AI-Native Transformation Across the Life Sciences Value Chain

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‍Overview

Regulatory expectations keep expanding while timelines keep shrinking. The cost rarely comes from a shortage of expertise - it comes from expert judgement being spent on work that does not need it.

Pace Wisdom Solutions builds AI-native systems for organisations whose work is judged by the evidence it produces. We partner with device manufacturers, pharmaceutical companies and CDMOs, sponsors and CROs, and consumer health brands - across regulatory affairs, quality, clinical operations and pharmacovigilance.

Your experts own the science and the interpretation. We build the technology that lets theirjudgement reach everything it should and execute workflows faster - inside your validatedenvironment, with a named reviewer signing off.

A female scientist or doctor wearing glasses and a white lab coat studies a transparent digital tablet displaying documents and graphs, surrounded by floating holographic icons representing data, security, molecular structure, vaccine vial, brain network, group of people, bar chart, medical device, and global network connections.

Our expertise across the Life Sciences value chain

Medical Devices

Medical Devices

One device, several regulators, each wanting the same evidence in a different shape - and a file that grows with every variant, every market and every change. We build AI that keeps your technical file, quality record and post-market evidence consistent with each other, so a small engineering change doesn't quietly invalidate twenty documents.
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Clinical Trials

Inspection readiness rests on a trial master file nobody has time to read in full, so most
teams sample and hope. We build AI that checks every artefact at every site - not just that a document is filed, but that it is still the valid one.
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Pharmaceuticals

Investigations start from a blank form even when the same problem was solved three years ago, and audit trails get reviewed at a few percent. We build AI that reads across your quality record, so investigators start from precedent and nothing important sits in the part nobody checked.
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Cosmetics

Cosmetics & Nutraceuticals

Compliance effort multiplies with every SKU and every market, while the regulatory team stays the same size. We build AI that screens ingredients, traces claims to their evidence and keeps registrations current - so one supplier change doesn't surface as a problem on printed packaging.
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Healthcare Providers & Payers

Most appealed prior-auth denials are eventually overturned, which means the work was winnable the first time and simply wasn't assembled completely. We build AI that puts the right evidence against the right payer policy before submission, not after a denial.
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Strategic Impact

Full Coverage

Most regulatory review happens on a sample, because nobody can read everything. Our agents check the whole population instead - and log each check, so the review itself
becomes inspection evidence.

Institutional Memory

Decades of investigations and precedent sit in systems that can't be read across. We connect them, so an investigator opens a case with comparable history in front of them rather than a blank form.

Compliance Ready

Validation, audit trail, access control and traceability to source are design requirements, not later additions. Built to run inside your validated environment, with a named reviewer approving anything that carries regulatory weight.

Capacity Without Headcount

Regulatory burden scales with products and markets; teams do not. Moving effort off assembly and onto judgement lets the same specialists cover more scope without proportional hiring.

Capability Highlights

  • Agentic AI for Regulatory and Quality Workflows
  • Technical File and Design History File Intelligence
  • Trial Master File Readiness and Clinical Document Automation
  • Audit Trail Review and Data Integrity Monitoring
  • Deviation, CAPA and Investigation Support Systems
  • Batch Record and Quality Review Automation
  • Label, Artwork and Claims Verification Platforms
  • Knowledge Graphs for Regulated Enterprises
  • Document Intelligence for Large Evidence Sets
  • Regulatory Intelligence
  • GxP Intelligence Copilot
  • Post-Market Surveillance and Safety Report Assembly
  • Prior Authorisation and Payer Evidence Automation

Life Sciences Technology Solutions Built for Regulated Work

Pace Wisdom Solutions delivers AI systems and technology services across the full lifecycle, from discovery and architecture through build, validation support and long-term operation.
We work with medical device manufacturers, pharmaceutical companies and CDMOs, sponsors and CROs, patient-access operations and consumer health brands. Every engagement is shaped by what the organisation actually needs, not by what fits neatly into a service catalogue.
Our teams bring engineering depth in AI, cloud and data alongside a working understanding of how regulated organisations operate. AI that ignores validation, traceability and sign-off does not get deployed, however good the model is. We build systems that fit the way regulatory, quality and clinical teams already work - which is why they survive contact with an auditor.

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.
Agentic AI

Agentic AI Solutions already in production - built for regulated workflows across regulatory affairs, quality, clinical operations and pharmacovigilance

Experience

Experience designing systems for validated environments, with audit trail, access control and traceability to source

Knowledge

Knowledge platforms and data foundations that connect information currently trapped across disconnected systems

Human review

Human review designed in from the start - agents prepare and check, your named reviewer decides and signs

engagement

Flexible engagement models, from a scoped first agent to a managed programme across multiple workflows

ISO-certified

ISO-certified delivery and over a decade of building for regulated and data-sensitive sectors

Case Studies

View all
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Intelligent Analytical Document Control for Pharma: Claude AI and AWS
Life Sciences

Intelligent Analytical Document Control for Steps Biosciences

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A leading global CRDMO with 5,200+ scientists and operations spanning drug discovery, clinical development, and commercial manufacturing.
Success Stories
Generative AI for Pharma SOP Automation on AWS
Healthtech

Generative AI for Pharma SOP Automation on AWS

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Success Stories
Myrubaroo
Healthtech

MyRubaroo: Medical research application

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Success Stories
AI in life sciences transforming drug discovery, clinical trials, medical devices, and manufacturing in 2026

How AI Is Transforming the Life Sciences Industry in 2026

Agentic AI
Bharath Jatangi
Pacewisdom
,
Oct 1st, 2026
Agentic AI in healthcare operating across patient monitoring, clinical documentation, and care coordination

Agentic AI in Healthcare: From Patient Care to Clinical Operations

Agentic AI
Madhukar Hiranya
Pacewisdom
,
Jul 27th, 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?

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.

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