| What it does | AI Agents for Document OCR + Workflows
| Agent harness infrastructure that gives AI agents memory for each user, connected accounts, action limits and an audit record.
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| CA
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan with 10,000 monthly credits; Starter at $50/month with 40,000 credits; Pro at $500/month with 400,000 credits; Enterprise with custom pricing. Additional pay-as-you-go credits available. Pricing based on a credit system where 1,000 credits equals $1.25.
| Free: first 500 monthly-active end users per month, free forever. Paid: $0.30 per monthly-active end user above 500, billed monthly.
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| Key features | - Agentic OCR parsing with semantic understanding for complex document layouts
- Support for 130+ file formats including PDFs, Office docs, images, and spreadsheets
- Structured data extraction with schema-based, LLM-powered agents
- Document classification and splitting based on natural language rules
- Enterprise-grade RAG indexing and retrieval pipeline
- Handwritten text parsing and structured extraction
- Table and chart extraction with structured row and column relationships
- Cloud SaaS or VPC deployment with flexible data residency options
| - Timestamped memory ingestion with backdating capability
- Per-user data isolation and privacy scoping
- Ranked memory recall with dated evidence
- Connected accounts integration per user
- Long-running agent jobs with folder-level operations
- Configurable token ceiling per API call
- Enforced action limits on agent operations
- Complete action audit trail with hash chaining
- MCP server integration for Claude and other clients
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| What makes it different | - 4x cheaper than frontier labs, 5x more accurate than other APIs
- Auto-correction loops with recursive checks that detect and fix errors automatically
- Task-specific specialist agents that route content to the right expert
- HIPAA, GDPR, and SOC2 compliant with enterprise-grade security
| - Highest published BEAM benchmark score at 128K tokens: 85.1, compared to competing memory systems
- 98% fewer tokens required than raw tool output, making responses 4× cheaper
- Works with 20+ agent frameworks including LangChain, LangGraph and LlamaIndex
- First 500 monthly-active end users free forever
- Per-person billing model scales with user growth, not API calls
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 82 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 33 | 0 |
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| Citation Flow (Majestic) | 56 | 0 |
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| Referring domains (Majestic) | 10381 | 1 |
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