Category
AI Product Systems
AI features, agent workflows, and reasoning layers built into products people rely on every day.
assistants / automation / product intelligence
Systems portfolio
Products built for live signals, real decisions, and operational trust
The SIRIS portfolio spans safety, trading, autonomy, and consumer AI. Every product is designed around the same idea: software should help people interpret live conditions and act with confidence.
Category
Trading Platforms
Execution and risk systems for live markets, with regime awareness, broker connectivity, and operator control.
strategies / execution / risk control
Category
Decision Engines
Real-time software that watches live inputs, evaluates state continuously, and triggers the right next action.
events / scoring / low-latency decisions
Category
Product Infrastructure
The orchestration, tooling, and service layers that make AI products reliable, extensible, and maintainable.
tooling / orchestration / platform design
System 01
Mamaloo
mamaloo.appA consumer AI assistant that helps families plan, coordinate, and act without adding more screen fatigue.
Mamaloo delivers personalized briefings, voice conversations, capture-to-task workflows, meal planning, budget tracking, and guided routines through a plugin-based AI architecture. Built mobile-first in React Native with streaming responses and device-native capture.
Family assistantVoice workflowsMobile-firstCapture inboxMeal planningPlugin architecture
By the numbers
13
AI features
6+
MCP plugins
iOS + Android
Platforms
Operational layers
Daily briefings
voice interactions
routine automation
Consumer AI designed to feel calm, useful, and dependable.
System 02
Raksha
A safety platform that turns location, incident, and emergency data into faster protective action.
Raksha combines one-tap SOS, live GPS broadcasting, incident heatmaps, safe-route planning, anonymous reporting, and encrypted evidence handling inside one coordinated safety workflow.
Incident responseLive GPSSafe routingGeospatial scoringEncrypted evidencePlugin architecture
By the numbers
30+
API endpoints
9
MCP plugins
4
Safety phases
Operational layers
SOS alerts
risk heatmaps
route safety scoring
Safety designed as a product system, not a feature list.
System 03
Institutional Auto Trading Engine
A regime-aware trading platform built for disciplined execution, portfolio control, and operator oversight in live markets.
The platform combines multiple strategies, market-state classification, copy-trading controls, broker integrations, and a full monitoring dashboard so operators can automate without losing control.
Multi-strategyRegime detectionCopy tradingBroker integrationsRisk controlsOperator dashboard
By the numbers
11
Trading strategies
10
Regime states
9
Backend modules
Operational layers
11 live strategies
regime detection
operator dashboard
Automation with operator visibility and risk discipline built in.
System 04
BankNifty Trading Engine
An event-driven options trading engine designed for speed, sequencing accuracy, and controlled execution.
It pairs options analytics, ordered event processing, per-user execution queues, and broker abstraction into a single system built for volatile market conditions.
Options executionOrdered eventsGreeks enginePer-user queuesBroker abstractionRisk gates
By the numbers
13
Maven modules
5
Options strategies
20
Flyway migrations
Operational layers
5 options strategies
ordered processing
Greeks computation
Architecture that protects execution quality under pressure.
System 05
ZeroTrade AI
An autonomous options platform where AI agents, market structure signals, and execution safeguards work together on one decision surface.
The system combines specialist AI agents, multi-timeframe technical context, volume-spike detection, protective orders, and restart-time reconciliation so automated trading stays bounded by controls.
AI agentsMarket contextVolume signalsProtective ordersStartup checksWebSocket feed
By the numbers
4
AI agents
4
S&R timeframes
4
Max positions
Operational layers
4 AI agents
4 timeframes
safety controls
Autonomy with guardrails, visibility, and recovery built in.
Engineering depth
Patterns shared across every SIRIS product
reliable application cores
Backend Platforms
Robust backend services with clear module boundaries, dependable runtime behavior, and room to grow as products scale.
useful AI in production
AI Product Orchestration
LLM-powered workflows, tool routing, and agent logic designed for predictable product behavior rather than one-off demos.
continuous decision loops
Streaming Systems
WebSockets, event pipelines, and live state propagation tuned for products where latency and timing change outcomes.
signal to decision
Geospatial Intelligence
Location data, safety scoring, and analytical reasoning combined into outputs that help users act with confidence.
trust under pressure
Reliability Engineering
Recovery, monitoring, reconciliation, and failure-aware execution patterns treated as core product behavior, not later add-ons.
clarity over theatrics
Product-Grade Interfaces
Calm interfaces backed by serious architecture, so the product stays understandable even when the system underneath is complex.
Engage