About
Built across the deal cycle, to turn expert judgement into a repeatable method.
CarveOutIQ is pre-IC carve-out risk software for private equity. It was built by a practitioner who has worked on carve-outs at every stage, from pricing them in diligence to delivering them on Day 1.
Sachin Chopra, founder
Sachin has spent more than 18 years on deals from diligence to Day 1, across chemicals, FMCG, healthcare, telecoms and retail.
He has priced separation risk as operational due diligence for private equity buyers, and then lived it: leading separation programmes, designing and exiting TSAs, separating ERPs and getting standalone businesses ready for Day 1.
CarveOutIQ encodes what he looks for on every carve-out, so the same questions get asked, scored and priced on every deal.
Pre-deal
Operational due diligence
Carve-out and operational diligence for a PE fund buying a global FMCG business.
Separation
Carve-out execution
A listed chemicals group's separation: more than ten legal entities, over $10bn in aggregate sale value, three buyers in parallel.
Separation
Separation management
Separation management offices, TSA design and exit, ERP separation, Day 1 readiness and standalone operating models.
Buy side
Integration
Post-acquisition integration for a global medtech acquirer: the other side of the deal.
Why CarveOutIQ exists
On most carve-outs, separation risk reaches the investment committee as narrative: a list of concerns and a sense of difficulty. The cost of that risk arrives later, after signing, when price and terms can no longer move.
Today that judgement lives in fragments: adviser reports, in-house spreadsheets rebuilt for each deal, and the experience of whoever is in the room. CarveOutIQ brings it into one method that puts a number on the risk before the IC decides, the same way on every deal.
How the method is built
- Nine separation dimensions, scored from the diligence the deal team already has.
- A fixed set of rules and calculations: the same inputs always produce the same figures, and no AI model processes deal data.
- Outputs a deal team can check: three indices, exposure in £m split into one-off cost and EBITDA leakage, and the issues behind them.
- Benchmarks will strengthen as more deals are assessed, with client agreement and only from anonymised, derived figures.