Same questions. A higher horizon.

EVIDENTIA FORGE

A new paradigm in
commercial pharma intelligence

Every Monday, someone in commercial asks a simple question. Where are my patients?

And every Monday, the answer arrives a little late and a little wrong.

This isn’t a dashboard.
It’s the room you’ve always wanted to walk into.

Mission

Your data has been trying to tell you something.

Somewhere in your hub feeds, your specialty pharmacy files and your CRM is the story of every patient who started, stalled or slipped away. We help emerging and scaling biotech and specialty-pharma companies hear it. We diagnose the environment, design what comes next, and build only what you actually need.

Today the answer to a simple question travels through six vendors, four systems and three spreadsheets. Imagine a room where the data already knows each other. Where two decades of judgment sit beside a machine that never forgets. Where you ask, and the answer comes back with its evidence.

Who we serve

  • Pre-commercial

    Biotech six to twenty-four months from launch

    Launch day only happens once. Build the foundation now, so the first patient, the first claim and the first forecast already speak the same language.

  • Newly launched

    Specialty and rare-disease brands

    In rare disease, every patient is a name, not a row. Steady your hub, specialty pharmacy, field and access data while the brand is still finding its voice.

  • Modernizing

    Mid-sized pharma with an established estate

    You’ve built something worth keeping. We modernize Veeva, Salesforce, Snowflake, Databricks, MDM or analytics around it, not over it.

What we bring

  • A lifetime of institutional knowledge

    Every launch leaves scars. We kept the lessons.

    The questions seasoned operators know to ask, the dependencies they check first, the patterns they’ve seen before. We build that memory into the work itself, so it doesn’t walk out the door when a consultant rolls off.

  • The fundamentals, mastered

    We know what commercial teams actually need. And what they quietly ignore.

    Sales and claims, specialty pharmacy and hub, CRM and alignments, customer and payer master data. Years spent learning which numbers move decisions and which only fill slides.

  • Every stage of a brand’s life

    Pre-launch, launch, growth, maturity, loss of exclusivity.

    Each stage asks a different question of the data, and we’ve sat at the table for each one, across multiple therapeutic areas. We know what’s coming next because we’ve already lived it.

  • Intelligence, end to end

    Not a predictive model bolted to the side.

    Agentic and machine-learning work that runs the whole way through: ingestion and quality checks, segmentation and targeting, next best action and pre-call planning, all the way to the moment a rep decides what to do next.

Who you’ll work with

Saurabh Shende

Founder, Evidentia Forge · Boston

LinkedIn profile ↗

Twenty-one years in commercial pharmaceutical data and business intelligence, across master data, CRM, specialty pharmacy, syndicated data, alignments and governance. Two computer science degrees, and a career spent between the people who ask the questions and the systems that answer them.

  • AlkermesDirector, Commercial Master Data Management
  • BiogenCommercial data and business intelligence
  • AlexionCommercial data consulting
  • MonsantoBusiness intelligence and data warehousing

Evidentia Forge brings in senior commercial-pharma data operators, several with twenty-five years or more in biotech, so the person who designs your solution has done the work before.

How we work

Two decades in the rooms where launches are won and lost taught us one thing above all: judgment is the scarce resource.

So AI carries the repetition, and experience gets spent where it always should have been. On the judgment calls.

  • Senior judgment. No row of interchangeable résumés.
  • Platform-neutral. The answer comes from the problem, not a partnership.
  • Through implementation. A recommendation has to survive contact with reality.
  • Keep what works. Fix what doesn’t. Add only what earns its place.

Capabilities

One architecture. Start anywhere.

Take the whole journey, from raw source to the decision on someone’s desk. Or step in at exactly the place where something is missing. Everything we build is useful on its own and works with what you already own.

  • Full-stack intelligence platform

    For a launch build, a greenfield estate, or a fragmented one that needs a coherent backbone.

    Source landing and integration through a governed data core, semantic and KPI layer, analytics, AI and decision support.

  • Platform augmentation

    For teams that already own a warehouse, lakehouse, MDM, CRM or integration layer.

    We work inside your estate and add the missing semantic, analytics, governance or AI capability.

  • Single capability

    For one business unit or one problem that needs a bounded answer.

    Patient-services intelligence, MDM governance, data quality, AI-guided discovery or a vendor program rescue, on its own.

The capability model

Foundation

  • Source ingestion and landing
  • Harmonization and ODS
  • MDM and identity integration
  • Commercial data core
  • History and conformed dimensions
  • Data quality and reconciliation

Intelligence

  • Governed semantic and KPI layer
  • Reference commercial models
  • Patient journey and access logic
  • AI-guided discovery
  • Decision support
  • Institutional knowledge

Experience

  • Dashboards and analytics
  • Executive views
  • Field and commercial workflows
  • Interactive demonstrations
  • Client-facing applications
  • AI-assisted experiences

On master data: we integrate with the platform you already run, such as Veeva Network, Reltio or Informatica, and help pre-commercial teams select one. We don’t sell a proprietary MDM product.

How a client solution is assembled

  1. CORE

    Reusable where it repeats.

    Canonical commercial entities, ingestion and quality patterns, semantic definitions, reference analytics, governance and AI-assisted workflows.

  2. CONFIGURE

    Configured where you differ.

    Therapeutic area, product and indication, rare or broad market, distribution and specialty-pharmacy network, CRM, payer and field rules.

  3. EXTEND

    Custom only where you’re unique.

    Brand and promotional sources, speaker programs, agency feeds, legacy platforms and genuinely new workflows.

The Forge · The Holodeck

Welcome to the Holodeck.

Step inside. Everything here is safe to touch: a synthetic commercial universe of fictional doctors, plans and patients, built so you can walk around an idea before you commit to it. Ask it a question. Push back. Change the scene. That’s what it’s for.

Working prototypes, not slideware.

Program loaded · Key account intelligence

Health System Growth

Integrated delivery networks now decide what gets prescribed across dozens of sites at once, so the key account manager’s first question is no longer “which doctor?” but “which system?”. See which health systems are growing, which are slipping and where share is moving, then open any system down to its accounts.

Live in your browser · Synthetic data · Model outputs simulated

View
Show
Measure

Loading the synthetic universe…

Growth by health system or account, current versus previous period. Select a row for detail.

All health systems, accounts, products and figures are fictional. Data: Synthetic generator. Model: Simulated trend model. Both run in your browser and nothing leaves the page. In a client build, these two connections point at your semantic layer and your model service, and every view and definition above stays the same.

Program loaded · Data quality and governance

Autonomous Data Quality

Every launch has a weekly data-quality review: which files arrived, which records failed, why volume moved, what got restated, whether the monthly files tie out and how many patients matched. An aggregation vendor’s team used to build that deck by hand. Here an agent runs the same checks as each file lands, fixes what governance policy allows, and puts only the judgment calls in front of a data steward. Every action leaves an audit entry.

Live in your browser · Synthetic data · Agent actions simulated

Loading this week’s checks…

All pharmacies, hubs, patients, products and figures are fictional. The checks, policies and agent actions are simulated in your browser and nothing leaves the page. In a client build the same checks run on your feeds as they land, and every decision is written to lineage.

Program loaded · Field intelligence

Next Best Insight

Watch a number become a conversation. The system notices a change, the rep asks why and adds what only the field knows, and the picture sharpens while the source data stays exactly as it was.

Scripted preview · Synthetic data · Not a live AI service

Dr. A. Patel Territory NE-04 · fictional

−35% new-patient starts, weeks 7–12 vs weeks 1–6

New-patient starts per week
Prior-authorization denial rate Not yet requested
Calls logged
Steady, 6 of 6 weeks
Peer change
−9% (8 peers)

    Governed fact Field context AI inference

    All names, plans and figures are fictional. This preview runs a fixed script in your browser. No data leaves the page and no model is called.

    More programs on the Holodeck

    One synthetic universe, seen through many windows. Each shares the same governed data, definitions and lineage. These programs are still being built; none is a product you can buy today.

    • Commercial Command Center

      Executive performance and exception intelligence on governed KPIs.

    • Patient Journey Intelligence

      Referral, access, dispense, persistence and patient-services signals.

    • HCP and Account 360

      Customer intelligence built on mastered data from your MDM ecosystem.

    • Market Access Intelligence

      Payer, plan, prior authorization, denial and restriction trends.

    • Lineage and Provenance

      Trace a KPI or an AI answer back to definitions, transformations and source.

    • Ask Evidentia

      Governed natural-language questions across the same semantic layer.

    • AI Architecture Discovery

      A guided assessment that maps your context to a reference architecture.

    Contact

    Start with one question.

    The best engagements begin small. A launch date. A stack that grew by accident. The question your dashboards keep stepping around. Write to us, and someone who has sat in your chair will write back.

    Ways to start

    • Commercial Data Diagnostic

      Current-state assessment, prioritized findings and a 90-day action plan.

    • Launch Data Blueprint

      Sources, MDM, CRM, patient services, warehouse, reporting and sequencing for launch.

    • Patient Services Data Architecture

      Hub, specialty pharmacy, copay and CRM integration with a reconciliation framework.

    • MDM and Customer 360 Advisory

      HCP, HCO and payer mastering, affiliations, stewardship and governance.

    • Fractional Commercial Data Leader

      Senior operating leadership before a permanent role is justified.

    • Vendor and Program Rescue

      An independent re-baseline of scope, architecture, accountability and milestones.

    • AI Readiness and Intelligence Design

      Data readiness, governed use-case priorities and practical AI architecture.