Deal qualification intelligence · Biotech sales teams

Before you commit the forecast, know which deals are real.

AlphaSales reviews the calls your biotech sales team already records, and shows you which open deals are genuinely qualified, which are quietly stalling, and which to downgrade before you sign off the number – graded for how life sciences actually buys. No integration. No rollout.

Apply for a pilot →See how it works
The economics of qualification

The most expensive resource in your sales team is time spent on deals that were never going to close.

It rarely shows up as a lost deal. It shows up as a longer cycle and a forecast you cannot trust. Better qualification improves your hit rate on the deals worth winning.

Use your own numbers to see what a modest improvement is worth — before you commit the forecast.

Interactive calculator

Size the value of sharper qualification

e.g. 30% → 33%
10%
  • £243,000additional won revenue per year, on the same selling effort
  • 5.4additional deals won per year
  • 126opportunities that currently go nowhere, freed to re-deploy

The principle is not new. In professional services, the biggest lever on profit is how effectively selling time is spent, and small gains in effectiveness compound faster than any pricing or cost change. Charles H. Green puts it plainly: a firm at 50% utilisation and a 5% margin can double its profit with a 10% improvement in selling effectiveness. A sales team is the same equation with different labels.

Illustrative only, based on the figures you enter. It assumes the same selling effort produces a higher hit rate, not more activity. It is a way to size the opportunity, not a forecast.

01 · The problem

You're asked to commit a number you can't fully verify.

The CRM says one thing. The rep says another. The buyer evidence may support neither. By the time a deal's been miscalled, there's rarely enough cycle time left to replace it.

Biotech makes it harder. Lots of interest with no decision path. Deep technical detail with no business consequence. Scientific curiosity is easy to mistake for buying intent – and it inflates pipeline that was never real. Grant cycles, CapEx vs OpEx, scientific buyers who aren't the budget holders, clinical milestones that move, procurement gates that appear at month six.

Horizontal conversation-intelligence tools score whether "budget"was mentioned. That's the wrong question.

The right question
Was the right type of budget qualified, with the right buyer, against the right milestone?
Nobody else is asking that.
What we do

AlphaSales is the qualification intelligence layer between the sales call and the forecast. We've turned a biotech-specific qualification methodology – drawn from years of selling into life sciences – into an engine that reviews the calls your team already records and shows you which deals the evidence actually supports. What generic tools can't see.

How it works
Input
Your recorded calls
Transcripts from Gong, Zoom, Teams, or any recorder. Any format.
Analysis
Biotech-specific engine
Methodology that reads budget types, personas, and urgency drivers generic tools miss.
Output
Report you can act on
Qualification map, per-rep coaching map, concrete actions – plus a founder debrief.
02 · How it works

You send us transcripts. We deliver a report you can act on.

The methodology distinguishes grant from CapEx from other budgets. It tells a principal investigator apart from a core-facility manager — and their decision-making influence. It flags risks and urgency drivers generic tools miss — demo qualification depth, grant deadlines, risks not addressed.

Here's what shows up in your report.

01
Forecast confidence view
Which open deals the buyer evidence supports, which are weak, and which to downgrade before you commit the number. The one-page read for a forecast or board review.
02
Qualification map
Across the framework that fits your team — our methodology as default, or mapped to BANT or your own. Shows where qualification is solid, where it's thin, and where it's missing.
03
Per-rep coaching map
Where each rep can sharpen, and why – patterns visible only across the whole team at once.
04
Biotech-specific observations
Budget-type patterns, persona mismatches, missed urgency drivers. The signals generic tools don't look for.
05
Concrete coaching actions
Per-rep actions grounded in what the data actually shows. Specific enough to use in the next 1:1.
06
60-minute debrief
Walk-through with the founder. Your questions, our read, your next steps.
No integrations needed. No rollouts or multiple steps before you see results.
03 · Why retrospective

You already sit on the most valuable sales data you own.

Weak qualification rarely shows up as a lost deal. It shows up as a longer cycle and a forecast you can't trust – and by then the call that caused it is months behind you.

Every call your team has run is sitting in your recorder. You've paid for it once. Almost nobody is extracting real insight from it.

  • 01
    No installation, no integration, no IT conversationYou send transcripts, we deliver the report.
  • 02
    No change to how your team worksNothing to learn, nothing to adopt, nothing to resist.
  • 03
    Fast to valueWeeks, not quarters.
  • 04
    Low commitmentA fixed-scope pilot, not a platform contract. You get the insight first. If it's useful, we talk about what comes next.

How we handle your data

Transcripts are anonymised before processing on request. Processed on servers of your choice where required. GDPR-compliant, UK-based, DPA available.

04 · Who this is for

Sales managers and commercial leaders at companies selling into biotech or pharma.

You're a fit if
  • You sell reagents, instruments, CROs/CDMO services, diagnostics, or anything adjacent
  • Your team records sales calls (Gong, Zoom, Teams, any recorder)
  • You want a quick, sharp, tailored diagnosis of how your team is performing — and where coaching or process changes would move deals
  • You suspect your team is missing qualification signals specific to scientific buyers
  • Even if only your inbound or inside-sales calls are recorded – that's enough to start.
You're not a fit if
  • Your calls aren't recorded or transcribed
  • You want live call coaching (not what we do — yet)

New in the role?

Just stepped into a commercial leadership role? Get an honest baseline of the team you've inherited before you change anything. No politics, no self-audit – a clear read of where qualification is strong and where deals are quietly at risk, in your first 90 days.

05 · How a pilot works

Four steps. No surprises.

Step 01

Intro call

20 minutes. We confirm fit, you confirm you can share transcripts.

Step 02

You send transcripts

Any format. We handle the rest.

Step 03

Review and report

We run the analysis and deliver the report. Turnaround depends on dataset size — we give you a specific date after Step 01.

Step 04

Debrief

60 minutes with the founder. We walk through findings. You ask anything.

Pilot

A fixed-scope review – 5 to 10 active opportunities. You get the forecast-confidence read and an opportunity-evidence table first. If it's useful, we talk about what comes next.

Priced on the scope you choose. No subscription. No lock-in.

Extended scopes — custom methodology overlays, larger datasets, multi-team comparisons — quoted on request.
06 · About

Founded by Michal Lipka — PhD, 10+ years in biotech commercial roles, formally trained in Miller Heiman, Sandler, and other sales methodologies — and Andrej Kaurin (CTO).

Backed by mentors with 25+ years of life sciences commercial leadership.

07 · Apply

Apply for a pilot.

Seven questions. Two minutes. We reply within 48 hours.

Pilot application
All fields required unless marked optional.
Or email hello@alphasales.ai directly.