"Federico and the ataraxy team helped us rethink how AI fits into our operations - not as a tool to try, but as a layer to build on. They worked directly with our team and moved fast."
Want a fixed-price proof point first?
Run an AI Sprint inside one portfolio company - a production AI system in 6 weeks, fixed price - then scale what works across the fund.
A short conversation to see if it makes sense.
No demo, no generic pitch deck. A call to understand your portfolio and explain how the model works in practice.