AI email personalization

Cite the paper.
Earn the reply.

Every email draws from the prospect's actual research and your actual product. No generic templates. No first-name tokens. No hallucinated citations.

Capabilities

Every email is an argument, not a mail merge.

Cite the right paper

Every email references a specific, recent publication from the prospect's OpenAlex record — pulled at send time, not baked in.

Grounded in your product

Upload your one-pagers, datasheets, application notes, and customer stories. The AI draws proof points from your actual materials, not invented claims.

Full sequences, not just openers

Three-to-seven email sequences generated end-to-end, each email building on the last with different angles and CTAs.

Review, edit, or overwrite

AI writes the first draft. You stay in control. Inline edits, full rewrites, or approve-as-is — per contact or per sequence.

Hallucination-resistant

Strict URL and claim validation. The AI can only cite what's verifiable from the prospect's record and your knowledge base. No fabricated papers, no made-up quotes.

Subject lines that work for biotech

Trained on what actually gets opened by PIs and BD leaders — concrete, specific, no 'Quick question' and no all-lowercase SaaS tricks.

Email preview

AI draft
To:m.kessler@broadinstitute.org
Subject:Your August paper on CAR-T persistence

Hi Miriam,

I read your August paper on CAR-T persistence in solid tumors — the single-cell signatures you identified match a use case our customers at MSK have run this year.

Would a 20-minute call next week make sense...

Cites paper from OpenAlex · Proof from your knowledge base

Personalization depth

Three layers of context in every email.

Generic personalization tokens (hi {firstName}) fool nobody. Beanstalks composes each email from three live data layers so the reader knows you actually read their work.

  • Prospect layer: their latest paper, grant, institution role, publication cadence
  • Product layer: the specific use case of yours that maps to their research
  • Proof layer: the customer story, data point, or reference relevant to that use case

Knowledge base

4 docs

Product one-pager.pdf

Parsed · Positioning

CAR-T case study.pdf

Parsed · Proof point

App note — oncology.docx

Parsed · Use case

Pricing sheet.pdf

Parsing

Drop PDF / DOCX / URL to add more context

The knowledge base

Upload your materials. The AI learns your positioning.

Drop in your product one-pagers, application notes, customer case studies, and published data. Beanstalks parses them into structured positioning — what the product does, for whom, with what proof. Every email afterward draws only from this set.

  • PDF, DOCX, TXT, URL inputs supported
  • Automatic extraction of use cases, proof points, and CTAs
  • Version-controlled — update the KB, future emails update instantly
  • Shared across a team's Stalks, or scoped per user

Security posture

Live

Production-grade

For biotech data that deserves it

Encryption at restAES-256
Encryption in flightTLS 1.3
Mailbox credentialsEnvelope-sealed
SSO / SAML / SCIMEnterprise
SOC 2 Type IIOn audit path

Guardrails

The strictest URL validator in the category.

AI-written emails have a chronic hallucination problem: fake URLs, invented paper titles, fabricated customer stories. We shipped multiple layers of validation because we got burned before. The system can only reference URLs on your explicit allowlist and citations that resolve to real publications.

  • Two-stage URL allowlist validator (exact match, normalized form)
  • Publication citation verification against the source DB
  • Customer story reference restricted to knowledge base entries
  • Final sanitization pass right before the worker transmits

Pipeline funnel

Last 30 days
Queued2,400
Sent2,187
Opened892
Replied178
Meeting42

Reply rate

8.1%

Meetings

42

Cost model

AI credits included. No separate Anthropic bill.

Every plan ships with AI credits for generation, scoring, and research synthesis. You don't need an Anthropic or OpenAI account. You don't pay per-token. The credit pool is sized around realistic biotech prospecting volume, with overage options if you out-grow a tier.

  • Starter: enough for ~500 personalized emails per month
  • Pro: ~2,000 personalized emails per month
  • Scale: ~10,000 personalized emails per month
  • Enterprise: usage-based, negotiated per contract

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