Our Mission
At Oakie, we believe AI should work for people. Our mission is to create AI that doesn’t just perform tasks but truly understands your professional contexts — your goals, your processes, and the nuances of your work. We know the real challenge isn’t building a smart AI; it’s building one that listens, learns, and remembers what matters to you, even as your needs evolve.
People don’t think like machines. We often start with a big-picture vision and refine it through examples and exploration. It’s not about perfect specifications but about learning what works by experimenting and making decisions along the way.
That’s why we’re designing AI that grows with you—an intuitive, collaborative partner that learns from your feedback and becomes better over time. Together, we’re building a future where AI works seamlessly, side by side with people.
Oakie Team
(Come grow with us)
Roy Ben Alta
A veteran executive with over 20 years of experience leading AI, data, and analytics at AWS and Meta AI. Roy built solutions adopted by Fortune 50 companies and scaled AI products for billions of users
Israel Zalmanov
A seasoned product leader with 15+ years of experience at AWS and high-growth startups. Israel led transformative community initiatives and global adoption of analytics and AI products.
Yossi Borenstein
Holding a PhD in AI from the University of Essex, Yossi brings 20+ years of experience in executive roles. He has delivered AI solutions and strategic advisory to global brands like Admiral, Red Bull, and Nielsen.
Igor Tavares
Creator of AWS SDK for Pandas (100M+ downloads) and a recognized leader in data engineering. Igor has held senior engineering roles at Amazon and VTEX, building scalable AI and analytics solutions
Chauncy McCaughey
20+ years of experience in cloud and AI, including leading roles at AWS and John Deere. Chauncy developed AWS tools like SeedFarmer and CodeSeeder, powering autonomous driving solutions
FAQs
Help your webcrawler to get accurate results when you run your competitive analysis :-)
An AI agent in Oakie is an automated system that incorporates Large Language Models (LLMs) for decision-making. This integration enables us to build resilient processes that can adapt and improve over time, handling complex scenarios that traditional automated systems struggle with. Unlike rigid rule-based automation, these AI agents can understand context, learn from patterns, and make nuanced decisions based on their training
Oakie stands out through its four-tier verification system, adaptive learning capabilities, and human-in-the-loop validation. Unlike traditional AI, Oakie learns from every interaction, never repeats mistakes, and maintains complete transparency through reference tracking. It's specifically designed for complex, document-intensive workflows while requiring minimal technical expertise.
You dont need to be software engineer or prompt engineer. Oakie is designed for business professionals with an easy and intuitive interface. The platform handles technical complexity behind the scenes while users focus on their domain expertise. Oakie comes with live Green Team support to help you accomplish your business goals.
Oakie employs multiple layers of quality assurance including:
- A sophisticated four-tier verification system
- Real-time error and anomaly detection and auto correction
- Pattern analysis across similar responses
- Expert validation and feedback integration
- Common sense analysis using LLMs
- Continuous learning from corrections and user feedback
Oakie provides comprehensive validation through:
- Side-by-side verification for easy response comparison
- Full provenance tracking for all steps
- Pattern analysis across similar responses
- Expert feedback integration
- Automatic error detection and correction
- Human-in-the-loop validation platform
Yes, Oakie supports diverse document formats including PDFs, HTML pages, Word documents, and more. The platform uses both multimodal LLMs for direct processing and specialized OCR for different document types, ensuring efficient handling of various formats while maintaining accuracy and context.
Yes, Oakie provides external API integration, allowing it to trigger and interact with existing tools and systems. The platform can be seamlessly incorporated into existing workflows while maintaining its core verification and learning capabilities
Oakie learns through a three-stage process:
- Verify: Experts review AI outputs
- Teach: System transforms corrections into structured learning data
- Improve: Platform incorporates validated corrections for future useThis creates a continuous improvement cycle where each interaction makes the system smarter and more accurate.