ALPHA CAUSALITY PRIVATE LIMITED
Kochi, Kerala
In their own words
Causality Biomodels (incorporated as ‘Alpha Causality Pvt. Ltd’) is an Indo-German life science informatics company which offers high quality computable knowledge-based models of complex multi-factorial diseases. Causality BioModels’ knowledge-based models are mechanisms of diseases, which describe the various cause and effect relationships of all the agents associated with the diseases. The models are developed through the conversion of unstructured text-based data into structured knowledge with the help of advanced text mining tools and subject expert review. This is achieved through the methods of semantic data and information extraction, knowledge integration and the techniques of advanced machine learning in life sciences. The results derived from the analysis of these models will solve a number of problems faced by the global pharmaceutical industry today by providing comprehensive insights on optimal drug discovery strategies. Causality Biomodels is incorporated in Kerala, India, in 2018 under the legal name ‘Alpha Causality Pvt. Ltd’. The company is incubated under the Kerala Startup Mission (KSUM) in March 2018. The company is founded by Mr. Jossin Antony and Dr. Alpha Tom Kodamullil. The scientific basis of the company rests on the research work by Dr. Tom Kodamullil, who conceived and pioneered the concept of using knowledge based modeling approach to questions in life sciences. She is also the author of many high ranking scientific publications and has also negotiated, planned and conducted many collaborative research projects in the area of neurology & psychiatry in Europe and the USA. Even by the most conservative estimates, Causality Biomodels addresses an immediate market of around €6.4 billion in global drug discovery technology market, particularly in Europe and the USA. Causality Biomodels will initially focus on neurology and psychiatry as large indication areas and will sell disease models to interested parties such as pharmaceutical and biotech companies, research bodies and collaborators in European Union and National Institues of Health (USA) funded projects. The future target markets of Causality Biomodels include the advanced therapeutic segments that rely heavily on the use of enriched disease models which could deliver novel drug target identification, patient stratification and precision medicine. Business Offerings by the company: Base product: High quality computable knowledge-based models of complex multi-factorial diseases. These models are essentially mechanisms of diseases, which describe the various cause and effect relationships of all the agents associated with the diseases. Value-added variants: Enriched versions of the base disease model with focus on specific application areas- for example, Novel targets identification, Drug repurposing etc. Technologies in which the startup is working on: Causality Biomodels rely heavily on the use and development of Text mining tools, Semantic data extraction, Knowledge modelling and the techniques of Machine learning in bioinformatics. Profile of the projects you are working on: Causality Biomodels will develop and sell disease models to interested parties who are mainly pharmaceutical and biotech companies, research bodies and collaborators in European Union and National Institues of Health (USA) funded projects. Business Sector / Domain of Startup: Biotechnology, Bioinformatics, Big Data and Artificial intelligence in Life Sciences.
Written by the company on its public Startup India profile. Not verified by us.
What the record says
- DPIIT recognition number
- DIPP31022
- CIN
- U72900KL2018PTC052909
- Incorporated (MCA)
- 2018
- Registered on Startup India
- 2018
- Self-declared stage
- EarlyTraction
- MCA status
- Active
- Company class
- Private
- Registrar
- RoC-Ernakulam
- Authorised capital
- ₹10,00,000
- Paid-up capital
- ₹1,08,100
Where this is
Locality
Kochi
Kerala
We know the area but not the address. The pin below covers roughly a kilometre.
Geocode confidence: medium
What we do not know
- no funding signal of any kind
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