
Pedesis
Profile set up by Edverise AISet Up By Edverise AI
Edverise AI built this profile by analyzing thousands of data points across the web. If you own this business, become an Edverise partner to manage and update your profile.
Overview
$10,000+
Min Project Size
150+
Avg Hourly Rate
2 - 9
Employees
2022
Year Founded
ABOUT PEDESIS
Orchestrating Agentic Intelligence
Pedesis develops production-grade agentic AI systems and high-fidelity RAG platforms that transform enterprise data into autonomous, action-driven intelligence. We assist organizations in advancing from AI experimentation to dependable, secure, and scalable implementation, featuring systems that are observable, cost-effective, and seamlessly integrated into existing workflows. Our offerings include:
- Multi-agent orchestration and self-correcting reasoning systems
- High-fidelity RAG with citation-backed responses based on enterprise data
- Knowledge engineering pipelines for readily accessible intelligence
- Advanced prompt engineering and evaluation frameworks designed for accuracy and reliability
- Production-level AI infrastructure with observability, safeguards, and cost management
We enable organizations to progress beyond prototypes to secure, scalable AI systems that yield measurable business results.
What Distinguishes Pedesis:
✔ Systematic and testable prompt engineering
✔ Self-correcting reasoning loops for improved accuracy
✔ AI outputs supported by citations
✔ Rapid intelligent retrieval at scale (in under a second)
✔ API-first integration for enterprises
✔ Ongoing evaluation and automated quality assurance
LANGUAGES SPOKEN
English
HIGHLIGHTS
$10,000+
Min Project Size
150+
Avg Hourly Rate
2 - 9
Employees
2022
Year Founded
Services
Focus
Industries
Clients
Services Provided
25% Generative AI
65% AI Agent & Multi-Agent System Development
10% AI Strategy & Roadmap Consulting
80% Custom Web Application Development
20% Legacy System Modernization
About the Team
OUR STORY
Our Narrative Pedesis is steered by seasoned AI engineers boasting over a decade of expertise in machine learning, artificial intelligence, natural language processing, and production data systems. We leverage our background in enterprise machine learning, cloud-native data pipelines, and practical large language model implementations, focusing on evaluation, reducing hallucinations, and enhancing system observability. Our goal is to create and implement robust, agentic AI and knowledge-engineering systems that transform disorganized enterprise data into dependable, self-sufficient workflows.
Projects & Clients
Project Size & Rate
Minimum Project Size
$10,000+
Average Hourly Rate
150+