Pistachio helps life sciences BD and commercial teams identify who to target, when to reach out, and why now — using real-time signals from clinical trials, publications, conferences, and hiring activity.

David Lam
VP Data Science · AstraZeneca
His team is actively scaling ML infrastructure for molecular representations — exactly the problem your platform solves.
"Saw your post on scaling molecular representations — we've been working with teams hitting similar limits. Compare notes at Bio-IT?"
Sarah Chen
Head of Computational Bio · Roche
Teams scaling up AI/ML often need external platforms to accelerate — your timing is perfect as she builds.
"Noticed your team is scaling up AI/ML — happy to share what's worked for similar buildouts. Free for coffee at Bio-IT?"
Michael Torres
Dir. External Innovation · Novartis
He's the decision-maker for AI partnerships and has a track record of closing deals with companies like yours.
"Looking forward to your panel — we've helped accelerate a few AI partnerships in this space. Would love to connect after."
9.5 hours of research saved on this page alone —signals updated in real-time
The problem: As an early team, everyone could be a customer — which means no one is a priority.
Pistachio: Helps startups narrow a broad pharma and biotech landscape into a focused list of accounts most likely to be receptive right now, based on real activity.
The problem: Cold outreach sounds generic because timing is unclear.
Pistachio: For each prioritized account, provides clear context on what has changed recently — giving founders a concrete reason to reach out now.
The problem: Reaching the wrong team wastes your best early shots.
Pistachio: Connects account activity to the teams and roles most likely to feel the pain, helping focus on stakeholders who can evaluate and champion a new product.
The problem: Early outreach feels risky when every message is a guess.
Pistachio: With account focus, timing context, and stakeholder clarity, teams can reach out with messages that feel informed and relevant — increasing reply rates.
Pre-built, research-backed lists of companies and decision-makers — with verified activity signals, sources, and contact info. Updated on a schedule so you always have fresh leads.
40+ pharma & biotech companies with imminent FDA submissions — regulatory signals, filing timelines, and decision-maker contacts.
48 pharma AI/ML decision-makers who are actively building, hiring, and investing — with verified activity signals and proof.
45 companies racing to build the next obesity blockbuster — drug candidates, clinical stages, deal signals, and BD contacts.
52 pharma companies who presented at ASCO GI 2026 — with 156 oncology decision-makers and verified conference signals.
55 pharma AI leaders who presented at AWS re:Invent, NVIDIA GTC, Google Cloud Next, Bio-IT World in 2025.
12 major pharmas shaping AI standards in OpenFold3/AISB & Pistoia Alliance — the decision-makers buying AI tools.