AI Foundry Ventures

The portfolio

Ten companies. Four verticals. One engine.

Each company has its own domain, market, and roadmap. The shared engine lives upstream — the agent workforce, compliance spine, and infrastructure reused across every one.

Vertical · Sports

Software and infrastructure for how sport is run, coached, and seen.

From the academy office to the bowler’s mark to the broadcast feed. FlikVault and SKrutin run cricket academies and AI video coaching; NoPixel reimagines sports broadcast as canonical reality infrastructure; The Gauntlet is an owned institutional fitness league; GimbalSport is forming in the foundry.

Pilot · agency partnersSport · Broadcast

NoPixel

nopixelsports.com →

Canonical reality infrastructure for sport. Capture reality once as a continuously-updated digital twin; let broadcast, officiating, analytics, betting, fantasy, and coaching all render from one authoritative truth layer.

₹4–12L
Per-event capture cost
10–20%
Of legacy OB cost
<60s
Failover
Case study
Live in AU & INSport

FlikVault

flikvault.com →

Sessions, attendance, billing, reports, parent comms, and AI video analysis — one platform, one source of truth. Built for academies in Australia and India, cricket-first by design.

6
Modules in one login
2
Continents, live
< 1wk
Onboarding time
Case study
Pilot cohort · 2026 seasonSport

SKrutin

skrutin.cricket →

Record on the iPad. AI slow-motion. Ball tracking. Biomechanics scoring. Claude-written coaching note. From bowler’s mark to parent’s phone in three taps — and offline-first at the nets.

240
fps slow-motion
3
Taps to player’s phone
∞
Offline-first at the nets
Case study
IncubatingSport · Fitness

The Gauntlet

in the foundry

An owned team fitness league — four-athlete squads representing their school, college, or university compete across a season, anchored by a Bengaluru open-air competition arena. The format IP and the venue, built to travel. (Working name.)

4
Athlete relay teams
25k
Sq ft open-air arena
School→Uni
Institutional pipeline
Case study

Vertical · Financial Services

Regulated rails, built for the markets that need them most.

India’s 1,500+ co-operative banks need a lending OS that speaks RBI, Kannada, and Finacle in the same breath. The Gulf–India corridor moves $280B a year on rails that haven’t changed in decades. CA firms still run compliance on spreadsheets. We build the institutional infrastructure — compliance-first, AI-native, deployable in weeks.

In productionFinancial infra

CortexData

cortexdata.ai →

Originate, manage, co-lend, and securitise on a single stack. Five composable modules, eight loan products, every RBI return — built ground-up for Indian banks, co-operative banks, and NBFCs.

8
Loan products on day one
5
Composable modules
EN · ಕನ · हि
Languages, equally
Case study
Q3 2026 production launchFinancial infra

Hundi

hundi.network →

A regulated, blockchain-native settlement venue for the Gulf–India corridor. Atomic settlement in seconds, FATF Travel Rule embedded at the protocol layer, RLUSD and ARC as the on-chain settlement assets.

3–5s
Atomic finality
100–150
Bps blended cost
$280B
Annual corridor flow
Case study
Pilot · paying-readyFinancial infra

LedgerVault

ledgervault.cortexdata.ai →

The compliance and engagement operating system for chartered-accountancy firms — Postgres schema, row-level security and tenant isolation baked in. Five firms ready to pay.

5
Firms ready to pay
v1.2
PRD shipped
RLS
Per-tenant isolation
Case study

Vertical · Marketing Services

Marketing run by an agent that answers to the unit economics.

Growth spend still flows on dashboards and gut feel. PRISM is an autonomous CMO that reads live demand, allocates spend against the unit economics, and tells you the truth when a channel doesn’t pay — built to operate, not just report.

Pilot · PujaroomCommerce

PRISM

prism.aifoundryventures.com →

An autonomous CMO agent for e-commerce — reads live demand, allocates spend against unit economics, and is honest when a channel doesn’t pay. Surfaced a 0.56× ROAS on ₹4.06L of Meta spend in its first audit.

0.56×
ROAS surfaced
6
Command views
Reddit
Demand radar
Case study

Vertical · Others

Consumer and emerging sectors forming in the foundry.

New sectors the engine is casting into. Breez is a WhatsApp-native AI chief-of-staff on a DPDP-compliant stack — shown for line of sight, honest about its stage.

Private betaConsumer

Breez

getbreez.in →

A WhatsApp-native AI chief-of-staff — runs your day from the chat you already live in, on a DPDP-compliant stack with per-user encrypted vaults.

WhatsApp
Native
DPDP
Compliant
GCP
asia-south1
Case study

At a glance