Users increasingly demand ChatGPT-like experiences with all their content and data, with over 50% of workers spending more time searching for answers than working.
Investor Pressure
83% of investors expect AI readiness in potential software investments, while 75% demand a bold AI vision—yet only 41% of solutions deliver.
Changing Competition
The competitive landscape now includes AI-native entrants and peripheral solutions, with 70% of Fortune 500 companies already deploying Copilot.
ISV Challenges in AI Implementation
Technical Debt
47% of development resources are spent maintaining existing code, stifling innovation and limiting ability to implement new AI features.
AI Expertise Gap
Lack of AI expertise and hiring challenges are causing roadmap delays, with 40% of small/mid-sized ISVs delaying their AI roadmaps.
Revenue Pressure
ISVs must maintain revenue and margin growth while engaging in costly, long-tail modernization, especially challenging with PE firms optimizing for 3-5 year valuations.
Your Opportunity: Bridge the AI Knowledge Gap
YOU are a trusted steward of your clients’ unstructured knowledge
Unstructured knowledge is the ground truth—and the fuel—for Generative AIGround Truth Provider
Without ground truth, Generative AI has limited usefulness in business
Without grounding in accurate information, Generative AI has limited business usefulness. As a trusted steward of your clients' unstructured knowledge, you have the unique opportunity to bridge this critical gap.
Retrieval-Augmented Generation: The Essential AI Bridge
1. Retrieve
Find relevant content from trusted knowledge sources
2. Process
Extract context and meaning from unstructured information
3. Augment
Combine retrieved knowledge with AI language capabilities
4. Generate
Deliver accurate, sourced responses in natural language
The RAG Implementation Challenge
Accuracy Challenges
Your clients’ content is updated frequently
Your clients’ content is a mix of digitally borne and not
Your clients’ content contains schematics and hand-written text
Your clients aren’t inclined to trust generated answers
Your clients’ questions are complex
Scale Requirements
Your clients have large volumes of content
You must support large question volume
You have strict system latency SLA
Your clients’ content is stored in disparate systems and in a variety of file types
Security
Your clients’ content and queries must be kept secure
Your solution cannot include model training on client content
Responses limited to content accessible to the questioner
Your clients prohibited from cloud-based AI
Time & Risk
You must demonstrate value & ROI potential in weeks/months, not quarters
You’re concerned about risk and cost of a “build” strategy
You lack resources to develop your own tools and pipelines
Why Most RAG Solutions Fall Short
Time & Resource Constraints
Need to demonstrate ROI in weeks, not quarters, with limited AI expertise and development resources
Technical Complexity
Building effective RAG pipelines requires specialized knowledge in vector databases, embedding models, and prompt engineering
Scaling Difficulties
Homegrown solutions often collapse under enterprise-scale content volumes and query loads
Security Vulnerabilities
DIY approaches frequently lack robust security controls and compliance features needed for enterprise data
Pryon: Your Complete RAG Solution
Enterprise-Ready Platform
Purpose-built RAG platform designed for enterprise scale, security, and accuracy requirements without lengthy development timelines.
Fast Implementation
Demonstrate value to clients in weeks instead of months with our pre-built connectors and turnkey deployment options.
Complete Integration
Seamlessly embed Pryon's capabilities into your existing solutions through robust APIs and flexible deployment models.
Competitive Advantage
Deliver AI-powered experiences that meet market demand while maintaining your position as your clients' trusted advisor.
RAG Solution
Meets security and accuracy requirements
Fast Implementation
Experience value in weeks with pre-built connectors
API Integration
Deliver AI-powered experiences for a competitive edge