IncubatingSport
GimbalSport
gimbalsport.com →A sports venture currently being scoped inside the foundry. Detail and metrics will be published as it leaves incubation.
Case studyVenture studio · Bengaluru · LLPIN ACU-2491
The company factory run by agents.
AI agents just became a workforce. We built a venture studio around that single fact — it ships production-grade companies in 2–4 weeks, and the studio holds founding equity in every one.
A portfolio across sport, financial services, marketing, and emerging consumer — built by a small human core and an agent workforce, on one shared, compliance-first engine.
- 10
- Companies in the portfolio
- 4
- Verticals
- 2–4
- Weeks per company
- 4
- Human core · + agents
Companies
10
Verticals
4
Time to a company
2–4weeks
Human core
4+ agents
Engine
1shared
The portfolio · already cast
Ten companies, four verticals, one engine.
Each is a standalone company with its own domain and roadmap — and a founding stake the studio holds.
Sports
Software and infrastructure for how sport is run, coached, and seen.
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
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
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
IncubatingSport · Fitness
The Gauntlet
in the foundryAn 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
Financial Services
Regulated rails, built for the markets that need them most.
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
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
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
Marketing Services
Marketing run by an agent that answers to the unit economics.
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
- Demand radar
Others
Consumer and emerging sectors forming in the foundry.
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.
- Native
- DPDP
- Compliant
- GCP
- asia-south1
How the studio works
Read the full thesis →One engine that casts companies — and compounds with every one.
01
An agent workforce builds the companies.
Spec, build, review, ship — agent crews turn a regulated problem into deployed, observable code in a single sprint. Not Figma files and decks. Running companies.
02
Compliance is the spine, reused every time.
RBI, ADGM, DPDP, federation standards — the regulatory grounding is shared infrastructure, so every new company inherits a compliance-first foundation instead of rebuilding it.
03
Every company makes the next one cheaper.
Shared infrastructure, a library of agent crews, and a common spine mean each company starts further ahead — lower cost, shorter sprint, higher hit-rate. That compounding is the moat.
Working with us
Partner with the studio, or put a company through it.
We take a small number of new engagements at a time. Most are referred.
If you operate in a regulated or high-trust market — sport, financial services, marketing, or an adjacent vertical — and you have a real platform problem worth solving in weeks, we should talk.