Life Sciences

The agentic AI platform built for life sciences.

Validation-ready data lineage, every reporting cycle. R&D and clinical knowledge surfaced with citations. Data pipelines that turn raw clinical and claims data into AI-ready insight. The work your validated systems can't slow down, running on the platform your QA and compliance teams can verify.

21 CFR Part 11 GAMP 5 SOC 2 Type II
1B rows · 2 hrs
Prescription + claims
280-step pipeline
Validated end-to-end
app.dataworkz.com / sparkai / clinical-pipeline sparkai.transform
Clinical & claims data pipeline
Step 178 / 280 · validated · GAMP 5
Live
Source
EHR · CRO
→
Transform
280 steps
→
Validate
21 CFR 11
→
AI-ready
Insight
Rows / run
1B
▲ 5–20x volume held
Onboarding
2 days
▼ from 6 weeks
Quarterly savings
$75K
▲ Every quarter
09:14:02VALIDATEstep 178 · schema match · 14,820 rows
09:14:03LINEAGErecorded → Collibra governance
09:14:04REVIEW2 dropped rows queued for QA · auditable

Simplify workflows across the work your team runs on.

Reliable automation, built-in audit trail, measurable ROI for every workflow.

21 CFR 11 GAMP 5 Pentaho Collibra
Bucket 01
The work your auditors and inspectors verify.

Regulatory and validation work

Build always-on validation lineage from your ETL pipelines into your governance system. Audit-ready documentation generated for every reporting and submission cycle, with full traceability from source to report.

validation lineage 21 CFR Part 11 GAMP 5 end-to-end traceability
R&D Clinical Regulatory Medical Affairs
Bucket 02
Senior knowledge, surfaced where it's needed.

Knowledge across R&D, clinical, regulatory

Build permission-aware retrieval over fragmented documentation across functions. Surface answers with citations for the team that needs them, while access controls follow the document, not the user.

cross-functional RAG permission-aware source citation clinical & regulatory
JIRA CHG-9912 GxP validated
Bucket 03
Validated systems, modernized without slowing them down.

Engineering and change control

Build change control automation, code generation, and test automation on the same platform. Synthesize context across JIRA, GitHub, Confluence, ServiceNow. Validation evidence captured automatically, not reconstructed under deadline.

change control GAMP 5 code generation validation evidence
1B rows Databricks Snowflake 280 steps
Bucket 04
Clinical and operational data, ready for what comes next.

AI-ready data infrastructure

Build pipelines that turn raw clinical, claims, and operational data into AI-ready insight. Multi-step transformation across Databricks, Snowflake, and your BI tooling, scheduled or event-driven, with the ability to restart from any step.

clinical pipelines Databricks Snowflake real-world evidence
$75K / qtr 2 days A/B audit ✓
Bucket 05
ROI you can prove, not promise.

Measurable outcomes for every workflow

Build agents with metrics, traceability, and A/B testing from day one. Every agent decision is logged and audited. Every workflow shows its return, instrumented, not estimated.

per-agent ROI observability A/B testing audit trail

The compliance posture your security review already expects.

SOC 2 Type II certified. Audit trail by default. Deployment models that keep your data inside your perimeter.

01

Deploy where your data lives

Run Dataworkz in your own VPC, on a single-tenant cloud, or as managed SaaS. Your perimeter, your IAM, your network policies. No data leaves where you need it to stay.

02

Permission-aware by default

Inherit role-based access from your data sources through to every agent your team builds. Chunk-level RBAC means a clinical reviewer's agent surfaces only what that reviewer can see, same as the underlying clinical data system.

03

Audit trail on every action

Every agent decision, data access, and output is logged with timestamp, user, and source. Trace any output back to the source data and the prompt that generated it. Aligned with 21 CFR Part 11, GAMP 5, and GxP requirements.

04

SOC 2 Type II, continuously compliant

Encryption at rest and in transit. Continuous SOC 2 Type II monitoring. Request the report through the trust portal, your security team gets what they need without a sales call.

Your security team gets what they need without a sales call. SOC 2 report and full security posture available on request.

What Life Sciences teams are building with Dataworkz

See what one Life Sciences team has built.

One Life Sciences deployment. Real workflow. Real customer scale.

Lifesciences Insight Provider
280-step transformation pipeline · live on Spark Generation

280-step transformation workflow live on Spark Generation. $75K saved per quarter, every quarter.

An insights management platform for life sciences organizations. Build the data infrastructure that turns raw prescription and medical claims data into AI-ready insight, replacing manual pipeline troubleshooting that broke at 5–20x data volume.

  • 1B rows of prescription and medical claims data processed in under 2 hours
  • 280-step transformation pipeline automated end-to-end across Databricks, Snowflake, and Tableau
  • 6 weeks → 2 days to onboard new data sources
  • $75K in savings every quarter on infrastructure and ops
Read the full story

100+ connectors across the systems your Life Sciences team works in every day.

Plug into your data warehouse, clinical and regulatory systems, governance tools, and engineering stack, out of the box.

100+ integrations across your stack.

Plug into clinical, regulatory, data, and engineering systems out of the box.

Discover all integrations
aws
Azure
GCP
Veeva
Snwflk
Dbx
Medi
JIRA
Conf.
SNow
Pentaho
Mongo
BigQ
IQVIA
dbt
Slack
GitHub
SF
SAP
Collibra
Couch
Pinec.
Tabl.
SP
Neo4J
Oracle
S3
DStax
REDCap
Confl.
PowerBI
Box
+85
Plus 85+ more across CRMs, databases, data lakes, object stores, and SaaS, all configured in minutes inside your perimeter.
Get your team building

Your work is too important to wait.

See what your team can ship on Dataworkz, with the audit trail your inspectors require and the deployment model your data demands.

Deploys in your VPC SOC 2 Type II Audit-ready