Organization-wide insight infrastructure, governed and secure.
Usedge consolidates every business unit, tool, and customer signal into one governed Research OS: EU-hosted, ISO 27001 & SOC 2 Type II (certification Q4 2026), with SSO, role-based access, and agentic workflows under full governance controls.
Organization-wide insight infrastructure
4,460
Total insights
367
Cross-BU reuses
100%
Audit-ready
Trusted by enterprises that can't afford research slop
Why enterprise insight remains fragmented
Not because of a lack of research. Because research has no infrastructure. Each team builds its own system; nothing connects; nothing compounds.
Insights siloed across business units and tools
Research lives in Dovetail, findings in Notion, customer signals in Qualtrics, and analytics in a separate stack. No team can see what another has already learned. The same customer problems get re-researched every quarter across every BU.
Tool sprawl and vendor risk at scale
A large org runs 8 to 14 research tools across teams: per-seat licensing, inconsistent methods, overlapping capabilities, and no central governance. Vendor onboarding, security reviews, and data processing agreements multiply for each. Consolidation becomes a full-time problem.
Security, data residency, and AI governance requirements
Regulated industries and large enterprises cannot deploy tools that store data in unspecified jurisdictions, run AI models on personal research data, or lack full audit trails. Most research tools were not built with enterprise security and AI governance as a first principle.
Research ROI is diffuse and hard to surface to the C-suite
Research influences decisions, but the causal chain from a study to a revenue outcome or a churn reduction is rarely documented. Leadership sees research as a cost center, not an asset, because the impact is never captured in a form that connects to business metrics.
No governed layer unifying quant, qual, and customer signals
Analytics dashboards, NPS programs, qualitative studies, and CX feedback all generate customer signals but they never converge. Without a governed layer that consolidates and governs all three, enterprise insight is always partial.
The metrics that move when enterprise insight has infrastructure
Consolidation, governance, and compounding knowledge produce measurable business outcomes, ones the C-suite can see.
Org-wide insight reuse
Insights created once, surfaced across every business unit automatically
Time-to-insight across BUs
Any team, any BU: a governed insight available the same day
Research ROI
Documented impact connecting studies to business outcomes for the C-suite
Tools consolidated
One governed platform replacing multiple point tools and their vendor overhead
Teams on governed platform
Org-wide adoption with consistent methods, permissions, and audit trails
Compliance posture
Audit-ready from day one. One security review covers the entire org.
Infrastructure for enterprise insight at scale
Six capabilities that turn a fragmented research stack into a governed, compounding system of record for the entire organization.
One governed platform across the org
Every business unit on the same system, with role-based access scoped to team, project, and data type. Research programs consolidated, methods standardized, and institutional knowledge shared across the organization.
Enterprise-grade security and AI governance
EU-hosted, ISO 27001 & SOC 2 Type II (certification in progress, Q4 2026), GDPR-native. AI operates only on governed, first-party data. Agent actions are scoped, permissioned, and logged. One security review covers the entire enterprise deployment.
Quant, qual, and customer signals in one repository
Studies, NPS verbatims, CX feedback, app reviews, and analytics anomalies unified into a single governed Insights Repository. For the first time, enterprise insight is not partial.
Agentic workflows with enterprise controls
Research Agents operating at org scale: Cross-BU synthesizers, governance reviewers, and executive digest writers. All agent actions are governed, permissioned, and auditable. Speed without control risk.
SSO, roles, and fine-grained permissions
SAML 2.0 / OIDC SSO integration with your existing identity provider. Role-based access control scoped to workspace, project, team, and data sensitivity. Principle of least privilege enforced by default.
Enterprise system integrations
Insights flowing into Jira, Confluence, Salesforce, Slack, Teams, and your data warehouse. Research does not stay in research tools; it flows to every system where enterprise decisions are made.
The governed insight layer for the enterprise
Every signal in; every decision out. One auditable, governed system of record between your customer data and every team that needs to act on it.
Signals in: all sources
Qualitative studies
Moderated · Unmoderated · Diary
Quantitative datasets
NPS · Surveys · Analytics
CX signals
Support · Reviews · Feedback
External sources
Market reports · Competitor data
Governed Insights Repository
4,460 atomic insights
Searchable, tagged, evidence-backed
Trust Index
Confidence score on every finding
Cross-BU dedup
91% overlap detection, AI merge
Full audit trail
Every action logged, immutable
Decisions out: everywhere
Leadership briefings
Executive Digest, Board-ready
Product roadmaps
Jira, Linear, evidence-linked
CX improvements
Loop-closed to support + product
Agent synthesis
Cross-BU signals, instant
Security and governance controls
EU Data Residency
All data hosted on European servers
ISO 27001
Certification in progress, Q4 2026
SOC 2 Type II
Certification in progress, Q4 2026
GDPR Native
Consent, erasure, portability built in
SSO / SAML
SAML 2.0 / OIDC with your existing IdP
RBAC
Role-scoped access by workspace, team, project
Audit Logs
Immutable, complete audit trail for every action
AI Governance
Customer data never used to train external models
Enterprise system integrations
Agentic workflows at enterprise scale, under governance
Every agent operates within the permissions model. Actions are scoped, logged, and auditable. The organization gets speed without losing control.
Cross-BU Insight Synthesizer
Aggregates findings across all business units; surfaces org-wide signals.
Scans the governed repository across all team workspaces, identifies themes and patterns that cut across business unit boundaries, and produces a cross-BU synthesis report. Signals that no single team could see become visible at the org level.
Output
Cross-BU themes · Shared signals · Org-wide finding map
Governance and Compliance Reviewer
Checks studies and data handling against your organization's research policy.
Reviews active study protocols, consent configurations, participant data scope, and AI usage against your enterprise governance policy. Flags non-compliance before a study goes live, not after the data is collected.
Output
Compliance score · Policy flags · Remediation steps
Executive Digest Writer
Rolls org-wide insights into a leadership-ready briefing.
Synthesizes the most recent, highest-trust findings across the repository into a structured executive briefing: key customer signals, open opportunities, and evidence-linked recommendations. Board-ready, with a full citation trail.
Output
Executive brief · Key signals · Evidence citations · PDF-ready
Taxonomy and Standards Manager
Enforces one consistent taxonomy and tagging standard across the enterprise.
Detects inconsistent tagging, duplicate topics, and taxonomy drift as new insights are added from different teams. Suggests merges and standardizations so the repository stays navigable as the organization scales.
Output
Tag audit · Merge suggestions · Taxonomy health score
Why Usedge, not a collection of point tools
Enterprise research infrastructure cannot be assembled from best-of-breed point tools. The integration overhead, vendor risk, and governance gaps compound at scale.
Consolidated Research OS
One platform replaces a fragmented stack: studies, repository, quant analysis, and agents. Simpler, cheaper, and far more powerful than the tools it replaces.
Enterprise security and AI governance
EU-hosted, ISO 27001 & SOC 2 Type II (certification Q4 2026), GDPR-native. AI governance controls that procurement and legal teams can sign off on.
The single auditable system of record
One governed Insights Repository: quant, qual, and CX unified. Every finding traceable to its source. One system that auditors, regulators, and stakeholders can point to.
Agentic at org scale, with controls
Research Agents operating across business units, under permissions and audit trails. Org-scale speed without org-scale risk.
Five business units. One source of truth. A shared signal surfaced by morning.
Five business units, five siloed research stacks
Research, Product, CX, Marketing, and Customer Success each run their own tools, their own studies, and their own repositories. The same customer problem has been researched four times in the last 18 months across different BUs, none aware of the others.
From fragmented stack to governed system of record
Three steps to org-wide insight infrastructure that compounds as your organization grows.
Step 1
Deploy and connect
Usedge is deployed org-wide with SSO and role-based access per team. Existing studies, repositories, and data sources are migrated or connected. One security review, one DPA, one contract covers the entire organization.
Step 2
Govern and standardize
Research protocols are standardized across business units via shared templates and methodology scoring. A taxonomy is established and enforced by the Taxonomy Manager agent. Every team now produces comparable, reusable findings.
Step 3
Compound and act
The governed repository grows as every team adds research. Cross-BU signals surface automatically. Executive Digests route the most important findings to leadership. The more teams use it, the more powerful it becomes for all.
Governed, secure, consolidated
Organization-wide insight infrastructure that compounds. One governed platform, one source of truth, one security review for the entire enterprise.