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
Right now your BD reps are stitching together ClinicalTrials.gov, PubMed, LinkedIn, and three enrichment tools — or waiting on marketing and data science to cut the segment. Pistachio is one platform that runs the queries, pulls the data, and scores the signal. Your team focuses on the positioning, the angle, and the conversation.
A week of context-switching to build one outreach list. Half of it is stale by the time you send.
One platform. Ask in plain English. Pistachio figures out which sources to pull, runs the queries, verifies the contacts, and scores the opportunity. You spend your time on the conversation, not the research.
A short session where we ingest your ICP, territory, target accounts, and product context. Pistachio uses that grounding for every query your team runs from day one.
Natural-language queries pull from live clinical trials, publications, preprints, regulatory filings, NPIs, and LinkedIn. No SQL, no filter-builder. Every result cites its sources.
Scored stakeholders, account signals, and draft outreach — in CSV or directly into your CRM. Follow-up signals surface automatically when saved accounts change.
Public registries, peer-reviewed research, regulatory filings, and the conference content your team already tracks — unified under one roof, cited on every result.
One platform to replace the five your team currently juggles. Unlimited research, every data source, and the AI agents that do the cutting, segmenting, and signal work — so your reps focus on the conversation.
For individual BD reps getting started with AI-powered signal.
For commercial teams consolidating sales intelligence and ad-hoc research.
For organizations running GTM across multiple products and regions.
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.
Included free with Team and Enterprise plans · Available standalone for individual purchase
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.