Dust Alternatives (August 2026)
TL;DR: Dust lets teams build custom AI agents over company data, with strong connectors and a developer-friendly design. Teams evaluate alternatives when they need finer model routing and cost control, no-code building for non-technical users, deeper deployment options, or when per-seat pricing stops making sense as usage grows.
About Dust and why teams compare it
Dust is one of the better products in its category and the shortlist is worse without it. Connectors to Notion, Slack, Google Drive, GitHub, and Confluence go up in an afternoon. Workspaces can pick models from several providers rather than being tied to one vendor. It is a French company with EU hosting, which settles a procurement question that stalls other deals for weeks. Developer-led teams get productive quickly, and that is the honest headline. The searches for alternatives come from a narrower set of problems. Seat pricing decouples from value once a few builders serve the whole company. There is no golden-set or regression harness, so agent changes ship on judgment. Model selection is per assistant, not per step, which limits how far you can push cost down. And the product is hosted only, which ends the conversation for anyone with air-gap requirements.
Dust sits in the Enterprise AI agents category. Its tagline: "Build AI agents grounded in your company data."; captures the positioning. Pricing today is Per-seat monthly on Pro, custom enterprise contracts above that. It is best for Developer-led teams standing up an internal assistant over company data. The keyword research that produced this page surfaced 110 monthly searches on the primary alternatives query dust alternatives, at a keyword difficulty of 12 and a paid CPC of $15.20, and a strong signal of buyer commercial intent.
Swfte vs Dust at a glance
| Capability | Swfte | Dust |
|---|---|---|
| Category | No-code agent runtime (Studio) on a multi-provider gateway (Connect) | Enterprise AI agents over company data |
| Connector setup | Connects to the same core systems plus retrieval over your own stores; more configuration up front | Notion, Slack, Google Drive, GitHub, Confluence and more, and fast to wire up |
| Model access | 50+ providers behind one API, selectable per step | Several providers available; the workspace picks a model per assistant |
| Routing and failover | Policy-driven routing with automatic failover when a provider degrades | No routing policy layer; the chosen model is the model |
| Who can build | Visual drag-and-drop builder aimed at non-technical staff | Agent workspace that rewards developer-led teams |
| Testing and evals | Golden sets, regression runs, A/B experiments, guardrail checks | No built-in golden-set or regression harness |
| Observability | Traces, prompts, inputs and outputs, token and cost telemetry per step | Workspace-level usage reporting |
| Cost attribution | Spend per team, per project, per user, with monthly ceilings | Seat count is the cost signal; consumption is not attributed |
| Deployment | Cloud, VPC, on-prem, or air-gapped, with identical APIs | Hosted only |
| EU data residency | EU region available; SOC 2 Type II and GDPR-aligned | French company with EU hosting, which settles the question early for EU buyers |
What Dust does well
- Fast connector setup across Notion, Slack, Google Drive, GitHub and Confluence
- Agent workspace that developer-led teams get productive in quickly
- Workspaces can pick models from several providers, not one vendor
- French company with EU hosting, which matters for European data residency
Where teams hit limits
- Per-seat pricing decouples from value when a few builders serve the whole company
- No built-in golden-set or regression harness for testing agent changes
- Hosted only: no on-prem or air-gapped deployment
- Model selection per assistant rather than routing policy per step
When Swfte is the better choice
When agents need per-step model routing and per-team spend ceilings, when non-technical staff have to build them, when changes need regression testing before they ship, or when the deployment has to run inside your own perimeter.
Swfte splits the job Dust does in one product across two. Studio is the builder: visual agent construction, golden-set testing, versioned rollouts, and traces on every step. Connect is the gateway underneath, with 50+ providers behind one API, routing policy per step, automatic failover, and token cost reported per team. The practical effect is a division of labor. A support lead assembles the agent in Studio. A platform engineer decides which models it may reach and what it is allowed to spend.
Two differences show up later, usually at renewal. Testing comes first: Dust has no regression harness, so a prompt edit ships on judgment and gets corrected by complaints, while Studio scores the candidate against a fixed dataset before it goes live. Deployment is the other. Dust is hosted, which suits most buyers and rules out banks, defense suppliers, and health systems with air-gap requirements. Swfte runs the same builder and gateway inside your perimeter.
Technical detail: what changes when you migrate
Migrating is mostly re-pointing sources and re-declaring policy, not rewriting logic. In Studio you rebuild the assistant as a visual flow, connect the same knowledge sources, and add the pieces Dust does not have: a golden dataset, a scoring step, semantic versions, and gradual rollout with one-click rollback. Underneath, Connect handles model access. You declare a default model per step, a promotion rule for the cases that need a stronger one, a fallback provider, and a monthly ceiling per team. Traces carry prompts, inputs, outputs, token counts, and cost, so the spend conversation stops being a single invoice line. Deployment is the one structural difference: the same product runs in Swfte cloud, in your VPC, on your own hardware, or fully disconnected, with the same APIs in every case.
Four workloads where teams switch from Dust
Let the person who owns the process build the agent
The support lead knows which macros are wrong. The RevOps analyst knows which fields matter. On Dust, both usually file a request with someone technical. Studio is a visual builder, so they assemble the agent themselves, and the platform team keeps control of models, budgets, and data access underneath.
Put a routing policy under an agent that got expensive
An assistant pinned to one flagship model is fine at pilot volume and painful at company volume. Connect routes per step: a small model for classification and extraction, a workhorse for drafting, the expensive one only where quality actually moves. Cost telemetry lands per team and per project rather than as one line item.
Test a prompt change before it reaches everyone
Dust has no golden-set or regression harness, so agent changes ship on judgment and get corrected by complaints. Studio runs the current and candidate versions against a fixed dataset, scores them, and shows the diff. Version, roll out gradually, roll back in one click if the numbers move the wrong way.
Run agents where the data is not allowed to leave
Some workloads cannot use a hosted workspace at any price. Swfte runs in your VPC, on your own hardware, or in a disconnected environment, with the same builder and the same gateway APIs. Nothing about the agent has to be rebuilt to move it inside the perimeter.
Migration timeline; from Dust to Swfte
| Phase | Effort | What happens |
|---|---|---|
| Week 1: Rebuild the busiest agent | About a day | Pick the Dust assistant with the most traffic and rebuild it in Studio against the same sources: Notion, Slack, Drive, GitHub, Confluence. Run both on the same 50 real questions from last month and compare answers, latency, and cost per call. Keep the Dust workspace live throughout; nothing is switched off in week one. |
| Week 1-2: Routing policy and budgets | 1 day | Declare which model handles which step, what the fallback provider is, and what the monthly ceiling is per team. Attach a golden dataset and a scoring step so the agent has a regression baseline before anyone else touches it. This is the part Dust leaves to your judgment. |
| Week 2-4: Move the rest, add builders | Roughly half a day per agent | Migrate remaining assistants in traffic order. Most teams find the tail is smaller than expected because several Dust assistants collapse into one Studio agent with better routing. Give two non-technical people access to the builder and see what they ship without help. |
| At renewal: right-size the seats | Procurement | Decide what the Dust workspace is still for. Some teams keep it for a developer group that likes the model and drop the company-wide seats. Others close it out. Either way the seat count should now reflect builders rather than readers. |
How Dust compares to other alternatives
A realistic Dust shortlist has six names on it. Glean is the pick when the real problem is search across every app rather than agent building. Microsoft Copilot Studio wins on paper for organizations already deep in Microsoft 365, though model choice narrows accordingly. CrewAI and LangGraph are code-first frameworks: maximum control, engineers required, nothing packaged. Lindy targets non-technical builders like Studio does, with less depth on governance and routing. Swfte is the option that keeps Dust's build-your-own-agents model while adding per-step routing, cost attribution, evals, and deployment inside your own perimeter.
For a full cross-comparison see the alternatives index and the head-to-head comparisons grouped by category.
Frequently asked questions about Dust alternatives
What is the best alternative to Dust?
It depends on the job. For enterprise search across every app your company runs, Glean. For code-first agent frameworks that your engineers own end to end, LangGraph or CrewAI. For teams that liked Dust's build-your-own-agents model but want no-code building for non-technical staff, multi-model routing with cost telemetry, and built-in evals, Swfte Studio on Swfte Connect is the closer match.
How does Dust pricing work, and when does it stop making sense?
Dust sells a per-seat monthly Pro tier with custom enterprise contracts above it. Seat pricing is predictable and easy to approve while the team is small. It decouples from value in a common pattern: a handful of builders create agents that the whole company consumes, so you end up buying seats for people who read outputs rather than build anything. Usage-based platforms invert that trade, charging for what the agents actually run.
Does Dust support multiple AI models?
Yes. Dust workspaces can pick models from several providers, so you are not locked to one vendor. The difference with a gateway-based platform is routing depth. Swfte Connect selects a model per step rather than per assistant, fails over automatically when a provider degrades, and reports token cost across every call, per team and per project. A model picker is a setting. A routing policy is a control.
Can non-technical users build agents on these platforms?
On Dust, building leans developer-friendly: the workspace rewards people comfortable with structured tools and data sources. Lindy and Swfte Studio target non-technical builders directly, with visual, drag-and-drop creation and no code required to ship. Frameworks such as CrewAI and LangGraph sit at the other end and need engineers for everything, including the parts that look like configuration.
Which alternatives support on-prem or air-gapped deployment?
Most hosted agent platforms, Dust included, run in the vendor cloud or in your VPC. That is fine for the majority of buyers and disqualifying for a minority: defense, parts of banking, classified and clinical environments. If you need fully on-prem or air-gapped operation, shortlist only platforms that state it explicitly rather than implying it through a security page. Swfte supports on-prem deployment and air-gapped environments with the same APIs as the hosted product.
Related
- Swfte Connect: universal API gateway and integrations
- Swfte Studio: no-code AI agent builder
- Enterprise AI search explained
- Enterprise AI agents
- Glean alternatives
- All AI tool alternatives
- Head-to-head AI model + tool comparisons
- API pricing for every major LLM
- AI model leaderboard
- Best LLM 2026
- Best AI agents 2026
- Vendor lock-in leaderboard
Agents over your data, on models you choose
Rebuild one Dust assistant in Studio against the same sources, run it through Connect, and compare answers, per-call cost, and how long a non-technical teammate needs to ship the second one.
Free tier · 50+ providers · Golden-set evals · On-prem and air-gapped deployment available