Dust is a well-built platform, and its $40M Series B from Sequoia, Abstract, Snowflake Ventures, and Datadog in May 2026 validates real demand for team-level AI coordination. If your primary problem is getting human teams and AI agents working from the same context inside shared workspaces, Dust does that well.
But most enterprise teams evaluating Dust as a potential solution are trying to solve a wider set of problems — and finding that Dust’s agent-first architecture leaves meaningful gaps in how everyday employees actually work. They need unified search across every application, AI that lives inside Slack or Microsoft Teams rather than a separate platform, and workflow automation that spans 100+ tools without requiring agent configuration for every use case.
Quick Answer: GoSearch is the strongest Dust alternative for enterprises that need more than multiplayer AI. It combines real-time federated search across 100+ connected apps, AI chat, no-code custom agents, and multi-app workflow automation — all natively embedded in Slack and Microsoft Teams — with SOC 2 Type II, HIPAA, GDPR, and CCPA compliance and a bring-your-own-cloud deployment option.
GoSearch vs Dust: Platform Comparison
| Capability | GoSearch | Dust |
|---|---|---|
| Primary use case | Enterprise-wide AI search, custom agents, and multi-app workflows | Team-level human-agent coordination |
| Unified enterprise search | Yes — across 100+ apps | Limited — Context layer for connected tools |
| AI chat | Yes — grounded in live enterprise data | Yes — within shared workspaces |
| No-code custom agents | Yes — natural language, no engineering | Requires agent configuration |
| Multi-app workflow orchestration | Yes — action across 100+ connected tools | Yes — within workspace workflows |
| App connectors | 100+ (native, MCP, custom) | Limited |
| Real-time federated retrieval | Yes — data stays in source systems | No — centralized context layer |
| Bring your own cloud (BYOC) | Yes — AWS, Azure, Google Cloud | Not publicly available |
| Embedded agents | Yes — in Slack and Teams | Slack only |
| Deployment | Minutes to hours; full rollout in days | Varies by workflow complexity |
Why Teams Look for a Dust Alternative
Dust is built around a specific thesis: enterprise AI should operate at the team level, not the individual level. Instead of each employee running their own isolated assistant, Dust creates shared workspaces where humans and agents collaborate from the same context, advancing work in parallel.
That is a real problem worth solving. But teams evaluating Dust typically run into one or more of these limitations:
Search is not Dust’s primary architecture. Dust’s retrieval layer is vector-based and optimized for agent context, not standalone enterprise search. If your employees need to find information across Salesforce, Jira, Confluence, Slack, Google Drive, and 20 other tools in a single query — with permission-aware, real-time results — Dust is not built for that use case at the depth most enterprises require.
AI lives in a separate workspace, not where employees already work. Dust’s multiplayer workspaces are purpose-built environments. Employees need to go there. For organizations where Slack and Microsoft Teams are the operational center of gravity, asking employees to adopt a new platform creates significant adoption drag. Usage concentrates among a small group of power users rather than scaling across the whole organization.
Agent configuration requires skill and time. Dust’s no-code agent builder is genuinely capable, but building agents that work reliably across complex enterprise data requires meaningful configuration effort. For teams without dedicated AI operators, the setup time and ongoing maintenance can become a barrier to broad deployment.
Connector breadth matters at scale. Dust integrates deeply with a curated set of tools. Enterprises running 50 to 100+ business applications need a platform that connects to all of them — through native integrations, MCP connectors, and custom APIs — without requiring custom development for every new tool.
Why GoSearch Is the Right Dust Alternative for Most Enterprise Teams
GoSearch was built for the operational reality most enterprise employees face: information scattered across dozens of tools, AI that is hard to reach from inside existing workflows, and agents that require engineering support to deploy and maintain. It addresses each of these directly.
Real-time federated search across 100+ apps. GoSearch connects to 100+ enterprise tools and retrieves real-time data directly from source systems — without creating a central index of sensitive information. Employees get permission-aware answers across Salesforce, Jira, Confluence, Slack, Google Drive, Microsoft 365, and every other tool in their stack, in a single query. Source-system permissions carry over automatically, so employees only see what they are authorized to access.
AI chat grounded in live enterprise data. GoSearch’s AI chat does not operate on a snapshot of your data. It surfaces answers from live, connected sources — so the sales rep who asks about a deal in Salesforce gets the current state of that deal, not a cached version from last week’s indexing run.
No-code custom agents for any team. Any team member can build and deploy a specialized agent in GoSearch using natural language — no engineering required. A RevOps manager can build an agent that monitors Salesforce pipeline risk. A support lead can build one that resolves tier-one queries from Zendesk. An HR team can build one that answers policy questions from actual internal documentation. These agents are owned and iterated on by the people closest to the work, not a central AI team.
Multi-app workflow orchestration across the full stack. GoSearch agents act, not just retrieve. An agent can pull data from one system, process it, and push an update to another — all within a single automated workflow, across 100+ connected tools. That is the difference between AI that tells you something and AI that does something about it.
Embedded in Slack and Microsoft Teams. GoSearch integrates natively into both Slack and Microsoft Teams. Employees search, ask questions, and trigger workflows without leaving the conversation they are already in. Dust has a native Slack integration, but Teams support gives GoSearch broader reach across enterprise environments where Microsoft is the primary collaboration stack. For organizations where Teams is central to daily work, this is a material difference.
Compliance coverage built for regulated industries. GoSearch holds SOC 2 Type II certification and is fully compliant with HIPAA, GDPR, and CCPA. It maintains zero data retention agreements with LLM providers. For enterprises in healthcare, financial services, or any environment operating under multiple regulatory frameworks simultaneously, this coverage removes compliance blockers that narrower platforms cannot.
Bring your own cloud for full data residency control. GoSearch supports BYOC deployment on AWS, Azure, and Google Cloud. Organizations that cannot operate on a vendor-managed SaaS infrastructure — due to data residency requirements, internal security policy, or regulatory obligation — can deploy GoSearch entirely within their own cloud environment.
Deployed in days, not quarters. GoSearch connects to most organizations’ tool stacks in minutes to hours, with full organization-wide rollout achievable in days. For enterprises that have watched AI implementations stall in months of configuration and change management, fast deployment changes the adoption calculus entirely.
Who Should Still Consider Dust
GoSearch is the right Dust alternative for most enterprise teams. But Dust is the better choice in specific situations.
If your primary challenge is coordinating multi-step work across human teams and agents — with parallel workstreams and structured human approval workflows — Dust’s multiplayer AI architecture is built for that. Organizations that already have strong knowledge access and are specifically trying to solve team-level coordination will find Dust’s workspace model compelling.
Dust also reports strong adoption numbers among technically sophisticated teams: companies like Vanta and Persona see 70 to 90 percent team usage, which suggests the platform works well when there is organizational investment in AI operation and adoption. If you have a dedicated AI Operator role or team, Dust’s agent configuration capabilities become a strength rather than a barrier.
The Bottom Line
Dust’s $40M Series B is a real signal about where enterprise AI is heading. The coordination layer matters. But coordination sits on top of a knowledge and action foundation that most enterprises have not fully built yet.
GoSearch is built for that foundation: unified search across the full stack, AI chat grounded in live data, no-code agents any team can own, and multi-app workflow automation — all embedded in the tools employees already use, deployed in days, and governed to meet the compliance requirements of large, regulated organizations.
For enterprises that need AI to work for every employee — not just the teams with dedicated AI operators — GoSearch is the right Dust alternative. Get a personalized demo to learn more and see GoSearch in action across your stack.
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Frequently Asked Questions
GoSearch is the strongest Dust alternative for enterprises that need unified search, AI chat, no-code agents, and multi-app workflow automation in a single platform. Unlike Dust, which focuses on team-level human-agent coordination inside shared workspaces, GoSearch embeds AI directly into Slack and Microsoft Teams and connects to 100+ enterprise tools through real-time federated retrieval.
Teams typically look for a Dust alternative when they need deeper enterprise search across a broad tool stack, AI embedded in Slack or Microsoft Teams rather than a separate workspace, simpler no-code agent deployment without requiring dedicated AI operators, or compliance coverage that includes HIPAA and CCPA in addition to SOC 2 and GDPR.
Dust is an agent-first coordination platform built around shared team workspaces. GoSearch is a complete enterprise AI platform — real-time federated search across 100+ apps, AI chat grounded in live data, no-code custom agents, and multi-app workflow automation — natively embedded in Slack and Microsoft Teams. GoSearch also adds BYOC deployment and broader regulatory compliance coverage.
Yes. GoSearch lets any team build and deploy custom AI agents using natural language — no engineering required. Agents retrieve live data from connected systems and take action across multiple applications within a single workflow. Any team member can build, own, and iterate on their own agents.
Yes. GoSearch holds SOC 2 Type II certification and is fully compliant with HIPAA, GDPR, and CCPA. It maintains zero data retention agreements with LLM providers and supports bring-your-own-cloud deployment on AWS, Azure, and Google Cloud for full data residency control.
Yes. GoSearch integrates directly into Slack and Microsoft Teams. Employees search, ask questions, and trigger workflows without leaving the apps they already use. This embedded experience drives adoption far more reliably than asking employees to open a separate AI platform.
Most organizations using GoSearch connect their full tool stack within minutes to hours, with organization-wide rollout achievable in days. Dust’s deployment timeline varies depending on workflow complexity and the number of agents an organization needs to configure. Fast deployment reduces implementation risk and accelerates time-to-value.
Dust is the better fit when team-level human-agent coordination is the primary use case — specifically, shared workspaces where humans and agents advance parallel workstreams together with structured handoffs. Organizations with dedicated AI Operator roles and technically sophisticated teams may get more from Dust’s agent configuration capabilities.
