Email
Inbox intake
Reads the customer email thread, keeps the context, and starts the workflow from the source.
AI engineering agent
Nexis turns manufacturing inquiries into structured work
Nexis reads technical price requests from Gmail, extracts the relevant engineering data, highlights what is missing, prepares model-ready and quotation-ready input, and drafts the customer response for review.
Gmail inquiry intakeRead technical requests and attachments from the inbox before manual copy-paste starts.
Structured engineering dataTurn unstructured emails into reviewable inquiry records, assumptions, and risks.
Quote + response draft preparationPrepare model-ready input, quotation-ready data, and a reply draft for human review.
The problem
Technical inquiries arrive as messy email threads
Before a quote can be created, teams usually need to inspect attachments, extract dimensions, identify missing fields, and turn the email thread into something the rest of the workflow can trust.
What slows the team down
- Emails arrive with incomplete drawings or ambiguous sketches.
- Key fields such as material grade, quantity, and finish are often missing.
- Relevant data gets copied between inboxes, spreadsheets, and internal notes.
What Nexis changes
- It converts the inquiry into a reviewable structured record.
- It highlights missing information before the team starts quoting.
- It keeps the handoff between email, engineering, and response drafting consistent.
The solution
Nexis prepares the work before the human decision
The platform does not try to remove engineering judgment. It prepares the data, flags uncertainty, and gives the team a clean handoff.
Nexis sits between Gmail and the internal workflow. It reads the inquiry, structures the context, and prepares the information needed for engineering review, pricing, and customer communication.
The output is intentionally reviewable: a structured inquiry record, file metadata, workflow events, and a draft response the team can edit before sending.
Workflow
From email to reviewable engineering input
The first version focuses on a stable, inspectable flow that the team can trust.
- 01
Receive the inquiry
Nexis reads the Gmail thread and pulls in the attached PDF, sketch, or technical note.
- 02
Structure the data
The inquiry is normalized into fields, assumptions, missing information, and next actions.
- 03
Validate with a human
An operator confirms the data before the record becomes a production input.
- 04
Prepare engineering work
The system prepares model-ready and quotation-ready input for downstream teams and tools.
- 05
Draft the response
A reply draft is prepared for review so the team can answer faster without skipping control.
Key features
Capabilities that support the inquiry pipeline
Each capability focuses on preparation, traceability, and review instead of blind automation.
Attachments
Attachment interpretation
Helps interpret PDFs, scans, sketches, and other inquiry files so nothing useful is missed.
Data
Structured record
Stores a normalized JSON-based inquiry record that downstream tools can review and reuse.
Review
Missing information detection
Highlights unclear dimensions, missing material data, or risky assumptions before quoting.
Engineering
Model-ready preparation
Prepares the handoff for 3D model generation or manual engineering review.
Quote
Quotation preparation
Organizes the inquiry into a pricing-ready shape with assumptions and manufacturing notes.
Reply
Draft response
Creates a customer reply draft so the team can answer faster without auto-sending anything.
Trace
Reviewability
Keeps workflow events and files traceable so the operator can understand what happened.
Architecture
Connector-based design
Uses workspace packages for Gmail, storage, inquiry data, and runtime configuration.
Human review
Human validation stays part of the workflow
The system can surface missing information, but a person still decides what is safe to quote, what needs clarification, and what should be sent.
Why this matters
Manufacturing inquiries often contain uncertainty. Human review keeps the process safe, controlled, and aligned with the real production constraints.
What gets reviewed
Structured fields, extracted attachments, assumptions, file references, and the resulting draft response can all be checked before anything leaves the team.
Engineering
Model-ready input for downstream technical work
The inquiry is prepared for 3D model generation, geometry review, and technical validation without pretending the system knows every missing detail.
Geometry and constraints
Capture dimensions, material, unknowns, and risky assumptions in a form engineers can inspect.
File traceability
Keep attachments, derived files, and metadata tied to the inquiry so the context does not drift.
Production handoff
Prepare the data for downstream model generation and later stages of the quotation pipeline.
Quotation
Quotation-ready data, not blind pricing
Nexis can prepare the pricing handoff, but the final quotation logic stays under human control.
What is prepared
Material assumptions, labor notes, manufacturing scope, and missing information are gathered into a reviewable quote-ready package.
What is not promised
No automatic final offer is sent without the team reviewing the prepared data and confirming the result.
Customer response
A draft reply is prepared for review
The team gets a response draft that can be edited, corrected, and sent with the proper context.
This reduces repetitive reply writing while keeping the final message under human control. The response can reference missing dimensions, needed clarifications, or the next step in the inquiry process.
Technical foundation
Built on a static-first React stack
The public site is meant to be SEO-ready, fast, and easy to evolve with the codebase.
Vike + React + MDX
SEO-ready static generation with editable content sections and React layout components.
Connector packages
Shared workspace packages keep the inbox, storage, and inquiry pipeline boundaries clear.
Static-first delivery
The landing page is pre-rendered for performance, crawlability, and simple deployment.
Use cases
Who this is for
The website should speak to the teams that already handle manufacturing inquiries manually.
- Sheet metal fabrication teams receiving technical quotes by email.
- Custom workshops that need a structured workflow before estimation begins.
- Technical sales teams that want a calmer inbox-to-quote handoff.
- Engineering teams that need model-ready input before making production decisions.
Next step
Ready to explain the workflow to visitors
This landing page gives Nexis a credible, engineering-oriented public face: clear positioning, clear workflow, and no overpromising.
Use the landing page to explain the workflow, prove the technical foundation, and invite a demo conversation without overpromising automation.