Cover the map.
Coordinate the team.
Territory by state, institution, topic, or funding. Shared Stalks for BD teams. Five layers of enforcement so out-of-territory leads never ship.
Capabilities
TAM mapping meets BD team management.
Territory by any dimension
US state, country, institution type, specific topic, or custom account list. Overlay multiple dimensions for precise carve-outs.
Five-layer enforcement
Email TLD, affiliation pattern, state/country, autopilot reject-confirmed, wizard strict-whitelist. Out-of-territory leads cannot accidentally enter a Stalk.
Shared Stalks
One BD leader builds a Stalk, the whole team runs it with their own territory filter applied. Ops defines once, reps execute many.
Role-based access
Admin, Manager, Rep, Read-only. Managers see team pipeline. Reps see their territory. Nobody sees what they shouldn't.
Duplicate detection
If two reps have overlap on the same PI, Beanstalks flags it before either sends. No embarrassing double-emails to a head of R&D.
TAM visualization
See your entire addressable market on an interactive map. Filter by institution type, topic, or funding level. Spot under-covered pockets.
Territory coverage
NortheastStates
8
PIs in scope
12,847
Institutions
241
Territory, redefined
Biotech TAM is not a US-states map.
A pharma BD rep's territory might be 'all academic medical centers in the northeast doing cell therapy research with active R01 funding.' Beanstalks supports that directly — as a single saved territory on a Stalk, not a spreadsheet glued to a geographic lookup.
- Geographic: US state, country, region, metro area
- Institutional: academic, pharma, biotech, CRO, government, nonprofit
- Topical: specific research areas mapped to your product's use case
- Funding: active NIH grant holders, award amount thresholds
- Accounts: whitelist or blacklist specific institutions
Security posture
LiveProduction-grade
For biotech data that deserves it
Enforcement
Five layers of territory defense.
We shipped territory enforcement after a messy lead cleanup where 69 out-of-territory leads slipped through. The fix was to assume every layer might fail and layer five defenses so no one ever does.
- Email TLD match (no .ac.uk when your territory is US-only)
- Affiliation string pattern check
- Resolved institution state/country comparison
- Autopilot reject-confirmed-out-of-territory gate
- Wizard strict-whitelist mode for sensitive accounts
Team pipeline
This weekShared Stalks · duplicate detection on
Team operations
Roles, seats, and shared Stalks.
Sales operations gets a central control plane: define roles, carve territories, publish shared Stalk templates. Reps get speed: login, see their territory, execute. Managers get visibility: coach on outcomes, not on clicks.
- Admin / Manager / Rep / Read-only roles
- Seat management with provisioning via SCIM (Enterprise)
- Shared Stalk templates — one author, many executors
- Per-rep pipeline reporting
- Duplicate detection across rep overlap
Institution mix
Your TAM12,852 institutions
Classified via OpenAlex + ROR
Institution awareness
Our root data knows institutions, not just domains.
Beanstalks parses institution types directly from OpenAlex classifications — education, company, healthcare, government, nonprofit — instead of keyword matching on company names. That means your 'pharma only' filter catches Pfizer, Novartis, and that 40-person biotech startup without false positives.
- OpenAlex institution_type as ground truth
- ROR (Research Organization Registry) linking
- Academic medical centers folded correctly into Academic
- Custom institution lists for sensitive accounts
Keep exploring
More pillars of a biotech Stalk
Lead discovery
500K+ indexed biotech researchers, scored against your ICP.
AI email personalization
Emails that cite the specific paper your prospect published.
Multi-channel outreach
Email, LinkedIn, and travel outreach in one workspace.
Campaign management
Stalks, sequences, autopilot, per-rep pipeline views.
Deliverability
Warmup, rotation, reputation — inbox placement over volume.