Sylla Stories
Sylla is an AI-native studio that helps enterprises identify where AI can reduce costs and then builds, deploys, and maintains autonomous AI agents and RAG systems in production. The company offers leadership workshops for AI strategy, custom development of voice agents and customer service automation, and takes full responsibility for ongoing operations. Sylla also publishes a newsletter sharing real system architecture and ROI learnings from deployed systems.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Many enterprises recognize AI's potential but struggle to identify where it delivers measurable cost savings and how to implement it safely. Leadership teams lack the technical clarity to separate high-impact automation opportunities from speculative projects, and generic AI advice rarely translates into production-ready systems that actually free up employee time.
Solution
AI-Native Studio (Sylla) provides a structured path from AI curiosity to measurable ROI. The company runs workshops for leadership teams to map where AI can cut repetitive costs without unnecessary risk, then designs, builds, and maintains autonomous AI agents and RAG systems tailored to each client's workflows. Sylla takes full responsibility for production deployment and ongoing operations, ensuring the systems remain reliable and continue to deliver value. Their approach combines strategic consulting with hands-on engineering, covering use cases such as AI voice agents, customer service automation, and document retrieval systems.
Target Audience
Primary customers are modern enterprises and leadership teams seeking to implement AI automation with measurable cost savings, including organizations interested in AI strategy, voice agents, RAG systems, and customer service automation.
Features
- Leadership workshops focused on identifying cost-saving AI opportunities with a risk-aware lens
- Custom development of autonomous AI agents designed for production environments
- Tailored RAG (retrieval-augmented generation) systems for enterprise knowledge retrieval
- Dedicated service pages for AI automation, voice agents, customer service, and workshops
- Ongoing maintenance and operations for all deployed systems
- Newsletter sharing real system architecture and ROI learnings from deployed AI systems