Aisera AI Agent Studio vs Dust

Aisera AI Agent Studio is a paid platform for designing and coordinating enterprise AI agents that act across systems. Agent Composer provides a no-code/low-code canvas, and administrators can describe tasks in natural language to create agents without writing code. Test Mode, KPI and adoption monitoring, audit logs, and guardrails support validation and governance. Workflow Studio includes more than 1,000 pre-built actions; Event Studio starts agents from configured events, and Prompt Studio supports prompt creation, testing, and refinement. Users can set agent personas, voices, and styles and access generated code for deeper customization. Aisera Unify connects third-party agents through A2A or AGNTCY and external tools through MCP. Integrations include ServiceNow, Salesforce, Workday, Slack, Microsoft Teams, and Google Chat. Deployment spans AWS, Azure, GCP, VPCs, hybrid clouds, and on-premises environments. Pricing requires a demo or customized quote.

Dust connects company knowledge, tools, and teams so organizations can build, share, and run AI agents across workflows. People and agents coordinate through shared knowledge, tools, conversations, notifications, and human review. Dust lists 70+ connectors, including Slack, Notion, Google Drive, GitHub, Salesforce, and Zendesk, and supports building agents with more than 20 frontier and open-source models from providers such as OpenAI, Anthropic, Google, and Mistral. Agents can run multi-agent workflows on schedules and triggers, with reusable skills, tools, and memory. Its Chrome extension provides access to company knowledge and AI assistance from the current tab. Dust says it is SOC 2 Type II certified and GDPR compliant, and enables HIPAA compliance. Its Free plan includes 500 credits for lifetime use. Pro costs €24 a month billed yearly, and Max costs €120 a month billed yearly. Enterprise is listed without a price and includes unlimited connectors and MCP servers, workspace-pooled credits, SCIM, audit logs, single-tenant deployment, and priority support with an SLA.