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Orchestrating the Gen AI Lifecycle

We all have a new challenge: Scaling Generative AI to production.

As organizations race to adopt Generative AI, they often face new challenges. Moving from an impressive proof-of-concept demo to a stable, reliable, production-ready Gen AI application is far more difficult than anticipated.

Why? Because Gen AI requires a fundamentally new approach. 

Traditional software development processes and tools, like code reviews, don’t apply. There’s no way to know how a text prompt will perform until it’s deployed in a real-world environment. As a result, many organizations run blind and struggle to implement Gen AI effectively in production.

To successfully produce generative AI, new tools are needed.

Our platform equips teams with the tools & processes needed to manage the entire Gen AI application lifecycle - efficiently and reliably:

  • Prompt evaluation

    Test prompts, models, and settings on large input datasets, making changes on the fly, and analyzing the impact. Run limitless experiments against any dataset, and receive aggregated and detailed output, all from a single intuitive interface. 

  • Dataset management

    Build your datasets that simulate your expected outcome, and run experiments until you see it come to life. New datasets will be auto-generated from your production environment, providing contextual notifications and dataset permutations.

  • Staging and production validation

    Configure out-of-the-box validations from phrase inclusion (Text existence) and format (JSON, HTML, XML, etc..) to moderation (Hate, Violence, etc..), relevancy (Related to my business), and grounding (Factual..) — or create your own custom multi-layer input and output evaluator (LLM as a judge) to use during experimentation or production. 

  • Monitor real traffic

    Gain visibility into your production Gen AI applications. Visualize performance at the business level, or drill down to a single event, with alerts configured to your business context. Real traffic auto-generates datasets for the next evaluation.

Build & scale with confidence. 
We’ve got you covered.

The Team: Built by Experts in AI and Enterprise Tech

A seasoned team with deep roots in enterprise software, AI, and product innovation founded Arato. Our leadership has built and scaled technology at some of the world’s leading companies, from startups to Fortune 500 enterprises. We understand the challenges of bringing complex AI products to market because we’ve lived them ourselves.

  • Shahar Erez Shahar Erez
    Shahar Erez
    CEO & Co-Founder

    Shahar Erez is a visionary leader with 25 years of experience in enterprise B2B, transitioning from software engineering to leading product, go-to-market, and strategy initiatives. He played key roles in developing Mercury Interactive’s APM platform (acquired by HP) and VMware’s Cloud Application product suite, while also leading investments in DevOps companies like Puppet Labs and JFrog. Shahar co-founded TheOrg and Stoke (acquired by Fiverr) before founding Arato, where he continues to innovate in AI and technology.

  • Hilik Paz Hilik Paz
    Hilik Paz
    CTO & Co-Founder

    Hilik Paz is a visionary technology leader with over 30 years of experience in software engineering, specializing in applications and system management using AI and machine learning. As a hands-on CTO, he has driven innovation at Mercury Interactive (acquired by HP) and Cloudyn (acquired by Microsoft), and led VMware's Israeli R&D site. Prior to Arato, Hilik was Co-founder and CTO of TheOrg and Stoke (acquired by Fiverr).

  • Tal Salmona Tal Salmona
    Tal Salmona
    Head of R&D & Co-Founder

    Tal is a seasoned technology leader with deep expertise in engineering and artificial intelligence. He co-founded startups HiveSight and DemandSpot, where he scaled teams and delivered innovative solutions. In leadership roles at Mercury Interactive, VMware, and Kenshoo, Tal built high-performing engineering organizations and served as VP of R&D. At Meta (formerly Facebook), he led the Financial Risk Engineering group, overseeing teams of software engineers, ML specialists, and AI experts to address complex challenges in financial risk management.

Become a design partner

We’re looking for forward-thinking companies to join our beta program. As a design partner, you’ll gain early access to our platform, shaping the future of Gen AI management while solving your organization’s biggest AI challenges.
Want to learn more? Let’s connect.
Join our beta program or schedule a meeting with our team to explore how Arato can help your AI initiatives succeed at scale.

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