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The hard problems we solved
Most "memory and context" solutions are just better RAG. We built infrastructure that understands causality.
"Standard RAG can't handle temporal conflicts"
— Infrastructure Challenge
Change detection across heterogeneous systems
"Agent can't tell which document is current"
— Production Blocker
Temporal causality mapping with full provenance
"Same entity has different names across systems"
— Data Consistency
Cross-platform entity resolution
"Two docs both updated today with conflicting data"
— Agent Reliability
Deterministic conflict resolution via causality
"No audit trail for why information changed"
— Compliance Requirement
Track WHO changed WHAT and WHY with full context
"Agents hallucinate when context is unclear"
— Accuracy Problem
Return structured provenance with every response
"Policy changes don't propagate to all systems"
— Synchronization
Real-time sync with communication context
"Can't trace decision lineage across tools"
— Decision Tracking
Map decisions to Slack, email, meetings, docs
"Agent queries are slow with large context windows"
— Performance
Intelligent pruning returns only relevant context
"Standard RAG can't handle temporal conflicts"
— Infrastructure Challenge
Change detection across heterogeneous systems
"Agent can't tell which document is current"
— Production Blocker
Temporal causality mapping with full provenance
"Same entity has different names across systems"
— Data Consistency
Cross-platform entity resolution
"Two docs both updated today with conflicting data"
— Agent Reliability
Deterministic conflict resolution via causality
"No audit trail for why information changed"
— Compliance Requirement
Track WHO changed WHAT and WHY with full context
"Agents hallucinate when context is unclear"
— Accuracy Problem
Return structured provenance with every response
"Policy changes don't propagate to all systems"
— Synchronization
Real-time sync with communication context
"Can't trace decision lineage across tools"
— Decision Tracking
Map decisions to Slack, email, meetings, docs
"Agent queries are slow with large context windows"
— Performance
Intelligent pruning returns only relevant context
integrations and growing
Connect your entire stack — we track causality across all sources. If we don't have it, we can build it.
Google Drive
Google Docs
Google Sheets
Google Slides
Box
Dropbox
SharePoint
Microsoft Word
Microsoft Excel
Microsoft PowerPoint
Notion
Confluence
Asana
Airtable
Linear
Jira
Salesforce
Attio
HubSpot
Gong
Grain
Intercom
Zendesk
Slack
Microsoft Teams
Gmail
Outlook
Google Calendar
NetSuite
Quickbooks
Sage Intacct
Xero
Workday
GitHub
Hibob
Shopify
Ashby
+ Custom integrations via API
The Numbers
Infrastructure ROI for production-ready agents
reduction in agent hallucination rates
faster agent deployment vs building in-house
provenance tracking for every agent response
integration time with Meridian
Infrastructure that works across all your agents
Don't rebuild conflict resolution for every agent type. Plug into Meridian once and get production-ready causality and provenance across coding agents, sales agents, customer service, and more.
Common Concerns
Why not just use better RAG?
RAG returns documents. We return deterministic answers. When your agent hits conflicting pricing ($10K vs $12K), RAG gives you both and hopes for the best. We trace causality to determine which is correct and why.
Can't we build this ourselves?
You could, but it's infrastructure work, not product work. Building causality mapping, temporal conflict resolution, and cross-system entity resolution takes 6-12 months. We let you ship agents in weeks, not quarters.
How does this work with our existing agents?
Simple API integration. Your agents query our endpoint when they need context. We return structured responses with full provenance. Works with Devin, custom agents, LangChain, or any agent framework.
What about data security and compliance?
We provide complete audit trails for every agent decision. Track WHO changed WHAT, WHEN, and WHY. Your data stays in your infrastructure. We only access what you explicitly connect.
Still have questions?
Book a Demo