Platform/Orchestration

The governed agent layer for pharma commercial AI.

Agent ML Ensemble turns analyst intent into production models, reports and audit trails — through validated skills, never around them.

In production with a Top-10 global pharma
SOC 2 Type II audited HIPAA-aligned Plan-gated SDLC
Why a layer, not a bolt-on

Point agents at pharma data without context and you get confident nonsense. Ensemble is built as one integrated stack — every agent runs on validated data context, domain skills and an approval gate, so work arrives production-ready with the audit trail already attached.

The stack

Five layers, one governed loop

Layer 01

Context Engine

Validated data context — claims, CRM and EHR unified with lineage preserved, 50M claims in a single run. Every agent reasons over the same governed view. Never a guess.

Context
Layer 02

Engine

The AutoML SDK underneath. Agents don't reinvent pipelines — they drive a factory already running 80+ production models across 10+ brands.

Engine
Layer 03

Skills

Institutional knowledge packaged as validated skills — lifecycle, therapeutic and commercial. Seventeen live today; a new disease area onboards in hours.

Skills
Layer 04

Evaluation & Governance

A plan gate before any code runs, drift, bias, hallucination and traceability checks on every output, and impact measured independently. Zero ungoverned output.

Governance
Layer 05

Consumption

Branded, report-ready deliverables — exploratory analysis in thirty minutes, a documented pipeline in a day, answers reps and leaders act on.

Answers
Shared capabilities

Runs where you run

Deployment models

On-premPrivate cloud (VPC)Hybrid

Data sources

IQVIA claimsCRMEHREngagementTrialsOpen Payments

Works with

SnowflakeRedshiftDatabricksS3Step FunctionsConfluence

Cloud

AWS (Partner)Your cloud

The future of pharma GTM
starts with intent.

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