One process change. Every plant-wide consequence.
Move through the production facility. See how one assumption propagates from feed and reactor to material balances, capacity, cost and impact.
From a process question to a defensible plant decision.
- 01 · ProblemWhat must the team decide?
Scale-up feasibility, facility capacity, route selection, COGS, LCA or technology transfer.
- 02 · InputsWhat do you enter?
Product, process route, scale, operating mode, equipment, streams, measured data and cost or impact factors.
- 03 · ModelWhat does AXOTLAS calculate?
Flowsheet, balances, dynamics, physical limits, equipment demand, schedule and uncertainty.
- 04 · DecisionWhat do you receive?
TEA and LCA results, sensitivity, bottlenecks, evidence gaps and a decision-readiness status.
Open an actual process model before signing in.
This is a current capture from AXOTLAS's Flowsheet Studio, not an illustrative diagram. Inspect the real equipment library, connection workflow, boundary streams and routed process graph.
Published engineering evidence
Inspect a complete model run before trusting the platform.
AX-REF-MAB-FB-001 is a synthetic 2,000 L CHO fed-batch benchmark with versioned assumptions, 169 reported states, sensitivity runs, explicit acceptance criteria and checksummed source artifacts. Open the reproducible reference implementation- Numerical balance residual
- 2.67 × 10−7%
- Acceptance criteria
- 7 / 7 passed
- Automated product tests
- 88 passed
- Published dynamic states
- 169 points
- Model class
- Synthetic benchmark
- Integrity
- SHA-256 manifest
One technical system for the teams responsible for scale-up.
AXOTLAS is for engineering teams that need traceable calculations and complete plant context, not another disconnected dashboard.Process development + MSAT
Compare batch, fed-batch, perfusion and continuous routes. Test kinetics, feeds, oxygen transfer, recovery and scale-up limits.
Decisions: operating mode, design space, transfer strategy.Manufacturing + plant engineering
Plan campaigns, equipment reuse, CIP/SIP, utilities, operators, bottlenecks, heat recovery and facility fit.
Decisions: capacity, debottlenecking, expansion timing.TEA + LCA + investment teams
Quantify materials, media, COGS, CAPEX, water, energy, emissions, uncertainty, NPV and sensitivity.
Decisions: route selection, investment case, sustainability.Start with one decision and predefined acceptance criteria.
The initial engagement is deliberately narrow. Prove model fidelity and workflow value before expanding access.- 01 · Define
Freeze the question and baseline
Select one customer-owned process, decision, data package and measurable acceptance tolerance.
- 02 · Reconcile
Build and challenge the model
Close balances, reproduce equipment duty and schedule behavior, then explain every material difference.
- 03 · Decide
Review results and expand deliberately
Compare scenario speed, traceability and decision quality before adding teams, sites or live data.
Technical pilot