TO READ THIS STORY - you must have a paid subscription to Technology Review OR you can purchase special archive reading credits here. Choose from these great offers below.

I'm a paid subscriber please
log me in

I want to purchase this article for
only $1.99
(requires login)

I want to purchase five articles for
only $7.99
(requires login)

I want to buy
1 Year TOTAL Access for
only $24.95
(requires login)

Please note: Click here if you are currently a Technology Review print or digital subscriber and do not have access to this article.

Click here if you are an MIT alum and do not have access to this article.

March/April 2008

Bidding for Interest Rates

NeoSaej's algorithms could change the rules of online auctioning.

By Erica Naone

Ray Stata, Priti Chatter, Rohit Goyal, and Mukesh Chatter
Credit: Christopher Churchill

NeoSaej of Burlington, MA, has developed a novel online auction strategy that it says should produce better interest rates for bank depositors. Its proprietary algorithms allow online vendors to engage in sophisticated behind-the-scenes bidding against each other before their offers are presented to customers.

Select from the choices above
to read the entire article.

Customer Service

Magazine Services

•	Subscription FAQ
•	Pay Your Bill
•	Renew Your Subscription
•	Change Your Address
•	Check Your Start/Expire Issue
•	Feedback
•	Buy a Back Issue
•	Permissions/Reprints
•	Cancel Your Subscription
•	Digital Subscription Customer Service