Life Sciences & Pharma · Pharma Solutions Suite

Custom AI add-ons for Veeva and Salesforce.

GenerativeX builds custom AI add-ons for pharma teams on the Veeva and Salesforce systems they already run, with seven solutions from R&D to the field. Our pharma practice is led by the former President of CSL Behring Japan, and every solution runs in your tenant.

Built on

Talk to our team ->See the seven solutions ↓

Live, not pilots

80–90%

of hospital formulary drafts right on the first pass, in daily use by the field

Up to 70%

less time to evaluate drug candidates

Every solution runs in your tenant. Client data is never used to train foundation models or to improve any shared system.

The Pharma Solutions Suite · Where To Start

Seven solutions, one set of guardrails.

Start from the decision your team wants to improve. Each solution stands alone, and they all share the same guardrails. Non-promotional (R&D, manufacturing, medical) and promotional functions never share data.

R&D · Discovery & Development

Advance the right candidates, sooner

What we hear: “Evaluating each candidate takes weeks”

Better decision: Which candidates to advance

What it can do

Score up to 200 candidates in one run, side by side
Search literature and assay data together, every source linked
Draft product targets and analysis plans from your criteria
Run real-world data analysis, every step traceable

Who decides: The project team makes the go / no-go call.

Start with: One current candidate list, scored on your own criteria.

Manufacturing & Supply · Quality & GMP Documents

Mismatched numbers caught before release

What we hear: “QA checks every document by hand”

Better decision: Whether a document is ready for release

What it can do

Check every number, reference and wording across a release pack
Point QA to the exact pages that disagree
Keep product information in line with approved documents

Who decides: QA approves every release.

Start with: One document type your QA team checks every week.

Marketing & Brand · Brand Planning & Insights

Plans built on real HCP insight

What we hear: “Our plans aren’t built on what HCPs actually need”

Better decision: Which HCPs and messages to focus on

What it can do

Segment HCPs on your own research and CRM data
Show what each segment needs, with the source behind it
Draft the brand plan from global strategy
Flag gaps against shared criteria and HCP needs

Who decides: The brand team decides; MLR reviews every message.

Start with: One brand's segments and plan for next year.

MLR · Content & MLR Review

Fewer review rounds, faster approval

What we hear: “MLR review is our bottleneck”

Better decision: What to fix before review

What it can do

Pre-check content against your MLR rules before submission
Show what changed between versions and label updates
Find approved materials to reuse instead of starting over
Learn from every review: reviewer decisions update the rule files

Who decides: MLR reviewers keep the final say. MLR and Veeva Vault approval stay unchanged.

Start with: One content type and its recent review comments, turned into rule files.

Omnichannel · Omnichannel Engagement

The right next action for each HCP

What we hear: “We report channel results, but rarely act”

Better decision: Which action comes next, for which HCP

What it can do

Map business questions to your CDP data for effectiveness reporting
Draft NBA rules and test them against past output
Run HCP portal tasks with skills your IT approves
Manage HCP events from approval to attendance

Who decides: A person approves every rule before it reaches reps.

Start with: One current NBA rule set, rebuilt and compared with past output.

Commercial · Commercial Excellence

Reps prepared for every call

What we hear: “Reps do paperwork instead of preparing calls”

Better decision: Which HCPs to see, and what to discuss

What it can do

Prepare each call from CRM history and approved materials
Draft field paperwork in minutes
Explain every targeting score with its source
Send off-label questions to medical information
Speed up CRM changes and system rebuilds

Who decides: Guardrails signed off by legal once, applied to every call.

Start with: Account plans and call prep for one region's reps.

Medical · Medical Affairs

Evidence-based answers, faster

What we hear: “Medical information can’t keep up”

Better decision: What HCPs are really asking

What it can do

Draft response letters from the latest label, every sentence sourced
Trace every number in a publication back to its source
Turn MSL notes and requests into insight themes
Support evidence generation and real-world data analysis

Who decides: An MI specialist reviews and sends every answer.

Start with: One product's most frequent medical information requests.

Case study

AI-assisted medical document review

A controlled workflow: AI review alongside manual review, a comparison dashboard, categorized differences and Excel export.

Built for the strictest functions, including pharmacovigilance and GMP quality documents.

Read the case study ->

Pharma clients in Japan

Chugai Pharmaceutical · R&D

Moving AI from efficiency to the core of drug discovery strategy

How Chugai captures researchers' tacit drug discovery knowledge so the whole organization can use it.

Read in Nikkei Business (Japanese) ->

Bayer Yakuhin · AI adoption

Non-programmers made AI part of daily work in three months

Engagement design and leaders who go first mattered more than programming skills.

Read the interview (Japanese) ->

See one of these on your own data?

Talk to us about it ->

Why It Gets Past The Pilot

Built to pass medical, legal and IT review.

Legal and medical sign off on the guardrails once. Every solution after that runs on the same rules, which is why they stay in daily use.

Content

No invention: only the sources you load, and the latest label wins
Fenced topics: off-label and competitor claims refused

Review

People decide: AI reviews first; MLR and Veeva approval unchanged
A source on every line: each sentence and number links back
Labeled output: every AI draft marked for human check

Data and tools

Rules your team edits: kept as files, not hidden in prompts
Audit trail: who asked, what was read, what was written
Firewall kept: medical and commercial data never mixed
Safety and privacy checks: adverse events and personal data detected

Fits Your Environment

No new platform for IT to approve.

Each solution connects to what you already have. It runs in your tenant or on-premises and is logged on every call. Client data is never used to train foundation models or to improve any shared system.

CRM and content

Veeva CRM and Vault, your approved content library

Customer data

Your CDP and data warehouse, read with the access rights you set

Research sources

Literature and experimental databases, searched together

Documents

SharePoint and your quality and regulatory document systems

Approved AI tools

Copilot, ChatGPT Enterprise, Claude: used wherever they are enough

Your cloud

A dedicated app only where the approved tools hit a limit

The People Behind The Suite

Pharma, consulting and finance leaders who build the solutions themselves.

Our pharma work is led by Izumi Yoshida, Head of Pharma and former President & Representative Director of CSL Behring Japan. The team includes alumni of CSL Behring, Novartis, Sanofi, McKinsey, BCG, Accenture, J.P. Morgan and Goldman Sachs.

Meet the team

How Clients Adopt The Suite

Start with one decision, grow into the suite.

Start

One solution, one team. Pick the decision that matters most and go live on your data, in your environment.

Scale

The suite across functions. Every function improves its own decisions, and data stays on its side of the firewall.

Expand

Add a neighboring solution. Guardrails, connections and approvals are already there.

What carries over to each new solution: guardrails signed off once by legal and medical, your rule files, the CRM, data and document connections, and the security review IT already approved.

FAQ

Common questions from pharma teams

What is GenerativeX?

GenerativeX is an AI engineering firm for financial services and life sciences. For pharma teams, we build custom AI add-ons on Veeva and Salesforce, from R&D to the field, that run in your tenant and are built to clear IT, legal and medical review.

Do we need a new platform?

No. Each solution is an add-on to the systems you already run, such as Veeva CRM and Vault, Salesforce, your CDP and SharePoint. Where Copilot, ChatGPT Enterprise or Claude are already approved, we use them. A dedicated app is built only where those tools hit a limit.

Does our MLR process change?

No. MLR and Veeva Vault approval stay as they are. The AI pre-check runs before submission, so reviewers start from a cleaner draft and keep the final say.

What happens with off-label questions?

Off-label and competitor claims are refused. When an HCP asks an off-label question, the rep does not answer it: one click sends it to medical information.

Is our data used to train AI models?

No. Client data is never used to train foundation models or to improve any shared system. Every solution runs in your tenant or on-premises and is logged on every call.

Where do we start?

With one decision for one team, such as one product's most frequent medical information requests or one content type in MLR. It goes live on your data, in your environment. Each next solution reuses the guardrails, connections and security review already in place.

Can our own teams build on it?

Yes. Rule files are kept as files your team edits, not hidden in prompts. We also run prompt playbooks and AI literacy programs for trainers and the field, so teams can build their own skills on approved tools.

Pick the decision. We'll take it live.

Talk to our team ->