The Farevix platform · In design
We are designing AI-native software that connects knowledge, decisions and action. Starting with the way manufacturers configure, price and quote complex products.
Our flagship focus
Product options, engineering rules and commercial decisions belong together. Our first product is being designed to bring them into one guided workflow.
Help shape the first workflowTranslate requirements into product choices, checked against defined engineering rules.
Bring cost, pricing policy and margin considerations into the decision.
Prepare a consistent proposal with the context a reviewer needs to approve it.
Design direction. Features and availability will be defined through product development.
Architecture vision
One proposed foundation for the applications and agents we plan to build.
Products, rules, costs and documents, linked to their sources.
Product model, linked to options, rules, materials, bills of materials, costs and documents.
Language models interpret intent. Explicit constraints check proposed results.
Focused experiences for commercial, engineering and operations teams.
Agents prepare the next step. People approve at defined gates.
The broader platform
Five connected areas of exploration beyond our first configuration and quoting workflow.
02 / AI agents
We are designing agents to interpret requests, gather context and prepare the next step. Defined permissions and review points will keep consequential decisions with your team.
From a customer request to a configuration ready for engineering review.
03 / Enterprise automation
Our automation design connects commercial, engineering and operations workflows, with explicit rules for handoffs, exceptions and approvals.
From an approved quote to the information needed to prepare an order.
04 / AI search and knowledge
We are exploring search across product documents, engineering rules and business data. Answers should retain their sources and respect the permissions of the person asking.
Find the source behind a material choice, a pricing rule or a product revision.
05 / Analytics and decision intelligence
We are designing decision tools to bring cost, margin and lead time into the same view, so teams can compare options and see the assumptions behind a recommendation.
Compare a configuration change against its commercial and production implications.
06 / Enterprise integrations
Our integration approach starts with existing systems of record, documents and product data. Connection priorities will be shaped by the workflows we scope with design partners.
Bring product and pricing context together without duplicating the source of truth.
Enterprise design principles
These principles guide the design. Specific security controls, deployment options and operating commitments will be agreed before any pilot.
Designing access boundaries and approval gates around the work an agent is allowed to do.
Designing traceability from a recommendation back to its data, rules and human decisions.
Evaluating identity, isolation, audit and deployment requirements with prospective partners.
We are seeking design partners to help define the product around real enterprise requirements.