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Explainable AI analytics that translates your data into proactive insights

Deltika lets you find out what guides your AI’s predictions.

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AI analytics for decision-makers

Make smarter decisions with our cutting-edge technology, cognitive approach, and optimization guidance.​

100% Self-Serve


don’t need a costly developer to understand complex AI models!

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

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Explainable AI


don't waste time and make bad decisions.

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

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Custom Input

Leave the developers alone.

let them do what they do best.

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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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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

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Yitzchak Shamia

Co-Founder & CEO

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Roei Brudo

Co-Founder & CTO


Prof. Aryeh Kontorovich

AI Expert

Get In Touch

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Tel Aviv, Full Time


  • 4+ years of experience in developing web apps using frameworks like React, Vue.js, or Angular (Prefebally React)

  • Strong knowledge of HTML, CSS, and modern Javascript

  • 2+ years developing backend system

  • Experience with browser APIs and front-end performance

  • High standards for code quality

  • Product-oriented mindset with the ability to transform a difficult problem into one or more simple ones that you can easily solve

  • Can-do attitude, fast learner, and excellent interpersonal skills.

Tel Aviv, Full Time

  • 5+ years of proven backend development experience, in at least one language (Java / Scala / Kotlin / Golang / Python, etc.)

  • Hands-on experience in stream/data processing technologies, such as Kafka, SQS, RabbitMQ, Google Dataflow, etc.

  • Deep knowledge of and experience working with both Relational and NoSql databases of a significant scale

  • Experience with AWS or an alternative cloud environment

  • Experience with Hadoop ecosystem (Spark, Hive, MapReduce etc) - this is a big plus