Enterprise Memory for Agentic AI

Enterprise Memory
for Agentic AI

Deploy the most accurate AI agents and applications grounded in trusted enterprise knowledge

Learn how Pryon speeds the path
from Proof of Concept to production

Trusted By

Enterprises

&

U.S. Agencies

U.S. Department 
of Defense

U.S. Department 
of the Air Force

U.S. Department 
of the Army

U.S. Department 
of the Navy

U.S. Department 
of the Treasury

The Problem

95% of AI projects languish
in Proof-of-Concept purgatory due to memory failure.

Chunking strategies shred document meaning and/or 10× ingestion compute

Duplicate versions and stale files trigger repeated full re-indexes

Manual PII scrubbing and ACL tagging invite compliance slips

Ingestion pipelines aren’t monitored, so errors and costs surface late

Embedding model upgrades force costly re-embedding and quality drift checks

Keyword-plus-vector tuning lacks stable defaults across datasets

Missing query rewrites or decompositions return “no results” too often

Tail-latency spikes under load break response-time targets

No precision/recall tracking leaves relevance issues invisible

Per-query permission filters double latency or risk data leaks

Separate collections with incompatible embedding spaces hurt recall

Multi-hop retrieval chains multiply token usage for marginal gains

Long-tail or off-topic questions fall through and spark hallucinations

Semantic similarity alone overlooks exact IDs, part numbers, and dates

Over-fetching of chunks overflows context windows and inflates LLM spend

Parsers silently fail on PDFs, tables, images, or audio

Chunking strategies shred document meaning and/or 10× ingestion compute

Duplicate versions and stale files trigger repeated full re-indexes

Manual PII scrubbing and ACL tagging invite compliance slips

Ingestion pipelines aren’t monitored, so errors and costs surface late

Embedding model upgrades force costly re-embedding and quality drift checks

Keyword-plus-vector tuning lacks stable defaults across datasets

Missing query rewrites or decompositions return “no results” too often

Tail-latency spikes under load break response-time targets

No precision/recall tracking leaves relevance issues invisible

Per-query permission filters double latency or risk data leaks

Separate collections with incompatible embedding spaces hurt recall

Multi-hop retrieval chains multiply token usage for marginal gains

Long-tail or off-topic questions fall through and spark hallucinations

Semantic similarity alone overlooks exact IDs, part numbers, and dates

Over-fetching of chunks overflows context windows and inflates LLM spend

Chunking strategies shred document meaning and/or 10× ingestion compute

source:
MIT Project NANDA, The GenAI Divide: State of AI in Business 2025, p. 7 (July 2025)

The Pryon Solution

Pryon's Memory Layer drives AI projects into production, fast.

Unify all Enterprise Intelligence for...

How We Do It

Tap into your organization's
data intelligently

Advanced Data Prep

Management Made Simple

Secure Architecture

Dynamic Retrieval

Advanced Data Preparation

Turn raw content into AI-ready knowledge without manual preprocessing. Whether it’s PDFs, scans, slides, spreadsheets, diagrams, or anything else, we meet your data where it’s at.

Management Made Simple

Management Made Simple

Focus on what matters most to you, instead of index management. We provision, tune, and scale the underlying vector and keyword indexes for you, eliminating the overhead of database ops.

Secure Architecture

Secure Architecture

Whether you deploy Pryon in the cloud or on-prem, document-level access controls ensure data security while fine-grained attributions ensure transparency and auditability.

Dynamic Retrieval

Dynamic Retrieval

Ensure accuracy with every response. Pryon leverages hybrid search, intelligent query expansion, re-ranking, iterative deep dives, and context sufficiency checks.

Advanced Data Prep

See Pryon in Action

Our solutions work across a multitude of industries

Defense & Intelligence

State and Local Government

Defense & Intelligence

State and Local Government

Smart enterprises choose Pryon

Learn how a Fortune 50 technology company uses Pryon RAG Suite to power a support chatbot for its massive consumer base, deflecting tens of thousands of questions annually and increasing customer lifetime value by $1.7M.

Technology Company

Learn how a leading energy corporation uses Pryon RAG Suite to swiftly deliver critical information to nuclear engineers, reducing outage times and driving faster issue resolution.

Energy Corporation

Pryon RAG Suite enables personnel to unlock instant answers — in 80 languages — from 150,000+ pages of content.

Learn how a world-leading NGO uses Pryon RAG Suite to deliver decades of world-changing ideas and research to industry and government leaders in milliseconds.

Non-Governmental Organization

Learn how a multinational technology corporation partners with Pryon to provide a fully interactive solution to a city government for citizen engagement and self-service.

Large Multinational

Technology Company

About Us

From the AI Pioneers who brought you Alexa, Siri, and Watson

Pryon transforms how the world’s leading enterprise and government organizations operate by enabling them to deliver AI apps and agents grounded in trusted content.

We have so much more to say.

October 23, 2025

Pryon Appoints AI Veteran Hamsa Buvaraghan as SVP/Head of Product

Google and Microsoft Product Veteran Joins Pryon to Lead Company's Enterprise AI Memory Vision and Strategy

October 23, 2025

Why Hamsa Buvaraghan Joining Pryon Is a Watershed Moment for Enterprise AI

Welcome to Pryon, Hamsa. Let's build the future.

October 15, 2025

It’s the Engine, Not the Assembly Line: Getting Under-the-Hood with OpenAI’s Agent Builder

OpenAI just gave the community a fantastic assembly line. But if the components inside the system are bargain-basement, your shiny new agent will roll out the lot clunky and coughing smoke.

Let's
get started today!

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