Transforming Scientific Vision
into Software Solutions
Accurately translating Scientific Processes into robust algorithms demands expertise in both Life Sciences and Software Development. Whether you're grappling with complex omics data sets, translating scientific ideas into algorithms, optimizing manufacturing processes, or navigating regulatory landscapes, Kanda is your partner in transforming challenges into opportunities. Let us help you harness the power of software to accelerate scientific progress and bring your life-changing innovations to the world.
Accelerating Scientific Progress
Through Software-powered Innovation
is riddled with Complexities
Kanda Bridges the Gap
We Effectively Integrate Diverse Skill sets to Achieve Faster Time to Market
Dedicated Life Sciences Experts with Engineering skills effectively bridge the gap
between scientific vision and development objectives
Cohesive and Agile Dedicated Engineering teams
Rapidly scale teams up (or down), maximizing efficiency
Rigorous Client IP protection, security and compliance adherence practices
Advanced UX/UI capabilities
In-Depth AI/ML Expertise
The Kanda Difference
Life Sciences Practice At A Glance
From R&D to EHR
Expertise spanning Science, Medtech and Software Engineering
Testimonials
Chris McCreadyPrincipal Research Scientist, SartoriusTo build a prototype on time and on budget, that doesn’t happen. For Kanda to actually do that is a pretty big accomplishment. Kanda Life Sciences team is very competent in building cloud-based applications in tight time requirements.
John GurmanSVP Technology, SermoKanda Software proved to be top-notch in terms of their technical skills and high-quality deliverables. The detail-oriented team communicated seamlessly and managed the project well, despite a time zone difference. Their industry knowledge and technology insights added value to the partnership.
AI for Life Sciences
Kanda Expertise spans from the discovery of biological mechanisms to early disease diagnostics,
drug discovery, care personalization and management
R&D
Target identification
and validation
Digital data flow
Patient stratification
Molecular Design
Manufacturing
Proactive quality control
Automated batch release
Optimize yield and output
Supply Chain
Self-healing supply chain
Demand and
supply planning
Commercial
Al omnichannel
engagement
Incorporate patient voice
into product iterations
Optimizing interactions with
healthcare practitioners