Supplier data is scattered
Product listings, PDFs, images, quotes, chats, and contracts rarely live in one clean system.
About Aliksa
We are building the AI sourcing agent for importers, operators, and product teams.
Aliksa exists for the messy middle of sourcing: unclear product specs, scattered supplier replies, quote math, trade documents, cost checks, and follow-up.
7
core sourcing stages
19
document languages
30+
currency workflows
Our mission
Make global sourcing feel searchable, comparable, and operationally clear. Teams should be able to ask one good question and move from product idea to supplier decision with the right evidence attached.
Why sourcing feels broken
Trade math arrives too late
Currency, duty, freight, MOQ, and lead-time decisions often happen after the team is already deep in a supplier thread.
Follow-up is invisible
RFQs, document reviews, quote changes, and shipment milestones get lost across tabs and spreadsheets.
About Aliksa
What Aliksa automates
First-pass product sourcing
The bot turns a product brief into supplier candidates, specs, and next questions.
Supplier comparison
Quotes and product options become structured tables with price, MOQ, terms, and lead-time context.
Document intelligence
Catalogs, contracts, OCR, PDFs, and translations become searchable sourcing evidence.
Trade operations
RFQs, HS code checks, landed cost, shipment tracking, and team notes stay connected.
AI with operator instincts
The product should act like a careful sourcing assistant, not a generic text generator.
Real tools, not decoration
Every public promise maps back to a real Aliksa workflow: search, compare, document, calculate, or track.
Calm execution
The best sourcing system reduces uncertainty without hiding the details teams need to trust.