Forward-deployed AI for industrials
Your people empowered by AI
We turn the promise of AI into measurable returns for industrial processes and the physical economy.
AI agents that run in production, inside your own environment.
We close the gap between engineering design and execution. You reap the dividends.
A secure platform and applied AI engineers who turn your people into agent builders, and build the complex ones with them.
- Manufacturing
- Engineering
- Built environment
- Energy
- Aerospace & Defense
- Mining
- Infrastructure
- Manufacturing
- Engineering
- Built environment
- Energy
- Aerospace & Defense
- Mining
- Infrastructure
- Logistics
- Financial services
- Healthcare and life sciences
- Professional services and consulting
- Technology
- Public sector
planning time
blast analysis
production
enterprise API access
of your data
business systems
Close to the atoms.
Where the work connects.
We work in manufacturing, energy, mining, infrastructure, and aerospace. Enterprises that design real assets, procure components, run complex processes, and build physical products, where the data is in furnace charts, maintenance logs, and calibration records, not in spreadsheets.
We work with enterprises where getting things done means connecting systems, knowledge and teams. Where reporting, investigations and everyday decisions depend on information that no single system holds. These are recurring, valuable workflows, and making them work better takes more than access to AI.
We connect agents to the systems and information your people rely on, with the permissions, governance and delivery support to put them to work. Start with an important workflow. Make it useful, make it reliable, then extend what works across the business. The value is not simply in how many people use AI. It is in what they can get done.
The answer to the gap between desired outcome and realized results is almost certainly already in your records. You could derive insights, but expert time is in short supply. Ten years of maintenance history. Thousands of closed work orders. Equipment logs no one has read since the last turnaround. We surface patterns and answers in hours.
What changes
New things become possible.
Your engineers never had time to research ten years of closed work orders. The agent does it for them within minutes.
Maintenance
A reliability engineer finds the real cause of a recurring failure, because the agent read ten years of work orders and saw the notes saying misalignment where the cause code said seal.
Design
A project team learns about a supply constraint at design stage, before it becomes a site problem, because the agent is reading procurement signals that no planner had time to monitor.
Materials
A materials engineer optimizes a recipe across three plants at once, predicting the strength of the result before a batch is mixed, not after.
These are not things your team was doing slowly. They were not being done at all.
What you control
Control stays with you.
Which model runs each task, what it costs, and where AI is being used across the business. All three stay visible, and all three stay yours to decide.
Flexibility without vendor lock‑in
Choose and compare the most appropriate model for each task, then standardize the right model for an agent or user group.
Cost-aware AI delivery
Balance model performance and cost instead of defaulting every workload to one provider, model or license structure.
One governed view
See where AI is used, what it costs and the value it delivers across agents, teams and use cases.
Every one of these is a decision, and every one of them stays yours.
One solution.
Two things turn AI into a business outcome: a secure platform in your environment, and the engineers who help put it to work.
A secure platform
In your environment
- Stays inside your organizationData, compute, storage and networking remain within your environment.
- Existing identity controlsAccess can be governed through your own Azure AD or Entra security groups and role-based permissions.
- Zero data retentionYour data never trains a model. Every call is transient. Nothing is retained.
- Server-side governed agentsAgents run inside your environment, not a vendor cloud and not a shared server.
- Full auditabilitySee where AI is used, what it costs and the value it delivers across agents, teams and use cases.
- Enterprise security standardsFull audit logs, monitoring, access and permissions control, and credential security.
Forward-deployed engineers
From pilot to production
- We arrive with the platform builtYour team starts with a working foundation: the full Amplify environment and its core capabilities.
- Methods that compoundInterviews and accelerator sessions turn business goals into a prioritized agent roadmap, and each implementation becomes the foundation for the next.
- Actual delivery, not just adviceWe work with your stakeholders to shape workflows, support custom agent building, and deliver production-grade agents.
- We create agent buildersThe harness was built by forward-deployed engineers for the people who build agents. We train your team on it and grow that bench inside your business.
- Define the value before we buildWe assess the return together before delivery starts, from time saved, cost reduced or capacity gained, and agree what success looks like and how it gets measured.
- A human stays in the loopWe agree where agents can act, where people review and where approval is required, with clear ownership and oversight built into each workflow.
Proven in production
Built from experience.
Three years building and deploying this platform inside industrial operationsenterprise operations.
Results on a process.
Production planning and scheduling
87% less planning time · 20 to 30% setup savings
Delivery-aware two-week schedules, with batching and setup optimized, and fast replanning when people or materials fall through.
Material mix optimization
80% shorter recipe cycles · 12% average carbon dioxide reduction
Recipes optimized for material properties, cost and composition, with standards compliance enforced as a constraint rather than checked afterwards.
Material strength optimization
75% cycle reduction
Multi-plant recipe optimization that predicts the strength of the result and forecasts cost and composition before a batch is mixed.
Drill and blast
85% time reduction · 95% accuracy
Fragmentation analysis straight from blast photographs, with particle-size metrics and recommendations written up for the site team.
Production planning and scheduling
87% less planning time · 20 to 30% setup savings
Delivery-aware two-week schedules, with batching and setup optimized, and fast replanning when people or materials fall through.
Contract and payment review
85% reduction in review time
Extracting commercial terms, benchmarking rate cards and identifying price or payment-term leakage across fragmented agreements.
Logistics pricing review
$4.2m+ exposure identified per review cycle
Detecting and quantifying pricing anomalies, then creating executive-ready outputs for investigation and action.
Group forecasting
90% less preparation time
Retrieving and reconciling source data, then producing Base, Downside and Upside scenarios across multiple entities.
Working with a select group of partners to turn the promise of AI into measurable returns inside the physical economy.
Working with select partners to turn the promise of AI into measurable returns inside the enterprise.
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