Machine learning as easy as SQL
Aito.ai predictive database runs machine learning on existing relational data for immediate predictions, future projections and recommendations. Test AI project ideas, build prototypes and scale to production – lightning fast.
Selected use case
IKEA demand simulator prototype in 5 weeks
Demand simulator prototype allows IKEA’s demand planners to quickly test different hypotheses on how product features (materials, colours etc) will influence the demand of unlaunched articles and why. Using Aito, IKEA had feedback from real users to support their further investment decision.
Aito’s predictive database powered the prototype through SQL-like queries. A fully functional solution was built in only 5 weeks.
Why Aito?
No data science skills needed
We know how hard it is to recruit a good data science team. By using Aito, you only need one developer to get started in the world of AI.
Fast AI iteration
Aito allows you to skip the time-consuming model training phase, unlike traditional AI approaches. You just import your data to Aito and start testing different types of queries to get immediate answers.
Explainable AI
The need for explainable results and decisions made by machines is increasing. Aito not only gives you the answers to your queries, but also shows you the reasoning behind them, making it a valuable business tool.
From idea to solution
Step 1
Upload your data
Upload your data to the Aito predictive database. For this example, we’ve uploaded the public dataset of Kickstarter projects, to predict and understand what contributes to the success of a fundraiser campaign.
Step 2
Query and get immediate results
Whether it's predictions, recommendations, smart search or any other functionality, Aito will return the answers to your queries instantly, allowing fast iteration and experimentation. Here we use the predict query to predict the fundraising success of project in the category of technology.
Query
{
{
"from": "project_status",
"where": {
"category": "technology",
"duration": {"$numeric": 28},
"goal": {"$numeric": 60000}
},
"predict": "reaches_goal"
}
}Result
{
"$p": 0.8669790673789294,
"feature": "success",
"$why": {
"factors": [
{"type": "baseP", "value": 0.5824108373535493},
{"variable": "goal in [50000.0, 69950.0]", "value": 0.6284269431801215},
{"variable": "category:technology", "value": 1.5290631512213575},
{"variable": "duration in [28.0, 28.0]", "value": 1.2528286824463164}
]
}
}Step 3
Integrate Aito to your product
Changing the parameters instantly influences the prediction result. Queries return in milliseconds, which makes Aito a good fit for real-time interactions. The Aito predictive database can be integrated to make your app, website, or any software smart.
Backend
Frontend
Campaign parameters
Aito prediction
Aito API
Match
Want to know more techinal details? See our documentation for developers.
Talk to us
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