Enterprise AI Memory Infrastructure

Governed Customer Memory
for Enterprise AI Agents

The secure memory layer that helps AI support agents remember customer history, cite sources, enforce compliance, and deliver better customer experiences.

50+ Patents
Microsoft Founder
Enterprise Ready
Working POC

Integrates with your enterprise stack

Salesforce Zendesk ServiceNow Microsoft Workday SAP

Product

Memory that knows your customer.
Context your agents can trust.

A governed memory layer that surfaces everything your AI agent needs — in real time, with full auditability.

Customer Memory Card
● Live
Customer Profile
SR
Sarah Reynolds
Enterprise · Acme Corp · Since Jan 2021
Gold TierSLA PriorityEscalation Risk
Current Issue
SSO authentication failing after domain migration
Channel: Voice → CRM · 4 min ago · Ticket #TK-88291
Previous Tickets
#TK-77041API rate limit exceededResolved
#TK-72190SAML config issueResolved
#TK-68044Billing discrepancy Q3Open
SLA Status
Response
2h 12m left
Resolution
48m left
AI Summary
Customer has 3 prior SSO-related escalations. Likely cause: Azure AD tenant ID mismatch post-migration. Recommended action: Re-provision SAML metadata in admin portal.
Sources:KB-4421TK-72190Policy v2.4
Compliance Controls
GDPR
SOC 2
HIPAA
Retention: 90d

Customer Memory Card

Every customer interaction,
perfectly in context.

Your AI agents get a complete, governed view of each customer — their history, open issues, SLA status, and compliance constraints — before they say a word.

Identity Resolution
Unify customer identity across every channel and system of record.
Source Attribution
Every AI insight is linked to its source — KB articles, tickets, policies.
Memory Governance
Enforce retention policies, access controls, and compliance rules automatically.

Capabilities

Built for enterprise.
Designed for trust.

Six foundational capabilities that make AI agents reliable in production — not just in demos.

Identity Resolution
Merge fragmented customer identities across CRM, helpdesk, voice, and email into a single governed profile.
Customer Memory Graph
A knowledge graph of every customer interaction, enriched with semantic context and temporal history.
Memory Governance
Centrally define what agents can remember, for how long, and under what conditions — with full audit trail.
Source Attribution
Every fact the agent uses is traceable to a source, eliminating hallucination risk in regulated environments.
Retention Controls
Configurable retention schedules by data category, customer segment, and regulation. Right to erasure handled automatically.
AI Agent Context
Surface the right memory at the right moment — structured for LLMs, latency-optimized, with policy enforcement at the prompt layer.

Leadership

JN
Jagadish Nomula
Founder & CEO
50+Patents
15+Years
MSFTAlumni
"Enterprise AI doesn't fail on intelligence — it fails on memory. Agents that can't remember, can't comply, and can't be trusted."

Jagadish Nomula is a veteran of Microsoft's enterprise AI and cloud infrastructure teams, where he spent over a decade building systems at the intersection of large-scale data and organizational intelligence. With more than 50 granted patents in AI, identity, and distributed systems, he brings deep technical and product insight to the problem of enterprise memory governance.

He founded Metaworkers.AI after identifying a critical gap: enterprise AI deployments consistently break down not due to model capability, but due to the absence of a governed, auditable memory layer that can operate at scale across regulated industries.

Microsoft Alumnus 50+ Patents Enterprise AI Working POC

Get Started

Give Your AI Agents
a Memory They Can Trust

Transform customer support with governed, compliant, enterprise memory.