AI-Native Transformation Across the Life Sciences Value Chain

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50%

Less documentation effort for medical device teams

50–75%

Manual work automated for healthcare providers & payers

50%

Less compliance effort for cosmetics & nutraceutical companies

Our AI Expertise in Medical Devices

40–50%

less effort per technical-file gap analysis

100%

of Annex II/GSPR requirements checked, not sampled

8 weeks

to a first agent in your validated environment
Agents across the technical file, the quality record and the post-market file — applying your SOPs and MDR/IVDR requirements to evidence you already hold, clause by clause.

What We Offer

Technical file gap check

Every Annex II and GSPR requirement mapped to the evidence that satisfies it, so the gaps surface before a notified body finds them. Nothing the agent is unsure about is closed silently.
MOCRA · PIF · DSHEA · SAFETY EVIDENCE
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CAPA root-cause clustering

Deviations and CAPAs clustered to expose recurring causes and repeat closures across the whole quality record, not one file at a time.
DEVIATIONS · CAPA · ROOT CAUSE

Audit trail review

Scheduled audit trails reviewed at full coverage rather than by sample, with the review itself recorded as inspection evidence.
FULL COVERAGE · EVIDENCE LOG

Label and UDI consistency

Every market variant checked against the master label, Annex I §23 and QMSR 820.45, with each mismatch shown next to the rule it breaks.
ANNEX I §23 · QMSR 820.45
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Post-market report assembly

PMS and PSUR content drafted from complaints, vigilance data and literature, with every figure traceable to the record behind it.
PMS · PSUR · VIGILANCE

What You Get

A gap register you can act on

Every Annex II and GSPR requirement listed against the evidence that meets it, with the clause and the owner attached.
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Evidence that survives the audit

Each check leaves a log an assessor can follow, so the review effort becomes the inspection proof.

One review surface

QMS, design history file, complaints and artwork read together instead of file by file.

Our AI expertise across the wider value chain

Accelerate critical Life Sciences workflows with AI that reduces manual effort, improves accuracy, and delivers traceable, audit-ready outputs - with human review and approval at every critical step.

Why Choose Pace Wisdom Solutions for Life Sciences AI Transformation Company?

We have worked in enough regulated environments to know that an AI model is the easy part. What matters is whether the system can be validated, whether its output can be traced back to source, and whether the team behind it understands that a named person has to sign. That is what we bring - engineering depth in AI, cloud and data, applied to work that is judged by the evidence it produces.

13+

Years in business

250+

Projects delivered

25+

Life sciences solutions delivered

3

Countries, global presence
Agentic AI Solutions already in production - built for regulated workflows across regulatory affairs, quality, clinical operations and pharmacovigilance
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Experience designing systems for validated environments, with audit trail, access control and traceability to source
Knowledge platforms and data foundations that connect information currently trapped across disconnected systems
Human review designed in from the start - agents prepare and check, your named reviewer decides and signs
Flexible engagement models, from a scoped first agent to a managed programme across multiple workflows
ISO-certified delivery and over a decade of building for regulated and data-sensitive sectors

Case Studies

View all
Arrow
Cloud Infrastructure

Real-Time Customer Data Platform for Telecom

Arrow
A Singapore-based Martech company offering a real-time Customer Data Platform built to complement enterprise MarTech stacks.
Success Stories
Fintech

Digitizing Loan Origination for a US Mortgage Company

Arrow
A US-based FinTech company specializing in structured mortgage operations and housing loan origination.
Success Stories
Intelligent Analytical Document Control for Pharma: Claude AI and AWS
Life Sciences

Intelligent Analytical Document Control for Steps Biosciences

Arrow
A leading global CRDMO with 5,200+ scientists and operations spanning drug discovery, clinical development, and commercial manufacturing.
Success Stories
Agentic AI in manufacturing quality control inspecting parts on a production line and acting on defects in real time

How Agentic AI Is Transforming Quality Control in Manufacturing

Agentic AI
Mohammed Azzan
Pacewisdom
,
Sep 16th, 2026
AI agent security architecture in financial services showing layered guardrails from access controls to audit logging

AI Agent Security and Guardrails in Financial Services: A Complete Guide

Agentic AI
Shashank Prabhakar
Pacewisdom
,
Sep 4th, 2026

FAQs

1. What does Pace Wisdom build for life sciences companies?

Agentic AI for regulated workflows, knowledge platforms that connect information scattered across systems, and the data and cloud foundations beneath both. In practice that means agents that check file gaps, regulations readiness, assemble quality reviews, documentation intelligence, knowledge graphs etc.

2. Are you regulatory experts?supply chain visibility?

No, and we do not sell that. Your regulatory team knows your products and your interpretations better than any vendor could. We build the technology that applies your rules across everything you hold, instead of the sample a person has time to read.

3. How would we validate an AI system in a regulated environment?

The same way you validate any system that touches regulated work, and we support that process. FDA's Computer Software Assurance guidance is risk-based - your team classifies the tool by intended use and process risk, then scales assurance activity accordingly. We provide documentation for your validation package rather than a certificate, because no such certificate exists for this category.

4. What happens when the AI gets something wrong?

Three things are designed for exactly that. Every output points at the source record it came from, so a reviewer verifies rather than trusts. Anything the system is uncertain about is surfaced rather than closed silently. And a named reviewer approves before anything is final.

5. We already use a QMS, eTMF or LIMS. How is this different?

Those are systems of record: they store, route and version documents. We read across what is already in them and check it against the requirements that apply. Different job, and the two work together rather than competing.

6. Can this run without our data leaving our environment?

That constraint is normal in this industry and we design around it rather than retrofitting. The right architecture depends on your infrastructure and security posture, so we bring your IT and security teams into the conversation early.

7. How long does a first deployment take?

We start by assessing how the work runs today rather than demonstrating software, because every organisation's SOPs differ. Once scoped, the target is a first agent running in your validated environment within weeks rather than quarters.

8. What engagement models do you offer?

From a scoped first agent through to a managed programme across multiple workflows. Most engagements begin with one high-burden workflow, so the approach is proven in your environment before it is extended.

9. Do you work with companies outside the EU and US?

Yes. We work with organisations in India and elsewhere that export into regulated markets - often the ones carrying the heaviest burden, since the same product has to satisfy several regimes at once, each wanting the same evidence in a different structure.

Contact Us

Currently, we are headquartered in Bengaluru, India,
and have branch offices in California, USA and Mangalore, India.

Phone

Email

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