101 - 250 employees
Private Equity
Big Data & Analytics
Enterprise Software / SaaS
FinTech & Payments

Basis Technology Company Overview

We engineer a safer & more productive world by building proven AI solutions for analyzing text, connecting data silos, & discovering digital evidence.

Verifying identity, understanding customers, anticipating world events, uncovering crime. For over twenty years, Basis Technology has provided analytics enabling businesses and governments to tackle some of their toughest problems.

Rosette text analytics employs a hybrid of classical machine learning and deep neural nets to extract meaningful information from unstructured data.

Autopsy, our digital forensics platform, and Cyber Triage, our tool for first responders, serve the needs of law enforcement, national security, and legal technologists with over 5,000 downloads every week.

KonaSearch enables natural language queries of every field, object, and file in Salesforce and external sources from a single index.

Jobs at Basis Technology

One Alewife Center
Cambridge, MA 02140
101 Main Street, Suite 1400
Cambridge, MA 02142
1593 Spring Hill Road, Suite 510
Vienna, VA 22182

Basis Technology is the leading provider of software solutions for multilingual text analytics, identity resolution, and digital forensics. Our solutions are used by leading technology companies and government organizations to improve the accuracy of information retrieval, text mining and other applications through advanced linguistics and digital forensics.

Headquartered in Cambridge, MA, we also have satellite offices in the DC Metropolitan area, Tokyo, Tel Aviv, and London. We’re always looking for new talent to join our teams. We have opportunities available to work on text analytics developmentfederal solutions, as well as cyber forensics. Basis Technology is an equal opportunity employer.

Basis Technologies Culture


Read About Us

Talent on the Move
November 8, 2019
October 15, 2019


November 26, 2019
Name matching failure results in $467,000 fine and delivers a wake-up call for all companies Once upon a time, it seemed only banks and border security had to worry about the issues around watchlist screening… until Apple was slapped with a $467,000 fine on Monday, 1 for having entered into an App Store agreement with […] The post Welcome to OFAC Compliance, Apple appeared first on Rosette Text Analytics. ...
November 4, 2019
Rosette now offers smart matching for person names, addresses, and dates Astaire Avenue, Garland Drive, Lamarr Avenue, Skelton Circle, and Hepburn Circle are real street names in Culver City, CA, and equally prone to spelling errors as person names. In fact, many components of an address are essentially names: streets, cities, states/provinces, or buildings. Rosette […] The post Introducing Smart Name Matching for Addresses appeared first on Rosette Text Analytics. ...
September 23, 2019
How Persian names are composed from history, social class, religious affiliation, and geographic origins This month we have a special blog post by computational linguist and NLP engineer Zina Saadi. For this article, we’ll focus on Persian names of Iran, where people speak a dialect of Persian often called Farsi. Many aspects of the language […] The post What’s in a Persian Name? appeared first on Rosette Text Analytics. ...
September 4, 2019
The August release of Rosette 1.14 brings new features to entity extraction and linking, as well as language identification. Roadmap for linking entities to multiple knowledge bases In addition to linking to entities in Wikidata and DBpedia, entity extraction Rosette will ultimately link to multiple knowledge bases, including Thomson Reuters open PermID. PermID covers a […] The post Rosette 1.14 Release: Entity linking to Thomson Reuters PermID, Multi-model language identification appeare...
July 29, 2019
Entity extraction, or named entity recognition (NER), is finding mentions of key “things” (aka “entities”) such as people, places, organizations, dates, and time within text. Entity mentions are the words in text that refer to entities, such as “Bill Clinton,” “White House,” and “U.S.” Entity resolution takes it one step further and distinguishes between similarly […] The post What’s the Difference Between Entity Extraction (NER) and Entity Resolution? appeared first ...