• The Factro platform

Three pillars.
One record.

Every Factro product runs on three pillars. Compliance native: a Compliance Engine checks every action against your ruleset. Process driven: Task Manager moves the work across departments. AI first: Prism explains what your records are telling you.

See it in your workflow Explore the products

Inside ERP, MES and QMS. Nothing to bolt on.

Pillar 03AI First

● Prism · in development

Pillar 02Process Driven

● Task Manager · SLA 2 h

Pillar 01Compliance Native

● Release held

Batch B-2281 · one record

ERPMESQMSAudit trail

Pillar 01 · Compliance Native

Every action is checked.
Before it is saved.

An isolated service holds the ruleset for your framework and industry, and checks every action against it.

Checked before it is saved

Submissions, approvals, events, settings changes, alerts and deviations all pass the ruleset first.

Held, not lost

An action that fails a rule waits for the right signature, with the reason attached.

Every decision is signed

Approve, approve with conditions or reject. The signature and its meaning go to the append-only, hash-chained audit trail.

Rulesets

The ruleset changes when
the regulation does.

One ruleset per framework and industry. It changes only when the regulation does, after internal and external review.

Pharmaceuticals

Frameworks

US21 CFR Part 11
EUEU Annex 11
INRevised Schedule M
GlobalPIC/S GMP
GlobalICH Q10 / GAMP 5

RS-PHAv2026.4

CTL-DIData integrity
CTL-DOCDocumentation
CTL-PRDProduction
CTL-QCQuality control
CTL-RELRelease
CTL-TRNTraining

Validated internally and externally

01
A governing body issues a change
New or revised regulation is published.
02
Impact assessed
We map the change to each affected rule and control.
03
Internal validation
Our quality and engineering teams test every affected rule.
04
External validation
Independent reviewers check conformance before release.
05
Versioned release
A new ruleset version ships with release notes. Earlier versions stay on record.

Pillar 02 · Process Driven

Work finds its owner.
Nobody has to chase it.

Task Manager drives the work within and across departments, as you configure it. Every handover arrives as a ticket with an owner, a clock and the record attached.

My work

Workflow and ad-hoc tickets assigned to you, across every module.

Open work105 open, 4 in progress, 1 blocked

Overdue2Oldest is 1 day over

Due in the next 24 hours3Next sign-off in 7h

Completed, last 7 days15Plus 1 done, waiting for verification

On time, last 7 days90%Up 4 points on the 7 days before

Time to verify, last 7 days1d 6hMedian, raised to completed

Open5

TKT-0142Overdue 1d

Plan sales order SO-22

Order to make, step 3 of 5

TKT-0139Overdue 4h

Raise invoice for GDR-10231

Make to release, step 6 of 6

In progress4

TKT-014018h left

Effectiveness check, DEV-0447

CAPA action

TKT-013820h left

Order O-5510 accepted from production

Handover

Blocked1

TKT-0136Blocked 2d

GRN-4471 handover to QC

Handover

Done15

TKT-0121Done 3d late

Invoice raised for GDR-10190

Make to release, step 6 of 6

Every ticket has an owner

Workflow tickets land in Task Manager by role. Ad-hoc tickets sit beside them.

The clock is on the card

Overdue, due today and time left show on every ticket, so a delay is visible early.

Handovers are acknowledged

A blocked handover names who it is waiting on until they accept it.

Task performance

Every task counts.
So does the person behind it.

Each task is measured from assignment to close. Good work gets noticed, overdue work gets escalated, and management sees the whole plant without asking for a report.

Measured

Every task, timed from assignment to close.

0%On time

0Closed this month

0.0 hMedian time to close

On time, last 8 weeks

Celebrated

Good work gets noticed.

50 batch reviews,
all on timePriya R. · QA

Line 2 closed every IPQC check on time this month.

Accountable

Overdue work never goes quiet.

AS
Owner · Arjun S.Review EBR B-2279 · due 14:00
JB
Shift lead · Joy B.Notified at 16:00
MK
QA head · Meera K.At 18:00 if still open

Visible to management

The whole plant at a glance.

On time by week	W1	W2	W3	W4	W5	W6	W7	W8
Stores	92	94	90	95	96	93	97	96
Quality control	85	88	82	86	90	91	89	93
Production	90	92	94	91	93	95	94	96
Quality assurance	88	84	87	90	92	89	93	94
Engineering	78	80	76	83	85	82	86	88
Dispatch	95	96	94	97	96	98	97	98

Pillar 03 · AI First

One interface. Five agents.
Meet Prism.

Five specialist agents in one window, open from any page. Each reads the records for its job, shows its sources, and hands the decision back to a person.

01PlannerKnow what is at risk before you promise.02Stores AnalystSpot the lot that will cause trouble.03Compliance CheckerCatch a gap while the batch is still open.04Deviation AnalystInvestigate with the history already read.05Release ReviewerRelease on facts. A person still signs.

NextMore to comeNew agents join the same window.

Privacy

Private by design.
Scoped to your plant.

Prism runs on private models inside your tenant, and sees only what your role allows.

Role-based access

An agent reads only what your role can open, with the same permissions as the rest of Factro.

Stays in your tenant

Questions, records and answers stay inside your tenant. Nothing is sent to an outside AI service.

Fine-tuned local models

The models run in Factro’s private cloud, next to your data, not on a public AI platform.

Scoped to your organisation

Agents answer about your plant, your records and your work. Lunch recipes are politely declined.

Decisions stay with people

Agents do not sign, release or close anything. Every regulated step still needs a person.

Sources with every answer

Each finding links to the records it came from, so it can be checked before anyone acts.

What the agents are built onCompliance score with gap guidanceDeviation history and trendsStructured, AI-ready records

Explore Prism

Before you start

Questions
plants ask us.

Straight answers on rulesets, tasks and what the agents do and do not do.

Talk to our team

Who can change a ruleset?

Only Factro, and only when a governing body changes the regulation. Each change is assessed, validated by our internal team and by external reviewers, and released as a new version. Plants configure their workflows and approvals on top.

What does the Compliance Engine check?

Every submission, approval, event, settings change, alert and deviation, before it is saved. Each check is written to the append-only, hash-chained audit trail with the rule that decided it.

Does our data leave our tenant?

No. The agents run on fine-tuned local models in Factro’s private cloud, scoped to your tenant and your role. Nothing is sent to an outside AI service.

Can a task be closed without meeting a control?

No. Task Manager moves the work. The Compliance Engine decides whether the action is allowed.

What is live today?

The compliance score with guidance on each gap, deviations shown with their history and trends, and structured, AI-ready records across ERP, MES and QMS. Prism AI and its five agents are in development, behind one window.

Will the agents make decisions?

No. Agents draft findings with links to the source records. Regulated decisions stay with people, and the Compliance Engine still enforces every required approval.

Regulatory frameworks shown here are control-mapping references, not product certifications. Applicability depends on your processes, configuration, validation and operating procedures.

Prism AI agents are in development; the compliance score, deviation history and the structured, AI-ready data model are available today. Agent screens on this page illustrate the planned experience using sample records. AI-generated findings need review against source records and your quality procedures.

Make it your workflow

Bring your process.
See all three at work.

Walk through one batch with our team, from the rule that checks it to the task that moves it and the agent that explains it.

Book a walkthrough

Three pillars.One record.

Every action is checked.Before it is saved.