Everything you need to
know about Scirevance

Scirevance is an AI-powered knowledge management platform designed for enterprise organizations. It captures, organizes, connects, and surfaces the institutional knowledge that lives across your people, documents, systems, and conversations — making it permanently accessible and actionable.

Unlike a traditional wiki or search tool, Scirevance functions as a cognitive intelligence layer: it understands relationships between concepts, preserves context and rationale alongside raw information, and delivers relevant knowledge directly into the workflows where your teams need it.

Scirevance is built for mid-market and enterprise organizations where knowledge transfer, retention, and accessibility are strategic priorities. We serve industries including financial services, professional services, manufacturing, healthcare, and technology.

Within those organizations, our primary buyers are Chief Knowledge Officers, Chief Operating Officers, and heads of IT or digital transformation — though the platform serves everyone from frontline workers to senior leadership.

Search tools find documents. Wikis store pages. Scirevance understands knowledge. The distinction matters: a search tool returns a list of files that contain a keyword; Scirevance surfaces the answer, the context, and the relationships behind it — drawing from every source in your organization simultaneously.

Traditional wikis also require disciplined, manual upkeep. Scirevance captures knowledge continuously from your existing workflows, automatically structures it, and keeps it current — so you get an accurate, living picture of what your organization knows without relying on employees to document everything by hand.

Most organizations are live within two to four weeks of signing. That includes connecting your existing data sources, configuring permissions, and onboarding your initial user groups. Our implementation team guides you through every step.

The platform begins delivering value immediately — the knowledge graph continues to deepen and improve as more of your organizational data is ingested and as users interact with the system over time.

Scirevance ingests a broad range of knowledge types, including:

Structured data: databases, spreadsheets, CRM records, ERP outputs, project trackers

Unstructured data: documents, PDFs, emails, meeting transcripts, Slack and Teams conversations, SOPs, runbooks, and internal wikis

Tacit knowledge: through structured capture workflows, interview templates, and intelligent prompts that help subject-matter experts articulate what they know before it leaves the organization

Yes. Scirevance connects to the tools your teams already use. Out-of-the-box connectors cover Microsoft 365, SharePoint, Teams, Slack, Google Workspace, Salesforce, SAP, Confluence, Jira, Notion, and more. For proprietary or custom systems, our API and webhook framework allows connections to virtually any internal platform.

Integration does not require replacing your existing tools — Scirevance sits alongside them as a unifying intelligence layer, drawing knowledge in and making it accessible from wherever your people work.

Scirevance applies distinct processing pipelines to each type. Structured data is normalized, indexed, and linked to relevant concepts in the knowledge graph. Unstructured content — documents, transcripts, messages — is processed through our NLP engine to extract entities, relationships, and intent before being integrated into the same graph.

The result is a unified knowledge representation that lets you query across all your data in natural language, regardless of the source format or system of origin.

Both. Scirevance supports a contributor model where any authorized employee can submit knowledge — whether through a structured capture workflow, a simple text entry, or by tagging an existing document as authoritative. Admins control contribution permissions at the team, role, or individual level.

Automated ingestion handles the bulk of knowledge capture from connected systems, so the platform delivers value even in organizations where employee-driven documentation is limited. Manual contributions layer on top to capture expert context that automated pipelines cannot infer.

The Scirevance platform interface is available in English, with additional languages available on enterprise plans. Our AI models support knowledge ingestion and retrieval in over 40 languages, meaning your organization can capture and query content in the language it was created — without requiring translation as a preprocessing step.

Contact our team to discuss multilingual requirements for your specific deployment.

Scirevance uses large language model technology similar to what powers ChatGPT, but the similarity ends there. General-purpose AI like ChatGPT draws on public internet training data and has no knowledge of your organization. Scirevance's AI is grounded exclusively in your proprietary knowledge — every response it generates is anchored to sources in your own knowledge graph, with citations you can verify.

This distinction is fundamental. It means Scirevance functions less like a search engine and more like a trusted internal advisor — one who has read everything your organization has ever produced and can instantly surface the most relevant insight for the question at hand.

No. Your organization's data is never used to train shared or public AI models. Scirevance processes your data solely to build and serve your private knowledge graph. Each customer's environment is fully isolated.

If fine-tuning is performed on your tenant's behalf (available on select enterprise tiers), that fine-tuning occurs on models scoped exclusively to your organization and is never shared with other customers or incorporated into Scirevance's general models.

We address hallucinations through retrieval-augmented generation (RAG) — a technique that requires every AI-generated response to be grounded in specific documents and data points from your knowledge graph. The system returns citations alongside answers, so users can always trace a response back to its source.

When Scirevance cannot find a reliable answer in your organizational knowledge, it says so explicitly — rather than fabricating a plausible-sounding response. Confidence indicators and source quality scores provide additional transparency into how the AI arrived at a given answer.

Scirevance tracks document age, usage patterns, and versioning signals to surface staleness warnings automatically. Admins and content owners receive periodic review prompts for high-traffic knowledge items, and users see recency indicators when querying information that may be outdated.

For connected data sources, updates in the source system are reflected in the knowledge graph in near-real time. For manually contributed knowledge, governance workflows allow teams to assign review cycles and expiry dates to ensure currency over time.

By default, Scirevance is hosted on enterprise-grade cloud infrastructure in the United States, with regional data residency options available in the EU, APAC, and Canada for organizations with jurisdictional requirements.

All data is encrypted at rest (AES-256) and in transit (TLS 1.3). We can provide a detailed data flow diagram and infrastructure overview as part of our enterprise evaluation process.

Yes. Scirevance maintains SOC 2 Type II compliance, with annual third-party audits covering security, availability, and confidentiality. Our security program also aligns with ISO 27001 principles and GDPR requirements for organizations operating in or serving the European Union.

Our compliance documentation — including our SOC 2 report, penetration test summaries, and data processing agreements — is available to prospective customers under NDA as part of the enterprise due diligence process.

Scirevance enforces role-based access control (RBAC) at both the data source and knowledge item level. Permissions can be inherited from your existing identity provider — we support SSO via SAML 2.0 and OIDC, with native integrations for Azure Active Directory, Okta, and Google Identity.

Critically, Scirevance respects the permissions of your source systems. If a user cannot access a document in SharePoint, they will not be able to see knowledge derived from that document in Scirevance — even if a colleague who does have access contributed it to the knowledge graph.

Yes. For organizations with strict data sovereignty requirements, Scirevance offers a Virtual Private Cloud (VPC) deployment where the platform runs within your own cloud account (AWS, Azure, or GCP). This means your data never leaves your infrastructure.

On-premises deployment is available for select enterprise customers. Please speak with our sales team to discuss your infrastructure requirements and the appropriate deployment model.

Scirevance is priced on an annual subscription basis, scaled primarily by the number of users and the volume of knowledge sources connected. Enterprise contracts include dedicated implementation support, custom SLAs, and expanded security and compliance features.

We do not publish a standard pricing table because deployments vary significantly in scope — a single-team pilot looks very different from an organization-wide rollout. Contact our team to receive a proposal tailored to your requirements.

Yes. We offer a structured pilot program — typically eight to twelve weeks — designed to give your organization a meaningful proof of concept with real data and real users. The pilot is scoped to a defined use case (for example, onboarding acceleration or regulatory knowledge retrieval) and concludes with a measurable outcome report.

Pilots are not free-form product trials. They are collaborative engagements with your implementation team, designed to demonstrate ROI within a specific business context before a broader commitment is made.

Every Scirevance customer receives access to our support portal, documentation library, and standard email support with guaranteed response times. Enterprise plans include a dedicated Customer Success Manager, priority technical support, and quarterly business reviews to ensure the platform continues to align with your evolving needs.

We also provide an active customer community where knowledge managers and platform administrators share best practices, integration patterns, and governance frameworks across industries.

Yes. Scirevance includes migration tooling for common knowledge platforms including Confluence, SharePoint, Notion, Guru, and proprietary wikis. Our implementation team conducts an audit of your existing content, designs a migration plan that preserves structure and metadata, and validates the imported knowledge graph before go-live.

Migration is typically completed in parallel with initial integrations, so your existing knowledge is available in Scirevance from day one — not months into the deployment.

The Scirevance Meaning application helps solo practitioners and small to mid-sized teams turn fragmented information into structured insight. It ingests notes, transcripts, documents, observations, quotes, evidence, and market signals, then organizes them into empathy maps, semantic profiles, topic clusters, hypotheses, contradictions, decision trees, risks, and visual knowledge graphs.

Instead of leaving users with disconnected data points, the application helps reveal the emotional, behavioral, and strategic meaning behind the material — giving consultants, students, educators, researchers, analysts, journalists, advisors, and teams a clearer rationale before they move into strategy, recommendations, investment decisions, or operational action.

The Scirevance Knowledge and Decisioning cognitive intelligence platform creates an environment for the enterprise to answer Why. Meaning extraction provides the front-end sense-making layer — surfacing signals, contradictions, stakeholder perspectives, risks, hypotheses, and evidence from complex information sets. The platform extends that capability into enterprise-scale knowledge, process, and decision intelligence, connecting meaning to workflows, organizational memory, change initiatives, strategic execution, AI-enabled advisory systems, and the creation of narratives.

The result is a platform that not only helps teams understand what information means, but also helps organizations retain that understanding, operationalize it, and apply it across decisions, transformation programs, governance, and enterprise learning. While a standalone system, it also acts as an intelligence layer on top of enterprise applications. Scirevance enhances — not replaces — existing systems, and most importantly harvests institutional knowledge to answer the simplest to the most daunting questions.