SIRIS Systems

Production-grade AI systems for live environments

SIRIS builds software for safety, finance, and consumer products where the system has to interpret signals, make decisions, and help people act with confidence.

Safety productsTrading systemsConsumer AIAI infrastructure
Active Products05 Product Systems
Safety
Incident response
Markets
Execution automation
Agents
Tool orchestration
Consumer AI
Family workflows
Operating Model
How SIRIS Ships
Shipping
Data68%
Reasoning84%
Automation52%
Reliability91%
How The Products Work
Capture live signals
Turn state into decisions
Trigger the right next action
Delivery Focus
AI featuresIn product
Decision flowsReal time
ReliabilityBuilt in

We build products where software has to interpret live conditions

The products span safety software, trading infrastructure, autonomous execution, and consumer AI. What connects them is a simple standard: clear product thinking, strong systems design, and dependable behavior in production.

Four areas of product depth

SIRIS builds across four recurring product patterns: AI-native experiences, trading platforms, decision engines, and the infrastructure that makes them reliable.

AI Product Systems

AI features, agent workflows, and reasoning layers built into products people rely on every day.

assistants / automation / product intelligence

Trading Platforms

Execution and risk systems for live markets, with regime awareness, broker connectivity, and operator control.

strategies / execution / risk control

Decision Engines

Real-time software that watches live inputs, evaluates state continuously, and triggers the right next action.

events / scoring / low-latency decisions

Product Infrastructure

The orchestration, tooling, and service layers that make AI products reliable, extensible, and maintainable.

tooling / orchestration / platform design

Products built around real operational problems

Each product below exists to solve a concrete problem in the wild, with the architecture, control surfaces, and reliability patterns that problem demands.

System 01

Mamaloo

mamaloo.app

A 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
Consumer AI designed to feel calm, useful, and dependable.
production-grade
13
AI features
6+
MCP plugins
iOS + Android
Platforms
☀️Morning briefing

“You have 3 events today. Dentist at 2pm, school pickup at 3:15. Stress score is 6.2 — consider a lighter evening.”

Stress 6.2
Active plugins
☀️Briefing
🍽️Meal Planner
💰Budget
📋Routines
📸Capture Inbox
🎙️Voice
01
Daily briefings
02
voice interactions
03
routine automation
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
Safety designed as a product system, not a feature list.
production-grade
30+
API endpoints
9
MCP plugins
4
Safety phases
Safety heatmap
Low riskHigh risk
SOS active
GPS broadcast live
Contacts notified via SMS
Authority dispatch ready
01
SOS alerts
02
risk heatmaps
03
route safety scoring
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
Automation with operator visibility and risk discipline built in.
production-grade
11
Trading strategies
10
Regime states
9
Backend modules
Regime stateTrend
ADX 28.4ATR 142
Copy-trade fan-out
Source signalA-grade
Follower 01Multiplier 1.5×
Follower 02Capital ratio
Risk isolationIndependent
01
11 live strategies
02
regime detection
03
operator dashboard
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
Architecture that protects execution quality under pressure.
production-grade
13
Maven modules
5
Options strategies
20
Flyway migrations
Event pipeline
MarketDataEvent@Order(10)
RegimeEngine@Order(10)
StrategyEngine@Order(20)
ExecutionQueueFIFO/user
Greeks engine
Delta0.42
Gamma0.018
Theta-12.4
Vega8.6
IV Rank68th %ile
01
5 options strategies
02
ordered processing
03
Greeks computation
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
Autonomy with guardrails, visibility, and recovery built in.
production-grade
4
AI agents
4
S&R timeframes
4
Max positions
Agent orchestration
Technical AnalystActive
News AnalystActive
Equity ResearchIdle
Risk ManagerWatching
S&R signal engine
3mBullish
5mBullish
15mNeutral
60mBearish
01
4 AI agents
02
4 timeframes
03
safety controls

Engineering discipline behind every product

Reliability, observability, modularity, and control are treated as product requirements. If the system cannot be trusted under pressure, it is not ready to ship.

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.

Principles behind the work

Software should help people act, not just stare at dashboards.

AI should be useful before it is impressive.

Real-time products need calm interfaces and strong internals.

Reliability is part of the user experience.

Control matters as much as automation.

Architecture is what makes product quality repeatable.

Need an AI product with operational depth?

If you're building a product where decisions, automation, or live data matter, SIRIS can help shape the product, the system, and the path to production.