Incredible – Autonomous agents for complex business workflows

Incredible is a platform designed to offload messy, multi-app business workflows to autonomous AI agents. It moves beyond simple question-answering to create agents that execute complex, multi-step processes across hundreds of business applications, handle large datasets, and perform numerous actions in parallel.

The platform is built for teams that need reliable automation for operational tasks, such as CRM maintenance, reporting, and complex email sequences. It is part of the broader ecosystem of AI automation tools that aim to increase productivity and reduce manual workload.

What is Incredible?

Incredible focuses on deep work automation using agentic AI models and a dedicated runtime called Agent MAX. Its core proposition is creating autonomous agents that run complex workflows across tools like Google Workspace, Notion, Salesforce, HubSpot, and Slack.

A foundation model, Incredible Small 1.0, underpins these agents. It is specifically tuned for executing real business tasks with low hallucination rates and strong cost efficiency, making it a practical solution in the AI agents category.

Key Features

Agent MAX Deep Work Engine: Multi-step autonomous agents with near-zero hallucinations, 100x memory via context compression, anti-loop protection, and self-healing when tasks fail.

Parallel Live-Code Actions: A live-code architecture that can fire hundreds or thousands of tool calls simultaneously, efficiently processing multi-gigabyte datasets and large task queues.

Incredible Assistant Interface: A chat-like interface to configure agents that run recurring workflows across a wide array of business tools.

Developer-Friendly API and MCP Support: A drop-in JSON API compatible with common LLM providers, plus Model Context Protocol support for integrating into existing agent stacks.

Use Cases

Sales and RevOps Teams: Using agents for CRM cleanup, contact enrichment, pipeline updates, and automated follow-up sequences.

Marketing Teams and Agencies: Automating content repurposing, cross-channel campaign reporting, and social media post scheduling.

Operations and Data Teams: Running recurring data syncs, spreadsheet transformations, reconciliations, and automated report generation.

Founders and Small Teams: Offloading administrative tasks, market research, and reporting to maximize limited human resources.

Underlying AI Models or Technology

Incredible is powered by its own agentic large language models (LLMs), most notably the Incredible Small 1.0 foundation model. This model is specifically fine-tuned for reliable task execution, emphasizing low hallucination and cost efficiency. The platform's core innovation lies in pairing these specialized language models with the Agent MAX runtime, a live-code execution engine designed for parallel action-taking and state management across applications.

The technology stack is built for practical reliability, incorporating features like deep memory via context compression, validated function calls, anti-loop safeguards, and self-healing behavior. This makes it particularly suited for complex language generation tasks that require multi-step planning and precise tool use, rather than just conversational interaction.

Pricing

Incredible operates on a paid subscription model. The publicly available plans include a Pro tier at $25 per month, which includes 100 credits, all agent features, priority support, and advanced analytics. A Teams plan is listed at $49 per user per month (coming soon), adding team collaboration, shared workspaces, and role management.

Enterprise pricing is custom and includes unlimited credits, all team features, custom integrations, dedicated support, SLA guarantees, and custom contracts. It is important to note that detailed pricing for the assistant subscription is not fully broken down publicly, and the full agentic model API is currently invite-only.

Pros and Cons

Pros

Reliability Focused: Designed with near-zero hallucination, validation against real data, anti-loop detection, and automatic recovery to reduce broken automations.

High Scalability: Parallel actions and support for large datasets make it suitable for operations and data teams with heavy, complex workloads.

Cost Conscious: Its token pricing and agent efficiency are often significantly cheaper than using mainstream large models for similar operational tasks.

Cons

Maturing Ecosystem: As a newer product, established patterns, best practices, and community resources are still developing.

Restricted API Access: The full agentic model API is currently invite-only, which may limit immediate access for some developers.

Opaque SaaS Pricing: Detailed breakdowns for assistant subscription pricing are not fully public, often requiring a conversation with sales for clarity.

Alternatives

Teams looking for automation solutions may also consider other platforms. For broader workflow automation tools, options include:

Zapier or Make (formerly Integromat): Established platforms for connecting apps and creating multi-step automations, though typically less agentic and more rule-based.

Adept or LangChain: Frameworks and tools for developers to build custom AI agents and workflows, offering more flexibility but requiring greater technical expertise.

Other AI Assistant Platforms: Various SaaS products that offer AI-driven automation for specific functions like customer support or sales, but may not handle the same breadth of cross-app, parallel workflows.