Inven review
A sourcing-focused research platform with buyer-list, deal-history, and presentation tools.
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Inven brings private-company, investor, transaction, financial, and contact data into a research platform for investment banks and other M&A teams. It is aimed at advisors who need to map markets, source deals, identify potential buyers, and support commercial due diligence. Natural-language search, market mapping, batch screening, and AI enrichment help organize company research, while team lists, annotations, and shared views support collaborative work. Its fit is strongest where sourcing and research are central to the workflow.
The product connects research to deal execution materials: teams can search M&A transactions and deal histories, build buyer lists around sector focus and past transactions, and monitor intent-to-sell and company-change signals. Inven also generates company profiles and PowerPoint presentations, and supports Excel exports and an Excel add-in. CRM connections include HubSpot, Salesforce, Navatar, Attio, Affinity, and DealCloud; integrations also include Claude, ChatGPT, Microsoft PowerPoint, and Microsoft Excel. API access is available, alongside web and Chrome extension access. These options make it relevant for teams that need research to move into existing presentation, spreadsheet, CRM, or AI-tool workflows.
According to the vendor’s materials, pricing is custom and based on team size, so buyers should expect to discuss requirements with sales rather than select a published tier. The platform is cloud-deployed, with GDPR listed as a compliance posture and email and documentation as support channels. Its published scope centers on company research, deal sourcing, and related presentation output; it is not positioned as a dedicated valuation-modeling suite or transaction data room. Choose Inven when market coverage, buyer identification, and shared sourcing research matter most. Teams seeking valuation modeling or data-room functionality should consider a product built specifically for those needs.
Inven pros and cons
- Where it wins
- Searches companies and investors using ownership and financial data
- Builds buyer lists from transaction history and sector focus
- Exports research to PowerPoint, Excel, and connected CRMs
- Where it doesn't
- Quote-based pricing requires contacting sales
- Focuses on sourcing and research, not valuation modeling
- Does not describe a dedicated transaction data room
Inven fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update