Inside Kognitos

From Rural Israel to the Cutting Edge of Automation: Meet Kognitos Engineer Ziv Kennan

Kognitos
From Rural Israel to the Cutting Edge of Automation: Meet Kognitos Engineer Ziv Kennan

Key Takeaways

This employee profile features a Kognitos engineer reflecting on the technical vision and culture behind the company. He frames the core opportunity as combining the reliability and auditability of traditional software with the creativity and generative capabilities of modern LLMs, the problem Kognitos is solving for the enterprise. In his view, this brings the agility of startups to large organizations, letting teams automate more quickly without heavy up-front discovery or fear of negative consequences, and even bringing a sense of joy to automation. He describes a culture defined by boundless curiosity, people at the top of their game, and a willingness to compromise and embrace new ideas. The takeaway: Kognitos pairs cutting-edge AI with an enterprise-grade, dependable platform, in a workplace where a dream related to the mission can be built the next day.

We are seeing massive improvements in LLMs and other models, and through this we can get the best of both worlds. The question is how can we integrate these models and use them in the Enterprise. That’s the problem Kognitos is solving. How to get the reliability and auditability of traditional software with the creativity and generative capabilities of these new models. The system we are building allows you to automate in ways you couldn’t before. We are bringing the agility of startups to the enterprise through automation. This fundamentally lets you think differently and frees up enterprises to automate more quickly without too much up-front discovery and fear of negative consequences. It will bring a level of joy to automation that isn’t available to people today. I want people to say, “I have joy in automating this process.”

In your opinion, what defines Kognitos’s culture, and what would you say to someone interested in joining?

I have a few thoughts –

  1. Everyone here is curious, which is critical to learning, adaptation, and frankly being skilled at anything in life. Everyone’s curiosity here is off the charts and that’s embodied in the culture.
  2. People are at the top of their game. This helps drive everyone forward.
  3. People compromise. The team is open to new ideas and each person’s viewpoint.

On top of that, I’d say the special thing is: if you have a dream, you wake up that morning, and if you can relate it to what we are working on, you build it the next day. You can’t find that anywhere else.

Frequently Asked Questions

Kognitos is solving the challenge of integrating large language models into enterprise workflows in a reliable, auditable way. Traditional software offers determinism and traceability, while newer generative AI models bring creativity and flexibility. Kognitos combines both worlds so businesses can automate complex processes without sacrificing the accountability required at enterprise scale. The result is a platform that lets organizations automate in ways that were previously not possible.
Kognitos uses a neuro-symbolic approach that pairs the generative capabilities of large language models with the deterministic reliability of traditional software. This allows the platform to handle unstructured, natural-language instructions while still producing consistent, auditable outcomes. Engineers like Ziv Kennan work on integrating these models so that the automation behaves predictably even when the inputs or processes are complex. The system is designed to scale across enterprise environments such as finance, healthcare, manufacturing, and logistics.
Kognitos brings the agility of a startup environment to the enterprise by reducing the up-front discovery effort and risk typically associated with automation projects. Because natural language can describe processes instead of rigid scripts, teams can automate more quickly and iterate without fear of negative consequences. The platform is designed to deliver a level of joy in automation that Ziv Kennan describes as fundamentally different from older approaches. This makes it possible for non-technical business users to participate in building and refining automations.
Kognitos is built so that both engineers and business users can participate in automation. The natural language programming interface means that people without deep coding backgrounds can describe processes and build automations directly. Ziv Kennan's vision is that anyone who has an idea in the morning should be able to relate it to their work and build it the next day, which reflects the platform's accessibility goal. This democratizes automation and reduces dependency on specialized RPA developers.
Kognitos supports a wide range of industries including finance and accounting, healthcare, manufacturing, logistics, supply chain, banking, and insurance. Specific use cases include three-way match automation in procurement, service case management, and financial process automation. The platform's flexibility with LLMs means it can adapt to the varied document types and workflows found across these sectors. Customers such as TTX, Century Supply Chain, and a Fortune 50 food and beverage company have used Kognitos to reduce costs and labor.
Companies should evaluate whether the platform can deliver both reliability and auditability alongside the generative flexibility that modern AI offers. It is worth assessing how quickly teams can go from describing a process in natural language to a working automation, as Kognitos is designed to minimize upfront discovery work. Security and compliance certifications, including SOC 2 Type II, HIPAA, GDPR, and ISO 27001, are important for regulated industries. Prospective customers can book a personalized demo to see how Kognitos handles their specific processes and data environments.
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