Manufacturing

Manufacturing software and data that make production visible, predictable and connected.

Manufacturers hold more operational data than almost any other industry and use less of it. We build the data platforms, integrations and analytics that turn machine, quality and supply chain data into decisions.

Let's Talk What we build
standards we design for
5
  • ISO 9001 quality processes
  • ITAR and EAR for defense suppliers
  • SOC 2
  • NIST SP 800-171 for federal supply chains
  • IEC 62443 security principles for connected systems
Design targets we build to, confirmed with your compliance team.
Challenges

What manufacturers are up against

Unplanned downtime

Equipment fails without warning because sensor and maintenance data are collected but never analyzed together.

Quality issues found too late

Defects are caught at final inspection or by the customer, when the data to predict them existed at the process step that caused them.

MES, ERP and PLM that do not connect

Production, planning and engineering systems hold different versions of the same part, order and schedule, and reconciling them is a full-time job.

No visibility beyond the plant

Supplier delays, inventory positions and logistics status arrive by email and spreadsheet, too late to act on.

Aging systems and retiring expertise

Legacy applications and the people who understand them are both nearing end of life, and documentation is thin.

Solutions

What we build for manufacturers.

Manufacturing software and data consulting: predictive maintenance, quality analytics, MES and ERP integration, supply chain visibility and cloud modernization. Organized by practice.

AI & Data

See these services
  • Predictive maintenance models on equipment and sensor data
  • Quality analytics that trace defects to process variables
  • Digital twins of production lines for planning and simulation
  • Demand and capacity forecasting across plants

Digital Product Engineering

See these services
  • MES, ERP and PLM integration through APIs and events
  • Production dashboards and operator applications
  • Supplier and customer portals for orders, specs and status
  • Connected product and service applications

Cloud & Modernization

See these services
  • Industrial data platforms for time-series, quality and maintenance data
  • Modernization of legacy plant and enterprise applications
  • Hybrid cloud architecture that respects plant network constraints
  • Managed cloud operations for multi-site environments

Technology Talent Solutions

See these services
  • Data engineers and analysts with industrial data experience
  • Integration engineers for MES, ERP and PLM
  • Dedicated teams for digital transformation programs
Questions

Frequently asked questions

Do you install sensors or plant-floor hardware?

No. We work on the software and data side: collecting data from the systems and historians you already have, integrating it, and building the analytics and applications on top. We coordinate with your automation and OT vendors where hardware is involved.

Can predictive maintenance work with our existing data?

Usually, with preparation. We assess what sensor, maintenance and failure history you have, build a baseline against your current maintenance schedule, and only recommend models that would have prevented real failures in your history.

How do you integrate MES and ERP?

Through APIs and event-driven integration that keep orders, materials, schedules and quality records consistent between systems, with clear ownership of each data element so the same part is not defined three ways.

Our plant network is isolated. Can you still work with us?

Yes. We design hybrid architectures that move data out of plant networks through controlled, one-way paths and keep cloud workloads separate from operational systems, following IEC 62443 principles.

Insights

Related insights

All insights
Manufacturing

MES and ERP integration: patterns, standards and pitfalls

MES and ERP integration works when each data object has one owner and one agreed exchange. This guide covers ISA-95, four integration patterns and the pitfalls that cause rework.

Nov 12, 20265 min read
Manufacturing

Predictive maintenance data requirements and how to start

Predictive maintenance needs four kinds of data, and most plants already hold two of them. Here is what to collect, how much history is enough, and a six-step way to…

Nov 12, 20265 min read
AI & Data

AI agents vs workflow automation: when each one fits

Workflow automation follows steps you define. An AI agent chooses its own steps. Here is how the two differ on cost, predictability and risk, and how to decide for a…

Nov 12, 20265 min read

Other industries

Financial Services & Insurance

Modern platforms for banks, lenders, fintechs and insurers.
Overview

Margins are tightening, regulators are watching AI closely, and customers expect every interaction to be instant. We help you move faster without adding risk.

Standards we design for
PCI DSS SOC 2 GLBA SR 26-2 model risk guidance NAIC AI model bulletin State insurance regulations
Open Financial Services
What we build
  • AI & Data: Document intelligence for underwriting and claims intake
  • Digital Product Engineering: Customer onboarding and KYC journeys
  • Cloud & Modernization: Core system modernization in phases, not big-bang rewrites
  • Technology Talent Solutions: Engineers with payments, lending and insurance platform experience

Healthcare & Life Sciences

Technology that lets clinicians, payers and researchers move faster under HIPAA.
Overview

Providers, payers, digital health companies and life sciences firms carry the same burden: data trapped in systems that do not interoperate, staff buried in administrative work, and regulators that expect every change to be validated. We build and modernize within those constraints.

Standards we design for
HIPAA HITECH FDA 21 CFR Part 11 HL7 FHIR SOC 2
Open Healthcare
What we build
  • AI & Data: Clinical and claims data platforms with patient matching and HL7 FHIR ingestion
  • Digital Product Engineering: Patient and member portals and mobile apps
  • Cloud & Modernization: HIPAA-aligned cloud landing zones with encryption, logging and access controls
  • Technology Talent Solutions: Engineers with EHR, HL7 FHIR and healthcare integration experience

Retail & Consumer Goods

Retail commerce platforms and data that keep pace with your customers.
Overview

Retailers and consumer brands compete on experience, availability and margin at the same time. We build the commerce, integration and forecasting systems that let you do all three.

Standards we design for
PCI DSS SOC 2 CCPA and state privacy laws WCAG accessibility GDPR
Open Retail
What we build
  • AI & Data: Demand forecasting and inventory optimization models
  • Digital Product Engineering: Composable commerce and headless storefronts
  • Cloud & Modernization: Replatforming legacy e-commerce to scalable cloud architectures
  • Technology Talent Solutions: Engineers with commerce platform and integration experience

Software & High-Tech

Engineering capacity for SaaS and technology companies that need to ship.
Overview

Your product is the business. We extend your engineering team, scale your platform and build the AI features your customers are asking for, without slowing your release cadence.

Standards we design for
SOC 2 ISO 27001 GDPR CCPA HIPAA
Open Software & High-Tech
What we build
  • AI & Data: AI feature development with evaluation suites and cost monitoring
  • Digital Product Engineering: Team extension for product and platform teams
  • Cloud & Modernization: Platform engineering and CI/CD for faster, safer releases
  • Technology Talent Solutions: Senior full-stack, backend and platform engineers

Logistics & Supply Chain

Logistics visibility, optimization and automation for the systems that move goods.
Overview

Carriers, 3PLs, freight forwarders and shippers run on thin margins and tight windows. We build the platforms that show where everything is, pick the best route and load, and take paperwork off your team.

Standards we design for
SOC 2 C-TPAT program requirements FMCSA data and hours-of-service rules PCI DSS GDPR
Open Logistics
What we build
  • AI & Data: Route and load optimization models
  • Digital Product Engineering: Shipment visibility platforms and customer tracking portals
  • Cloud & Modernization: Modernization of legacy TMS and WMS applications
  • Technology Talent Solutions: Integration engineers with WMS, TMS and EDI experience

Tell us what you are trying to build.

Tell us about the systems, the data and the rules you work under. We will tell you what is realistic.

Let's Talk How we work