RetrieveIT Review (2026): Federated Semantic Search Across Your Enterprise Tools

What Is RetrieveIT?

RetrieveIT is a federated semantic search platform that connects to your enterprise tools and makes all of them searchable from a single interface. Instead of switching between GitHub, Confluence, Jira, Google Drive, Gmail, SharePoint, and DocuSign to find what you need -- you ask RetrieveIT once and it searches all of them simultaneously.

The distinction from standard enterprise search tools is the AI layer. RetrieveIT does not return a list of documents. It reads your documents, understands the question, and generates a direct answer -- with citations linking back to every source it drew from.

Every answer is verifiable, auditable, and grounded in your organization's actual content. RetrieveIT is a multi-tenant SaaS product. Setup requires no infrastructure work -- connect your integrations via OAuth, wait for the initial sync, and search. Most teams are running within the first day.

Who It's For

RetrieveIT targets knowledge workers in mid-size and enterprise organizations who lose significant time searching across disconnected tools. The platform is used across engineering, legal, operations, HR, compliance, support, and executive teams.

High-fit use cases include:

• -Engineering teams searching across code, documentation, and project management simultaneously
• -Legal and compliance teams locating contracts, policy documents, and regulatory references across all repositories
• -Operations and support teams finding SOPs, past decisions, and institutional knowledge without knowing which system holds it
• -New hires accessing institutional knowledge independently without interrupting senior colleagues

Integrations: 11 Live OAuth Connectors

RetrieveIT connects to enterprise tools using OAuth -- no passwords stored, one-click setup, real-time sync. Currently live integrations:

Every integration syncs in real time -- new documents, updated tickets, and received emails become searchable within minutes. Search results respect the access controls defined in each source system. If a user cannot view a document in Google Drive, it does not appear in their RetrieveIT results.

Core Features

Workspaces

Workspaces are the organizational unit in RetrieveIT. Each workspace connects to one or more data sources and can be scoped to a team, project, client, or compliance area. Common configurations include department workspaces (Engineering, Legal, HR), client-specific workspaces for isolation, project workspaces for active initiatives, and compliance workspaces restricted to regulatory materials.

Workspaces are cryptographically isolated between organizations. One customer can never see another's data.

Workspace Groups

Groups allow admins to organize workspaces into named collections -- Microsoft Stack, Google Stack, Legal, by client name -- that appear as collapsible sections in the chat sidebar. This scales cleanly from teams with 5 workspaces to organizations with 100+.

Two Query Modes

Standard queries are optimized for fast, direct lookups. Finding a specific policy, locating a contract, identifying who owns a service, getting an API rate limit -- these return in seconds.

Advanced queries handle complex synthesis across multiple documents and sources. Summarize all communications with a client over six months. Draft a post-mortem from last week's incident data across Jira, Confluence, and GitHub. Compare the terms of three vendor contracts expiring this quarter. Advanced queries take longer but produce results that would have taken a human hours to compile manually.

AI-Generated Answers with Source Citations

Generation Capabilities

Beyond search, RetrieveIT generates structured content from your existing organizational knowledge:

• -Standard Operating Procedures compiled from scattered documentation
• -Post-mortem reports built from Jira tickets, GitHub PRs, and incident communications
• -Compliance summaries mapping policy coverage across regulatory requirements
• -Client account histories compiled from email threads, documents, and support tickets
• -Research briefs synthesizing findings from multiple internal sources
• -Meeting summaries and action item timelines from notes and follow-up communications

Every generated document cites actual sources. No hallucination about your organization -- every claim traces back to an indexed document.

MCP Server

RetrieveIT exposes a Model Context Protocol server that allows AI assistants -- Claude Code, Cursor, VS Code with GitHub Copilot, Claude Desktop -- to query your organization's knowledge base directly from the IDE. Developers stop copy-pasting internal documentation into AI assistant context windows. The AI assistant queries RetrieveIT in real time.

Audit Log

A full timestamped, actor-attributed, IP-logged audit trail covers every action: workspace created or deleted, users invited or removed, documents deleted, search access updates, and authentication events. 90-day searchable history with CSV export. Standard for enterprise compliance and necessary for regulated industries.

Pricing

Queries are pooled across the organization -- all seats share the same query budget.

Additional query packs are available for burst usage beyond plan limits, giving teams flexibility without upgrading tiers.

RetrieveIT vs. Glean

Glean is the enterprise search benchmark. It is also enterprise-only in the traditional sense: long procurement cycles, significant implementation timelines, and pricing that typically starts well into six figures for mid-market deployments.

RetrieveIT is self-serve. An organization can connect integrations, configure workspaces, and run their first queries in the same day. Pricing starts at $30/seat/month with no enterprise procurement process required for teams under a certain size.

For large enterprises with existing Glean contracts and dedicated implementation resources, the switching calculus is different. For organizations evaluating enterprise search for the first time, RetrieveIT's self-serve entry point removes the friction that makes Glean procurement a multi-quarter effort.

RetrieveIT vs. Notion AI / Confluence AI

Notion AI and Confluence AI are single-platform tools. Notion AI searches Notion. Confluence AI searches Confluence. Neither crosses the boundary into the other, let alone into GitHub, Gmail, Jira, SharePoint, DocuSign, and the rest of the enterprise stack simultaneously.

For teams whose knowledge genuinely lives in a single platform, the native AI is sufficient. For organizations where knowledge is distributed across multiple tools -- which describes most enterprise environments -- single-platform AI creates a new layer of the same fragmentation problem it claims to solve.

RetrieveIT's value proposition is specifically the federated layer: one query, all sources, simultaneous results.

A legal team searching for contract language needs results from DocuSign, Gmail, Google Drive, and SharePoint in one answer -- not four separate searches in four separate AI tools. The comparison also holds on depth of capability. Notion AI and Confluence AI are lightweight assistants built on top of their respective platforms. RetrieveIT is purpose-built for federated semantic search with workspace isolation, cross-workspace access controls, a full audit trail, and the MCP integration layer.

Security and Compliance

RetrieveIT is built on AWS infrastructure with AES-256 encryption at rest, TLS 1.3 in transit, and KMS-encrypted OAuth tokens. Multi-tenant isolation is enforced at the database level -- one organization's data is never accessible to another.

AI inference runs through Amazon Bedrock, which does not retain prompts or train on customer data. RetrieveIT does not sell customer data to third parties and does not use customer content to train models.

SOC 2 Type II certification is in progress. Google OAuth verification for Gmail and Google Drive scopes was submitted in March 2026 and is under review.

What RetrieveIT Does Not Do

• -Not a code generation tool. RetrieveIT is a knowledge search and synthesis platform. Organizations looking for AI that generates production code grounded in their architectural standards should evaluate context engineering platforms separately.
• -Slack and Notion not yet live. These integrations are listed as coming soon. Organizations for whom Slack is the primary knowledge repository should confirm availability before committing.
• -SaaS-only deployment. RetrieveIT does not deploy into the customer's own AWS account. Organizations with strict data residency requirements that prohibit third-party SaaS processing of internal documents should evaluate whether RetrieveIT's hosted model meets their compliance posture.

Verdict

RetrieveIT solves the problem that most enterprise teams live with every day: organizational knowledge is scattered across a dozen tools and finding it requires knowing where to look. The federated search approach -- 11 live connectors, real-time sync, permission-aware results, AI-generated answers with citations -- addresses this directly.

The MCP server integration is the standout differentiator for engineering teams. Making your organization's indexed knowledge queryable from inside the development environment, without leaving the IDE, is something no enterprise search competitor offers today.

This review is based on publicly available product information, documentation, and capabilities as of March 2026. AI for Enterprises maintains editorial independence and does not accept payment for reviews or rankings.