Every order, patient, and dollar,
ready to query.

Data & Intel sits on 5 Axis Core, so it already holds every event from Telehealth, Pharmacy, Care & Monitoring, and Manifold. Operators get dashboards on day one, and builders get SQL, MCP, and a live feed into their warehouse. There are no pipelines to build and no ETL to maintain.
Attribution flow from marketing source to conversion

Your data is trapped in systems that don’t talk to each other

Pharmacy data lives in one system, clinician activity in another, and patient outcomes in a third. When someone asks for the average time-to-fill or which providers are most efficient, the answer takes days of spreadsheet work, if it comes at all.

Data & Intel gives you developer-level access to every operational metric across your medical workflows.

See which ads become patients

Marketing, intake, prescribing, and payments share one database, so every patient journey is traced from the first click to the prescription they filled. You see which paths convert, which channels pay off, and what each patient costs to acquire.

Patient journey paths and conversion rates
Daily ad spend by channel

Put every ad dollar next to the revenue it brought in

Daily spend by channel sits beside conversion and revenue, so a campaign is judged on the patients it produced. Your acquisition cost is measured against cleared revenue, not an ad platform’s estimate.

Watch retention cohort by cohort

Subscription medicine lives or dies on whether patients stay. Every signup month gets its own retention curve, so you see the moment a cohort starts to slip.

Cohort retention by signup month

Dashboards for the people running the operation

Pharmacists, clinicians, and ops leads open a dashboard and see where the day is going. A slowing step shows up before it becomes a missed SLA.

Time to fill by stage

Live
Stagep50p95Throughput
Intake to review8m24m42/hr
Review to compound22m1h 12m38/hr
Compound to QA35m2h 04m34/hr
QA to ship12m28m36/hr
Compounding to QA is the slowest step this week.
01

Pre-built operational dashboards

Time-to-fill, review queues, fulfillment throughput, clinician performance, and patient flow are ready the day you start, with nothing to build.

02

Time-to-fill and review analytics

Every step from order received to patient delivery is timed, so you can find the bottleneck, benchmark teams, and track the fix.

03

Clinician performance

Consult volume, response times, prescribing patterns, and patient outcomes show where to buy back time for your clinical team.

04

Data quality analysis

Inconsistencies and anomalies across your medical workflows are flagged, so the data behind clinical decisions stays clean.

05

Audit-ready compliance logs

Every action, change, and access is logged and queryable, and an audit report takes minutes instead of days.

query.sql

select pharmacy,

percentile(time_to_fill, 0.95) as p95,

count(*) as orders

from orders

where filled_at > '2026-09-01'

group by 1 order by 2 desc

pharmacyp95orders
Northwind Rx3h 48m1,204
Harbor Compounding2h 14m986
Bluebird Pharmacy1h 52m742

SQL for the people building on it

The data is already structured, timestamped, and queryable across pharmacy, telehealth, and care. Write a query and get your answer in seconds.

  • Raw SQL access

    Query your operational data directly and get answers in seconds, without waiting for engineering to pull a report.

  • MCP integrations

    Connect 5 Axis data to your AI workflows and the tools your team already uses through the Model Context Protocol.

  • Data warehouse connection

    Stream operational data to Snowflake, BigQuery, Redshift, or Databricks and join it with the rest of your business.

Built for everyone who needs the data

The same numbers serve the pharmacy floor, the boardroom, and the data team. Everyone works from one source of truth.

Pharmacy operations leads

Track time-to-fill, review queues, and throughput across the whole operation, and catch bottlenecks before they become SLA breaches.

Brand owners and executives

See patient conversion, retention, revenue, and operational health in one place, and decide with data instead of instinct.

Developers and data teams

Build custom analytics with SQL, warehouse sync, and MCP, feed the data into your models, and automate your reporting.

Clinical leadership

Understand clinician workload, patient outcomes, and prescribing patterns, and give providers back time for care.

See your whole operation clearly

Talk to our team about what Data & Intel looks like for your operation, or email us at [email protected].