A Hybrid Execution System for Pharmaceutical Manufacturing

AIM is an operational platform that brings decision intelligence to every trade-off on your floor. It works alongside your planners: surfacing hidden capacity, calculating impact, and recommending how to act. Every production environment is modeled on its own terms, so what comes back is capacity you can actually use.

Five reasons your plant feels maxed out, but isn't

  1. 01
    The floor moves faster than what's trackedEquipment bookings, shift assignments, and batch order shift hour by hour on the floor. What's written down doesn't keep up. By midweek, whoever's tracking it is describing what already happened instead of directing what happens next.
  2. 02
    Every disruption means rebuilding the puzzle by handA blocked line, a late release, an operator out sick, and the week has to be rearranged around it. Whoever's doing that rearranging is running a 20-hour Tetris puzzle in their head, with no way to see if the piece they just moved broke something three days out.
  3. 03
    Every team sees a different picture of the same floorFabrication, packaging, QA, and the lab each work from their own version of what's happening. Alignment happens in a meeting, and lasts until the next deviation.
  4. 04
    Nothing shows the capacity you already haveSuite time, equipment windows, and operator hours go unused because nothing compares them against what's actually possible. Utilization looks fine on paper while real hours disappear.
  5. 05
    The cost shows up in numbers no one connects back to the causeOTIF slips. Margin erodes on the batches that got rushed. Schedule adherence quietly drops. By the time it hits a monthly report, no one can trace it back to the shift where the real damage happened.

Engineered to unlock capacity & efficiency

At the core of AIM is a proprietary physics-based scheduling engine, paired with agentic AI. Together, they're built to do one thing: unlock the capacity your plant already has and keep it running at that level.

That combination is what drives the outcomes that matter to your operation: higher OEE, tighter schedule adherence, and the stability to absorb disruption without losing a shift.

The decision intelligence for every trade-off on your GMP production floor

Cleaning windows, changeovers, labor, hold times, campaign commitments, service level, margin, and work in progress: AIM's pharmaceutical production scheduling software calculates the impact across all of it at once, so your planner sees the full picture before anything changes.

Cleaning validation windows

Changeover sequencing

Labor & certification availability

Clean & dirty hold times

Multi-day campaign & equipment commitments

QA release & lab turnaround

Different sites optimize for something different

AIM weighs your constraint model against whichever of these your site is actually optimizing for, and shows the trade-off before your planner commits to it.

Service level / OTIFMarginWork-in-progressAsset utilization

The hybrid execution layer between your ERP & your equipment

Your ERP knows what needs to get made. Your equipment knows what's happening right now. Almost nothing owns the layer in between. That's where AIM operates as the hybrid execution layer that turns intent into action on your floor.

ERP & Planning
Demand, orders, and long-range capacity
What needs to get made, eventually.
AIM
Operational decisions, calculated and ready
Which machine runs, what batch takes priority, and on what shift, once your planner decides, managed through scheduling flexibility.
Equipment & MES
Machines, operators, real execution
What's actually happening on the floor right now.

AIM connects to your infrastructure

And it does so regardless of where you are in your digital transformation journey. Whether everything runs on a spreadsheet today, on a few legacy tools on their way out, or on a full enterprise suite, AIM becomes the hybrid execution layer that reflects your site's decision logic; built to adapt to your data, not the other way around.

AIM
MES
ERP
LIMS
Historians
Excel / Manual Logs
QMS

You already have more capacity than you think

01
Find the capacity

Surfaces the hidden capacity your plant already has.

02
Activate it on the line

Unlocks that capacity on the line through flexible, managed scheduling.

03
Hold it through disruption

Monitors in real time and turns disruption into recovered capacity.

Built across every modality

Our models work on every modality your site runs, sterile injectables, biologics, oral solid dose, and beyond, each with its own constraint logic, inside one core engine.

Sterile Injectables

Oral Solid Dosage

Biologics & CGT

API & Bulk

Non-Sterile Liquids

Veterinary

AIM plans packaging in the same flow as production

Most GMP scheduling software stops at the primary production step. AIM's constraint model covers what happens after it too: packaging and labeling lines, wherever they share equipment or timing with production, in the same plan.

Production and packaging on one timelineTwo lanes on a single timeline. Production above, with compression, coating, and QA release. Packaging below, with blister and cartoning. A dashed line runs between the two, at the point most scheduling tools stop. One arrow crosses it, from QA release into blister, because the packaging line cannot start until the batch is released.ProductionCompressionCoatingQA releaseBlisterCartoningPackaging

FAQ

Where does AIM fit in our system stack?
AIM sits between your ERP, QMS, LIMS, your equipment and MES. It’s the layer that turns long-range demand and productive capacity into a plan your floor can actually run. It doesn't replace either system, it fills the gap none are built to operate in detail.
What systems do you integrate with, and how?
AIM is built to work with what you already have, MES, ERP, LIMS, APS, or even spreadsheets running your MRP if this is your source of truth. Rather than asking you to conform to AIM, we adapt the model to your data.
How long does implementation take, and what does it need from us?
Because every site and team is different, our typical engagements start with a discovery phase, a fixed-scope step where we map your site's ecosystem together. It's designed to answer one question: what can your plant (or network) actually produce, before either side commits to anything bigger. We target a non-disruptive time-to-value worth the ROI.
How is it validated or qualified for a GMP environment?
AIM doesn't touch your validated systems or batch records, so it sits outside your GMP validation scope rather than adding to it. It is a recommendation system, your planners and operators are the final judgment gate which we do not automate away (for good reasons).
How does it handle real-time disruptions?
AIM monitors in real time and recommends the recovery path the moment a deviation hits, so your planner has all the information it needs to decide fast.
What is the typical ROI for this solution?
Payback is usually framed around the capacity unlocked without CapEx. Expect a payback model built during Discovery using your actual data, reviewed with you before any further commitment.
How is AI used across the AIM platform?
AIM combines our proprietary advanced algorithmic engine with agentic AI to operationalize your capacity, calculate trade-offs, service level, margin, work-in-progress inventory levels, and recommend a course of action. Your planner always makes the call and we don’t take away judgment.
How do you stop firefighting and last-minute rescheduling in pharmaceutical manufacturing?
Firefighting happens because the schedule can't absorb change, one QA hold or delay forces a manual rebuild of the whole week. AIM monitors for disruptions in real time and recommends a re-optimized plan built on your real constraints, so your planner acts in minutes instead of rebuilding from scratch.
How does AIM improve OTIF (on-time, in-full)?
OTIF misses in GMP pharmaceutical manufacturing usually come from an unstable production schedule, and a fresh demand forecast rarely fixes that. AIM keeps the short-term production schedule feasible and current, so the last-minute rescheduling that causes batches to run late or incomplete drops away. Committed delivery windows, batch release timing, and campaign sequencing all stay realistic, which is what actually moves OTIF for CDMOs and integrated pharma sites running sterile injectables, OSD, or biologics.

Your lines are running. But are they running right?

Find capacity