• What's the difference between the platform (AILA) and the engines?

AILA is a subscription-based one-stop shop for institutional analysis modules. Engines are the specific units/modules.

• Are the engines/platform ready for commercial use?

Yes, the made-to-order engines are ready for commercial use, and we usually include upgrades and maintenance too. The platform is available only to alpha clients who provide feedback as we are still constructing and debugging it.

• What can the engines be used for?

Clients provide use cases which we tune and build the engines for. Past use cases include scenario modeling, sensitivity analysis, Monte Carlo simulation, anomaly detection for risk in NPL portfolios, asset to macro analysis, lease document ingestion and securitization, accounting automation, correlation inversion detection, M&A risk prediction, fund performance prediction, private credit diligence automation, and more.

• How much does it cost and how long does it take?

It depends on your use case. We detail that in the quote but aim to include a 'phase one' deliverable in less than 6 weeks.

• Which data formats do you work with?

Tabular (XLS, CSV, and APIs - like Bloomberg, etc.), textual (PDFs), and soon drawings (floor plans, building zones, etc.)

• Which verticals do you work with?

All asset verticals within institutional asset management, but since our analysis is agnostic, we also look at industries like energy and biotech with similar needs.

• If we are not sure yet, do you engage on a consultancy basis?

Yes, we can work with reduced rates on a pre-contract consultancy basis for your AI model building, data analysis, data ingestion, data sourcing and statistical dashboarding needs .

• Are you looking for partners?

Yes. Primarily data partners and market partners who have an extensive pipeline of use cases.

• What happens to our data? Is it protected? Do the AI models learn from our data?

Your data is protected by traditional security protocols. For some clients, we offer all our engines and solutions (including the platform) as an on-premise installation on your local servers, which is a bit more costly. Our AI models won't learn from your data unless explicitly stated in our contract.

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