with BioCreative Strategies
For Navidence
Your AI commercial operating system, custom-built for CODefsDraft · to sign
You make validated study definitions for RWE teams. This page shows the system we'd stand up with you, quickly: your market and your top accounts in one place, the signals that say when each one needs you, and the marketing and sales work that follows.
How we'd help
Cover your whole market
Every sponsor, CRO and data platform with an RWE, HEOR or epidemiology team, in one database, with the people inside each.
Know when an account moves
Signals on your top accounts, a JCA filing, a post-marketing requirement, a new study or a new leader, in a brief your team reads each week.
Own all of it
Your server, your database, your code and your knowledge base, set up in your name from the first day. Your team builds along.
What's next
This page is a working draft. We're still working out how best to lay all of this out for you, so some tabs read fuller than others, and we'll walk through it together on our next call. Your CellScale log-in comes by email: a demo company that shows the whole system running.
The Foundation
Everything else is built on this
Every engagement starts with the Foundation: your context and your data first, then the skills, tools, agents and screens that put them to work. Pick a layer to see what it holds for Navidence.
The BioCreative method, set up first
Context: what the system knows about Navidence
- Your products: CODefs, Navigate: Code Lists, the Navidence Platform and RWE Sherpa.
- Your words: computable operational definitions · validated · reusable · traced to the literature · fit-for-purpose · code lists across ICD-10, SNOMED, NDC, CPT and LOINC.
- Who buys: heads of RWE and HEOR, epidemiologists, CRO RWE leads and data platform product leads.
- Your partners: Datavant, Komodo, Panalgo, RTI and others, so the system knows which accounts a partner already carries.
From navidence.com and our research, read 2026-10-30.
Data: two kinds, landed in one database
Unstructured
News, sites and documents, read through feeds and keywords we set for your market.
Structured
The public sources, read by API, and your own records.
Your records: HubSpot, brought in by API, with each partner's accounts marked.
Skills and tools, out of the box
Work written out step by step, and the software it calls: find an account, verify a person, read a study registration, score an account, write a brief, draft a note. They come from a library we've built and tested many times, and we add yours as we go.
Agents and the screens your team uses
Agents run those skills inside limits a person sets: one keeps every account and person current, one watches your top accounts for signals, one writes the weekly brief. Your app shows the accounts, the signals and every touch, and nothing goes out without a person.
The operating system
All of it run as one, toward your goals, on your server and in your name. Each new language model makes it stronger without a rebuild.
A strong starting point
Your market, segmented and already started
Three segments in our database today, with the people in RWE, HEOR and epidemiology at each, and the next ones our automation builds. The build grows every one.
Segment 1
Drug developers
Heads of RWE and HEOR, epidemiologists and outcomes researchers. The deepest teams: AbbVie, Bristol Myers Squibb, Boehringer Ingelheim, Gilead.
Segment 2
CROs, data platforms and consultancies
RWE and HEOR leads who deliver studies for sponsors, and the platforms they run on.
Segment 3
Academic centers
Pharmacoepidemiology and outcomes research groups.
Next
EU HTA consultancies and funded biotechs
Found next by our web automation, with each partner's accounts marked so the list matches how you sell.
Segments and people from our database, read 2026-11-08.
Your starting database, and how it grows
A strong start, then it keeps building. Every source feeds one database, enriched and updated as it runs.
Studies, requirements, filings and papers
ClinicalTrials.gov, the FDA's post-marketing requirements, the EU JCA list, the HMA-EMA catalogue, PubMed and SEC filings, read by account.
The people at each account
Clay, Sales Navigator, FullEnrich and Firecrawl find the right people, verify their emails and read their sites.
What you already have
HubSpot, by API, with your partners' accounts marked.
Your database
- One record per account and person
- Structured and unstructured, linked
- Enriched, scored and updated as it runs
Your app
- Top accounts and their signals each morning
- Every account and its history
- Briefs and notes drafted for a person to approve
Counts from our database: organizations and people read 2026-11-08; seniority read 2026-10-28.
Top accounts
Your top accounts, covered and watched
Not cold outreach. You already know your market, so the system watches the accounts that matter most, tells your team when one of them moves, and drafts the note from the person who knows them. A person approves each one.
Who we'd reach first
Sponsors
Head of RWE or HEOR
Owns how studies are defined across a portfolio. Moment: a JCA filing, or a new approval with a post-marketing requirement.
Sponsors
Epidemiologist
Designs the observational study. Moment: a required safety study, or a new registration.
CROs and platforms
RWE lead
Delivers studies for sponsors on a fixed bid. Moment: a new observational study won.
Roles and kinds of institution only on this page; the named people stay in your app.
Your top accounts
Where your buyers sit, account by account
A starting list from our database: the sponsors with the deepest RWE, HEOR and epidemiology teams we hold today. We'd set the real list with you, including which accounts a partner already carries.
| Account | People we hold | Their roles | What we'd watch |
|---|---|---|---|
| AbbVie | 46 | HEOR, RWE, epidemiology | Post-marketing requirements, JCA filings, new studies |
| Bristol Myers Squibb | 45 | HEOR, RWE, epidemiology | JCA filings, new observational studies |
| Boehringer Ingelheim | 39 | HEOR, epidemiology | Post-marketing requirements, new leaders |
| Gilead | 38 | HEOR, RWE | JCA filings, new observational studies |
| AstraZeneca | 28 | RWE, epidemiology | JCA filings, post-marketing requirements |
| Astellas | 28 | HEOR, RWE | New studies, new leaders |
| Novartis | 25 | HEOR, epidemiology | JCA filings, new studies |
| GSK | 22 | RWE, epidemiology | Post-marketing requirements, new leaders |
People counts from our database, read 2026-11-08. A starting point, not your list yet.
The four signals we'd build first
Each one says an account is about to define a study, while the definitions are still open.
EU HTA · the JCA list
A joint clinical assessment opens
When a product enters the EU's joint clinical assessment, the sponsor's evidence team has a fixed window to define its populations and outcomes.
When: the day the filing is listed; oncology and advanced therapies today, orphan drugs from 2028
FDA · post-marketing requirements
A required safety study
A new approval with a post-marketing requirement means an observational study someone has to design, usually within months.
When: within two weeks of the approval
ClinicalTrials.gov and EU PAS
An observational study registered
A new observational or tokenization study names the sponsor and the population before the definitions are settled.
When: within 48 hours of registration
A new head of RWE or HEOR
A new leader reviews how the team defines its studies in the first months.
When: the first 30 to 60 days
From a signal to your team
How every message gets written
The SSO matrix: one pain, one value, per person
When it's time to write, we don't ask an LLM to be creative. The matrix pulls what we know about this person, this account and this signal, picks one pain and one value from your words, and hands the LLM a precise brief.
| Who | Pain | Value | The line, in your words |
|---|---|---|---|
| Head of RWE or HEOR Sponsors | The same outcome defined differently by each study team, and a JCA window that leaves no time to settle it | Validated, reusable definitions, traced to the literature, shared across studies | "One definition of the outcome, used in every study that needs it." |
| Epidemiologist Sponsors | A required study on a clock, with the phenotype algorithms still to build and validate | CODefs and code lists ready to use, with their literature | "The protocol clock starts at approval." |
| RWE lead CROs and platforms | A fixed bid where the definition work eats the margin | Definitions and code lists to start from, so the hours go to the analysis | "Fixed bids leave no room to rebuild definitions." |
When an account moves, the note is readyDraft · to sign
Three of the people you already know at your top accounts, each with the signal that fired and the note it drafted. Every note takes one pain and one value from the matrix. The names are made up to show how a note lands; the real people sit in your app.
Dr. Lena Ortiz · Head of RWE, a top-20 sponsor · The signal: an oncology product listed for a joint clinical assessment
When a signal fires
Hi Lena,
A joint clinical assessment leaves the evidence team a short window to settle its populations, comparators and outcomes, and each one needs a definition someone can defend.
Our CODefs are validated, reusable definitions of patients, exposures and outcomes, each traced to the literature, with the code lists behind them. Your team can start the dossier from definitions that already hold up, instead of writing them under the clock.
The literature comes with each definition, so the reasoning is already on the page when the assessors ask.
Would a short call on the definitions this filing will need be useful?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Hi Lena,
Across a portfolio, the same outcome often gets defined differently by each study team, and the differences surface when the results are compared.
With CODefs, a definition is written and validated once, then reused by every study that needs it, with its code lists alongside.
Open to a short call on where that would help your team most?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Dr. Priya Raman · Director, Epidemiology, a mid-size sponsor · The signal: a new approval with a post-marketing requirement
When a signal fires
Hi Priya,
A post-marketing requirement starts a clock: the protocol is usually due within months, and the phenotype algorithms are often the slowest part to build and validate.
Our CODefs give you validated definitions of the population, exposures and outcomes, traced to the literature, with code lists across ICD-10, SNOMED, NDC, CPT and LOINC.
Your team keeps the judgment calls, and the groundwork is already done.
Would it help to look at the definitions this study needs on a short call?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Hi Priya,
Code lists drift as codes are added and retired, and an outdated list can quietly change who lands in a cohort.
Navigate: Code Lists gives your team more than 3,000 lists to start from, alongside the CODefs that use them.
Worth a short call on the lists your next study will use?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Jordan Mills · Director, Real-World Evidence, a mid-size CRO · The signal: a sponsor client registered a new observational study
When a signal fires
Hi Jordan,
On a fixed-bid observational study, the time spent building and validating definitions comes straight out of the margin.
CODefs give your team validated definitions and code lists to start from, traced to the literature, so the hours go to the analysis the sponsor is paying for.
The definitions carry over from study to study, so the next bid is faster to price too.
Would a short call on the studies you're bidding now be useful?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Hi Jordan,
Most observational work now runs on a handful of data platforms, and the definitions have to work on whichever one the sponsor picked.
Navidence partners with Datavant, Komodo and Panalgo, among others. If your team already runs studies on one of them, starting from CODefs is a short step.
Open to a short call on how that would work for your team?
Best,
Matt
Matt Veatch · President and COO, Navidence · navidence.com
Written to our messaging standard (one pain, one value per note; claims only from your site and your announcements). The names are invented, and every note is a draft for your review.
Marketing
Marketing built around your top accounts
Your brand, your definitions and your market are in the system, so your team can make the content that keeps every top account close: the weekly market read, your show, conference work and pages for the accounts that matter most.
Your brand bible, already in the system
The look
Helvetica for every word, your logo, and the clean, clinical look of navidence.com.
What we may say
Your published words, each with its source: CODefs, validated and literature-traced definitions, code lists across ICD-10, SNOMED, NDC, CPT and LOINC, Navigate: Code Lists with more than 3,000 lists, and the partners you've announced.
Never said: prices, customer names you haven't published, a partner's name in a piece without their sign-off.
From navidence.com and your announcements, read 2026-10-29 and 2026-10-30
The channels we'd turn on
A weekly market read
The signals on your accounts and your market, in your brand, every week: for your team first, then as a newsletter for the people you already know.
Real-World Wednesday, clipped
Each episode cut into short clips and posts, tied to the accounts and topics it speaks to.
ISPOR and ISPE
Before each meeting, who from your top accounts is presenting and who you'll meet; after, the follow-ups drafted.
Pages for your top accounts
A page for each account that matters, made from its account plan, the way this one was made for you.
Company posting
Posts in your voice from your definitions and the market read, approved by your team.
Partner content
Webinars and co-written pieces with your data partners, planned against the accounts they carry.
Sales
A sales system that plans every deal
Every account, opportunity and meeting planned on Miller Heiman's method, in one system your team works from each day. The pipeline, the plans, the content for each meeting, and every email and call tied to the deal it belongs to, partners' deals included.
Miller Heiman's method
Three plans, one deal
Every deal runs on three plans that build on each other: the account, the opportunity, and each meeting in it. The system keeps all three current, so your team walks into every call knowing where the deal stands.
The account plan
Everything about one account
- What the sponsor, CRO or platform does, and which studies it runs
- The people, by role, and how they're connected
- What's moving at the account: JCA filings, required studies, new registrations, new leaders
- Updated as new signals land
The opportunity plan
Where one deal stands
- The single objective: what we're selling, to whom, by when
- Every buying influence and how each one sees the deal
- Red flags and strengths, written down
- The next actions that move it, with an owner each
The meeting plan
What each call is for
- The goal of this call and what we need to learn
- What we'll show, and the questions we'll ask
- The commitment we'll ask for at the end
- A debrief after, so the deal plan stays current
Everyone who decides, on every deal
An evidence team rarely buys on one person's word. The opportunity plan names each buying influence, so your team knows who still needs to hear from you.
Economic
Approves the spend
A head of RWE or HEOR with the budget for a portfolio's studies.
User
Works with it every day
The epidemiologist or analyst who designs the study and uses the definitions.
Technical
Judges the fit
Checks the definitions against the data source, the protocol and the regulator.
Coach
Guides you inside
Someone who wants it to work and tells you how the decision gets made, sometimes at a partner.
The system we'd build
Every deal tracked, every meeting prepared
Your pipeline lives in your app, and the system does the work around each deal: it prepares each meeting, takes in what was said, and keeps the plans current.
Your pipeline, in one place
Each opportunity with its stage, value and next step, and the three plans one click away. Sponsors, CROs and platforms in one view, with partner deals marked.
Collateral for every meeting
A page made for that account, a short deck and a short video, drafted from the account plan before each call. A person reviews each one.
Emails and transcripts, tied to the deal
Every email thread and call transcript lands on the deal it belongs to, searchable, so nothing said on a call gets lost.
A debrief and a follow-up after every call
What was said, what changed, and what we promised, drafted into the plans, with the follow-up email ready for a person to send.
The BioCreative Academy
We build along with you
Everyone is at a different point, and the gap is widening. We meet each person where they are and close it with them, so your team owns what we build.
The fluency gap
Every model release widens the gap
Few people build with AI as a processor, and fewer still work with it as a system.
Rough shares of the world's population, from Andrej Karpathy's own estimate, October 2026.
Meeting you where you are
From chat to a full operating system
We meet each person on your team where they are and build with them to the top.
Two GitHub repositories to start with
Free for your whole team. Each one is a working project Claude walks you through one lesson at a time, and every lesson ends with a check you have to pass to move on.
Level 1 · ten lessons · chat or code
The Academy Starter
Build your own AI working system, the way BioCreative builds ours. You finish with a system that's yours: your files, your database, your design, your skills and an agent that improves your work.
- Contexta CLAUDE.md, a context module and a wiki Claude keeps for you
- Datayour own Supabase database, built from migrations and locked down
- Designyour voice and look as a design system, and a pitch-deck template
- Skills and toolsa skill of your own, and the tools it reaches in one register
- Agents and loopsa loop that improves your deck, checked and recorded
Level 2 · six lessons · Claude Code
The LifeSci Lens Starter
Your context, applied to real life-sciences data you own. It installs into your Level 1 project and brings public data into your own database, with your rules applied to every record.
- Your first sourceClinicalTrials.gov into your own table, with a run record
- Your sourcespublications, NIH grants, filings, FDA actions and news, polling your terms
- An interfaceone signed-in page on your data, in your design
- Your rulesclassify, extract, link or score every record, applied by an agent loop
In every engagement, we keep building with you, layer by layer.