Patent Valuation Data - Lighthouse IP x IP-BI

IP-BI Valuation Data transforms raw patent information into clear business value. Using a machine-learning market-analogy model trained on real transaction prices, the service calculates an upper (Vo) and lower (Vu) Euro value for every alive patent family —or for single publications where required— and refreshes those numbers every quarter.

Each asset also receives five qualitative key figures that pinpoint strengths and weaknesses:

A – Assignee strength (company size, R&D intensity, inventor team)
EA – Market Attractiveness (technology trend momentum)
EC – Market Coverage (breadth and economic weight of protected markets)
T – Technical Quality (transferability, differentiation over prior art)
L – Legals (procedural status, claim breadth, maturity)Lighthouse_IPBI_Link-de…

Coverage & cadence
176 million+ patents, utility models and applications
170 patent authorities worldwide
Historical snapshots available back to 2012, updated four times a year

Methodology highlights
- 27 empirically weighted indicators feed a trained ML model to deliver fair-market values within a documented confidence band.
- Values depreciate automatically for ageing or pending assets, reflecting true market liquidity expectations.

Delivery options
- Simple REST endpoints: query by publication number or family ID to retrieve Vo/Vu, quality scores and alive member list in one callAPI_description.
- Bulk CSV/JSON extracts: linked to Lighthouse ID, BvD ID, DOCDB or INPADOC family IDs for seamless data-warehouse ingestion

Typical use cases
- Strategic portfolio pruning & monetisation: focus on high-value filings and divest low performers.
- M&A and licensing: quantify deal synergies in minutes and surface undervalued targets.
- IP-backed finance & accounting: support collateralisation, securitisation and IFRS-compliant fair-value reporting.
- AI & analytics: feed value-weighted embeddings into LLMs, semantic search or recommendation engines.

With IP-BI Valuation Data you upgrade from raw counts and citations to real price signals; turning complex patent landscapes into actionable financial intelligence.