Intelligence,
beautifully engineered.

One codebase, two native apps

A single mobile web app is wrapped by a native SwiftUI/WKWebView iOS app and a native Kotlin/Material 3 Android app — one codebase, both stores.

Headless architecture

The storefront is decoupled from the backend: a PHP layer serves WooCommerce data over an API, so the site and both apps render the same catalogue independently.

Native bridge

The native shells add push notifications (FCM — separate deals and orders channels), an in-app notification history synced back to the web, file upload, geolocation and validated deep links.

Config-driven storefront

Homepage sections, data sources and delivery tiers are configuration — the storefront reshapes without touching component logic.

Installable & resilient

Cookie persistence keeps users signed in across launches; pull-to-refresh, offline retry and HTTPS-only transport keep it robust on any connection.

// one web app, detected inside each native shell
if (ua.includes("MangoraMartAndroidApp")) enableNativeBridge();
if (search.has("mm_ios_app")) skipWebSplash();

// native → web bridge: push history, uploads, geolocation, deep links
bridge.on("notification", (n) => notificationBell.push(n));

No-code strategy builder

Design options strategies visually from 29+ templates — no code required.

Backtesting engine

A Python engine backtests strategies over historical data using Black-Scholes synthetic pricing.

Live & paper trading

Deploy to live or paper trading through broker APIs, with real-time execution streamed over sockets.

Conversational agent

A GPT-4o function-calling agent reads live market data and generates ready-to-trade strategies; Claude handles structured reasoning.

Production infrastructure

PostgreSQL + Prisma, Redis + BullMQ job queues, authentication and billing built for scale.

// ask the agent for a strategy in plain language
const strategy = await tradeai.agent.design({
  market: "NIFTY",
  intent: "bullish with capped risk this expiry",
});
// → returns a ready-to-backtest options strategy
await tradeai.backtest(strategy, { pricing: "black-scholes" });

One agent per department

Finance, Sales, Marketing, Engineering, Operations, Customer Success, HR and Legal each have one permanent, accountable AI Agent.

Orbit AI, one interface

A single company-wide assistant routes questions to the accountable department agent, or combines governed findings across departments.

Governed capabilities

Agents gain capabilities — workflows, analyses, responsibilities — that can never exceed their delegated authority.

Deterministic + generative

Deterministic services compute the figures; the model summarises and recommends from an approved evidence packet — it never invents numbers.

Connect → Capabilities → Goals → Automate

Connect approved systems, grant capabilities, confirm goals, and the agent works automatically within its authority.

// every department has one accountable agent
company.department("finance").agent // "Ledger"
  .grant(["revenue", "vat", "reconciliation", "refunds"])
  .connect("woocommerce")
  .authority("read-only"); // capabilities never exceed authority