Synthis
    Life Sciences

    AI, Data, and Workflow Transformation for Life Sciences

    Synthis helps life sciences organizations connect fragmented scientific, operational, regulatory, and enterprise information; standardize complex workflows; and deploy governed AI systems that improve productivity, visibility, and decision-making.

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    The Challenge

    Life Sciences Organizations Have More Data—But Not Always More Clarity

    Life sciences organizations operate across highly specialized functions, including research, clinical development, regulatory affairs, medical affairs, quality, manufacturing, commercialization, and corporate operations.

    The information required to support these functions is frequently distributed across documents, scientific publications, databases, research platforms, internal systems, regulatory materials, third-party data sources, and institutional knowledge.

    This fragmentation creates slower research, duplicated work, inconsistent processes, limited organizational visibility, and difficulty converting information into timely decisions.

    Synthis helps organizations create a connected operational and intelligence layer across these environments.

    Fragmented sources
    Internal documentsResearch publicationsClinical-trial informationPatentsRegulatory materialsEnterprise applicationsQuality systemsMarket and competitor data
    Synthis layer
    Governed intelligence and workflow layer
    Teams, workflows, decisions
    • Searchable knowledge
    • Automated workflows
    • Traceable insights
    • Operational dashboards
    • Decision support
    • Executive visibility
    Capabilities

    What Synthis Delivers for Life Sciences

    Eight connected service categories spanning scientific intelligence, enterprise knowledge, operations, governance, and decision-making.

    01

    Scientific and Competitive Intelligence

    Build connected intelligence environments that consolidate and analyze scientific publications, patents, clinical-trial information, conference materials, competitor pipelines, internal research, and market data.

    • Unified scientific knowledge environments
    • Semantic and natural-language search
    • Competitor and pipeline monitoring
    • Evidence synthesis
    • Research brief generation
    • Source-level citations and traceability
    • Automated alerts and intelligence updates
    02

    Enterprise Knowledge Management

    Connect institutional knowledge across departments, systems, repositories, and document libraries so teams can find reliable information and reduce duplicated work.

    • Enterprise RAG systems
    • Knowledge assistants
    • Internal research repositories
    • SOP and policy intelligence
    • Cross-functional knowledge retrieval
    • Secure, role-based information access
    • Institutional knowledge preservation
    03

    Clinical Development Operations

    Improve the operational workflows surrounding clinical development without replacing clinical judgment or making autonomous patient-care decisions.

    • Study and program reporting
    • Site and investigator intelligence
    • Clinical-document review
    • Enrollment and operational risk analysis
    • Vendor-performance monitoring
    • Study-status visibility
    • Meeting, decision, and action tracking
    • Protocol and operational knowledge retrieval
    04

    Regulatory Intelligence and Readiness

    Help regulatory teams organize, retrieve, compare, and trace the information required to support regulatory planning and submission processes.

    • Regulatory correspondence intelligence
    • Submission-document retrieval
    • Commitment and action tracking
    • Guidance monitoring
    • Evidence and claim traceability
    • Document comparison
    • Submission-readiness workflows
    • Human-reviewed drafting support

    Synthis does not provide legal or regulatory advice and does not independently prepare final regulatory submissions without qualified review.

    05

    Medical Affairs Enablement

    Create governed knowledge systems that help medical affairs teams locate, synthesize, and work with approved scientific information.

    • Medical-information knowledge environments
    • Scientific evidence retrieval
    • Publication and congress intelligence
    • Key opinion leader intelligence
    • Internal scientific training support
    • Approved-content retrieval
    • Medical inquiry workflow support

    AI-assisted content remains subject to medical, legal, and regulatory review before any external use.

    06

    Quality and Compliance Operations

    Use AI and workflow automation to improve visibility, consistency, and efficiency across quality-related operations.

    • SOP intelligence
    • Audit-preparation workflows
    • Inspection-readiness support
    • Deviation and CAPA trend analysis
    • Quality-event classification
    • Training and compliance analysis
    • Controlled document retrieval
    • Quality-management reporting

    Systems operating within regulated quality environments may require formal validation and controls based on their intended use.

    07

    Portfolio and Decision Intelligence

    Help leadership teams evaluate programs, portfolios, investments, risks, commercialization priorities, and operational performance using connected enterprise information.

    • Portfolio intelligence
    • Program and asset evaluation
    • Scenario analysis
    • Commercial forecasting
    • Investment decision support
    • Risk and dependency visibility
    • Executive dashboards
    • Cross-functional decision environments
    08

    Intelligent Workflow Automation

    Standardize and automate repetitive, document-intensive, and cross-functional processes across scientific and commercial operations.

    • AI-assisted document processing
    • Workflow orchestration
    • Review and approval routing
    • Agent-based task automation
    • Data extraction and classification
    • Enterprise system integration
    • Exception management
    • Human-in-the-loop automation
    How Synthis Works

    From Fragmented Processes to Governed AI Operations

    Stage 01

    Discover

    Identify high-value workflows, data sources, operational bottlenecks, business objectives, and regulatory considerations.

    Stage 02

    Standardize

    Document and improve the underlying process before introducing automation or AI.

    Stage 03

    Connect

    Integrate relevant documents, data, systems, applications, and third-party information sources.

    Stage 04

    Build

    Develop the appropriate AI assistants, agents, knowledge systems, workflow automations, integrations, and decision-intelligence capabilities.

    Stage 05

    Govern

    Implement access controls, source traceability, human review, auditability, testing, security, and risk controls appropriate to the system's intended use.

    Stage 06

    Optimize

    Measure adoption, performance, operational impact, accuracy, efficiency, and business value, then continuously improve the system.

    Governance and Responsible AI

    AI Designed for a High-Accountability Industry

    Life sciences organizations require more than a generic AI implementation. Systems must be designed around the sensitivity of the data, the intended use of the system, the importance of human oversight, and the potential impact of the output.

    Synthis develops solutions with governance and control mechanisms proportionate to each use case.

    Human review and approval controls
    Role-based access
    Source citations and traceability
    Audit logging
    Data classification
    Model and prompt versioning
    Security and confidentiality controls
    Defined data-retention practices
    AI risk assessment
    System testing and monitoring
    Change-management procedures
    Separation of regulated and nonregulated use cases

    The governance, testing, validation, and documentation requirements for each implementation are determined by the system's intended use, data, users, and potential impact.

    Synthis designs systems to support applicable customer requirements and works alongside your legal, security, regulatory, clinical, and quality stakeholders. We do not represent implementations as automatically FDA-compliant, GxP-compliant, HIPAA-compliant, or validated.

    Initial Use Cases

    High-Value Places to Start

    Scientific Intelligence Hub

    Connect publications, patents, trial information, competitive intelligence, internal research, and conference materials in one searchable environment.

    Business outcome
    Reduce research time and surface evidence faster

    Enterprise Life Sciences Knowledge Assistant

    Give authorized teams secure access to institutional knowledge across documents, systems, policies, and operational data.

    Business outcome
    Improve information access and reduce duplicated work

    Regulatory Intelligence Workspace

    Organize submissions, correspondence, guidance, commitments, evidence, and regulatory actions with traceable source retrieval.

    Business outcome
    Strengthen decision traceability and submission readiness

    Clinical Operations Intelligence

    Improve visibility across studies, sites, vendors, documents, milestones, risks, and operational decisions.

    Business outcome
    Increase operational visibility and identify risks earlier

    Medical Affairs Knowledge Environment

    Help teams retrieve and synthesize approved scientific information with appropriate review and governance.

    Business outcome
    Accelerate document review under qualified oversight

    Portfolio Decision Platform

    Connect scientific, commercial, financial, operational, and market information to support portfolio and investment decisions.

    Business outcome
    Improve cross-functional coordination and decision quality
    Business Value

    Designed to Deliver Measurable Business Value

    Reduce the time spent searching for and reconciling information
    Automate repetitive and document-intensive workflows
    Improve the consistency and traceability of decisions
    Preserve institutional and scientific knowledge
    Increase visibility across programs and departments
    Identify risks, gaps, and dependencies earlier
    Improve collaboration among scientific, operational, regulatory, and commercial teams
    Create scalable AI capabilities rather than isolated experiments
    Accelerate work without removing qualified human oversight
    Who We Support

    Across the Life Sciences Ecosystem

    Therapeutics and Biotechnology

    • Pharmaceutical companies
    • Biotechnology companies
    • Specialty pharmaceutical companies
    • Emerging and growth-stage biotech organizations

    Research and Clinical Development

    • Contract research organizations
    • Clinical research organizations
    • Research institutions
    • Laboratory and testing organizations

    Manufacturing and Supply

    • Contract development and manufacturing organizations
    • Pharmaceutical manufacturing organizations
    • Life sciences supply-chain and operational service providers

    Devices, Diagnostics, and Technology

    • Medical device companies
    • Diagnostics companies
    • Digital health companies
    • Healthcare and life sciences technology providers

    Specialized Services

    • Medical affairs organizations
    • Regulatory and scientific consulting firms
    • Life sciences data providers
    • Investment, advisory, and research organizations focused on life sciences
    Engagement Model

    Start With One High-Value Workflow

    Synthis helps organizations identify a focused use case where AI, data integration, or workflow transformation can create measurable value.

    We begin by understanding the current process, data environment, business requirements, users, risks, and desired outcomes. We then design and implement a governed solution that can be tested, measured, and expanded across adjacent workflows.

    1. Step 01
      Opportunity assessment
    2. Step 02
      Workflow and data discovery
    3. Step 03
      Pilot definition
    4. Step 04
      Solution implementation
    5. Step 05
      Governance and testing
    6. Step 06
      Measurement and expansion

    Turn Life Sciences Complexity Into Operational Intelligence

    Identify where connected data, governed AI, and intelligent workflow automation can create meaningful value across your organization.

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