Who we are

We are a product company architecting India’s next commerce infrastructure

Vishvakta is not a services shop or a feature factory. We own the full stack, from catalog through fulfilment, payments, personalisation, and platform operations, as one cloud native product architected to learn, compound, and scale in production.

Full stack platform ownership Precision engineered architecture Intelligence built into the core India rooted, India built

Business value

A platform built as a long term business asset

Every architectural choice is aimed at compounding capability: more traffic and catalog depth should improve economics and speed, not add proportional cost and fragility.

Scale without reset

New categories, channels, and workflows extend the same foundation, avoiding repeated rewrites as the business grows.

Predictable unit economics

Cloud native design, capacity discipline, and observable systems keep operating cost aligned with revenue as volume increases.

Data as operating leverage

Transactional and behavioral data feed product, merchandising, and operations decisions, not slide decks.

Solutions

What we build and operate

Capabilities are productized into the platform: integrated domains that work together under shared reliability, security, and release practices.

Commerce core

Catalog, pricing, cart, orders, payments, and fulfillment as independently scalable domains with event driven coordination and clear ownership boundaries.

Cloud & platform engineering

Compute, networking, CI/CD, and observability engineered for frequent change, traffic spikes, and safe rollouts, not one time migration projects.

Data, search & discovery

Real time pipelines and search that support merchandising, operations visibility, and customer experience at growing catalog scale.

Trust & security

Identity, encryption, compliance controls, and continuous monitoring embedded across services, designed for regulated, high trust commerce.

AI platform

Intelligence embedded where signals are densest

Models run in production paths with latency, audit, and cost constraints, not as demos. Learning loops connect usage data back to ranking, personalization, risk, and operations. See how intelligence is built into the platform.

Commerce & discovery: search ranking, recommendations, and journey optimization over live catalog and behavior.
Customer experience: cross session personalization and content adaptation without brittle rule trees.
Payments & risk: anomaly detection and signal enrichment on high throughput transaction streams.
Platform operations: forecasting, anomaly detection, and context aware alerting across distributed telemetry.

Engagement & execution

How we work as builders

Research led, architecture first delivery, with ownership end to end and iteration grounded in production evidence.

Research before build

Problem spaces, scale limits, and operational constraints are understood before large implementation commitments, reducing costly reversals later.

Ownership & boundaries

Teams own domains with explicit contracts and data flows so the platform can evolve without losing clarity or control.

Evidence driven iteration

Load tests, canaries, and production metrics drive the next change, not assumptions frozen at launch.

What we avoid

Short lived features without foundation, outsourced core ownership, and tooling adopted without long term operational cost in view.