Praxilonby Bellcorp Studio
Context operational intelligence

The operating brain for the physical enterprise.

Praxilon connects your plants, outlets and systems, builds a living model of how your business actually works, and deploys governed AI agents that explain what happened, predict what's next and help your teams act inside your own infrastructure.

  • Runs on-prem or private cloud
  • Human approval on every action
  • Live in weeks
PlantLineMachineBatchSupplierOutletSOPShiftOperational OntologyMonitorInvestigateForecastRecommend
Line 3 scrap +18% root cause found
Illustrative · governed Agent Swarm

Deployed with operators across manufacturing, F&B and healthcare

ManufacturingRetail & F&BHealthcare
The problem

Your business has data. It doesn't have context.

Every plant, outlet and department runs on its own systems. The meaning of the data which machine made which batch, which supplier feeds which line, which SOP applies to which shift lives in people's heads. That is why reports arrive late and AI pilots stall.

Meaning is scattered

ERP, MES, POS, sensors and documents each describe a slice of the business. Nothing connects them into one model.

Data engineering can't keep up

Static schemas and pipelines break every time a product, plant or process changes. The model is outdated before it ships.

AI without context guesses

Copilots on top of raw data give confident answers with no evidence. Operations leaders can't act on that.

Why now

From dashboards to an operating brain.

Dashboards

Tell you what happened, weeks later.

AI copilots

Answer questions, but don't understand your operations.

Operating brain

Understands your business, predicts what's next and acts with your approval.

Praxilon
How it works

Four layers. One brain for your operations.

Connect

Connector agents plug into ERP, MES, SCADA, POS, HRMS, IoT and documents without replacing them.

SAPOracleTallyPetpoojaZohoExcelPLC/SCADAPDFs

Model

A living Operational Ontology maps every entity, relationship, event and rule in your business, governed by your domain experts.

Reason

A governed swarm of specialised agents monitors, investigates, forecasts and recommends every answer backed by evidence.

Act

Approved actions flow back into your systems and workflows, with a full audit trail.

Outcomes and expert feedback make the model smarter.

The core

A model of your business that evolves with it.

Most AI projects fail because nobody defined what the data means. Praxilon builds a domain-driven ontology of your operations your entities, their relationships, the events that change them and the rules that govern them. It updates as your business changes, and your experts stay in control of every definition.

  • Entities machines, batches, outlets, suppliers, staff, SOPs

  • Relationships what feeds what, who owns what, what affects what

  • Events downtime, deliveries, sales, shifts, incidents

  • Rules and KPIs your definitions of OEE, wastage, margin and compliance

Operational OntologyIllustrative example
Press PM-07
Last PM: 41 days agoOEE: 71%
Version 14 · updated 2h ago · approved by Plant Head · Illustrative
The agents

Specialised agents that work like your best operations team.

Each agent has one job, reads from the same ontology, and hands work to the others. Nothing acts without the permissions and approvals you set.

Monitor

Watches every signal and flags exceptions as they happen.

Scrap on Line 3 above threshold

Investigate

Traces root causes across systems and shows the evidence.

Die change + overdue PM-07

Forecast

Predicts demand, downtime, delays and cost overruns.

78% chance of stock-out Saturday

Recommend

Proposes the next best action with its expected impact.

Schedule PM-07 before next run

Execute

Carries out approved actions in your systems.

Work order created · approved by M. Rao

Knowledge

Answers from SOPs, contracts and policies with citations.

SOP-112, section 4.2

Monitor → Investigate → Forecast → Recommend → Approve → Execute → Learn

Illustrative outputs

Ask Praxilon

Ask your operations anything. Get answers you can act on.

Ask Praxilon questions in everyday language and receive answers supported by relevant business information and evidence.

Ask Praxilon
Illustrative example
What will cause us to miss next week's dispatch plan?
3 agents · 4 sources · 11s
The main risks are a late raw-material delivery from Supplier B and a quality hold on Batch #4471 from Press PM-07. Prioritise the maintenance review and confirm an alternative supply before releasing the next run. Any schedule or purchase-order change needs your approval.
Supporting evidence
Dispatch plan + inventory
Batch #4471 is needed next week; material cover is 3 days
Procurement
Supplier B has missed 4 consecutive committed dates
Quality + maintenance
Quality hold follows die change; PM-07 maintenance overdue
Ask anything about your business…
Analytics

Every kind of answer, from one brain.

01

What happened?

Descriptive

02

Why did it happen?

Diagnostic

03

What will happen?

Predictive

04

What should we do?

Prescriptive

05

Do it, with approval

Governed action

Most tools stop at step 1. Praxilon is built for steps 3 to 5.

Why Praxilon

Not another dashboard. Not another chatbot.

CapabilityBI dashboardsGeneric AI copilotsCustom data projectsPraxilon
Understands relationships across systems
Adapts as operations change
Predicts, not just reports
Evidence behind every answer
Takes governed action
Runs in your infrastructure
Time to first valueMonthsDays6–12 monthsWeeks
Sovereign by design

Your data, your model, your infrastructure.

Praxilon runs where your data lives on-premise, private cloud or hybrid. Your ontology and everything the agents learn stay yours.

  • Data ownership
  • Controlled access
  • Tenant isolation
  • Human approvals
  • Auditability
Explore Security
Your infrastructure
On-premise
Private cloud
Enterprise data centre
Hybrid
Getting started

From first connection to working brain in weeks.

  1. 1

    Week 1–2

    Connect

    Connect 3–5 core systems for one site.

  2. 2

    Week 3–5

    Model

    Build and validate the ontology with your domain experts.

  3. 3

    Week 6–8

    Agents live

    Monitor, investigate and forecast agents running on your top questions.

  4. 4

    Week 9+

    Scale

    Add sites, use cases and governed actions.

Give your operations a brain.

Start with one plant, one region or one painful question. We'll connect the data, build the ontology and show you answers in weeks, not quarters.