Pappers answers "who is this company?" TailorLead answers a different question: which companies to approach, when, and how to reach the right decision-maker. The data on one side, the origination workflow on the other, from the first signal to the meeting.
A database documents. An origination platform acts.
Off-market targets, ranked by signals, across 27,3M+ entities in the French registry.
The reachable decision-maker: verified business email and direct line, billed per contact.
A native origination CRM where every mandate lives: deals, counterparties, signals, no re-export.
The database vs the origination platform
Our read, feature by feature. Pappers is a strong source for French company data; the comparison is about the origination workflow, not the quality of the registry.
And the new Pappers MCP?
Pappers' MCP server, launched very recently, plugs Pappers data into the AI you bring (Claude, ChatGPT, Mistral, Perplexity). It is a powerful connector: query the French registry in natural language, in real time. But a connector is not a product. You still bring the model, the orchestration and the workspace.
With an MCP plugged into a third-party LLM, your queries (investment theses, target lists, mandates) pass through the model provider you choose. On TailorLead, inference runs on open-weight models self-hosted in France, on a private, non-exposed network: no data is sent to OpenAI or Anthropic. On a confidential mandate, where the AI reasons matters as much as the data itself.
When Pappers, or its MCP, is enough
To look up a company record, check a balance sheet or plug the French registry into your own agent, Pappers and its MCP are excellent tools, thorough and kept up to date. The need changes when you have to source continuously, catch the right signal at the right time, reach the decision-maker and coordinate a team on sensitive mandates. That is where TailorLead takes over: no longer the data alone, but the full origination workflow, end to end and sovereign by design.
Is TailorLead an alternative to Pappers?
Pappers is a company database: it answers "who is this company?" TailorLead is an origination platform: it finds off-market targets across 27,3M+ entities, surfaces the signal at the right time, delivers the reachable decision-maker and keeps it all in an origination CRM. Where Pappers documents a company, TailorLead drives an acquisition workflow end to end.
Does the Pappers MCP replace a platform like TailorLead?
The Pappers MCP plugs Pappers data into the AI you bring (Claude, ChatGPT, Mistral). It is a data connector, powerful for querying the registry in natural language. TailorLead is the product already built: the model is instrumented for French origination, inference stays in France on a private network, and targets, signals and contacts live in a shared CRM. A connector gives you the data; TailorLead gives you the workflow.
Do my M&A searches stay confidential?
With an MCP plugged into a third-party LLM, your queries pass through the model provider you choose. On TailorLead, inference runs on open-weight models self-hosted in France, on a private, non-exposed network: no data is sent to OpenAI or Anthropic. On a sensitive mandate, where the AI reasons matters as much as the data itself.
Do I have to choose between Pappers and TailorLead?
Not necessarily. If you need to look up a company record or plug the registry into your own agent, Pappers and its MCP do the job very well. If you have to source continuously, catch the signal, reach the decision-maker and coordinate a team on mandates, that is TailorLead's job.
Does TailorLead provide decision-makers' contact details?
Yes. Beyond the identity of directors on the registry, TailorLead resolves the reachable decision-maker: business email, direct line and profile, verified and billed per contact. A database stops at the name; origination starts at the contact.
What is the difference in data coverage?
TailorLead draws on the same official French registries (INPI, BODACC, INSEE/SIRENE), enriched with specialist M&A press and contact enrichment, reconciled on a graph of 27,3M+ entities. The difference is not the number of sources, it is what the platform does with them: signals, contacts and a pipeline, not just a record.