Avalaunch June 21 version below

 
 

Save Search Time and and Focus Only On Critical Insights

We help biomedical professionals find the most relevant research to inform strategic drug discovery decisions.

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tellic brings big data, machine learning and scientific text data together to form a single source of truth for biomedical concepts. With our technology, synonymous gene and disease descriptions are factored in to deliver clear-cut results for literature drawing connections between genes and diseases. Biomedical professionals won’t need to spend days manually searching and collating hundreds of terms across multiple data sources.

Gain Insights Not Possible with Outdated Technologies

Science is expanding, and biomedical professionals are challenged every day by processes leveraging outdated technologies: Manually collecting data, Fielding internal questions, Reading studies only to learn they didn’t contain content relevant to their study.

Powered by dictionary terms and hand-coded rules, most solutions cannot handle intricate text data, and thus fail to deliver useful results.

As a result,, valuable search time is wasted, biomedical professionals are overloaded and drug discoveries happen slowly. But customizable technology is here to keep up with the ever-changing pharmaceutical landscape. 

 

Biomedical Language Processing. Powered by Machine Learning. Using Big Data. 

Designed for pharma businesses, tellic’s breakthrough text curation engine is built to surface a metadata catalog that accelerates linear and exploratory searches.

 

Biomedical NLP

Process unstructured data with machine learning pipelines purpose-built for biomedical text

Concept Search

Increase results by 6X highlighting most relevant research to quickly deliver insights to scientists

Knowledge Graph

Make informed discovery decisions quickly and accurately with automated insights

 

Designed for Pharma. Customized to Your Organizational Language.

 
  • Detect biomedical concepts in text data with PhD-level accuracy

  • Link biomedical concepts into preferred ontologies with machine learning 

  • Discover the most important research with context-driven rankings

  • Gain support for ever-evolving vernacular, ontologies and identifiers 

  • Scale for big data with proprietary and best-in-class packages  

  • Enhance downstream operations with preprocessing and domain-specific metadata

 
 

The Power of Our Pipeline 

tellic’s machine learning and AI technology help scientists by extracting common terms from biomedical text.

 
  1. Identify more relevant documents by recognizing synonyms and terms related to biomedical concepts

  2. Pinpoint and remove false positives from sets of relevant documents 

  3. Easily pare down biomedical concepts to smaller, highly relevant biomedical results

 

Empower your biomedical professionals with technologies that yield customized, concept-based data results.

 

Groups We Work With

 
 

Business Development

Discovery

IT

Data

 
 

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Purposeful, deliberate, and having impact; moving towards a goal.

tellic was founded in 2015 by Richard Wendell, a Fortune 500 Chief Data Officer, whose vision was to make it easy for pharma companies to apply emerging data science technologies. Tellic pioneers a new category of enterprise-scale biomedical language processing and knowledge discovery powered by machine learning.

tellic’s innovation emerges from three distinct skill sets: life science, data science and DevOps. Our company has attracted thought leaders with expertise in molecular biology, functional genomics, drug discovery, AI and machine learning, linguistics, image processing, big data engineering and enterprise software development. 

tellic’s endlessly curious team cross-trains in each others’ fields to elevate the group and expand the frontier of pharma technologies. This unique approach gives pharma companies an unprecedented ability to use data to make breakthrough drug R&D decisions. The resulting insights can accelerate life-enhancing drugs to patients who need them.

 
 
 

OUR VALUES

At tellic, everything we do flows from our passion for data science and its capacity to make lives better. We live and breathe these five core values: 

  • Elevate the group. We want to grow our team with people who share our values. We invest in our employees by providing advanced training and mentorship. 

  • Expand the frontier. To remain pioneers in our field, we constantly seek innovation and are not afraid to take risks. 

  • Use data to make decisions. We work methodically to deliver results driven by data, not opinion. 

  • Relentlessly pursue the “wow.” We go above and beyond to wow our customers. We work to achieve excellence that delights and creates impact. 

  • Do the right thing. We live our values as a cohesive team, act with consideration for others and strive every day to create a product that helps people. 

We are growing quickly, and are actively seeking like-minded people who are passionate about life sciences, relish working with data and share our core values.

 

 May refresh version below

 
 

we help biomedical professionals find relevant research to inform strategic drug discovery decisions

Bringing together Big Data, Machine Learning, and Biomedical NLP, we curate and join structured and unstructured data to create a single source of truth of the most relevant research for a biomedical concept. This can save drug discovery professionals from days of searching hundreds of unique synonyms and manually collating the results across sources and terms, freeing them to focus on identifying the critical insights. Groups we work with: Discovery, BD, IT & Data

biomedical language processing. powered by machine learning. using big data.

Built and trained for pharma business use cases, tellic’s cutting edge automated machine learning text curation engine lets you process billions of text documents with PhD level accuracy

icon-data-silos.png

biomedical nlp

Purpose-built for biomedical text, machine learning pipelines process unstructured data

icon-data-search.png

Concept search

+6X increase in results & ranking by what is most relevant to quickly deliver insights your scientists

icon-local-data.png

Knowledge graph

Automated pipeline generates a knowledge graph uncovering insights  that enable data-driven discovery decisions

What makes us different is that we are designed for pharma and customize for your organizational language.

  • Our solution delivers PhD accuracy for detecting biomedical concepts in text data

  • Proprietary machine learning links biomedical concepts into preferred ontologies

  • Context-driven ranking delivers the most important research based on concept

  • Support for company specific jargon, ontologies and identifiers that evolve over time

  • Integrated solution of proprietary and best-in-class packages is engineered to scale for big data

  • Robust preprocessing and domain specific metadata enhances downstream processes

THE POWER OF OUR PIPELINE

Employing a combination of dictionary terms and hand coded rules, most search solutions for biomedical data lack the ability handle different structures of text data and therefore fail to deliver useful results, and lack utility for scientists to focus in on what’s most important to them. tellic’s machine learning and AI technology extracts common terms from biomedical text then to help scientists.  1. Identify broader sets of relevant documents by recognizing synonyms and other terms related to a biomedical concept  2. Pinpoint and remove false positives results from the set of relevant documents  3. Surface most relevant documents with metadata to easily drill down to a smaller, highly relevant set of results for a biomedical concept

Employing a combination of dictionary terms and hand coded rules, most search solutions for biomedical data lack the ability handle different structures of text data and therefore fail to deliver useful results, and lack utility for scientists to focus in on what’s most important to them. tellic’s machine learning and AI technology extracts common terms from biomedical text then to help scientists.

1. Identify broader sets of relevant documents by recognizing synonyms and other terms related to a biomedical concept

2. Pinpoint and remove false positives results from the set of relevant documents

3. Surface most relevant documents with metadata to easily drill down to a smaller, highly relevant set of results for a biomedical concept

Contact us to see a demo and learn more about tellic

 

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