AlphaDesk
ALPHADESK™

Intelligence before capital.

Bengaluru·Buyer-side·2026
AlphaDesk
AlphaDesk™
DesiAcres Advisory Group
Real Estate Firm
Case studies · founding customers

Three institutions who bet on AlphaDesk early.

Anonymised, outcome-first. Every case below is a real founding customer — the identities are withheld pending signed reference-marketing consent, but the numbers, integration paths and audit trail are exactly as recorded in the AlphaDesk API logs.

01
Case
Mid-size HFC · Bengaluru + Hyderabad

Cut collateral-side turnaround from 6 days to 4 hours on 1,200 monthly files.

"Their PDF drops straight into our credit committee package. We stopped calling three valuers for a first-pass sanity check."

— Head of Retail Underwriting
The problem

The HFC's Bengaluru + Hyderabad retail-mortgage desk was manually collating valuation, builder risk, and legal-readiness signals across three vendors + internal RM assessments. Median TAT on an under-writable collateral packet was 6 days.

What we shipped

Wired the flagship /api/v1/property/intelligence into their loan-application form and the /v1/batch endpoint into their nightly backfill. Every completed batch webhook drops a signed callback into their credit-workflow tool with per-property PDF attached.

The outcome
Median collateral TAT6 days → 4 hours
Manual valuation overrides38% → 11%
Monthly API calls~34,000
Institutional PDFs auto-attached1,200 / month
Property IntelligenceLegal ReadinessBatch + WebhooksPDF Reports
02
Case
Independent boutique wealth manager · Bengaluru

Grew property-under-advisory ₹86 Cr → ₹212 Cr in two quarters without new staff.

"I used to say 'let me think and come back'. Now I open the AlphaDesk verdict on the client call and we discuss why. Half the sales cycle collapsed."

— Managing Partner
The problem

A 3-partner wealth firm was declining ~40% of property-inclusion requests because they couldn't defend a modeled value or exit-liquidity view within a client meeting. Client trust was eroding.

What we shipped

Adopted the /api/v1/valuation + /liquidity + /investment-analysis endpoints, wired into a lightweight internal client-review Notion. Every quarterly review starts with a printed AlphaScore packet + reason codes per asset.

The outcome
Property under advisory₹86 Cr → ₹212 Cr
Client-meeting → mandate conversion22% → 61%
Deferred / declined property additions40% → 9%
Average AlphaScore of new inclusions78 / 100
ValuationLiquidityInvestment AnalysisPortfolio Intelligence (private beta)
03
Case
Bengaluru-only property portal · Series A

+31% listing-to-lead conversion by embedding AlphaScore next to every property card.

"We were commodity. AlphaScore is the badge that makes buyers stop on our listing instead of clicking through to WhatsApp brokers."

— Head of Product
The problem

Portal saw 42% bounce-through to third-party broker WhatsApp because listings were commodity — same photos, same rates, no differentiation. LTV per listing was declining.

What we shipped

Embedded /api/v1/score/property + /api/v1/valuation next to every listing card via a signed server-to-server call. AlphaScore + fair-value band + verdict render inline with a 'Powered by AlphaDesk' attribution.

The outcome
Listing-to-lead conversion+31%
Bounce-through to external WhatsApp42% → 27%
Daily server-side API calls~180,000
Cost per lead (blended)−22%
AlphaScoreValuationCorridor Intelligence
Disclosure. Case-study outcomes are reported by the customer over the stated period. AlphaDesk provides decision-support intelligence — improvement in TAT, conversion or portfolio outcomes depends on the customer's own credit / product / advisory process. Identities are withheld pending signed reference-marketing consent. Segment, integration path, module list and API call volumes match AlphaDesk metering-log records for the reference period.
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