| What it does | AI-driven patent intelligence for prior-art research, novelty analysis, claim strategy, and patent drafting
| Agentic patent workflow platform for prior art search, claim strategy, and filing-ready patent drafting
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Paid
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| Pricing | Free: 100 pages/month, 1 custom workflow, 50+ pre-built templates, 1 user. Basic: $299/month for 1,000 pages/month, 5 custom model training runs, 5 custom workflows, 1 user. Growth: $599/month for 5,000 pages/month, 5 custom model training runs, 5 custom workflows, 10 users. Yearly pricing: Basic $2
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| Key features | - AI-driven prior-art search across global patent databases and scientific literature
- Patentability and novelty analysis with feature-by-feature evidence mapping
- Claim strategy development exploring distinguishing features and claim scope
- Invention disclosure intake and technical context framing
- Iterative search across terminology variants and technical concepts
- Source verification and confidence flagging of findings
- SOC 2 Type II certified with encryption and granular access controls
- Custom agent creation for specialized technical fields and drafting styles
- On-premise and private cloud deployment options
| - Prior art search across 220 million patents from 108 jurisdictions and 100+ million research papers
- Patent drafting with claims, description, abstract, and figures for US, EP, and Indian practice
- Freedom-to-operate analysis with clearance reports and risk registers
- White space analysis with filing trends and landscape analytics
- Invalidity search mapping claim elements to prior art
- Scope slider for exploring claim breadth
- Provenance tracking on every claim element
- Technical gap detection with proposed fixes at intake
- Figure generation from specification without baseline drawing
- Five approval gates with full audit trail
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| What makes it different | - Professional judgment retained: investigation and evidence mapping precede drafting, not replacing practitioner expertise
- Evidence-grounded research: iterates across multiple source types rather than relying on single query formulation
- Built for confidential IP work with no model training on invention data
- Specialist AI agents coordinated by a supervisor across search, disclosure analysis, evidence mapping, claim strategy and drafting
- Searches patent and non-patent sources together including scientific literature, standards and public technical sources
| - Attorney-directed workflow with five decision gates where attorneys approve every substantive output, not just suggestions
- Multi-agent, multi-LLM system with specialist agents on different models handling search, claims, description, and figures, with independent quality gate review
- Seven integrated workflows in one platform with shared corpus of 220 million patents instead of separate tools delivered weeks apart
- Outcome-based pricing per matter delivered rather than per-seat licensing
- ISO/IEC 27001:2022 certified security with customer data never used for model training
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 17 ● no change since last check | 4 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 9 |
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| Citation Flow (Majestic) | 18 | 26 |
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| Referring domains (Majestic) | 161 | 18 |
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