Industries / Health Care

Life Sciences & Pharma

Pharmaceuticals, Biotechnology & Life Sciences · Pharmaceuticals · Life Sciences Tools · Clinical Research · Medical Affairs

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Life Sciences & Pharma spends a decade and enormous capital before a product reaches a patient, under records that must stay inspection ready and evidence that must be traceable to source. Across various engagements in multiple geographies, iFortis Worldwide has engineered intelligence into Clinical Trial Intelligence, Regulatory Submission Copilot, Pharmacovigilance Automation, Medical Affairs Copilot, Manufacturing Quality Intelligence, Supply Continuity Intelligence, Research Knowledge Intelligence, Field Engagement Optimization, Laboratory Operations Automation and Commercial Forecasting Intelligence, always above validated systems, good practice controls and human scientific review.

Key impacts

  • Clinical Trial Intelligence. Recruitment problems surfaced in monthly site reports, after the enrolment window had already slipped.
  • Regulatory Submission Copilot. Submission authors reassembled the same evidence by hand for each market and each dossier.
  • Pharmacovigilance Automation. Adverse event intake was keyed manually, and case volume grew faster than the safety team.
  • Medical Affairs Copilot. Scientific enquiries were answered from personal files, with inconsistent citation and slow turnaround.
Life Sciences & Pharma
Sector
Health Care
Industry group
Pharmaceuticals, Biotechnology & Life Sciences
Sub-industries
Pharmaceuticals, Life Sciences Tools, Clinical Research, Medical Affairs

Our Experience & Impact.

Engineered with intelligence. Measured by outcomes.

0+
Years On The Bench

Senior engineers who have run production systems before, not learned on yours.

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Programmes In Production

Transformation programmes taken past pilot and into daily operation.

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Specialists Under One Standard

One delivery standard, whoever is on the engagement.

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Solutions Running Live

Built, deployed and still operated by us after handover.

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Systems Connected

Core platforms and data estates joined into one governed architecture.

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Governed Agents In Service

Each with an identity, a permission set and a human who owns it.

0K+
Hours Codified Into Assets

Work turned into assets the next engagement starts from.

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Markets Under Delivery

Delivery, data residency and support where the business actually operates.

24×7
Continuous Operations

Engineering and managed operations that follow the working day around.

0
SDGs Mapped To Delivery

Every engagement mapped against the Sustainable Development Goals.

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iFortis Worldwide® AI Native Enterprise Framework

From Enterprise Vision to Autonomous Operations.

STAGE 01Envision01020304050607080910

Stage 01 · Envision

Define business ambition and transformation outcomes.

Establish enterprise strategy, AI vision, value cases, governance objectives, and success metrics aligned with business priorities.

Outputs

  • Enterprise Vision
  • AI Strategy
  • Business Case
  • Transformation Roadmap

Trending solutions

The AI Native solutions engineered for Life Sciences & Pharma, each with its recorded outcome and the full story to read

Clinical Trial Intelligence

Pharmaceuticals

Trial agents linked site performance, enrolment data and protocol deviations to predict recruitment shortfalls early.

31% faster patient recruitment

Regulatory Submission Copilot

Life Sciences Tools

A retrieval grounded copilot assembled study reports, source data and precedent into structured submission drafts.

49% faster submission authoring

Pharmacovigilance Automation

Clinical Research

Document AI processed adverse event intake, coding and case narratives with reviewer escalation built in.

58% faster case processing

Medical Affairs Copilot

Medical Affairs

A governed knowledge fabric answered scientific enquiries from approved evidence with citation and reference tracking.

2.6x more scientific enquiries handled per adviser

Manufacturing Quality Intelligence

Pharmaceuticals

Batch models connected process telemetry, deviation records and release testing to predict quality excursions.

27% fewer batch deviations

Supply Continuity Intelligence

Life Sciences Tools

Supply agents modelled demand signals, cold chain constraints and supplier risk across markets.

22% fewer supply interruptions

Research Knowledge Intelligence

Clinical Research

Graph retrieval connected internal studies, literature and assay results into a searchable evidence base.

64% faster evidence retrieval

Field Engagement Optimization

Medical Affairs

Next best action models linked engagement history, scientific interest and compliance rules for field teams.

18% more relevant field engagements

Laboratory Operations Automation

Pharmaceuticals

Digital workers scheduled instruments, transcribed results and prepared laboratory records under electronic signature control.

35% higher laboratory throughput

Commercial Forecasting Intelligence

Life Sciences Tools

Forecasting models combined prescription data, market access changes and launch analogues to project demand.

24% lower forecast error

Engineering technology stacks used

Everything engineered across the Life Sciences & Pharma engagements, summarised by layer of the enterprise stack

AI and machine learning17

  • LLMs
  • Fine-tuned SLMs
  • Retrieval augmented generation
  • Agent frameworks
  • Multi-agent orchestration
  • Knowledge graphs
  • Biomedical NLP
  • OCR and document AI
  • Computer vision
  • Deep learning
  • Gradient boosting
  • Bayesian models
  • Survival models
  • Time series forecasting
  • Molecular property prediction
  • Active learning
  • Explainable AI

Data12

  • Databricks
  • Delta Lake
  • Snowflake
  • Spark
  • Kafka
  • Apache Airflow
  • dbt
  • Apache Iceberg
  • Vector database
  • Graph database
  • pgvector
  • BigQuery

Databases10

  • PostgreSQL
  • MongoDB
  • Neo4j
  • Elasticsearch
  • Weaviate
  • Milvus
  • Redis
  • ClickHouse
  • DynamoDB
  • Cassandra

Backend8

  • Python
  • Java
  • Go
  • .NET
  • Scala
  • R
  • Node.js
  • Rust

Frontend5

  • React
  • Next.js
  • Angular
  • Vue
  • Svelte

Cloud6

  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
  • OpenShift
  • Hybrid cloud

Integration8

  • REST
  • gRPC
  • GraphQL
  • HL7
  • CDISC
  • Event driven
  • Webhooks
  • API gateway

DevOps12

  • Terraform
  • Docker
  • Helm
  • ArgoCD
  • GitHub Actions
  • Jenkins
  • Prometheus
  • Grafana
  • Datadog
  • ELK
  • OpenTelemetry
  • Nomad

Analytics4

  • Power BI
  • Tableau
  • Looker
  • Superset

Security8

  • SSO
  • OAuth2
  • mTLS
  • IAM
  • Zero Trust
  • SIEM
  • Audit logging
  • Vault

Explore the full stack

Case studies across the sector

Learn how AI Native Technology is applied across the Health Care sector, one engagement from each industry

Life Sciences & Pharma

Clinical Trial Intelligence

31%faster patient recruitment

fewer screening failures
24%
earlier enrolment risk detection
39%

Systems integrated

LLMs · Retrieval augmented generation · Agent frameworks · Knowledge graphs · Bayesian models · Survival models · Databricks · Delta Lake · Apache Airflow · Vector database · Graph database · PostgreSQL · Neo4j · Python · Java · React · Next.js · AWS · Kubernetes · CDISC · REST · gRPC · Event driven · Terraform · ArgoCD · Grafana · Power BI · SSO · IAM · Audit logging

Healthcare

Care Documentation

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

LLMs · Fine-tuned SLMs · Speech recognition · Clinical NLP · Retrieval augmented generation · Delta Lake · FHIR data store · Vector database · pgvector · PostgreSQL · MongoDB · Python · .NET · React · Angular · Azure · Kubernetes · HL7 · FHIR · REST · Event driven · Terraform · GitHub Actions · Datadog · Tableau · SSO · Zero Trust · Audit logging

Pharmaceutical Distribution & Healthcare Services

Distribution Intelligence

19%fewer stock outs

lower expiry write off
26%

Systems integrated

Time series forecasting · Gradient boosting · Constraint solvers · Anomaly detection · Snowflake · Kafka · dbt · ClickHouse · PostgreSQL · Cassandra · Redis · Go · Java · Vue · Next.js · Google Cloud · Hybrid cloud · EDI · REST · Event driven · Docker · GitLab CI · Prometheus · Superset · SSO · mTLS · Audit logging

Biotechnology

Bioprocess Intelligence

3.2xmodeled three year return

Material operational improvement and measurable economic value

Systems integrated

Deep learning · Molecular property prediction · Active learning · Bayesian models · Digital twin models · Databricks · Delta Lake · Spark · InfluxDB · Milvus · PostgreSQL · MongoDB · Python · R · Rust · React · Svelte · AWS · Kubernetes · OPC UA · REST · gRPC · Terraform · Argo · OpenTelemetry · Looker · SSO · Vault · Audit logging

Medical Devices & Diagnostics

Complaint Handling Automation

47%faster complaint processing

fewer late reportable events
30%

Systems integrated

LLMs · OCR and document AI · Biomedical NLP · Agent frameworks · Explainable AI · Delta Lake · Apache Airflow · Vector database · pgvector · PostgreSQL · Elasticsearch · MongoDB · Python · .NET · Node.js · Angular · Next.js · Azure · OpenShift · REST · GraphQL · Webhooks · Terraform · Jenkins · ELK · Power BI · SSO · OAuth2 · Audit logging

Trusted by the world’s leading enterprises.

Clients include: Allianz · Bank of America · Caterpillar · CHANEL · Citi · Dell · FedEx · Huawei · Hyundai · John Deere · Kellogg’s · Nissan · NIVEA · Philips · UNIQLO · Adobe · HSBC · L’Oreal · Nike · Siemens · Starbucks · Verizon · Walmart.

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