Improve frontline decisions
Give sales, engineering, procurement, production, and operations teams intelligence grounded in current specifications, historical outcomes, constraints, and expert knowledge.
Use Cases · Manufacturing
The context behind everyday manufacturing decisions.
Quote, plan and produce with your whole operation’s know-how.
Connect knowledge across teams, systems, sites, and partners so people can make faster decisions without losing control of sensitive operational data.
Supported by
Venture programme
Incubator
Incubator
Innovation programme
University programme
University programme
What changes
Better decisions, across your operation.
See across distributed operations
Create management-level visibility across factories, sites, assets, outlets, or portfolio companies while preserving operational boundaries.
Collaborate without exposing everything
Allow different teams, companies, suppliers, and partners to contribute to shared intelligence while controlling what each participant can access and how their information may be used.
How it works
Build your intelligence foundation around a problem that already matters.
Start with one manufacturing workflow. Build on what you learn there.
Connect
Bring together the documents, systems and conversations relevant to your first workflow.
Synthesise
Spectrea connects requirements, decisions, history and constraints, updating that understanding as information and people add context.
Deploy
Use that context through the assistant, recommendations and workflows to support the next decision.
Expand
Build on the same foundation as you add new workflows, teams and sites.
Workflows
Built around the decisions you make every day.
RFQ to quote
What should go into this quote?
Connect requirements, drawings, similar jobs, quotations, product data, and pricing history.
Technical decisions
Could this alternative work?
Identify compatible parts, substitutions, technical constraints, and past approved exceptions.
Procurement & production
What can we make, and when?
Connect demand, stock, supplier terms, lead times, minimum order quantities, shortages, capacity, and production requirements.
Quality & lessons learned
Have we solved this before?
Surface recurring defects, corrective actions, process exceptions, maintenance knowledge, compliance requirements, and lessons from previous incidents.
Your manufacturing environment
For the way you make things.
Pick your environment. The same foundation underneath, shaped to the way each one quotes, plans and produces.
Precision & custom manufacturing, 1 of 4
FAQ
Common questions from manufacturers.
How can AI be used in manufacturing?
Spectrea connects quotations, specifications, drawings and past jobs to support manufacturing decisions. Its focus is operational knowledge rather than machine monitoring.
For a new enquiry, compare similar work and previous quotations, spot missing specifications and bring the relevant context to an expert.
How is Spectrea different from ChatGPT or other AI chatbots?
A general chatbot answers from its training and whatever you paste into the conversation. It does not know which of your company's information is current, authoritative, or appropriate for a given employee to see.
Spectrea is a composable intelligence platform: it builds a governed layer around your own operational knowledge, preserving sources, relationships, permissions, history, and the places where two sources disagree.
People get answers with the company context attached, can check where each claim came from, and can bring the right colleagues into the decisions that matter.
Why do we need Spectrea if we already have an ERP, CRM, or PLM system?
Spectrea complements your ERP, CRM and PLM systems. They remain the systems of record for customers, orders, stock, products and production.
A past quotation, its technical reasoning and the customer outcome may live in different places. Spectrea brings that context together across your systems, documents and team knowledge.
Can Spectrea connect to our existing manufacturing systems and documents?
Yes. Start with one workflow and the documents it needs, such as quotations, specifications, drawings and spreadsheets.
ERP, CRM and PLM information comes in through exports and MCP tool connections. Named connectors remain on the roadmap.
Expand the sources over time without replacing your existing systems.
Is our manufacturing data secure when using AI?
Yes, and the mechanism is checkable. Spectrea is built around governed access: what each person can see is restricted by role and source permissions, enforced in the database, and the assistant is held to the same rule.
Confidential information never has to travel through an uncontrolled public AI tool to be useful. Drawings, customer records, pricing, and supplier terms stay visible only to authorized people, and every answer keeps its source attribution, so you can audit what supported it.
Consequential recommendations stay subject to human review: you decide what runs on its own and what checks with you first.
More detail: the full security posture and how sources come in.
Early access
Bring the whole operation into view.
Start with a quotation, a planning decision or a challenge across sites. Let’s explore where Spectrea fits.
Prefer a walkthrough first?Contact us