LabWinds
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  • The FeedA self-learning feed that opens like your curated pharma newspaper.
  • The DatabaseEvery human drug, trial, company, and disease, joined, enriched, and live.
  • The AgentNot a chatbot. A pharma analyst you pair with.
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ProductOverview→
  • The FeedA self-learning feed that opens like your curated pharma newspaper.
  • The DatabaseEvery human drug, trial, company, and disease, joined, enriched, and live.
  • The AgentNot a chatbot. A pharma analyst you pair with.
  • Solutions→
  • About→
  • Contact→
Join waitlist→

Pharma intelligenceused to be a procurement project.Now it's a login

Always-on intelligence in a new operating layer

Most pharma tools give you a database, a search bar, or a prompt box. You do the work.

LabWinds does the work upstream. An AI that learns and remembers what you care about, running around the clock. It maps and enriches the pharma market into one connected database, personalises it for you in a feed, and acts on it as your personal analyst.

You return to something already done.

Inside the login
The Database

The market, already mapped.

Every human drug, trial, company, and disease, joined, enriched, and live. Track competitor pipelines, benchmark mechanisms across diseases, or review regulatory and commercial milestones.

The Feed

The news, already read.

A self-learning feed that opens like your curated pharma newspaper. Readouts, enrollment updates, leadership changes, deals, regulatory events, and R&D launches arrive already structured with a one-line so-what on each.

The Agent

The analyst, already working.

Not a chatbot. A pharma analyst you pair with. It learns what you're working on, sharpens as you use it, connects the dots into insights, prepares your morning brief, runs scheduled tasks overnight, and reaches you on email, Slack, or WhatsApp.

The platforms that own this market were built before AI existed

They cost $50,000+ a year.

They take six months to procure.

They still don't know who you are

LabWinds is the version that does

Every entity traces to a source. Every classification traces to an article. Every Analyst answer cites the row.

Your feed · today
Live · Apr 10
Commercial · M&A
Positive7:14 AM
Vertex acquires Alpine Immune Sciences for $4.9B, betting on povetacicept in IgA nephropathy.

So what · Vertex’s biggest non-CF bet to date. TACI/BAFF moves into renal immunology overnight.

VertexAlpine ImmunepovetaciceptIgA nephropathy
Study · Phase 3 readout
Positive readout6:02 AM
Amgen’s tarlatamab extends OS in ES-SCLC; DeLLphi-304 confirms DLL3 BiTE Phase 3.
AmgenImdelltraDLL3Small-cell lung cancer
Agent whisper · R&D

Two competitors on your watchlist filed PCT applications in NASH this week. Quick comparison ready when you want it.

Drug profile

Resmetirom

(Rezdiffra)

Madrigal Pharmaceuticals

Approved
Target
THR-β
Thyroid Hormone Receptor β · ~28× selective over THR-α
Mechanism
Selective THR-β agonist
Liver-selective uptake · reduces hepatic lipotoxicity
Small moleculeOral · QD
Coverage
Trials
47
Indications
1
News
312
Deals
3
Analyst task · complete
4 rows · 23 sources

“TROP2 ADC competitive landscape through 2026.”

AssetPhaseReadout
Datopotamab deruxtecan
AstraZeneca · Daiichi
IIIQ1 2026
Sacituzumab govitecan
Gilead
IVshipping
Sacituzumab tirumotecan
Merck (ex-Sumitomo)
IIQ3 2026

Every entity traces to a source. Every classification traces to an article. Every Analyst answer cites the row.

Solutions

Three corners of pharma, one operating layer

Pharma teams arrive with different questions. Researchers chase mechanisms. Commercial teams chase movement. Consultants and leaders chase the right thing to read first. LabWinds is one platform that earns a seat in each of those working days.

A medical affairs professional reviewing scientific evidence at their workstation.
Science & Medical

Read the mechanism, not just the headline

For pharmacologists, medical affairs, and clinical research teams who follow the science. Mechanisms read structurally, cohorts kept separate, every claim cited back to the trial, the label, or the paper.

  • Drug profiles in five dimensions
  • HGNC-canonical targets
  • Polarity-correct disease cohorts
A business-development professional on a call, phone showing a market alert.
Commercial & Investing

First on the phone when the market moves

For BD, competitive intelligence, equity analysts, and biotech investors who read the market before the market reads itself. Competitor moves arrive already classified, ranked around your coverage, with a so-what that points forward.

  • Competitor pipelines, subsidiaries folded
  • Deals sliced by sector or target
  • Forward-looking so-what on every story
A leader on a bike receiving a high-impact alert on their phone mid-commute.
Consulting & Leadership

Cover your portfolio without slowing down

For consultants and leaders with too many companies and not enough Tuesdays. LabWinds learns who you cover, briefs you overnight, pings your phone when the market moves. Reply in plain English: it drafts the email, sets the meeting, runs the report. No menus, no filters.

  • Coverage learned, not configured
  • Push alerts when the market moves
  • Reply in plain English, it acts
Living, breathing, unified data
0drugs
0companies
0clinical trials
0diseases
0therapy areas
0news stories
  • The feed
  • The database
  • The agent

A feed that gets to know you

Free pharma news is everywhere. Free pharma news that lands ready to act on is not.

  • Category + subcategory. Twenty-one subcategories under six. Every card lands in the taxonomy.
  • Entity chips. The drug, company, disease, mechanism, and trial behind it.
  • Sentiment. Positive, negative, mixed, or neutral, with confidence.
  • A forward-looking so-what. One line on what it means, not just what happened.
Specialist extraction, by event type
  • On a readout→phase, endpoint, result
  • On a filing→regulatory pathway
  • On a partnership→deal structure

That structure is what lets the feed become yours.

The platform learns from how you work.

  • What you read, click, ask, and return to.
  • The assets on your beat, the indications you orbit, the companies you cover.
  • Cards reorder around that picture: events that touch your work surface first, the rest fall away.
No list to manage

You don't manage a list. The feed builds one from how you work.

The longer you use it, the less of it you have to read. The free tier is genuinely free, no signup needed. Sign in, and the picture sharpens.

Study news
Positive readout

BioNTech's BNT327 hits primary endpoint in NSCLC Phase 2; ORR 38% vs 14% control.

So what · PD-L1×VEGF bispecifics are the most-watched class in NSCLC right now. This is the cleanest readout in the space this quarter.

Commercial · M&AChapter 14

The GLP-1 Wars — Novo files for injunction against Lilly's tirzepatide expansion.

14 / 14
Agent whisper · R&D

Three companies on your watchlist made non-opioid pain pipeline moves this month. The space is heating up — I put together a quick competitive view.

Six categories · Twenty-one subcategories
  • Study News

    2 sub
    Clinical Trial NewsReal World EvidenceAI in Study Design
  • Commercial Deals

    4 sub
    M&AFinancingService AgreementsStrategic PartnershipsAI-Related Deals
  • Product News

    3 sub · 2 specialist
    Product SpecsProduct SalesProduct Clinical & RegulatoryAI in Drug Discovery
  • R&D News

    4 sub · 2 specialist
    ProjectsInfrastructurePublicationsIP & RegulatoryAI in R&D
  • Corporate

    3 sub · 1 specialist
    LeadershipGovernance & FinanceProcedural
  • Financial

    5 sub · 1 specialist
    ForecastsPerformanceStock DataComplianceCapital Structure

The pharma market, joined up

R
Roche Holding AGPharma · Public · 33 subsidiaries
616
Drug portfolio
901
Trials
291
News articles
26
Deals
47
Approvals
18
Leadership
1,247
Publications
17
Therapy areas
33 subsGenentech·Chugai·Carmot Therapeutics·+30 moreGenentech · Chugai · +31
Include subs
Drugs
Pipeline
Trials
Deals
Regulatory
Leadership
MechanismP1P2P3APPROVED
  • Anti-PD-L12311
  • ADC4632
  • Bispecific32··
  • Anti-CD20·124
  • Anti-HER2·213
View full pipeline →
HER2+ Breast CancerParent · Breast cancer
Disease taxonomy · lineage
  1. Oncology
  2. Cancer
  3. Organ system cancer
  4. Thoracic cancer
  5. Breast cancer
  6. HER2+ Breast Cancer
8
Approved
188
Trials
488
Companies
322
News articles
12
Reg events
27
Deals
1,847
Publications
$45B
Market 2025
Overview
Drugs
Trials
Regulatory
Deals
News
Approved drugs (8)top 5 shown
  • TrastuzumabHerceptinmAb
  • PertuzumabPerjetamAb
  • T-DXdEnhertuADC
  • T-DM1KadcylaADC
  • TucatinibTukysaTKI
Active trials by drug class188 active
mAbs97TKIs102ADCs69Bispecifics6
Scope · polarity handled

HER2-positive cohort only. HER2-negative and triple-negative tracked separately under their own entities.

The LabWinds database is the joined-up working picture of the pharma market: every human therapeutic drug, the companies behind them, the diseases they target, the trials testing them, the labels approving them, the regulatory events shaping them, the deals moving them, the news changing their story. Each fact enriched from multiple authoritative sources, verified against itself, traced to its origin.

  • Drugs. Characterised five ways: class, modality, target, mechanism, therapeutic intent.
  • Targets. Resolved to canonical HGNC gene symbols. A query for BCMA finds every bispecific listing TNFRSF17.
  • Companies. Harmonised into operating brands and ultimate parents. Genentech and Chugai roll up under Roche.
  • Diseases. A curated multi-level hierarchy mapped to 17 therapeutic areas, with polarity handled. HER2-positive, HER2-negative, and triple-negative are distinct cohorts.
  • Indications. Approved come from drug labels. Experimental come from clinical trials. Both carry biomarker, line of therapy, and combination context.

Every entity profile is synthesised across the lot.

Joined data is what makes the questions worth asking.

  • Map a company's pipeline by phase, mechanism, and indication, with subsidiaries folded in.
  • Benchmark competitors across a target class.
  • Landscape a disease end-to-end: approved drugs, experimental trials, regulatory journeys, deal flow, and the news that moved them.
  • Trace any asset's regulatory journey from IND through approval.
  • Filter deals by type, mechanism, indication, geography, or buyer sector.
  • Watch trend lines on a mechanism or modality over years.
Live, not delayed

News often lands before the trial registries update. The data layer pushes trial state forward as readouts happen: enrollment shifts, endpoint hits, status changes. Not when the registry catches up.

The version of this that enterprises pay $50,000+ a year for is locked behind a procurement contract. The version you can use right now isn't.

Deals DatabasePartnerships · M&A · Financings · Service agreements · updated dailyPartnerships · M&A · Financings
Live
Filter by
Active filters · 8
Saved view ▾+ Filter
Partnership×AI / ML×Co-Development×Oncology×Value ≥ $1B×United States×2024×Status: Announced×
Top deals · sorted by value↓ Value
PartiesTypeStage / AssetValueStatusDate
  • SSchrödinger×NNovartis
    Co-DevelopmentAI / ML
    Multi-target discovery
    $4.6B$150M upfront
    AnnouncedNov 12, 2024
  • MMonte Rosa Therapeutics×NNovartis
    LicensingAI / ML
    MGD platform
    $2.25B$150M upfront
    AnnouncedOct 28, 2024
  • Iinsitro×BBristol Myers Squibb
    AI TechnologyAI / ML
    Target ID · ALS
    $2.05B$50M upfront
    AnnouncedDec 18, 2024
  • FFlare Therapeutics×RRoche
    Co-DevelopmentAI / ML
    Transcription factors
    $1.87B$70M upfront
    AnnouncedNov 14, 2024
  • SNSchrödinger × Novartis
    $4.6B$150M upfront
    Co-DevelopmentAI / ML· Multi-target discovery
    AnnouncedNov 12, 2024
  • MNMonte Rosa Therapeutics × Novartis
    $2.25B$150M upfront
    LicensingAI / ML· MGD platform
    AnnouncedOct 28, 2024
  • IBinsitro × Bristol Myers Squibb
    $2.05B$50M upfront
    AI TechnologyAI / ML· Target ID · ALS
    AnnouncedDec 18, 2024
  • FRFlare Therapeutics × Roche
    $1.87B$70M upfront
    Co-DevelopmentAI / ML· Transcription factors
    AnnouncedNov 14, 2024
Open any deal for the full profile: parties, milestone schedule, IP terms, territorial rights, advisors, market reaction.View all deals →
Entity resolutiondrug_id · 0d3a9c
OzempicWegovyRybelsus+ 44→semaglutidecanonical
1,247articles across all aliases

An analyst that works
the hours you don't

Not a pharma chatbot. The LabWinds Analyst runs against the resolved database, plans the steps, picks the tools, and cites every claim back to the row it came from. It learns what you're working on between sessions, and works while you're not in the app.

  • Domain specialist. Skill cookbooks teach the agent how to think about drugs, companies, diseases, trials, deals, labels, and regulatory events. Not one system prompt.
  • Specialist tools. Callable tools beyond text: compare drugs by biomarker, landscape a target class, pull a company pipeline with subsidiaries folded in. Simple lookups route fast; multi-step analysis escalates to deeper models.
  • Persistent memory. Per-user facts, watchlists, and working context carry between sessions. No preferences screen. It learns from what you read, ask, return to, and correct.
  • Grounded, not guessed. Every factual line cites the trial NCT, the drug label, the news article, the publication, the row. A query ledger records the filters actually applied, so the agent can't quietly broaden a claim.
Example analyst queries, by shape
  • "GLP-1 obesity pipeline by readout date"→ranked table, cited per row
  • "Brief me on Novartis before Thursday"→400-word brief
  • "What moved on my watchlist overnight"→3 movements, ranked

It doesn't wait for you to ask.

Three jobs run continuously.

  • Pulls together your Morning Brief overnight, ordered by what's on your watchlist.
  • Runs scheduled tasks in plain English: 'every Friday, oncology deals from this week.'
  • Whispers when something on your beat moves. Stays quiet when nothing does.
  • Picks up where you are. Open a drug profile and ask 'how does this compare to last quarter' — it already knows the drug.
Meeting prep, while you sleep

Ask the analyst to brief you on Novartis before Thursday's customer call. By 6am, it's pulled the pipeline movements, regulatory events, deal activity, and three things that changed since you last asked, with citations on every line.

On your desk during the day. In your pocket on the train. On your watchlist while you sleep.

Join the waitlist →
01Morning brief
Today's briefing
7:03 AM
Hero story

Vertex's VX-548 clears Phase 3 in acute pain — first non-opioid to do so in 15 years.

Why this matters · You flagged Vertex two weeks ago. The hazard ratio is the cleanest non-opioid signal we've seen this cycle — relevant to your BD call at 10am.

VX-548Vertex PharmaceuticalsAcute pain
02Scheduled task

Overnight watchlist scan

Complete

Ran 03:42 · 47 events flagged · 3 surfaced

Next run · tomorrow 03:30

03Reached you on
Slack#watchlist · just now
LabWinds Agent BNT327 Phase 2 readout just published — competitive view for NSCLC ready.
Emailagent@labwinds · 8:14 AM
Your watchlist · 3 movements you'll want to see
PushiOS · 12 min ago
Vertex VX-548 cleared Phase 3.
04Analyst query
Working
Complexity: Tier 2
You · 09:14

Compare Keytruda vs Opdivo PD-L1 trials in NSCLC.

Analyst
ROUTEdrug_biomarker_compare · conf 0.92
RECALL“you've been comparing PD-1/PD-L1 inhibitors this week”
WORKFLOWprefers ranked tables · withdrawn drugs flagged · concise summaries
RESOLVEKeytruda → pembrolizumab (+11 aliases) · Opdivo → nivolumab (+11 aliases)
SKILLdrugs cookbook · multi-target structure, status caveats
TOOLcompare_drugs_by_biomarker(biomarker=PD-L1, indication=NSCLC)
↳class verification: anti-PD-1 (not direct PD-L1) — caveat surfaced
↳Drug labels · 6 approved indications across both drugs · 4 NSCLC
↳Study database · 27 trials stratified by biomarker cutoff (TPS, CPS, IHC)
LEDGERentry #4 written · filters [PD-L1, NSCLC] · predicate guard ✓
Answer ↓

Keytruda holds the first-line NSCLC monotherapy slot. Approved when PD-L1 TPS ≥ 50% (KEYNOTE-024 NCT02142738) and later extended to TPS ≥ 1%. Opdivo's first-line approval is combination-only, with ▋

The City of London skyline, where LabWinds is built.
London · EC
About

Built by people who have lived the problem.

LabWinds is built by a small team of pharma operators, data scientists, and AI engineers who have worked inside the industry and across the platforms that serve it. We have seen what the $50-100K+ a-year incumbents do brilliantly. We have also seen where they leave you stranded.

We have watched colleagues open Google or ask Claude on a Tuesday afternoon, because the dedicated tool was slower than the open web. With access to the most expensive intelligence platforms on the market, that should not be the answer.

So we set out to build the answer. A platform that knows the pharma market, learns your beat, and works the hours you do not. That is LabWinds.

Proudly British. Based in London. Serving a global market.

Pharma intelligence, on a credit card.

No procurement. No contract. No six-month pilot.

Start with the feed — it's free.

Join the waitlist→Start with the feed→

We read every signup. No marketing emails — just a personal note when your seat is ready.

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