Evidence over hype
We tell you what works, what doesn't and how we know.
About Us
Research-led AI, from clinic to company.
We engineer industry-specific AI systems that automate workflows, improve decisions, and turn business data into operational intelligence.
Our vision
Outcomes first, models second
We communicate measurable business outcomes instead of focusing only on AI models or chatbot development.
Our approach combines domain understanding, AI engineering, and workflow automation to develop solutions that fit the way your business operates.
Business-firstIndustry-specificResponsible AIEnd-to-end
Meet the founder
Clinical AI that works for the patients most technology overlooks.
We build clinical AI that works for the patients most healthcare technology overlooks: people with darker skin tones and people in rural India, far from specialist care.
Harsh Parashar, Founder & Director
Founder & Director, Fornax EverUseful Private Limited
Harsh Parashar
Harsh founded the company as AmoghConnect, a platform for students. Along the way he saw a far larger problem: the AI tools used in medicine are rarely built or tested for the people who need them most. He turned the company toward healthcare AI, and today it operates under the brands Amogh AI Solutions, Multiverse AI Solutions and Vaidya AI.
As the company’s lead AI scientist, Harsh builds dermatology-focused clinical models trained on Indian skin tones, with particular attention to Fitzpatrick types IV–VI, which are under-represented in most public datasets. He works closely with clinicians, including Prof. Dr. Somesh Gupta of the Department of Dermatology & Venereology, AIIMS New Delhi, so that the models are shaped by real clinical practice.
What guides our work
- Skin-tone fairness: performance reported across Fitzpatrick types, not just on average.
- Built for the last mile: offline-first, federated designs for rural and low-connectivity settings.
- Clinician-in-the-loop: tools that support doctors rather than replace them.
- Open to young researchers: a research internship programme that trains the next generation of medical-AI builders.
Dermatology AIClinical AIFederated learningOffline-firstSkin-tone equity
Meet the team
The people behind Amogh.
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What we stand for
Principles we build by
Fair by design
We test for bias across the people your system will serve, not just the average user.
Built for real conditions
Offline-first and low-bandwidth options where connectivity is unreliable.
Privacy-conscious
Data stays under your control, with architectures such as federated learning where sensitive data is involved.
Measurable outcomes
Every project starts with a success metric we can track together.
Why work with us
What sets our approach apart
Business-First Thinking
We start with the problem you need to solve, not the technology we want to sell.
Industry-Specific Solutions
We tailor AI applications to your workflows, business context, data, and operational requirements.
End-to-End Implementation
From initial discovery and prototyping to deployment and optimization, we support the full solution lifecycle.
Integration With Existing Systems
We aim to enhance your current infrastructure wherever practical instead of introducing unnecessary complexity.
Responsible AI & Data Governance
We consider access controls, data privacy, security, human oversight, and evaluation requirements as part of solution design.
Scalable Architecture
We design solutions with maintainability, integration, and future growth in mind.
How we work
A practical, outcome-driven approach
Discover
We map your workflows, data and goals, and agree on what success looks like.
Experiment
We test several approaches on your real data and compare them fairly.
Build
We turn the winning approach into a working system that fits your existing tools.
Deploy
We integrate, train your team and run it in real conditions.
Improve
We monitor results and keep refining as your data and needs change.
Responsible AI
Governance built into the design
We consider access controls, data privacy, security, human oversight, and evaluation requirements as part of solution design.
Specific security and compliance commitments are established for each engagement, and sensitive domains such as finance and healthcare retain human oversight.
Let's talk
Have a problem worth testing?
Tell us about the workflow, decision or research question. We'll tell you honestly whether AI can help and how we'd find out.
Research-led AI, from clinic to company.