Public Beta v2.0 — Now Live
Slide 1

Bridging the Gap Between AI Innovation and Real-World Impact

In 2023, our founders recognized a critical gap: while AI was advancing rapidly in research labs, practical applications that could solve immediate business problems were lagging behind.

Slide 2

Intelligent Workflows. Effortless Execution.

With TaskManager Pro, we reimagined how modern teams operate—transforming complex processes into streamlined workflows. From intelligent task creation to seamless collaboration and automation, we built a platform designed to execute work faster, smarter, and at scale.

Slide 3

Precision Signals. Powered by Intelligence.

We started with financial markets—where the need was clear and data was abundant. Within months, we had our first product live, delivering unprecedented accuracy in stock signal detection.

Slide 4

Human Support. Intelligent Resolution.

Our Help Desk Agents deliver fast, reassuring support when customers need it most—handling calls with empathy, clarity, and confidence. From resolving issues in real time to guiding users step by step, every interaction is designed to create smooth experiences, stronger trust, and lasting customer satisfaction.

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Technology Stack

-Programming Language Python 3.11+, C#, VB.NET
-Deep Learning Framew TensorFlow 2.x
-Deep Learning Framew PyTorch
-Natural Language Pro spaCy & NLTK
-Web Framework FastAPI
-Database PostgreSQL
-Caching Redis
-Containerization Docker
-Programming Language Python 3.11+, C#, VB.NET
-Deep Learning Framew TensorFlow 2.x
-Deep Learning Framew PyTorch
-Natural Language Pro spaCy & NLTK
-Web Framework FastAPI
-Database PostgreSQL
-Caching Redis
-Containerization Docker

Line of Products

Stock market early stock detection application

Early Stock Surge Detection

AI-Powered Market Intelligence for Institutional Traders

SurgePulse™ captures 90–95% of real 20%+ pre-market surges — often 5–20 minutes before the crowd. Our proprietary AI algorithms scan thousands of tickers in real-time to identify genuine institutional moves.

Market Intelligence
Trading Features

Authenticity Scoring

Proprietary algorithm evaluates each signal based on volume confirmation, price action, and institutional participation to filter out noise.

Neural Network Detection

Proprietary deep learning models analyze price patterns, volume surges, and market microstructure to identify genuine breakouts.

Real-Time Surge Scanner

Continuously monitors thousands of tickers with adaptive thresholds that adjust based on market conditions and volatility regimes.

Algorithm Performance Metrics
Algorithm Performance Metrics
Metric Threshold Description Priority
Authenticity Score
≥ 58.0
Measures institutional validity of price moves
High
Dollar Volume
≥ $1M
Minimum liquidity requirement
High
Price Floor
≥ $1.50
Filters out penny stock noise
Medium
True Range Expansion
≥ 1.10x
Volatility expansion vs recent average
High
Intraday Range
≥ 1.0%
Minimum daily price movement
Medium
Near High Ratio
≥ 0.75
Proximity to recent highs
Medium
Quantitative Performance
Detection Rate
94.7%

Of 20%+ pre-market moves captured

Early Warning
5–20 min

Ahead of retail crowd recognition

Win/Loss Ratio
2.8:1

Across all signals (90-day period)

Sharpe Ratio
0.82

Risk-adjusted returns (annualized)

Market Analysis

ML Confidence Scoring

Each signal receives a calibrated confidence score (0–100%) based on feature importance and historical performance.

Adaptive Universe

Algorithm adjusts scanning parameters based on market session, volatility, and volume patterns to maintain optimal hit rate.

Core Platform

TaskManager Pro

Everything your team needs A multi-tenant SaaS built on Django with organizations, role-based access, and real-time collaboration.

Everything your team needs
Artificial Intelligence

Intelligent task analysis

  • Priority recommendations with confidence scores and reasoning
  • Risk classification: Low, Medium, High, Critical
  • AI-suggested deadlines based on complexity (1–10 scale)
  • Predicted completion timelines with confidence %
  • Feedback loop — track accepted vs overridden suggestions
  • AI credit usage tracking per organization
AI INSIGHTS — Recent Tasks
Migrate database schema
Complexity: 8/10 · Deadline in 2 days
High Priority Critical Risk
Design landing page mockup
Complexity: 4/10 · 87% confidence
Medium Low Risk
Write unit tests for API
Complexity: 5/10 · Suggested: +3 days
Medium AI Deadline
Update client billing records
Complexity: 2/10 · On track
Low Priority Low Risk
Modular Application

Modular Django apps

Each feature is built as an independent Django app — giving you clean separation, faster scaling, and the flexibility to extend or customize without breaking the core.

🔑 core — Users & Organizations
tasks — Task & Time Entries
📊 dashboard — Home & Overview
📈 analytics — Reports & Exports
🧾 invoices — Billing & Payments
🤖 ai_assistant — AI Insights
💬 chatbot — Conversational AI
👥 team_collaboration — Teams
📅 calendar_integration — Calendar
🌐 portal — Client Portal
🛠️ tools — Utilities
🔌 REST API — Django REST Framework

Online luxury shop

Full E-Commerce
Tiered Agent Program
Dynamic Promotions
Homepage Builder
Order Management
Reviews & Wishlist
Luxury Beauty Platform

Beauty Without
Compromise

Velour is a curated e-commerce destination for premium skincare, fragrance, and wellness — where exceptional products meet a seamless, beautifully crafted shopping experience.

Explore the Platform

SLA tracking · Multi-tenant · Real-time queues

Help Desk Agent

Surgepulse Support is a focused ticket management system built for SaaS support teams — with SLA enforcement, role-based access, and a clear queue your agents will actually use.

Help Desk Agent
Your queue, always visible

Every ticket in one clean list — prioritized, SLA-tracked, and assigned. No noise, no mystery, just the information your agents need to act.

TKT-AX3K9M Payment gateway timeout on checkout Critical In Progress
Breach
TKT-BQ7TYL CSV export missing archived orders High Open
2 h left
TKT-CR1PZF Dashboard chart not rendering on Safari Medium Pending
8 h left
TKT-DS5WUE Password reset email lands in spam Low Resolved
Done
Everything your support team needs
How it works
From submission to resolution

A simple, repeatable flow that keeps every ticket moving — no manual reminders, no status guessing.

1
Customer submits a ticket

Customers log in to their organization portal and submit a ticket with a subject, description, priority, and optional attachments. A unique ID like TKT-AX3K9M is generated instantly.

2
SLA is automatically assigned

Based on the selected priority, the system attaches the matching SLA policy and calculates a due-by timestamp. The clock starts the moment the ticket is created.

3
Agent picks up from the queue

Agents see open, unassigned, and SLA-breached tickets at a glance. They assign themselves, leave internal notes, or escalate — all without leaving the ticket view.

4
Resolved & closed

Once resolved, the ticket is closed. Parent tickets automatically complete when all children resolve, with full reporting history captured across the lifecycle.

Access Control
Four roles, clear boundaries

Every user has exactly the access they need — no more, no less. Role assignment is handled by admins and reflected instantly across the system.

Customer
Customers

Submit tickets, track progress, and communicate through public comments — fully scoped to their organization.

Agent
Support Agents

Manage tickets end-to-end — assign ownership, collaborate internally, update status, and access reports.

Manager
Managers

Oversee team performance with escalation control, workload visibility, and SLA tracking across all tickets.

Admin
Administrators

Full system control — manage users, configure SLAs, organize tenants, and customize dashboards.

Works across your entire product line

Tickets are tagged by product so agents can filter their queue and managers can instantly spot trends and hotspots.

TaskManager Pro
Velour Shop
Stocks Prediction
Reviews