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Pedesis

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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

Tech Stack
PythonSQLJava
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
13% Generative AI
32% AI Agent & Multi-Agent System Development
5% AI Strategy & Roadmap Consulting
40% Custom Web Application Development
10% 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+

Locations

Headquarters

7782 Lakota Hills Dr

West Chester, Pennsylvania, United States 45069