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HOW WE WORK

OUR APPROACH

Engagement Model

Platform licensing /
Subscription model

This usually involves data resolution and integration from public, enterprise, and third-party sources as well as dashboard setup/customization. The total cost is split into ‘platform development/set-up fee’ (depending on scope/customization required; payable before set-up or also as installments until platform delivery) and ‘licensing fee’ (depending on IT infrastructure/number of users/duration of license) payable at the start of the licensing phase.

D3 ENGINE

Professional services /

Risk sharing model

This is applicable for the different virtual drug discovery and development modules/projects such as indication prioritization for an asset or clinical trial protocol design optimization & success prediction for a trial. The total cost is split into ‘project kick-off fee’ (payable upon project start) and rest as ‘milestone payments’ payable after completion of various project milestones/delivery of services/results, over the course of the project.

Engagement Process:

Collaborative Approach

Innoplexus team works together with its customers to ensure optimal integration with customer processes. Before starting any new project, a scoping workshop is held with the customer to outline their major requirements and define the exact project deliverables. As a next step, a proposal document containing the project background/context, approach, deliverables, project governance, timeline and cost is submitted for customer review and approval. Upon proposal acceptance by the customer, a Master Service Agreement (MSA) and/or a Statement of Work (SoW) document is signed between the parties. As soon as the Project Order (PO) is received by Innoplexus, the project kick-off and project delivery is planned and executed as agreed.

Iterative way of working

Innoplexus teams follow the agile methodology. As a first step, a minimal viable product is delivered, which is incrementally built-up, based on advanced requirements and customer feedback incorporation at regular intervals as part of milestone/project delivery meetings, thereby, improving the desired solution/end-product.

Frequent Touchpoints

Innoplexus and customer teams connect regularly to ensure alignment on goals and monitor project progress. This is ensured with the help of bi-weekly meetings for regular projects (4-6 weeks duration) and in addition, monthly steering committee meetings for bigger, complex projects (26-30 weeks duration).

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Quality Assurance

Data Ingestion & Collation

Data Ingestion & Collation

Fully automated with AI algorithms and verified monthly

Hypotheses Generation

Hypotheses Generation

Largely automated with AI algorithms and sanity tested by experts

Intuitive Interfaces

Intuitive Interfaces

Industry standard functional testing as per SDLC process

Final Outcome / Deliverable

Final Outcome / Deliverable

Largely manually validated by medical experts under the guidance of CMO/CSO

Our Technology

Machine Learning & AI

Tapping the wealth of unstructured data from internal and external sources. Understanding domain-specific contextual information (e.g., our life sciences language processing™ engine). Building reasoning systems to serve the intent of user queries.

Ontology – Life-Science-Language-Processing

Mapping all discoverable concepts from content of all major data sources in the base ontology. Connecting observations from curated sources and literature. Self-learning unseen concepts validated by random checks.

Computer Vision

Leverages image processing to classify and extract relevant info from PDF and image files. Enhanced OCR to handle ambiguous and special characters with higher precision. Understands page layout and structure in the same way as humans do.
Our comprehensive patent portfolio

Blockchain

Smart contract system for searching unpublished data and making transactions. Real-time valuation of unpublished data through AI. TruAgent™ enables integration of confidential data in a secured way.

Network Analysis

Modeling and persisting (storing) the entire data set as a network in a graph database. Multigraph with networks from different asset classes as layers. Large scale network analysis to find key insights in real time.

Entity Normalization

Resolving entities from disparate sources covering name variations and degeneration. Increasing the precision to discover entities even with sparse metadata. Leveraging crawled data to improve normalization.
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Security

We follow the highest standards of security on a global scale.

ISO 27001

certified

GDPR

compliant
Information security norms validated by > 5 large pharma and several CROs and Biotech
Access in Proxy Server maintained via public / private key infrastructure
Proxy Server-based Database access(even to applications)
Private IPs never disclosed to outside world
Virtual Private Clouds for restricted instance (no peer access)
Two Stage Authentication
No Remote Database Access (all ports blocked)
Data in database encrypted, decryption occur only in run-time applications
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Innoplexus wins Horizon Interactive Gold Award for Curia App

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