Fetch Technologies

2041 Rosecrans Ave, Suite 245
El Segundo, CA 90245
http://www.fetch.com
50 Employees

SBIR Award Summary

Total Number of Awards 35
Total Value of Awards $11.7MM
First Award Date 01/01/01
Most Recent Award Date 09/21/11

Key Personnel

Last Name Name Awards Contact
Macsassy Dr. Sofus A. Macsassy 1
Barish Dr. Greg Barish 4 Message
Minton Dr. Steven Minton 20 Message
Ratnathicam Mr. Jeeva Ratnathicam 1 Message
Minton Mrs. Bernadette Minton 1 Message
Pelz Mr. Bryan Pelz 1 Message
Macskassy Sofus Attila Macskassy 8
Battenburg Mr. Scott Battenburg 3
Michelson Matt Michelson 1
Eliyahu Danny Eliyahu 2 Message

35 Awards Won

Phase 2 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB101-005
Budget: 09/21/11 - 09/20/13

The goal in this project is to develop GroupPulse, a system that enables decision-makers to gain insights from online communities. To do this, the system will monitor one or more social media streams, identify and track groups and sub-communities, and provide realtime analysis of group dynamics and topics. While current technologies can addres...

Phase 2 SBIR

Agency: Air Force
Topic: AF093-042
Budget: 04/21/11 - 04/20/13

ABSTRACT: The ultimate aim of this project is to enable better entity-oriented situation awareness systems to be developed. Such systems should enable operators to rapidly connect the dots and allow them to track entities of interest. In this Phase II project we will implement an approach for collecting information about entities from multip...

Phase 2 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB082-032
Budget: 01/10/11 - 01/09/13

In this project, we are developing an approach for identifying and exposing the latent semantics within a folksonomy, which will enable a new class of data integration applications. We have previously developed software enabling non-programmers to create web feeds, and an Intelligence Portal system for displaying that data in an integrated vi...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD10-HS6
Budget: 11/05/10 - 05/05/11

Here we propose to develop technologies which automatically generates a social network by analyzing incoming data feeds, integrating the data around the entities and (semi-)automatically generate the relations between the entities. Because the saliency of a network is critical for important intelligence products where people are on the line, we...

Phase 2 SBIR

Agency: Air Force
Topic: AF083-036
Budget: 09/20/10 - 09/20/12

In this project Fetch Technologies will implement and evaluate a new approach to transforming and normalizing data from multiple heterogeneous sources. In previous work, Fetch Technologies developed and successfully commercialized a system for creating transformation pipelines . In a transformation pipeline, a new source (with its own unique...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB101-005
Budget: 05/14/10 - 04/27/11

The past decade has seen an explosion in online social media, such as blogs, forums, twitter, and so forth. This online information can give us insights into groups and communities--what are their "hot button" issues, how are they responding to current events, and how are they likely to react in the future. With the advance and proliferation o...

Phase 1 SBIR

Agency: Air Force
Topic: AF093-042
Budget: 03/09/10 - 12/09/10

The ultimate aim of this project is to enable better entity-oriented situation awareness systems to be developed. Such systems should enable operators to rapidly connect the dots and allow them to track entities of interest. In this Phase I project we will design an approach for collecting information about entities from multiple heterogeneo...

Phase 1 SBIR

Agency: Office of the Secretary of Defense
Topic: OSD09-SP7
Budget: 01/05/10 - 07/05/10

Abstract

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB091-003
Budget: 08/06/09 - 03/31/10

To alleviate some of the more difficult and tedious tasks in collaboratively constructing information sources (e.g. Wikipedia), we propose Assistopedia, a mixed-initiative content collaboration system for building social networks. Assistopedia allows distributed human users and information agents to collectively construct social networks of spe...

Phase 2 SBIR

Agency: Air Force
Topic: AF073-031
Budget: 02/17/09 - 05/16/11

Machine Learning has proven to be a useful approach for developing entity consolidation systems that can be tuned to a particular domain. However, the accuracy of learning algorithms often suffers in applications where there are special cases that learning algorithms systematically misclassify. To address this, we propose a new twist to the mac...

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