Qevanto Tech

Clear the repetitive inbox work — quotes, RFQs, follow-ups.

AI that reads the requests, drafts the replies, and chases the follow-ups — so your team reviews and sends instead of starting from a blank screen. Built and run by an operator who has done it inside real businesses.

Start a project What we build

Real desks, real numbers

What changes when the inbox clears itself.

~$63K/week

added gross profit

An industrial distributor’s quote desk runs on an assistant that reads inbound RFQs, decodes part numbers, and drafts quotes in minutes — nothing sits in the inbox going cold.

Minutes

not days, to a quote

The back-and-forth that used to take a rep half a day — read, look up, price, write back — collapses into a draft your team just reviews and sends.

Nothing

dropped or forgotten

Every enquiry gets a timely first response and a follow-up if it goes quiet. The leads that used to slip through the cracks stop slipping.

What we build

The inbox work, handled.

No new platform to learn. We automate the highest-volume email work first, wire it into the inbox and tools you already use, and hand it over monitored.

See the detail

RFQ & quote automation

Inbound requests read, parts decoded, and quotes drafted from the inbox you already use — your team reviews and sends instead of starting from scratch.

Inbox & follow-up assistants

First responses, triage, and timed follow-ups handled automatically, so nothing waits on someone remembering to reply.

Document extraction

Invoices, orders, and specs read and turned into structured data your systems can act on — no manual re-typing.

FAQ

Short answers to the usual questions.

How fast can you clear our quote backlog?

A focused RFQ or inbox assistant goes live in two to four weeks. Week one is scoping and access; weeks two and three are build and testing on your real enquiries; week four is rollout and handover.

Does it send to customers on its own?

Only if you want it to. By default it drafts and your team reviews before anything goes out — you keep the last word until you trust it enough to let it run.

Will it misread a tricky request?

It works from grounded sources, flags low-confidence cases instead of guessing, and routes anything ambiguous to a human. We test on your real inbox before launch and monitor after.

Tell us what is clogging the inbox.

A short call is enough to see where an RFQ or inbox assistant fits and how fast it pays back.

Start a project See what we build