Rightbrain AI

What Rightbrain AI does

Rightbrain AI builds managed AI agents that integrate with existing business tools like Slack, HubSpot, Notion, and Sheets. The platform allows users to build agents themselves, work with Rightbrain to design purpose-built agents, or have the Rightbrain team manage the entire process end-to-end. It focuses on getting AI workflows into production quickly, providing full visibility into agent operations, and enabling businesses to embed AI into service delivery and ship AI features to customers.

Products

• PlatformFull access to the platform for teams to build, deploy, and manage agents. Includes agent builder & triggers, MCP connector, API & SDK access, and analytics & audit logs.
• We build it with you (Agents-as-a-Service)Purpose-built agents for core workflows. Rightbrain designs, integrates, tests, and deploys agents with the client.
• We run it for you (Agents-as-a-Service)Rightbrain team handles everything end-to-end, from scoping to ongoing optimization, including solution design, dedicated onboarding, private deployment, and cost optimization.

Key capabilities

• Managed AI agents
• Integration with existing tools (Slack, HubSpot, Notion, Sheets, Salesforce, Clay, Instantly, Apollo.io, Attio, Pipedrive, Reply.io)
• Custom app integration
• Platform for building agents
• Purpose-built agent design services
• End-to-end agent management services
• Full visibility into agent runs, tokens, decisions
• Multi-model support (frontier or open-source)
• Task & workflow-based agents
• RAG grounding (Grounding agents in your own data)
• Native integrations
• MCP (Multi-Cloud Platform) connector
• Human-in-the-loop checks
• Audit logs
• Version control
• Evals (Evaluations)
• Fallbacks
• Telemetry & execution flows
• Alerts (Coming soon)
• No-code/low-code agent building
• Triggered or scheduled agents (event-driven triggers)
• Real-time monitoring
• API & SDK access
• Analytics

Use cases

• Embedding AI into service delivery
• Shipping AI features to customers
• Automating repetitive work
• Raising quality in service delivery
• Speeding up execution in service delivery
• Identifying high-impact automations
• Automating processes across teams
• Managing AI tasks in the background
• Responding to events automatically (e.g., deal closes, document lands, ticket escalates, new client kicks off, monthly reporting starts, Slack message arrives, form submitted)
• Searching the web, querying CRM, fetching documents, taking action during a single run
• Chaining multiple tasks into workflows

AI approach

Rightbrain AI provides a platform and managed services for building and operating AI agents that integrate with existing business tools and workflows. Users can build agents themselves, work with Rightbrain to design purpose-built agents, or have Rightbrain run the entire stack. The platform supports multi-model agents (frontier or open-source), RAG grounding, native integrations, and human-in-the-loop checks. It focuses on getting AI into production reliably with features like audit logs, version control, evals, and fallbacks.

Tech named: RAG, multi-model, frontier models, open-source models

Industries served

• Services businesses

What it says sets it apart

• AI operating layer for businesses
• Managed AI agents that run inside existing tools
• No new platforms to learn
• Production in days, not months
• Full visibility into every run, token, decision
• Flexible involvement: self-serve, co-build, or fully managed
• Designed to make existing tools smarter
• Connects any tool securely through native integrations or MCP
• Agents respond automatically to triggers
• Fast build and iteration (no code, no config)
• Deploy a team of specialized agents
• Focus on getting AI into production reliably
• Continuously improve performance without jumping into code

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.