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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>STOIC Big Data Spreadsheet</title>
<!-- Bootstrap -->
<link href="bootstrap/css/bootstrap.min.css" rel="stylesheet">
<!-- Custom CSS -->
<link href="css/style.css" rel="stylesheet" type="text/css" media="screen">
<!-- Font Awesome -->
<link href="font-awesome-4.2.0/css/font-awesome.min.css" rel="stylesheet">
<!-- Flex Slider -->
<link href="css/flexslider.css" rel="stylesheet" type="text/css" media="screen">
<!-- Animated CSS -->
<link href="css/animate.css" rel="stylesheet" type="text/css" media="screen">
<!-- Web Fonts -->
<link href='http://fonts.googleapis.com/css?family=Lato:300,400,400italic' rel='stylesheet' type='text/css'>
<link href='http://fonts.googleapis.com/css?family=Montserrat:400,700' rel='stylesheet' type='text/css'>
<!-- Owl Carousel CSS -->
<link href="css/owl.carousel.css" rel="stylesheet" type="text/css" media="screen">
<link href="css/owl.theme.css" rel="stylesheet" type="text/css" media="screen">
<!-- Popups CSS -->
<link href="css/magnific-popup.css" rel="stylesheet" type="text/css">
<!-- HTML5 Shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
</head>
<body data-spy="scroll" data-offset="80">
<!-- Home Section -->
<section id="home" data-stellar-background-ratio="0.5">
<div class="parallax-overlay"></div>
<div class="home-content text-center">
<div class="container">
<span class="home-top-slide-text hidden-xs">Introducing STOIC</span>
<div class="main-flex-slider">
<ul class="slides">
<li>
<h1><span class="colored-text">Big Data</span> Spreadsheet</h1>
</li>
<li>
<h1>We are <span class="colored-text">Big Data</span></h1>
</li>
<li>
<h1>We are <span class="colored-text">Agile Data</span></h1>
</li>
<li>
<h1>We are <span class="colored-text">STOIC</span></h1>
</li>
</ul>
</div>
<div class="home-link-btn text-center">
<p class="scrollto"><a href="#about" class="btn btn-lg btn-dark-2">More Details</a></p>
</div>
</div>
</div>
</section>
<!-- Navigation Section -->
<section id="navigation">
<div class="navbar navbar-default navbar-static-top " role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-collapse">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<a class="navbar-brand" href="index.html">STOIC</a>
</div>
<div class="navbar-collapse collapse">
<ul class="nav navbar-nav navbar-right scrollto">
<li><a href="#home">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#product">Product</a></li>
<li><a href="#pricing">Pricing</a></li>
<li><a href="#team">Team</a></li>
<li><a href="#contact">Contact</a></li>
</ul>
</div>
</div>
</div>
</section>
<!-- About Section -->
<section id="about" class="section-padding">
<div class="container">
<div class="row">
<div class="col-md-12">
<div class="center-heading text-center">
<h2>Our Story</h2>
<span class="icon"><i class="fa fa-home"></i></span>
</div>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2 text-center wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="300ms">
<p class="lead margin-btm-30">
We are a software company based in Palo Alto, California.<br>
We are reinventing the spreadsheet for big data.<br>
We are about to make your work easier.
</p>
</div>
</div>
<div class="row services">
<div class="col-md-4 margin-btm-30">
<div class="service-box wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="300ms">
<i class="fa fa-thumbs-o-up"></i>
<h3>Simple</h3>
<p>
If you can use a spreadsheet, you can use STOIC.<br>
We use the same concepts and formulas.<br>
Really, as easy as 1-2-3!
</p>
</div>
</div>
<div class="col-md-4 margin-btm-30">
<div class="service-box wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="400ms">
<i class="fa fa-database"></i>
<h3>Scalable</h3>
<p>
From gigabytes to terabytes, we scale with you.<br>
You have billions of records? No problem!<br>
Trillions of cells? Bring them on!
</p>
</div>
</div>
<div class="col-md-4 margin-btm-30">
<div class="service-box wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="500ms">
<i class="fa fa-bolt"></i>
<h3>Super Fast</h3>
<p>
Load a terabyte of data in 10 seconds or less.<br>
Pivot across 10 dimensions in one second.<br>
Like a spreadsheet, just bigger.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- Tagline -->
<div class="divided-50"></div>
<div class="cta cta-tagline">
<div class="container">
<div class="row">
<div class="col-sm-8 margin-btm-30">
<h3>
<strong>STOIC</strong> makes big data actionable by everyone.
</h3>
</div>
<div class="col-sm-4">
<a href="#pricing" class="btn btn-theme btn-lg btn-tagline">Purchase now</a>
</div>
</div>
</div>
</div>
<!-- Product Section -->
<section id="product" class="section-padding parallax bg-heading" data-stellar-background-ratio="0.5">
<div class="container">
<div class="row">
<div class="col-md-12">
<div class="center-heading text-center">
<h2>Our Product</h2>
<span class="icon"><i class="fa fa-gift"></i></span>
</div>
</div>
</div>
<div class="row">
<div class="col-md-6 margin-btm-30 wow animated fadeInLeft" data-wow-duration="700ms" data-wow-delay="100ms">
<div class="row">
<div class="col-md-2">
<div class="service-icon">
<i class="fa fa-download"></i>
</div>
</div>
<div class="col-md-10">
<div class="service-info">
<h4>Data Import</h4>
<p>
Import terabytes of data from files or databases in minutes.<br>
Prepare data by working on the entire dataset interactively.
</p>
</div>
</div>
</div>
</div>
<div class="col-md-6 margin-btm-30 wow animated fadeInRight" data-wow-duration="700ms" data-wow-delay="200ms">
<div class="row">
<div class="col-md-2">
<div class="service-icon">
<i class="fa fa-table"></i>
</div>
</div>
<div class="col-md-10">
<div class="service-info">
<h4>Pivot Table</h4>
<p>
Pivot terabytes of data across tens of dimensions in seconds.<br>
Define filtering rules with Excel's formula language.
</p>
</div>
</div>
</div>
</div>
</div>
<div class="divided-50"></div>
<div class="row">
<div class="col-md-6 margin-btm-30 wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="300ms">
<div class="row">
<div class="col-md-2">
<div class="service-icon">
<i class="fa fa-bar-chart"></i>
</div>
</div>
<div class="col-md-10">
<div class="service-info">
<h4>Charts & Dashboards</h4>
<p>
Generate gorgeous charts and dashboards in seconds.<br>
Publish them to smartphones and tablets in a single click.
</p>
</div>
</div>
</div>
</div>
<div class="col-md-6 margin-btm-30 wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="400ms">
<div class="row">
<div class="col-md-2">
<div class="service-icon">
<i class="fa fa-cogs"></i>
</div>
</div>
<div class="col-md-10">
<div class="service-info">
<h4>Machine Learning</h4>
<p>
Make predictions and recommendations in real-time.<br>
Skip the Statistics 101 class for now.
</p>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- Features Section -->
<section id="work" class="section-padding">
<div class="container">
<div class="row">
<div class="col-md-12">
<div class="center-heading text-center">
<h2 class=" wow animated bounceIn" data-wow-duration="700ms" data-wow-delay="100ms">Our Features</h2>
<span class="icon"><i class="fa fa-star"></i></span>
</div>
</div>
</div>
<div class="row">
<div class="col-md-8 col-md-offset-2 text-center">
<p class="lead margin-btm-30">
STOIC is designed for simplicity, scalability, and speed. All skillsets are welcome. No dataset is too large. And all features are real-time.
</p>
</div>
</div>
<div class="divided-50"></div>
<div class="row">
<div id="work-slide" class="owl-carousel">
<div>
<div class="col-md-6 margin-btm-30">
<img src="img/screenshot-import.png" class="img-responsive" alt="Import">
</div>
<div class="col-md-6">
<div class="work-detail">
<h1>Data Import</h1>
<p>
You can import data from CSV files, databases like Oracle or SQL Server, and datastores like Greenplum or HDFS. Depending on the datasource, imports can be as fast as 100GB/s.
</p>
<p>
With our spreadsheet user interface, you can prepare your data with the necessary cleansings, mappings, and transformations, while interacting with the entire dataset in real-time, terabytes at your fingertips.
</p>
<p>
And when you are done, data is instantly available for deep analytics. Better yet, your data import script is automatically available for future imports of similar datasets.
</p>
</div>
</div>
</div>
<div>
<div class="col-md-6 margin-btm-30">
<div class="work-detail">
<h1>Pivot Table</h1>
<p>
You can drill-down through multi-terabyte datasets with our pivot table. Simply drag and drop data fields onto the pivot, then specify the aggregations you need, like SUM or AVERAGE.
</p>
<p>
Using the familiar syntax of Excel® formulas, you can also define row filtering rules, or join columns across multiple sheets. And you can do all that without having to learn SQL.
</p>
<p>
Our pivot engine is fast, really fast: you can pivot a terabyte of data across 10 dimensions in less than a second. And it scales linearly with the size of your dataset and the number of pivot dimensions.
</p>
</div>
</div>
<div class="col-md-6">
<img src="img/screenshot-pivot.png" class="img-responsive" alt="">
</div>
</div>
<div>
<div class="col-md-6 margin-btm-30">
<img src="img/screenshot-choropleths.png" class="img-responsive" alt="Choropleths">
</div>
<div class="col-md-6">
<div class="work-detail">
<h1>Pivot Charts</h1>
<p>
You can generate charts and maps directly from the pivot, without any complex range selection or column binding. Simply pivot your dataset, select your desired chart, and <em>voilà!</em>
</p>
<p>
We provide an extensive collection of charts that can be combined into dashboards and infographics. You can also use the standard <a href="http://d3js.org/">D3.js</a> library to add your own custom visualizations.
</p>
<p>
From there, charts and dashboards can be pushed to mobile devices like smartphones and tablets, without having to keep any cube data in memory. And you can export your pivot data to visualization tools like Tableau®.
</p>
</div>
</div>
</div>
<div>
<div class="col-md-6 margin-btm-30">
<div class="work-detail">
<h1>Deep Analytics</h1>
<p>
You can further analyze your data with advanced machine learning and statistical techniques. STOIC lets you spot outliers, identify clusters, make predictions, and generate recommendations in just a few clicks.
</p>
<p>
Through our intuitive user interface, we make these advanced big data techniques accessible to regular users who are neither data scientists nor software engineers. If you can use Excel®, you can use STOIC.
</p>
<p>
And thanks to our unique in-memory data structures and computation engines, we make these calculations extremely fast, even for multi-terabyte datasets. In most cases, requests are processed within 1 second or less.
</p>
</div>
</div>
<div class="col-md-6">
<img src="img/screenshot-correlation.png" class="img-responsive" alt="Correlation">
</div>
</div>
</div>
</div>
</div>
<div class="divided-50"></div>
<div class="container wow animated fadeInUp" data-wow-duration="700ms" data-wow-delay="200ms">
<div class="row">
<div class="col-md-12">
<ul class="portfolio-filters text-center">
<li class="filter active" data-filter="all">all</li>
<li class="filter" data-filter="import">import</li>
<li class="filter" data-filter="discover">discover</li>
<li class="filter" data-filter="visualize">visualize</li>
<li class="filter" data-filter="analyze">analyze</li>
</ul>
<div id="grid" class="row" style=" ">
<div class="mix col-sm-4 import margin-btm-30">
<div class="item-img-wrap ">
<img src="img/screenshot-import.png" class="img-responsive" alt="Import">
<div class="item-img-overlay">
<a href="img/screenshot-import.png" class="show-image">
<span></span>
</a>
</div>
</div>
<div class="work-desc">
<h4><a href="work-single.html">Data Importer</a></h4>
<em>Supports files, SQL databases, and NoSQL datastores</em>
</div>
</div>
<div class="mix col-sm-4 discover margin-btm-30">
<div class="item-img-wrap ">
<img src="img/screenshot-pivot.png" class="img-responsive" alt="Pivot">
<div class="item-img-overlay">
<a href="img/screenshot-pivot.png" class="show-image">
<span></span>
</a>
</div>
</div>
<div class="work-desc">
<h4><a href="work-single.html">Pivot Table</a></h4>
<em>Unlimited dimensions, multiple aggregations</em>
</div>
</div>
<div class="mix col-sm-4 visualize margin-btm-30">
<div class="item-img-wrap ">
<img src="img/screenshot-charts.png" class="img-responsive" alt="Charts">
<div class="item-img-overlay">
<a href="img/screenshot-charts.png" class="show-image">
<span></span>
</a>
</div>
</div>
<div class="work-desc">
<h4><a href="work-single.html">Pivot Charts</a></h4>
<em>Generate charts within pivot cells</em>
</div>
</div>
<div class="mix col-sm-4 visualize margin-btm-30">
<div class="item-img-wrap ">
<img src="img/screenshot-choropleths.png" class="img-responsive" alt="Choropleths">
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<span></span>
</a>
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<h4><a href="work-single.html">Geographic Maps</a></h4>
<em>Load your own maps or use our built-in library</em>
</div>
</div>
<div class="mix col-sm-4 analyze margin-btm-30">
<div class="item-img-wrap ">
<img src="img/screenshot-correlation.png" class="img-responsive" alt="Correlation">
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<a href="img/screenshot-correlation.png" class="show-image">
<span></span>
</a>
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<div class="work-desc">
<h4><a href="work-single.html">Correlation Engine</a></h4>
<em>Correlate all pairs of data fields at a glance</em>
</div>
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<div class="mix col-sm-4 analyze margin-btm-30">
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<span></span>
</a>
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<h4><a href="work-single.html">Statistical Analysis</a></h4>
<em>Conduct exploratory data analysis with metrics and graphics</em>
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<h4>Financial Services</h4>
<p>
Manage assets, portfolios, and risks in real-time.<br>
Detect fraud and simulate complex market models.
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<p>
Plan capacity with historical data and what-if scenarios.<br>
Detect anomalies and optimize networks in real-time.
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<h4>Planning & Forecasting</h4>
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Plan sales, finance, and operations with interactive models.<br>
Consolidate multiple data sources and collaborate online.
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Compare models across historical and simulated datasets.<br>
Optimize variables and instrument real-time feedback loops.
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Start small then grow with our hosted plans.<br>
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<h4>Pro</h4>
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<h2><span>$</span>99 <span>P/M</span></h2>
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<ul class="plan-features list-unstyled">
<li><i class="fa fa-check"></i> 1 Team Member</li>
<li><i class="fa fa-check"></i> 100GB in-memory capacity</li>
<li><i class="fa fa-check"></i> 25 analytics hours included</li>
<li><i class="fa fa-check"></i> $2.5/hour afterwards</li>
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<a href="http://store.stoic.com/products/pro" class="btn btn-dark btn-lg">Choose Plan</a>
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<h4>Business</h4>
</div>
<div class="plan-price">
<h2><span>$</span>995 <span>P/M</span></h2>
</div>
<ul class="plan-features list-unstyled">
<li><i class="fa fa-check"></i> 5 Team Members</li>
<li><i class="fa fa-check"></i> 1TB in-memory capacity</li>
<li><i class="fa fa-check"></i> 25 analytics hours included</li>
<li><i class="fa fa-check"></i> $25/hour afterwards</li>
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<a href="http://store.stoic.com/products/business" class="btn btn-theme btn-lg">Choose Plan</a>
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<h4>Enterprise</h4>
</div>
<div class="plan-price">
<h2><span>$</span>9,995 <span>P/M</span></h2>
</div>
<ul class="plan-features list-unstyled">
<li><i class="fa fa-check"></i> 25 Team Members</li>
<li><i class="fa fa-check"></i> 10TB in-memory capacity</li>
<li><i class="fa fa-check"></i> 25 analytics hours included</li>
<li><i class="fa fa-check"></i> $250/hour afterwards</li>
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<a href="http://store.stoic.com/products/enterprise" class="btn btn-dark btn-lg">Choose Plan</a>
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<h4>
<i class="fa fa-quote-left"></i> STOIC is like Excel on steroids. <i class="fa fa-quote-right"></i>
</h4>
<p>Paul Maritz</p>
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<div>
<h4>
<i class="fa fa-quote-left"></i> If you can use Excel, you can use STOIC. Think Excel for Big Data! <i class="fa fa-quote-right"></i>
</h4>
<p>Patrick Scaglia</p>
</div>
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<h4>
<i class="fa fa-quote-left"></i> Before you guys, I had time to grab a cup of coffee between pivots.<br>Now I don't anymore. Should I really thank you for that? <i class="fa fa-quote-right"></i>
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<p>Sebastien Gignoux</p>
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<h4>Ismael</h4>
<span>Lego Builder</span>
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<h4>Jacques</h4>
<span>Number Cruncher</span>
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<h4>François</h4>
<span>Pixel Pusher</span>
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<h4>Hugues</h4>
<span>Dev Operator</span>
</div>
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<h4>Jim</h4>
<span>Fairy Catcher</span>
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<img src="img/team-florian.jpg" alt="Florian Ribon">
</a>
<h4>Florian</h4>
<span>Turbo Compressor</span>
</div>
</div>
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<div class="team-col wow animated fadeInLeft" data-wow-duration="700ms" data-wow-delay="800ms">
<a href="https://www.linkedin.com/in/lemaout" target="external">
<img src="img/team-yves.jpg" alt="Yves Le Maout">
</a>
<h4>Yves</h4>
<span>Bit Wrangler</span>
</div>
</div>
<div class="col-sm-4">
<div class="team-col wow animated fadeInLeft" data-wow-duration="700ms" data-wow-delay="800ms">
<a href="https://www.linkedin.com/in/hwend" target="external">
<img src="img/team-horst.jpg" alt="Horst Wend">
</a>
<h4>Horst</h4>
<span>Fire Fighter</span>
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</div>
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<div class="progress-circle">
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<span>95%</span>
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<p class="progress-text">Excel</p>
</div>
</div>
<div class="col-sm-3 text-center">
<div class="progress-circle">
<div class="chart" data-percent="90" data-scale-color="#25CBF5">
<span>90%</span>
<canvas height="120" width="120"></canvas>
</div>
<p class="progress-text">Javascript</p>
</div>
</div>
<div class="col-sm-3 text-center">
<div class="progress-circle">
<div class="chart" data-percent="75" data-scale-color="#25CBF5">
<span>75%</span>
<canvas height="120" width="120"></canvas>
</div>
<p class="progress-text">C++</p>
</div>
</div>
<div class="col-sm-3 text-center">
<div class="progress-circle">
<div class="chart" data-percent="60" data-scale-color="#25CBF5">
<span>60%</span>
<canvas height="120" width="120"></canvas>
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<p class="progress-text">Statistics</p>
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<h1 class="counter">500</h1>
<h3>Columns</h3>
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<h1><span class="counter">16</span></h1>
<h3>Billion Rows</h3>
</div>
</div>
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<h1><span class="counter">8</span></h1>
<h3>Trillion Cells</h3>
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<h3>Our Office</h3>
<p><i class="fa fa-map-marker"></i> Address: 501 Forest Avenue, Palo Alto, CA 94301</p>
<p><i class="fa fa-phone"></i> Phone: (650) 690-2849</p>
<p><i class="fa fa-envelope"></i> Email: info@stoic.com</p>
<p><strong>Monday - Friday : </strong> 8:00 am - 6:00 pm</p>
<p><strong>Saturday - Sunday : </strong> Closed</p>
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<h3>Elsewhere</h3>
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<li><a href="https://plus.google.com/b/105050074887773296485/"><i class="fa fa-google-plus"></i></a></li>
<li><a href="https://www.linkedin.com/company/2716553"><i class="fa fa-linkedin"></i></a></li>
<li><a href="http://sutoiku.com"><i class="fa fa-tumblr"></i></a></li>
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About STOIC
</h3>
<p>
STOIC was founded in March 2012 in Palo Alto, California.<br>
Our mission is to make big data actionable by everyone.<br>
We believe in simplicity and love beautiful software.
</p>
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