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A truly unique platform built by a team with deep expertise

125 +

Years of industry/ domain expertise across functions (R&D, Innovation, Marketing, Supply)

50 +

Years of consulting and advisory experience across key needs and industries (innovation & growth)

40 +

Years of technology experience across various technologies and use-cases

Convenience

Convenience

Quality

Quality

Security

Security

Control

Control

Agility

Agility

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Comprehensive and reliable open source & licensed data!

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Target Biological Data (DNA / RNA / genes / proteins etc.)

  1. Pathways & Cross Interactions
  2. Biological Process & Molecular Functions
  3. Normal Tissue Expression
  4. Homolog – Paralog & Ortholog
  5. Domain / Group Classification
  6. Tissue, Gene and Pathway Ontologies
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Drug Data (small molecules / antibodies / biologics / gene therapies etc.)

  1. Targeted Indications
  2. Stage & Status of Development
  3. Contraindications & Off-label Use
  4. Mechanism of Action (MoA) / Target Associations
  5. Players & Players Type
  6. Chemical / Pharmacologic Classification
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Indication Data

  1. Disease Variations & Severity
  2. Economic Buren & Quality-of-Life
  3. Therapy Areas
  4. Hierarchical Classification
  5. Disease Ontologies
  6. Matching Other Diseases
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Clinical Trials Data

  1. Development & Research Activity Trend
  2. Study Design / Arms / Sample Size
  3. Outcomes / Inclusion & Exclusion Criteria
  4. Trial Phase & Status
  5. Players / Sponsors / Collaborators
  6. Principle Investigators & Locations
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Scientific Literature Data

  1. Research Activity Trend
  2. Safety & Efficacy Data
  3. Diagnosis & Treatment Guidelines
  4. Level of evidence
  5. Publication Type & Year
  6. Abstract / Authors / Affiliations
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Target – Indication – Drug Cross Connections

  1. Disease Pathways
  2. Animal Model Studies
  3. Differential Expression
  4. Genetic Associations & Somatic Mutations
  5. Drug MoA based Target – Indication Association
  6. Proprietary Tagging Based Associations from Literature
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Commercial Data

  1. Epidemiology
  2. Market Dynamics – Diagnosis & Treatment Rate
  3. Therapy Area Market Size & Growth Rate
  4. Active Players & Competitors
  5. Unmet Needs – Patient / Prescriber / R&D
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Robust, Scalable, and Credible sources of high-quality data.

Data procurement approach is a mix of:

  1. Open/ public sources
  2. Open-source API’s
  3. Commercial licenses (data providers)
Some examples

Biological data Registries: 10+ sources like e!Ensembl, UniProt, KEGG, chEMBL Targets, etc.

20+

Regulatory Databases: 20+ country-specific registries like FDA (USA), ARTG (Australia), etc.

50+

Drug Sources: 5+ databases with global/ local coverage like ChEMBL Drugs, Drug Central, FAERS, AdraCET, etc.

5+

Genetic / Somatic Association Sources: 10+ sources like ClinVar, Gene2Phenotype, ClinGen, COSMIC, etc.

10+

Baseline & Differential mRNA Expression: 5+ sources like Expression Atlas, GTEx, Human Protein Atlas, etc.

15+

Disease Pathways: 5+ sources like Reactome, SLAPenrich, PROGENy, IntOGen, etc.

15+

Indication/ Therapy Area Ontologies: unique compilation from 5+ repositories like DOID, MONDO, OrphaNet, etc.

15+

Clinical registries: 15+ databases like ClinicalTrials.gov, EudraCT, ChiCTR (China), ICTRP (WHO global), etc.

15+

Publication repositories: 5+ databases like PubMed Central, J-stage (Japan), EuroPMC, etc.

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Architecture has been built using advanced and sustainable technologies to ensure a high level of security, quality, and scalability.

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Java
Html
Css
Js
JQuery
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Let’s Familiarize

We are happy to talk further and discuss details and elements of various engagement models