Describe your
ideal provider.
Agents do the rest.
Natural language targeting, machine-learning prioritization, and autonomous research — across every physician in the United States. The time-consuming work between finding a lead and selling to them, handled before your rep picks up the phone.
Your best sellers are stuck doing research instead of selling.
Reps spend 40% of their week on work that isn't selling — building lists, cross-referencing data, reading up on prospects, guessing who to call next. That is the work Oystercatcher was built to do.
A list of one hundred
high-fit providers beats
ten thousand random contacts.
of a rep's time back — hours formerly lost to research, list-building, and manual data work.
typical pre-call research per high-priority prospect — replaced by an agentic dossier in a few minutes.
spreadsheets, half-finished lists, stale scores. Replaced by one ranked queue that learns from what closes.
Three systems, one prepared rep.
Oystercatcher combines natural-language targeting, machine-learning prioritization, and agentic research to identify, rank, and understand the providers most likely to buy your product.
Plain English in.
Structured criteria out.
Describe your ideal customer the way you'd describe them to a colleague. Seconds later, Oystercatcher hands back a ranked list of providers who match — specialty, geography, practice type, and behavioral signals all resolved. No taxonomy lookups. No query builders. No “is it MeSH term D057208 or J2.785.815?” How we turn a sentence into the right list is our own craft — and sharper than anything a general-purpose tool will give you.
- InputSay it the way you’d say it to a colleague.
- OutputA ranked list of matching providers, ready to work.
- ResolvesSpecialty · geography · practice type · behavioral signals.
- MethodProprietary — tuned on healthcare, not repurposed search.
Who to call next,
ranked and explained.
Every provider receives a 0–100 composite score across three dimensions: Filter Match (how well they fit your ICP), Clinical Fit (buying signals like technology adoption and practice growth), and Accessibility (contactability and decision authority). Then models compound insights from your team's interaction history, deal outcomes, and engagement patterns — so prioritization gets sharper with every closed-won and closed-lost.
- DimensionsFilter match · clinical fit · accessibility.
- TiersHot · Warm · Cool · Cold — explainable, not a black box.
- LearnsFrom your actual wins and losses, not a generic model.
- AdjustsDimension weights per campaign.
The Googling,
autonomous.
This is the work your reps do manually today — Googling every prospect, reading publications, scanning LinkedIn, checking news, taking notes. Oystercatcher's agents do it on-demand for any provider in your pipeline. They gather, synthesize, and cite publications, clinical trials, speaking engagements, technology-adoption signals, and practice news. The output isn't raw data. It's structured context and talking points your reps can use immediately.
- ReplacesHours of manual pre-call research per prospect.
- SurfacesPublications, clinical trials, news, conference appearances.
- DetectsTechnology adoption and buying signals automatically.
- DeliversStructured talking points ready for outreach.
Dr. Maya Shreve, MD
Hosted a robotics adoption panel last month.
Chaired the AAOS regional session “Scaling Robotic-Assisted TKA in Mid-Size Practices” — a strong technology-adoption indicator for your category.
Owner, not employed. Partnered-MSO model.
Practice growth from 4 → 9 surgeons in 24 months. Two new locations in high-cost ZIPs. Owner-operated — decision authority is hers.
- Reference her AAOS robotics panel — congratulate, ask what surprised her.
- Pattern-match: two other mid-size owner-operated practices who adopted in month nine.
- ROI angle for her second location, not her flagship.
From ICP to informed conversations, in four moves.
No spreadsheets. No manual research. Just tell us who you want to sell to — then let the platform prepare the rep.
Describe your ICP
Plain English in. A matched, ranked list of providers out — no taxonomy lookups, no query builders.
Providers matched & ranked
ML scores millions of providers on fit, readiness, and reach — ranked by likelihood to convert.
Agents research the top
Autonomous workflows dig into your highest-ranked leads. Publications, signals, context, delivered as a dossier.
Track progress
Sell with research-backed context, follow every lead through close, and let models learn from outcomes — sharpening prioritization for every future campaign.
Flat annual pricing. No per-seat fees.
Two starting points. Upgrade as you grow. Enterprise available for larger teams, custom integrations, and procurement.
Priced for teams
that sell to
physicians.
One flat fee for the account. Seats included. No surprises in the contract.
- +3 seats included
- +Unlimited campaigns
- +600 contact exports / month
- +Agentic research · 200 / mo
- +Natural-language ICP targeting
- +Explainable score breakdowns
- +12 seats included
- +Unlimited campaigns
- +2,000 contact exports / month
- +Agentic research · 800 / mo
- +CRM integration (Salesforce sync)
- +Deal attribution & ROI reporting
Your data is encrypted at rest and in transit. HIPAA-ready infrastructure. SOC 2 Type II certification in progress. We build for sales teams working with real patient-adjacent data — every integration is OAuth, every sync is audited.