Backed by the best in the industry

AI Operating
System for
Life Sciences

Achieve Operational Excellence,
Real-Time Governance, and
Continuous Compliance

200+ years of industry expertise empowering us

Advisor

Dr. Mahesh Bhalgat

CEO, Veeda LifeSciences

Investor and Advisor

Venkat Kamalakar

CEO, Garphi BioSciences

Investor and Advisor

Dr. Jayanth Sridhar

CEO, DRL Biologics

Investor and Advisor

Srinivasa Rao Aluri

Chairman, QuNu Labs

One AI Platform
From RnD to Commercial Operations

We simplify lab and manufacturing processes by bringing everything together into one smooth digital workflow.

Join the Beta program

Be the first to experience the future of operations

Looking for specific AI-driven Outcomes?

Learn more about our “Outcome-as-a-Service” offering

Challenges holding you back

Endless documentation

Siloed knowledge and disconnected processes

Lack of visibility into operations

Ineffective digitization and clunky legacy software

Missing actionable insights on your data

Stringent quality and compliance requirements

AI drvien solutions for overcoming challenges

Manufacturing Excellence

AI Assistant for BMR Execution and Automated BMR Creation
Insights on Material Usage, OEE, Costs, Yield Consistency
AI Assisted Batch Release and automated QA reviews

Quality Assurance

Proactive Deviation, Incident and Anomaly detection
AI Co-pilots for Investigations, CAPAs
AI Agents for Document Writing, Summary Reports and Automated QA Reviews
AI Powered SOP Drafting, Changes and Training

BYO Workflows

No-Code Platform to build your own workflows and connect different processes
AI Agents to automate different manual tasks across systems

Research & Development

AI Assistant for Scientific Literature Reading and Summarization
AI Agents for Documentation and report preparation pre-DOE and Post Experiment run
AI Assisted optimization of R&D Lab equipment usage, resources and planning of R&D Tasks

Sales and Delivery

AI Chatbot for Sales People that gives Historical summary of deals
AI Agents to Create Proposals considering customer requirements, current production plans, Cost of materials and operational constraints

PPIC

No-Touch Scheduler for Supply and Production plans
Real-time Inventory Optimization
Highly Accurate Demand Forecasting

Target Business Outcomes

100%

Continuous Audit Readiness and Real-time Governance

50%

Productivity and Efficiency Improvement

20%

Reduction in Operational Costs

Use cases leveraging AI

Accelerating BMR Documentation

Problem

CDMOs spend 7 days drafting BMRs for each project, delaying production timelines.

Solution

An AI Agent automates data collection, prepares technical reports, and drafts BMRs with 80-90% accuracy in minutes. The BMR is then seamlessly configured into the MES system upon approval.

Before AI

7 days per project (RnD: 2 days, Production: 5 days).

With AI

1-2 days per project.

Outcome

Saves 1 week per project, equating to 50 weeks of team effort saved per month across 50 projects.

Accelerating BMR Documentation

Problem

Production planning for multiple products across different manufacturing lines is highly inefficient and error prone when done manually.

Solution

An optimiser which models all the available resources (machine, man power, materials) and constraints (product change overs, product delivery times, supply chain lead times) and automatically creates production schedules for approval.