Your brand. Bharat's most accurate skin AI. Your infrastructure.
White-label deployment of Bharat's highest-accuracy skin analysis engine. Custom model training. Enterprise SLA. Zero third-party branding.
Beyond the SaaS tier.
At scale, you don't need a plugin. You need infrastructure. SaaS products work for startups and mid-market. But when you process millions of scans per month, serve customers across multiple geographies, and need your legal, security, and procurement teams to sign off before a single line of code is deployed — you need something different. You need an enterprise partner, not a subscription.
- Dedicated compute
- Custom SLA
- White-label everything
The enterprise package.
Everything from the core product — plus the infrastructure that scale demands.
Standard SaaS
- AI skin analysis engine
- 12 skin concern parameters
- Product recommendations
- Basic dashboard
- Email support
Enterprise
- Everything in Standard SaaS
- White-label UI and branding
- Custom model fine-tuning
- Dedicated compute allocation
- 99.9% uptime SLA
- Dedicated Customer Success Manager
- Custom EDI and catalogue integration
- On-premise or BYOC deployment option
Deployment options.
Choose the deployment that fits your business—cloud, on-premise, or hybrid. Easily integrate with your existing systems and scale as you grow, without disrupting your workflow.
Managed cloud
We host and manage everything. Bharat-based data centers. Fastest time to production. Ideal for teams that want to focus on their product, not infrastructure.
Your cloud (BYOC)
Deploy the Rupam.ai engine in your own AWS, GCP, or Azure tenancy. Your VPC, your keys, your compliance boundary. We manage the application layer.
On-premise
Full deployment within your own data center. Air-gapped option available. Required for organisations with strict data sovereignty mandates.
Your data. Your model.
Every enterprise deployment starts with our foundation model — trained on 50K+ Bharatiya skin images across Fitzpatrick 3–6. From there, we fine-tune the model on your proprietary data: your customer demographics, your product catalogue, your specific skin concern priorities. The result is a model that gets more accurate for your customers with every scan.
- Step-1
Base model deployment
Start with the Rupam.ai foundation model, validated on 50K+ Bharatiya skin images across Fitzpatrick 3–6.
- Step-2
Data ingestion
Your proprietary scan data, product catalogue, and customer demographics are securely ingested for training.
- Step-3
Fine-tuning
The model is fine-tuned on your specific data. Recommendation accuracy and condition detection improve for your customer base.
- Step-4
Continuous learning
Every scan improves the model. Quarterly retraining cycles ensure the system gets more accurate over time.
Documentation your procurement team will actually accept.
Clear, complete documentation designed to meet procurement and compliance standards. Everything your team needs—well-structured, transparent, and ready for quick approvals without back-and-forth delays.
The Bhartiya dermatology pharma market.
Bharat is the world's largest dermatology market by patient volume. With over 200 million people affected by skin conditions and a growing pharmaceutical pipeline focused on psoriasis, atopic dermatitis, and vitiligo, the demand for validated clinical endpoints has never been higher.
CDSCO has approved a growing number of biologics and biosimilars for dermatological indications in recent years, each requiring robust efficacy endpoints. As global pharma companies expand Bharatiya trial sites, the expectation of AI-assisted clinical scoring validated on local populations is becoming standard practice.
Sponsors conducting multi-site trials across Bharat need centralised, reproducible scoring that eliminates inter-rater variability while meeting the evidentiary standards of both CDSCO and international regulatory bodies. This is exactly what Rupam.ai's clinical scoring platform provides.
Built for Bharatiya skin. From the ground up.
Every model, every validation dataset, every scoring algorithm has been designed and tested specifically for Fitzpatrick 3–6 skin tones. This is not a Western model with a regional patch. It is purpose-built clinical AI for the Bharatiya population.
Frequently asked questions
White-label means the entire skin analysis experience — UI, reports, recommendations, and data — runs under your brand identity. Your customers never see the Rupam.ai name. Your logo, your colours, your domain, your product experience. We provide the AI engine and infrastructure; you own the customer relationship.
Let's scope your deployment.
Contact us for enterprise pricing. Every deployment is custom-scoped based on scan volume, deployment model, and integration requirements.