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Life Sciences & Healthcare

Pharma competitive intelligence from molecule to market.

SinglePoint delivers governed pharma competitive intelligence for life sciences and healthcare: it centralizes trial data, scientific publications, patents, regulatory signals, competitor pipelines and internal research in one governed platform, and cites every claim to its source document. From molecule to market, R&D, competitive intelligence, and medical affairs teams move faster, anticipate shifts, and protect launch readiness.

Pipeline watchCited to source
  • TrialToday
    Competitor begins a Phase 3 trial in a new indication
    1
    Trial registry
  • LiteratureToday
    Preprint reports mechanism data for a rival compound
    2
    Preprint · Scientific literature
  • RegulatoryYesterday
    Regulator issues draft guidance on accelerated approval
    3
    Regulatory update

Powering strategic insight for the world’s leading life science enterprises

  • Johnson & Johnson
  • Daiichi Sankyo
  • Merck
  • Takeda
  • AbbVie
  • Organon
  • Genmab
  • Alkermes
  • argenx
  • CSL Behring
  • Pfizer
  • Thermo Fisher
  • EMD Serono
  • GSK
  • Humana
  • Bayer
  • Cigna
  • Mayo Clinic

The short answer

What pharma teams need from a competitive intelligence platform.

Pharma competitive intelligence spans trial registries, pipelines, patents, scientific literature, regulatory signals and a company's own research. Most R&D and strategy teams use two layers: specialized data sources, and a platform that brings them together so teams can search, synthesize and share across therapeutic areas. Northern Light SinglePoint is that platform. It unifies licensed research from 150+ providers with your internal content, enriches it by therapeutic area, mechanism and indication, and cites every AI answer to its source document.

The problem

Friction in insight slows innovation.

In life sciences, every delayed insight, duplicated study, or missed signal increases cost, risk, and lost opportunity.

  1. 01
    Scattered clinical and competitive signals.
    Trial data, regulatory updates, and competitor moves live in separate systems, slowing visibility and response.
  2. 02
    Research redundancy across teams.
    Without a single source of truth, R&D, CI, and medical affairs duplicate effort, wasting budget and delaying impact.
  3. 03
    Manual synthesis burns time.
    Analysts spend hours combing through PDFs and portals instead of interpreting the strategy.
  4. 04
    Insights miss the moment.
    By the time intelligence reaches decision-makers, the opportunity may be gone, putting pipeline strategy and launch readiness at risk.

How SinglePoint helps

One governed source, from molecule to market.

Monitor clinical, scientific and competitive signals

Monitor trial registries, scientific publications, patents, regulatory updates and competitor pipelines in one governed platform, auto curated and mapped to your strategic priorities.

CI summary · Therapeutic area AThis week

Summary

Two competitor assets are advancing toward Phase 3.
1
2

One adds a new indication; the other reports updated safety data.

  • Trial registry
    Phase 2 readout scheduled for a competitor asset
  • Journal article
    Peer-reviewed safety data in the target population
  • Patent
    New composition-of-matter filing by a rival
  • Internal study
    Your prior KOL research on treatment sequencing

Role- and function-specific delivery

Tailor dashboards, alerts, and newsletters for therapeutic teams, R&D, CI, and brand leads, so the right stakeholders get the right signal in time to act.

Enterprise-safe governed AI synthesis

Ask questions in plain language and receive explainable answers cited to the source document, drawn from licensed and internal sources and tuned for regulated life sciences environments.

From signal to decision

Turn life-sciences signals into cited intelligence.

  1. Step 01

    Monitor the sources that shape the market

    SinglePoint brings trial registries, scientific literature, patents, regulatory updates, licensed research and internal intelligence into one governed environment.

  2. Step 02

    Search, synthesize and verify

    Industry-specific enrichment and governed AI surface relevant signals and return answers cited to the source document, so teams can verify what supports the conclusion.

  3. Step 03

    Deliver intelligence to the teams making the decision

    R&D, competitive intelligence, medical affairs and strategy teams use dashboards, alerts, newsletters and cited answers to inform pipeline, launch and market decisions.

Use cases

Pharma competitive intelligence use cases.

  1. Trial and competitor monitoring.

    Track competitor pipelines, clinical study results, and regulatory changes with automated dashboards, cutting hours from manual review.

    Tracks

  2. Scientific literature intelligence.

    Search 5M+ conference abstracts and 15M+ life science articles alongside preprints, tagged to mechanisms and indications, so R&D and medical affairs teams get therapeutic-area answers with citations that survive the trip into a slide.

    Sources

  3. Compliance and risk monitoring.

    Surface policy changes, off-label claims, and risk indicators across global markets to protect launch timelines and brand reputation.

    Surfaces

How to choose

How to choose a pharma competitive intelligence platform.

Five questions separate platforms that work in a regulated R&D environment from those that don't. Use this scorecard in your next evaluation.

The test
Look for
Red flag
1

Coverage

Does it bring pharma's sources into one place?

Trials, pipelines, patents, literature, regulatory and internal research in one search
A separate tool for each source
2

Rights

Is it licensed to use paywalled research with AI?

Licensed AI use on analyst and syndicated research
Content you can display but not use with AI
3

Traceability

Can a reviewer check every answer?

Every answer cites its source document
Summaries with no source links
4

Governance

Will it pass your security review?

SOC 2, document-level permissions, zero data retention, no training on your content
Consumer AI terms of service
5

Delivery

Does insight reach the teams who decide?

Dashboards, alerts and briefings for R&D, medical, commercial and leadership, plus Microsoft Copilot
A search box only analysts use

In their words

“Before SinglePoint, our CI team spent days preparing competitive summaries. Now we deliver daily briefings across therapeutic areas, with confidence, consistency, and zero duplication.”
Director of Competitive Intelligence, top-10 global pharma

Proof

Results from teams like yours.

  • Top-10 global pharma

    Moved from days of preparing competitive summaries to daily briefings across therapeutic areas, with zero duplication.

  • Research compliance

    A Fortune 500 healthcare company cut research compliance review time by 70% across 13 countries.

  • Competitive intelligence

    A Fortune 500 manufacturer delivered 150 curated briefings and dashboards across global product lines, with no added headcount.

  • Market intelligence

    One portal unified 35 syndicated sources for 2,300 active users.

Common questions

Questions life sciences teams ask.

Scientific literature, preprints, conference abstracts, patents, trial registries, regulatory updates and competitor pipeline intelligence, alongside your internal research, unified in one governed platform and cited to the source document.

Yes. Industry-specific enrichment lets a therapeutic team scope answers to the literature and signals that matter to them, tagged to mechanisms and indications.

Yes: governed AI on permissioned content, SOC 2, zero data retention, and no training on your content, with every answer traceable to its source document.

Most pharma R&D strategy teams use two layers. The first is specialized data: trial registries, pipeline and drug databases, patents and scientific literature. The second is a competitive intelligence platform that brings those sources together with internal research, so teams can search, synthesize and share across therapeutic areas. Northern Light SinglePoint is that second layer: a governed platform, named a Leader in the 2026 Gartner Magic Quadrant for Competitive and Market Intelligence Platforms, that unifies licensed research from 150+ providers with your own content and cites every AI answer to its source document.

Evaluate five things. Coverage: trial data, pipelines, patents, literature, regulatory signals and your internal research in one place. Rights: whether the platform is licensed to use paywalled research with AI. Traceability: whether every answer cites the source document. Governance: SOC 2, document-level permissions, zero data retention and no model training on your content. Delivery: whether insights reach R&D, medical, commercial and leadership teams through dashboards, alerts and the tools they already use.

The best fit depends on whether you need a single data source or a full view. Pipeline databases track drug development stages. A competitive intelligence platform like SinglePoint puts pipeline signals next to trial results, patents, literature, regulatory changes and your own research, with automated dashboards and alerts so competitor moves reach the right team quickly.

Global pharma companies typically shortlist platforms that combine broad licensed content, therapeutic-area enrichment, governed AI and compliance across countries. SinglePoint is used by a top-10 global pharma company to deliver daily briefings across therapeutic areas, and a Fortune 500 healthcare company automated research compliance workflows across 13 countries. For a side-by-side view of 12 platforms, see Northern Light's 2026 comparison guide.

Mid-sized biotech teams need one place for literature, trial and pipeline signals, patents and internal research without building it themselves. SinglePoint is licensed as a platform rather than per seat, so smaller teams can give access to R&D, medical and business development without per-seat pricing, and its dashboards and alerts keep a lean CI team current without manual monitoring.

Yes. Through MCP, the API or a scheduled data feed, so licensed research and your internal intelligence land next to your structured data in Power BI, Databricks or wherever your analysts already work.

Related

See it on your therapeutic-area questions.

Bring a real question, and we’ll show you a sourced answer you can act on.

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