Field Note  ·  01  ·  The House

Radical. Rapid. Rad.

Radstack Tech Ventures Private Limited is a Chennai-based engineering house building the technical operations behind our own ventures — a fintech platforms business and an AI-driven medtech research arm. We hire quietly, ship aggressively, and treat every product surface as an R&D surface.

§ 02 / Philosophy

Three letters. One operating principle — move like research,
ship like production.

// R1   Radical

Unconventional by default.

We start by interrogating the received wisdom of our verticals. If an industry has been building the same way for ten years, that's a reason to look closer — not a reason to copy.

Bias: against mediocre consensus.
// R2   Rapid

Research compiles to shipped code.

Time-to-first-deploy is a first-class metric. We run on tight loops: prototype in days, production in weeks, iterate in hours. Latency between idea and infrastructure is the enemy.

Latency, minimised.
// R3   Rad

Technical taste, non-negotiable.

Correct, but also clean. Fast, but also legible. We build systems we'd want to read on a Sunday — in regulated domains where most people settle for "it works."

Craft, observable.
§ 03 / Ventures

Two verticals. One engineering culture.

Radstack is the operating entity behind our product bets. Fintech on one side: platforms for regulated capital. Medtech on the other: applied AI for clinical and research workflows. Both demand the same thing — deep domain fluency and systems that don't flinch under audit.

// VENTURE_01 Fintech Platforms
AIF · Capital Markets · Orchestration

Status
Actively engineering

Platforms for regulated capital.

We build the workflow and data infrastructure that Alternative Investment Funds and capital-markets teams actually need — investor onboarding, mandate accounting, reporting, reconciliation, and the long tail of compliance glue that most shops cobble together from spreadsheets. Our thesis: the fintech stack for AIFs should feel as sharp and fast as the best consumer software.

  • Investor & KYC orchestration
  • Fund accounting, NAV & reporting
  • Capital call & distribution flows
  • Data room + audit trails
  • Integrations with custodians & registrars
// VENTURE_02 Medtech R&D
Applied AI · Clinical Research · Diagnostics

Status
Research phase

AI where it actually matters.

A research arm applying modern machine learning — LLMs, vision models, structured inference — to problems that look like research but ship like products. Clinical documentation, diagnostic assistance, study operations, longitudinal data modelling. We care about the quiet infrastructure behind medicine, not the hype layer in front of it.

  • Clinical & research data modelling
  • Vision + language systems for diagnostics
  • Study operations & workflow automation
  • Privacy-preserving pipelines
  • Interop with hospital + lab systems
§ 04 / Careers · Status_Open

The lab is hiring engineers who ship.

Radstack is how we hire and run our development team. We're assembling a small, hard-to-find group of engineers and applied researchers — people who can design a system on a whiteboard on Monday and have users on it by Friday.

We optimise for range. Strong generalists who go deep when the problem demands it. Comfortable with ambiguity. Allergic to ceremony. Interested in finance and medicine and the mathematics that undergird both.

If that sounds like you, skip the cover letter — send a repo, a paper, a thing you built, and tell us what broke while you were building it.

Platform EngineerOpen
ML / Applied ResearchOpen
Full-stack (Senior)Open
Product DesignerOpen
Data / InfraRolling
InternshipsSelective