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Engineered, not assembled For pharma · biotech · CRO

We built the previous generation of medical literature monitoring software. Now we're building the next.

The team behind LitSafe has spent years developing and scaling systems trusted by global pharmaceutical companies, CROs and regulatory authorities. LitSafe brings that experience into a platform designed for the future of medical literature monitoring.

Michael Rai
Co-founder · Business
Mark Drinkwater
Co-founder · MLM Product
David Shahidi
Co-founder · Technology
The provenance

We saw where MLM systems succeeded. We saw where they failed.

Before LitSafe, we created the previous market-leading medical literature monitoring system. From the original Pi2 platform through its evolution under ProQuest, Dialog Solutions and later Clarivate, we weren't just observers. We built it, implemented it, migrated global pharmaceutical organisations onto it and supported it through audits, inspections and day-to-day operational use.

That experience taught us something important. We saw first-hand where legacy MLM systems excelled and where they struggled. We watched platforms become harder to maintain, harder to validate, and harder to adapt as regulatory expectations, literature volumes, and operational demands continued to grow.

LitSafe was created to solve these problems. It is the platform we are building bringing with us everything we have learned from decades of real-world MLM implementations, validation and operation. Designed from the ground up for modern pharmacovigilance teams, LitSafe combines the lessons of the past with the technology standards expected today.

"Audits, CAPAs, and inspections reveal the true strengths and weaknesses of a system. Having supported organisations through each of them, we designed LitSafe around the qualities that matter most: control, traceability, transparency, and resilience under scrutiny." — LitSafe Founding Team
By the founders, in numbers

Decades of MLM experience. Built into the platform we wished we could build the first time around.

60+
Years combined
We've lived the operational reality of Medical Literature Monitoring supporting workflows, audits, inspections, and the delivery pressures that test systems every day.
5th
Generation of MLM
We helped build four generations of MLM software. LitSafe is the fifth, designed from the ground up with every lesson, limitation, and hard-earned insight of the previous generations left behind.
5y
GM, Embase
Held P&L ownership at Elsevier of the world's most important biomedical database for medical literature monitoring.
9M+
Literature Assessments
Process efficiency informed by over 9 million literature assessments performed for patient safety issues.
What we engineered

Validated. Audit-ready. Configurable. Built to scale.

LitSafe is a workflow platform engineered for the realities of pharmacovigilance operations, validation and inspection readiness.

01 / Validation

A validation package your QA team can trust.

URS, FRS, risk assessments, traceability, automated test execution, AI evaluation, model governance, and controlled change management. Built around QA and CSV expectations from the start, not retrofitted to meet them later.

02 / Audit Trail

Every decision. Attributable. Traceable. Defensible.

Source ingestion, model versions, reviewer actions, overrides, annotations and approvals are captured in a complete audit trail with identity, timestamp, and rationale. Exportable on demand to support audits, inspections and customer QA review.

03 / Configurability

Tunable to your portfolio. Governed for alignment.

Drug synonyms, source sets, triage thresholds, reviewer workflows, QC sampling, and annotation layers are all configurable through controlled change processes, with full traceability and documented change records.

04 / Scale

Built for AI-scale. Designed for regulatory scrutiny.

Engineered to handle tens of thousands of articles per drug per year, intelligently removing duplication and focusing reviewer attention where it matters most. No compromise on recall, traceability, transparency or human oversight.

Built from real audit lessons

We built LitSafe around the lessons learned from real audits, real inspections and real-world MLM operations.

Auditor findings are rarely exotic. More often, they stem from familiar weaknesses: search strategies that cannot be fully justified, gaps in source coverage, Day Zero processes that are not consistently controlled and audit trails that fail to provide the necessary evidence under scrutiny. LitSafe has been designed to address these challenges from the outset.

Search Strategy

Search logic you can defend with confidence during an inspection. Every change to drug terms, synonyms, source coverage, and exclusions is fully versioned, attributed and time-stamped. Any historical search can be recreated exactly as it ran, with a complete record of the decisions behind it.

Coverage

Coverage you can defend in an inspection. Every product is mapped to its authorised markets, with source coverage aligned to GVP monitoring requirements. Gaps are surfaced proactively and every required search produces dated, attributable proof-of-search.

Timeliness

Day Zero tracked with precision. Every literature-sourced case is anchored to the first documented availability of the publication to the MAH, monitored against reporting obligations and proactively escalated before a compliance risk emerges.

Traceability

Evidence that survives scrutiny. Every search execution, screening decision, exclusion rationale, QC review, and approval is recorded with attributable electronic signatures, timestamps and complete audit history. Immutable, reproducible, and available on demand for audit and inspection review.

Built by the people who helped shape modern Medical Literature Monitoring

Three founders. One specific job to do.

LitSafe wasn't created by AI specialists entering pharmacovigilance. Its founders have spent decades building, delivering, and operating medical literature monitoring systems, regulated platforms, and pharmacovigilance workflows for some of the world's most demanding pharmaceutical organisations.

Michael Rai
01

Michael Rai

Co-founder · Business Strategy
Leadership roles driving growth across Elsevier, Embase, Quosa, ProQuest Dialog, Drug Safety Triager, Clarivate PV and Regulatory Intelligence

Michael has spent more than two decades building and scaling information products used across life sciences.

His career spans Elsevier, Quosa, ProQuest Dialog, and Clarivate, including commercial leadership of the world's most-used biomedical literature database and multiple generations of medical literature monitoring technology.

He understands how pharmaceutical organisations evaluate, procure, and deploy regulated platforms at global scale.

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Mark Drinkwater
02

Mark Drinkwater

Co-founder · MLM Product
Founder, Pi2 (acquired by ProQuest)
20+ years frontline PV / MLM
Migrated large pharma onto Dialog Solutions

Mark is one of the industry's most experienced medical literature monitoring specialists.

Founder of Pi2 and a key figure across multiple generations of MLM technology, he has spent more than 20 years designing MLM workflows, leading implementations, and migrating major pharmaceutical organisations onto regulated literature monitoring platforms.

His experience spans operational pharmacovigilance, validation, inspection readiness, and the realities of running MLM programmes at scale.

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David Shahidi
03

David Shahidi

Co-founder · Engineering
Co-creator, Pi2 → Dialog Solutions
Hands-on developer, Drug Safety Triager
AI-native SaaS architecture

David helped build the technology behind multiple generations of MLM platforms, from Pi2 through Dialog Solutions, Clarivate and the Drug Safety Triager.

He leads LitSafe's platform architecture and engineering teams, combining deep domain knowledge with modern AI and cloud technologies.

His focus is building systems that remain performant, traceable, and maintainable under real-world regulatory and operational pressures.

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Why this matters

The previous generation was good. The next one has to be better.

We spent years building, implementing, and supporting MLM platforms at scale. That experience showed us where even successful systems begin to bend under operational pressure, validation demands and regulatory scrutiny. LitSafe has been engineered to remove those compromises. Not to repaint them.

Dimension
Legacy MLM
LitSafe
Architecture
Search-centric platform with workflow layered on top.
AI-native processing pipeline with a regulated workflow as the system of record.
Validation
Validation documentation maintained alongside releases.
Requirement IDs, automated test traceability, and validation evidence generated continuously by the build.
Audit trail
Operational records captured across multiple system layers.
Attributable, timestamped, exportable decision evidence by design.
Configurability
Configuration changes often managed through vendor services.
Controlled configuration with change records governed by customer QA.
AI governance
AI capabilities introduced as discrete features.
Model versioning, regression evidence, explainable triage and human-controlled reportability.
Scale economics
Reviewer effort grows with portfolio volume.
Reusable structured screening reduces duplicated review across products and customers.

Talk to the team who have been there before.

Whether you're evaluating new platforms, planning a migration, or preparing for growth, we'd welcome the conversation.