

Explainable AI analytics that translates your data into proactive insights
Deltika lets you find out what guides your AI’s predictions.










AI analytics for decision-makers
Make smarter decisions with our cutting-edge technology, cognitive approach, and optimization guidance.
100% Self-Serve
You.
don’t need a costly developer to understand complex AI models!

Anyone!
can create a custom dashboard to find out which factors influence the AI’s decisions most.

Explainable AI
Please.
don't waste time and make bad decisions.


Save!
time and make smarter decisions with complete insight into your AI model’s thought process. Stay aligned with auditors and regulators.

Custom Input
Leave the developers alone.
let them do what they do best.
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Discover
find out how your model will react to different kinds of inputs with a click of a button, without manipulating production data.
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Actionable Insights


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Tech
Our trademark is our Explainable AI for time-series technology, which invests heavy data science resources to understand the marginal impact of every single parameter over time.
Deltika introduces a brand new level of market transparency and enables a wide range of clients to make smarter decisions.
The Team

Yitzchak Shamia
Co-Founder & CEO

Roei Brudo
Co-Founder & CTO

Prof. Aryeh Kontorovich
AI Expert
Career
FULL STACK - FRONT END DEVELOPER
Tel Aviv, Full Time
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4+ years of experience in developing web apps using frameworks like React, Vue.js, or Angular (Prefebally React)
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Strong knowledge of HTML, CSS, and modern Javascript
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2+ years developing backend system
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Experience with browser APIs and front-end performance
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High standards for code quality
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Product-oriented mindset with the ability to transform a difficult problem into one or more simple ones that you can easily solve
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Can-do attitude, fast learner, and excellent interpersonal skills.
BACKEND & BIG-DATA DEVELOPER
Tel Aviv, Full Time
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5+ years of proven backend development experience, in at least one language (Java / Scala / Kotlin / Golang / Python, etc.)
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Hands-on experience in stream/data processing technologies, such as Kafka, SQS, RabbitMQ, Google Dataflow, etc.
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Deep knowledge of and experience working with both Relational and NoSql databases of a significant scale
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Experience with AWS or an alternative cloud environment
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Experience with Hadoop ecosystem (Spark, Hive, MapReduce etc) - this is a big plus