Give your AI agents a reasoning engine they can trust
Your agents are only as good as the knowledge behind them. Vrin structures enterprise documents into a temporal knowledge graph and reasons across it, so your agents deliver traceable answers, not hallucinations.
Why your AI agents fall short
You built a great agent. But when enterprise customers ask hard questions that span multiple documents, need temporal context, or require audit trails, your agent guesses.
Agents hallucinate without structured knowledge
Vector search returns similar-looking text chunks. Your agents need actual facts with relationships: who, what, when, and how they connect.
No provenance means no trust
When your enterprise customer asks 'where did the AI get that answer?', you need to point to specific facts from specific documents. Not 'it was in the embeddings.'
Data sovereignty is non-negotiable
Your enterprise customers require their data stays in their cloud. You need a reasoning layer that supports isolated deployments per customer.
Building in-house takes 6-12 months
Custom knowledge graph pipelines, fact extraction, multi-hop traversal, temporal versioning. Your team should ship product features, not infrastructure.
Connect. Reason. Trace.
Connect your customer's knowledge
Vrin connects to your customer's data sources (documents, APIs, databases) and extracts structured facts into a temporal knowledge graph. Each customer gets an isolated knowledge graph in their own cloud.
Your agents reason, not just retrieve
When your agent asks Vrin a question, it doesn't just return similar text. It decomposes the question, traverses entity relationships across documents, and assembles precisely the context your LLM needs.
Every answer is traceable
Vrin returns not just the answer context, but the specific facts it used, the documents they came from, and confidence scores. Your agents can cite sources, building trust with enterprise customers.
One reasoning engine, every vertical
Whether you're building for legal, finance, healthcare, or support, your agents need the same thing: structured knowledge reasoning with traceable answers.
Trace answers to specific clauses and precedents
Legal agents need to cite exactly where an answer came from: which contract clause, which regulation, which precedent. Vrin's fact-level provenance gives your agents the audit trail regulated industries demand.
Reason across filings, reports, and market data
Financial agents need to connect data across quarterly reports, analyst notes, and regulatory filings, with temporal awareness. Vrin's bi-temporal knowledge graph tracks what was true in Q2 vs Q3, not just what's latest.
Connect clinical notes, research, and guidelines
Healthcare agents deal with patient data, clinical research, and treatment guidelines that evolve. Vrin ensures every recommendation traces to specific evidence, with automatic conflict resolution when guidelines change.
Answer complex tickets across all knowledge sources
Support agents need to reason across tickets, docs, Slack threads, and product notes simultaneously. Vrin's multi-hop reasoning connects the dots that keyword search misses, with cited sources for every answer.
A few lines to add reasoning
Drop-in integration via Python SDK, MCP server, or REST API. Your agents get structured knowledge reasoning without changing your architecture.
from vrin import VRINClient
client = VRINClient(api_key="vrin_your_api_key")
# Your agent asks Vrin for reasoning
result = client.query(
"What changed in ACME's revenue between Q2 and Q3?",
query_depth="research"
)
# Traceable answer with sources
print(result["summary"])
for source in result["sources"]:
print(f" - {source['document']}: {source['fact']}")One integration. Hundreds of enterprise deployments.
You build the agent. Vrin handles the knowledge reasoning. Each of your enterprise customers gets their own isolated knowledge graph in their own cloud, with data sovereignty built in, not bolted on.
Ship faster
Skip 6-12 months of infrastructure building. Add knowledge reasoning to your agent in days.
Data isolation
Each customer's knowledge graph runs in their own cloud. Enterprise-grade data sovereignty per deployment.
Improves over time
Vrin's knowledge graph consolidates and strengthens with every query. Your agents get smarter the more they're used.
Independently verified accuracy
Published results on standard academic benchmarks. Not marketing claims. Reproducible measurements.
Common questions
Give your agents the reasoning they deserve
Start with the free tier. Integrate in minutes. Scale to hundreds of enterprise deployments.