Manufacturing Solutions — Petrabytes
Solutions / Manufacturing

A proven data foundation,
extended to the plant floor.

Sensor streams, MES/OEE systems, and historian data collected constantly on the plant floor — but rarely connected to enterprise AI or the teams making planning decisions upstream — unified on a governed foundation.

309
Wells analyzed in 3 hours
2.9 TB
Seismic data in 6 hours
30–35%
TCO reduction delivered
Before & After

From plant-floor data nobody upstream can see — to a governed, connected foundation.

Before

  • Sensor and historian data collected constantly, used by almost no one
  • MES/OEE systems that don't connect to enterprise planning or AI
  • Plant floor data siloed from the teams making upstream decisions
  • No governed foundation for AI copilots to draw from

With PIEScale

  • Real-time sensor and historian streams processed at the edge
  • MES/OEE data unified with enterprise systems on one platform
  • One governed namespace across plant floor and enterprise teams
  • MCP servers exposing plant data to any AI assistant
What PIEScale Solves

Three problems that show up across most manufacturing data programs.

01

Real-Time Monitoring & Edge

Sensor, historian, and MES/OEE data streamed and processed at the edge — the same real-time streaming architecture already proven on energy's drilling and SCADA data.

Edge computingReal-time streamingMES/OEE integration
02

Enterprise AI & Copilots

Plant data exposed via MCP servers to any AI-enabled assistant — grounding copilots and agents in governed plant floor data, not a curated demo set.

MCP server configurationAgent deploymentVendor-neutral AI access
03

Cross-Team Collaboration

One governed namespace across plant operations and enterprise planning — so a plant floor signal is visible to the people making upstream decisions.

Shared data namespaceEntitlements & access controlEnterprise integration
ang="en">Manufacturing Solutions — Petrabytes
Solutions / Manufacturing

A proven data foundation,
extended to the plant floor.

Sensor streams, MES/OEE systems, and historian data collected constantly on the plant floor — but rarely connected to enterprise AI or the teams making planning decisions upstream — unified on a governed foundation.

309
Wells analyzed in 3 hours
2.9 TB
Seismic data in 6 hours
30–35%
TCO reduction delivered
Before & After

From plant-floor data nobody upstream can see — to a governed, connected foundation.

Before

  • Sensor and historian data collected constantly, used by almost no one
  • MES/OEE systems that don't connect to enterprise planning or AI
  • Plant floor data siloed from the teams making upstream decisions
  • No governed foundation for AI copilots to draw from

With PIEScale

  • Real-time sensor and historian streams processed at the edge
  • MES/OEE data unified with enterprise systems on one platform
  • One governed namespace across plant floor and enterprise teams
  • MCP servers exposing plant data to any AI assistant
What PIEScale Solves

Three problems that show up across most manufacturing data programs.

01

Subsurface Data Modernization

Legacy well, log, and seismic archives migrated into an OSDU-compliant foundation — with custom schema support for the proprietary formats OSDU alone doesn't cover.

OSDU enablementCustom schema supportZero-downtime migration
02

Real-Time Monitoring & Edge

DTS/DAS, SCADA, and drilling sensor streams processed at the edge via RTSS — Petrabytes' extension of RTDIP, contributed back to the open OSDU standard.

Edge computingReal-time streamingOSDU contribution
03

Reservoir & Production Analytics

Unified well, production, and reservoir data engineers can actually query — geomechanics, flow assurance, and reservoir monitoring on one governed foundation.

GeomechanicsFlow assuranceReservoir monitoring
04

Regulatory & ESG Reporting

Audit trails, entitlements, and lineage built into the platform's five-layer security model — not bolted on after the fact.

Audit trailsEntitlementsData lineage
An honest starting point

Proven in energy, extending to manufacturing.

The foundation

PIEScale's real-time streaming and governance architecture is proven on energy's most demanding operational data — drilling sensors, SCADA, and reservoir monitoring at scale.

The pattern is the same

Manufacturing's sensor streams, MES/OEE systems, and historian data present the same fundamental pattern, which is why the same platform extends cleanly to the plant floor.

Same platform
Same ingestion & governance architecture
Same governance
New domain — manufacturing
PIEScale's real-time streaming is proven in energy. The manufacturing extension runs on the identical architecture.
How We Lead

An honest starting point: proven in energy, extending to manufacturing.

OSDU-native, cloud-agnostic

Fully compatible with OSDU while supporting custom schemas OSDU alone doesn't cover.

Vendor-neutral AI access

MCP servers work with any MCP-enabled assistant — no lock-in to a single AI vendor.

Real-time streaming, proven

The same edge and streaming architecture already handling drilling and SCADA data at scale.

Measurably cheaper to run

30–35% lower total cost of ownership than a traditional split-vendor OSDU deployment.

We say where we're proven

Energy is our track record. Manufacturing is where we're extending it — we won't overclaim otherwise.

Every domain, one platform

Upstream, midstream, downstream, and renewables all served by the same governed foundation.

Where to Go Next

Deploy the platform, or get it delivered.

Deploy PIEScale directly

See the platform itself — the five components, the ingestion and governance framework, and how it applies to your energy data.

Explore PIEScale

Get it delivered

Real-time and streaming integration is often the fastest entry point for manufacturing data programs.

Explore Services
Start With Your Energy Data

Same platform.
Same governance. New domain.

A 30-minute discovery call, grounded in your actual sensor, MES, and historian data.