Qualitas Limited
In-house AI platform supporting private credit assessment
Qualitas built its own AI platform to check the numbers behind real estate private credit decisions
Problem
Each Qualitas investment involves at least 160 documents, more than 370 verifications and checks, and about 400 data points and metrics calculated by the team.
Approach
Qualitas built an AI underwriting support platform in-house, announced on 26 June 2026. AI systems check the roughly 400 metrics the team calculates and then recheck them. The platform supports investment assessment, decision support and analytical insights. Decisions stay with the investment team, and an executive said the firm was not handing decision making to machines.
Results
No published figures
Takeaway
Qualitas used AI as a second check on figures people already calculate. It expects benefits to fund management margins and earnings growth and gave no numbers for them.
Categories
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Built in-house
- Evidence
- Press reporting
Sources
Source summaries
Capital Brief reports Qualitas's in-house AI platform for private credit underwriting. It gives the per-investment workload of 160 documents, 370 checks and 400 data points, and says humans keep the decisions. Margin and earnings benefits are expected and not quantified.
Full details are in the original sources.