Viseven: How Pharma Giants Are Winning HCP Mindshare with Next-Gen Omnichannel

What is Viseven?

Viseven is a specialised MarTech services and AI content platform provider for the life sciences and pharma industries. Its flagship eWizard platform empowers teams to build modular, compliant, and omnichannel content workflows—automating content creation, localisation, tagging, and regulatory review processes.

AI agents like eVa assist with real‑time, brand‑safe copy generation and regulatory alignment, speeding up MLR approval by approximately 45% and reducing content production costs by approximately 50%. As a trusted partner to enterprise pharma and biotechs, Viseven enables omnichannel storytelling via email, portals, video avatars, and mobile apps while ensuring consistent messaging across global and local markets.

Their services support scalable digital transformation across marketing, medical affairs, and sales enablement.

Why Leading Healthcare Teams Trust Viseven

  • Recognized Excellence in Pharma Marketing
    Viseven was named Best Pharma & Life Sciences Marketing Agency 2025 by Corporate Vision Magazine, underscoring its leadership in the industry.

  • Award-Winning Innovation
    The company’s content experience platform, eWizard, won Gold at the 2025 Globee® Awards for Most Innovative Product of the Year, highlighting its cutting-edge solutions.

  • Global Presence with Extensive Expertise
    With over 700 professionals and more than 15 years of experience, Viseven has partnered with over 150 pharma and life sciences clients and collaborated with more than 250 agencies worldwide.

  • Strategic Partnerships with Industry Leaders
    Viseven has established partnerships with leading technology companies, including SpotMe, Aprimo, and Creatio, to offer seamless integrations and create digital ecosystems for streamlined workflows and accelerated collaboration.

  • Innovative AI-Driven Solutions
    The introduction of eVa, an AI agent for the eWizard platform, revolutionizes how marketing and medical teams create, adapt, and validate content by automating complex workflows and significantly accelerating the Medical-Legal-Review (MLR) process.

  • Active Participation in Industry Events
    Viseven actively participates in major industry events such as Digital Pharma East, Reuters Pharma EU, and Pharma IT & Digital Health Expo, showcasing its commitment to staying at the forefront of digital transformation in the pharmaceutical sector.

  • Commitment to Digital Transformation
    Celebrating its 15th anniversary in 2024, Viseven continues to evolve and innovate, reflecting its dedication to transforming the pharmaceutical marketing landscape.

Features

Competitive Comparisons: Positioning: Viseven = content-first, AI-enabled omnichannel factory for pharma. Primary competitor classes: CRM/orchestration vendors (Veeva, Salesforce ecosystem), commercial-data platforms (IQVIA), and full-service life-science agencies/tech vendors. Differentiators: deep content-authoring + modular content reuse, AI auto-tagging and agents (e.g., eVa), turnkey omnichannel packaging (localization + DAM + distribution). Where it’s weaker vs. some peers: not primarily a CRM vendor (so often complements Veeva/Salesforce rather than replaces them); scale and data breadth differ from big-data incumbents.
Unique AI Model Capabilities: eVa (AI agent for content platform) — conversational/assistant agent that links marketing + medical workflows to help generate, map and manage content assets. AI-powered auto-tagging — automated metadata extraction to accelerate asset discoverability and reuse (case metrics show major manual-tagging reductions). AI-assisted content factory / authoring — generative templates, MLR-approved content assembly, and personalization-ready modules for omnichannel reuse. Analytics & personalization — audience segmentation, content performance analytics, and dynamic content selection for multi-market campaigns.
Deployment Time and Ease of Use: Typical rollout model: modular (content factory + DAM + omnichannel) with templates and prebuilt integrations — supports faster pilots. Reported speed: example implementations and case studies indicate measurable results within weeks → meaningful adoption in 1–3 months depending on scope and localization. Integrations & compliance: proven integrations with major stacks (Salesforce ecosystem, DAMs, marketing systems) and multi-country compliance workflows; documented system-to-system integration experience across global deployments.
Website: https://viseven.com
Therapeutic Area: Cross-therapeutic usage (oncology, rare disease, specialty pharma, etc.) for content deployment across channels
Scalability: Empowering 700+ life sciences professionals globally; supports large pharma and SMEs across markets
Deployment Model: Cloud‑based SaaS; options include fully cloud, on‑premise, or hybrid deployment
Integration and Compatibility: API-enabled integration with DAMs, marketing automation, CRM, localisation pipelines
Key Use Cases/ Target Users: eDetailing, modular content reuse, localisation, KOL content, MLR workflows for pharma marketers, medical affairs teams, agencies
Pricing Model: Enterprise‑level SaaS + service bundles; custom quotes via demo request
Supported Data Types: AI-tagged modular content, text, images, video avatars, localization metadata
Operational & Financial Impact: Content production efficiency — reported: up to 50% reduction in operational costs for content production (AI-assisted). Speed to market — reported: ~45% faster time-to-market for content/campaign launches. Compliance & MLR — reported: ~30% acceleration in MLR/approval throughput via tagging & reuse. Case ROI — AI auto-tagging case example: ~340% ROI and ~60% reduction in manual tagging effort. (These are platform-reported outcomes from multiple client case studies.)
  • Watch Overview

Top 3 Pain Points Viseven Fixes in Healthcare

ProblemHow Viseven Solves It
1. Slow, manual content creation and MLR approvalAI agent (eVa) auto-generates compliant content, streamlines workflows, and speeds approval cycles by 45%
2. Fragmented and inconsistent messaging across marketsModular asset reuse and localization across channels via eWizard platform ensure consistent quality and branding globally
3. High content production cost and low reusabilityAI auto-tagging, structured metadata, and modularization reduce cost by up to 50% and boost reusability by 30%+

 

Feature Category Summary: Viseven

Feature CategorySummary
Regulatory-ReadyNo focus on regulatory compliance or validation for clinical or trial software.
Clinical Trial SupportNot designed to support clinical trial design, recruitment, or monitoring.
Supply Chain & QualityNo supply chain management or quality assurance features.
Efficiency & Cost-SavingAutomates pharma digital marketing workflows, reducing costs and streamlining processes.
Scalable / Enterprise-GradeProven SaaS solution used by leading global pharma enterprises.
HIPAA CompliantNo explicit HIPAA compliance focus, not managing protected health data.
Clinically ValidatedNot clinically validated for medical use; marketing-focused tool.
EHR IntegrationDoes not integrate with EHR or clinical systems.
Explainable AIAI is used for marketing automation; transparency in clinical decision AI is not applicable.
Real-Time AnalyticsProvides real-time analytics and reporting related to content and marketing performance.

Risks & Limitations: Viseven

  • Effectiveness depends on the quality and completeness of input content and metadata; poor assets or inconsistent tagging reduce AI relevance and recommendation accuracy.

  • Outputs are decision-support only; marketing/medical communications teams must review and approve AI-generated content before distribution.

  • Integration with CRM, MLR (medical-legal-review) workflows, content management systems or vendor-specific platforms may require IT effort and custom connectors.

  • Regulatory and compliance review may be needed when AI-assisted content informs promotional materials, patient communications, or clinical trial outreach; maintain audit trails and MLR signoffs.

  • Localisation and medical accuracy risks: automated translations/simplifications can introduce clinical nuance errors—local medical review is required for regional markets.

  • Model drift and content-relevance decay can occur as product labels, guidelines or therapeutic context change—plan for periodic retraining and content refresh.

  • Privacy & data governance: processing patient-level or PHI-adjacent content requires robust controls, consent workflows, and data residency considerations.

  • Overreliance on templates or automation can reduce creative quality or contextual appropriateness; human editorial oversight remains essential.

Share This AI Tool

Contact Us To Request Pricing or a Demo