Product Introduction
- Incredible Small 1.0 by Incredible is an Agentic AI system designed to execute complex workflows across 100+ app connectors while processing large datasets with precision. It operates as a research preview, enabling users to automate multi-step tasks through parallelized actions in applications like spreadsheets, project management tools, and social media platforms. The architecture is optimized for high-volume data operations without hallucinations, ensuring reliable outputs.
- The core value lies in its ability to replace manual, repetitive workflows with AI-driven automation at scale, reducing time spent on cross-platform tasks by 90%. It enables users to delegate hundreds of app-specific actions simultaneously while maintaining data integrity through proprietary validation protocols.
Main Features
- The system executes 1,000+ atomic actions per workflow cycle using a distributed task engine that parallelizes API calls, data transformations, and app-specific operations. This includes batch-processing spreadsheet data, auto-posting social content, and syncing files across cloud storage platforms.
- Native integration with 100+ enterprise and consumer apps, including Slack, Google Sheets, Airtable, Trello, and Dropbox, via pre-configured connectors with OAuth2 authentication. Connectors support bidirectional data flows, enabling real-time synchronization and trigger-based automation.
- Hallucination-free data handling is achieved through a three-layer verification system: schema validation for input/output formatting, statistical outlier detection, and cross-referencing against indexed knowledge bases. This ensures 99.8% accuracy in dataset operations.
Problems Solved
- Eliminates inefficiencies in manual cross-application workflows, particularly for users managing large datasets across disconnected platforms like CRM systems, marketing tools, and analytics dashboards.
- Targets data analysts, operations managers, and technical teams requiring bulk automation of tasks such as lead list processing, inventory updates, or campaign reporting without coding.
- Typical scenarios include merging quarterly sales data from 50+ regional spreadsheets into a unified dashboard, auto-generating social media posts from product catalogs, and synchronizing project milestones across Jira, Asana, and Microsoft Planner.
Unique Advantages
- Unlike single-purpose RPA tools, Incredible Small 1.0 combines dataset manipulation with app automation using a unified architecture that scales to 10,000+ actions per hour. Competitors average 200-300 actions with higher error rates.
- Proprietary "Auto-Approve" system allows conditional execution of sensitive workflows by pre-defining confidence thresholds (e.g., only process invoices with 95%+ match to template patterns).
- Competitive edge stems from its Swedish-engineered privacy framework, which locally encrypts all API keys and user data, complying with GDPR and CCPA standards out-of-the-box—a critical advantage for EU/US enterprise clients.
Frequently Asked Questions (FAQ)
- How does the AI handle 1,000+ simultaneous actions without errors? The system uses a microservices architecture with isolated action pods, each monitoring CPU/memory allocation in real time. Failed actions trigger automatic retries with exponential backoff and fallback protocols.
- Which apps are currently supported? All 100+ connectors are listed in the integration hub, including Salesforce, HubSpot, Shopify, QuickBooks, and Notion. Custom connectors can be built using OpenAPI specifications.
- What prevents hallucinations during data processing? Three verification layers are applied: input sanitization against predefined schemas, statistical consistency checks using Benford’s Law analysis, and cross-validation with domain-specific language models.
- Is the research preview feature-limited? The preview includes full access to core automation features but limits team collaboration tools and enterprise SSO. Commercial licenses unlock custom SLAs and priority API rate limits.
- How is user data secured? All credentials are AES-256 encrypted at rest, with zero-token retention policies. Audit logs for data access are stored separately in SOC 2-compliant infrastructure.
