See how Vrin resolves complex support tickets fasterWatch
VrinVRiN
Now Available

AI Deep Reasoning
for your Data

The knowledge infrastructure layer that enables deep reasoning across your documents & apps for any AI model

Trusted by developers at

UC Davis
The Challenge

Why Traditional AI Fails Your Team

Your company data lives in dozens of disconnected apps. No AI can see across all of them—until now.

Problem #1

Your Data Is Scattered Everywhere

Slack, Notion, Drive, Salesforce, Zendesk, Jira... Your team's knowledge is scattered across dozens of disconnected tools.

See VRIN Solution
Problem #2

Search Isn't Reasoning

Most AI tools retrieve text snippets based on keyword matching. They find documents—but can't connect the dots. Complex questions that require tracing relationships across your data get fragments, not answers.

Problem #3

Building This In-House? Don't.

Custom RAG pipelines take 6-12 months, require ML expertise, and you'll still spend months building integrations. Your engineers should be shipping products, not infrastructure.

One Connected Knowledge Base

All Your Apps. One AI That Understands Them.

VRIN Knowledge Graph - All your apps connected into one unified AI

Multi-Hop Reasoning

AI That Connects the Dots Across Everything

Ready Today, Not Next Year

Skip the Science Project. Start Asking Questions.

vrin_quickstart.py
from vrin import VRINClient

# Initialize with your API key
client = VRINClient(api_key="vrin_...")

# Insert knowledge from your documents
client.insert(
    content="Q4 roadmap includes...",
    title="Product Roadmap 2025"
)

# Query with multi-hop reasoning
response = client.query("What's our Q4 roadmap?")
print(response["summary"])   # AI-generated answer
print(response["sources"])   # Source documents
How It Works

How Vrin Works

Three steps to answers your team can trust.

Bring your scattered knowledge into one place.

Your team's knowledge lives across dozens of tools — Notion, Slack, Google Drive, Confluence, SharePoint, and more. Vrin connects to your existing sources and ingests everything without requiring anyone to change how they work.

Turn documents into a living knowledge graph.

Vrin doesn't just index your files — it reads them. Every document is broken into entities, relationships, and timestamped facts, then woven into a graph that captures how your knowledge actually connects. Not keywords. Structure.

Ask complex questions. Get cited answers.

Ask anything — from simple lookups to questions that span multiple documents, teams, and time periods. Vrin reasons across your knowledge graph, connecting facts no single search result could surface. Every answer traces back to source documents.

Vrin Chat — ask anything about your knowledge

Vrin Chat

Ask questions, get cited answers from your knowledge base.

Core Features

What's inside VRIN?

Teams choose VRIN because it transforms AI from forgetful assistants into expert systems with persistent memory and deep reasoning.

Facts-First Memory

Knowledge graphs that store facts with provenance, not just embeddings. Build institutional memory that compounds over time.

Multi-Hop Reasoning

Constraint-solver engine that traces relationships across documents and time to answer complex 'why' questions.

AI Specialization

Define domain experts for sales, engineering, finance with custom reasoning patterns and knowledge focus areas.

Gets Smarter With Every Query

VRIN learns which retrieval strategies work best for your knowledge base. The more your team uses it, the more accurate and faster it becomes.

BYOC/BYOK Security

Deploy in your cloud or ours. Complete data sovereignty, zero vendor lock-in, enterprise-grade isolation.

Temporal Consistency

Track how facts evolve over time with automatic conflict resolution and versioning for changing information.

System Architecture

How Vrin Learns & Reasons

Two pipelines, one unified knowledge engine. Documents are structured into an enterprise knowledge graph, then queries are reasoned over — not just searched.

Vrin system architecture — knowledge ingestion pipeline and query reasoning pipeline with hybrid structured knowledge stores
Pricing Plans

Choose Your Intelligence Level

From individual developers to enterprise deployments, VRIN scales with your needs. All plans include our revolutionary user-defined AI specialization.

Builder
Free

Perfect for developers and small teams getting started

What's Included:

  • 100k chunks / 100k edges
  • 5k queries/month
  • Shared reasoning infrastructure
  • Basic memory & CBOM
  • API key authentication
  • CSV/S3 connectors
  • Community support
Most Popular
Team

For growing teams that need dedicated infrastructure

What's Included:

  • 2M chunks / 3M edges
  • 100k queries/month
  • Dedicated indices
  • Full CBOM & TTL
  • Basic RBAC
  • + Postgres/Drive connectors
  • Email support (48h SLA)
  • Extra storage/queries available
Business
Enterprise Ready

For enterprises requiring security and compliance

What's Included:

  • 10M chunks / 15M edges
  • 500k queries/month
  • Dedicated + VPC peering
  • Full + compliance exports
  • SSO/SAML + SCIM
  • + Slack/Jira/Confluence
  • Priority support (8-12h SLA)
  • Compliance exports, private LLM
Enterprise
Custom

Custom solution for large-scale deployments

What's Included:

  • Custom (100M+ chunks; 150M+ edges)
  • Custom queries (SLA'd)
  • Private/VPC or on-premises
  • Full + auditor packs
  • SSO/SAML, SCIM, data residency
  • All + custom connectors
  • Dedicated TAM & DSE
  • On-prem, managed upgrades

All Plans Include

Revolutionary capabilities that set VRIN apart

Core Intelligence

  • User-defined AI specialization
  • Multi-hop reasoning across documents
  • Smart deduplication (40-60% savings)
  • Temporal knowledge graphs
  • Lightning-fast fact retrieval (<1.8s)

Enterprise Features

  • Complete audit trails
  • Explainable AI responses
  • High-confidence fact extraction
  • Cross-document synthesis
  • Production-grade security

Questions about pricing or need a custom solution?

ROI Guarantee: VRIN typically pays for itself within the first quarter through reduced engineering costs, faster time-to-market, and superior analysis quality.