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Build, Govern & Scale AI In-House With Ease.

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Problems

Enterprise
Realities

0%

of enterprises experiencing breaches averaging $4.8M each.

~0 %

of enterprise AI-Pilots never reach production due to costs.

~0%

of employers struggle to find skilled AI professionals.

0%

of IT professionals find generative AI pricing nearly unpredictable.

  • 01
    Security

    Exposing sensitive data to third parties and scattered tools weakens trust and increases IP risk.

  • 02
    Fragmented Tools

    Disconnected point solutions lead to endless stitching and maintenance—trapping AI in PoC purgatory and making time-to-market unmanageable.

  • 03
    Reliance on Expensive Talent

    AI development becomes unsustainable when progress depends on rare, high-cost experts.

  • 04
    Unpredictable Pricing

    Token based, rapidly escalating and sometimes opaque costs make it a risky and often unsustainable billing model for AI solutions.

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Sovereign,
Complete & Scaleable

  • Secure
    • End-to-End
  • Cost Efficient
Solution

Secure AI where your data lives - Under Your Control

Protect your advantage - keep data private, reduce risk, and move ahead with compliant AI.

  • Auditing
  • Encryption
  • Compliance
  • Access Control
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Solution

Everything you need to build and Scale AI - One Platform

Bring AI to market faster - skip stitching tools & managing infra with a scalable, efficient workflow.

  • Customized Model
  • Scaleable Runtime
  • SaaS Like APIs
  • App Distribution
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Solution

Less experts needed, Run leaner models - Simple & Efficient

Train and run smaller models to run on smaller hardware and achieve more accuracy, make AI development accessible to existing teams and reduce dependence on scarce, high-cost AI specialists.

  • No-Code Training
  • Automated Training Optimization
  • No-Code Deployment & Scaling
  • Reuse Not Retool
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AI Solution
Building Blocks

Sovereignty icon
Sovereignty
Full control over data, models, and infrastructure. Enable secure, compliant AI development without reliance on third-party providers.
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Dataset Management
Streamline the creation, versioning, and collaboration on training datasets. Ensure consistency across teams and improve model outcomes with clean, aligned data.
Governance
Keep AI safe, scalable, and compliant by monitoring, access control, auditing. Ensure that system behaves as expected over time, even under changing regulations.
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Inference
Serve models in compact, hardware-efficient formats on the optimal hardware configuration for low latency and cost.
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Model Customization
Build on top of pre-trained models, adapting them to your specific domain or task using your own data.
SaaS-like API
Use unified APIs that abstract complexity from RAG, extraction, agents, etc., so teams can integrate and build quickly—just like with a hosted service.
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Experimenting
Run, track, and compare experiments across datasets, models, and configurations to accelerate iteration through data-driven insights.

Install with a Single Command

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How it Works?

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Step-1

Model Training

Continued Pre-Training

Pre-train models via web UI on proprietary & specialised datasets so the model truly understands your domain.

Fit-for-Purpose Fine-Tuning

Fine-tune models via Web-UI to create specialised models for your use-case, reducing costs.

Dataset Management

Define, version and collaborate on training sets securely in one place with a complete audit trail.

Intelligent Training

Balance latency, memory and accuracy with guided controls; auto-stop on plateaued runs to save compute.

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Step-2

Deployment & Runtime

Universal One-Click Deployment

Deploy any public or private model—100 + architectures supported out-of-the-box.

Cost-Effective

Auto-quantise models and choose CPU, GPU or NPU back-ends with a single toggle.

Resilient Operations

Built-in HA with auto-recovery, geo-redundancy and load-balanced inference endpoints.

Full Observability

Prometheus metrics and pre-wired Grafana dashboards track health, performance and scaling.

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Step-3

Build AI Application

Foundational APIs

Call REST endpoints or use SDKs for Chat, RAG, Assistants, Model, User & App management, RBAC, etc.

In-Browser Experimentation

Mix & match models, data transforms and parameters; benchmark results live in the sandbox.

Seamless Updates

Stay current with evolving AI methodologies without without the hassle of chasing updates and constantly retooling.

Unified Access Control

Manage API keys, tokens and permissions centrally-auditable, SSO-ready.

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Step-4

Deployment & Runtime

Central App Portal

One-click onboarding, SSO integration and role-based permissions across all your AI apps.

Usage & Adoption Analytics

Real-time dashboards show invocation volumes, latency trends and error rates per app.

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AI platform distribution diagram

Predictable Pricing

Know exactly what it costs to deploy and scale, with no hidden fees or surprise charges from usage spikes.

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No Token Limits

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No Complex Credits

Unmetered

Per Model Instance Billing

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No Feature Gates

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No Usage Based Cost

FAQ

Have Any Question?

General

Yes, Protean supports on-premise deployments. It is a Kubernetes-native solution that provides complete flexibility to deploy on any Kubernetes cluster, whether it is running in your on-premises infrastructure, a private cloud, or a public cloud provider.

Yes. Protean supports deployment in private clouds, VPCs, and fully air-gapped environments. This is ideal for industries with strict compliance and data residency requirements, such as healthcare, finance, and government.

Cloud deployments are provisioned within minutes. For on-prem or private cloud setups, initial provisioning typically takes a few hours to a day depending on your infrastructure and customization requirements.

Yes. Protean is containerized and orchestrated via Kubernetes for scalability, resilience, and ease of management.

Yes. Protean integrates with your identity provider using OIDC to support SSO. This ensures centralized authentication and streamlined user provisioning.

Yes. Protean uses SSO for authentication and RBAC for access control. Admins can assign users to predefined roles, and permissions are configured individually for each dataset, model, and service. This setup ensures that access is tailored to each team’s needs.

Yes. Protean captures detailed audit logs for all user and system actions—including model changes, API access, and dataset modifications. Logs are exportable and searchable, helping you meet compliance and forensic requirements.

All data used during training and inference remains within your controlled environment (cloud or on-prem). No data is transmitted externally unless explicitly configured. Optional data redaction and masking tools are also available for added protection.
Pricing

Protean follows a per-model-instance pricing model. You pay for each active model instance you deploy, regardless of usage volume. Plans are tailored to meet the needs of startups, mid-size teams, and large enterprises.

Yes. We offer flexible, customized plans designed to fit your scale and requirements, whether you're a small startup experimenting with a few models or an enterprise managing a fleet of production-grade instances.

No. All of these capabilities—fine-tuning models, serving them via APIs, and using Protean’s platform APIs—are included as part of your per-model-instance pricing. There are no hidden or extra fees for these core functionalities.

A real-time billing dashboard is provided, allowing you to track active model instances, forecast monthly costs, and receive alerts when thresholds are approached.

Yes. Protean offers a 3-month free trial that gives you full access to the platform’s core capabilities, including model deployment, fine-tuning, and API usage.
Support

Protean offers three tiers of support: Basic, Priority, and Enterprise. Each tier is designed to meet different operational needs, ranging from community-based assistance to dedicated response teams with guaranteed SLAs and onboarding support.

Basic support is included in the core model instance pricing. Priority and Enterprise support packages are billed separately. You can choose the support tier that best fits your organization’s requirements and upgrade at any time.

Depending on your support tier, you can contact us via email, support portal, or a dedicated Slack channel. Enterprise customers also receive access to a named support manager and 24/7 incident handling.

Response times depend on the support tier. Basic support provides best-effort responses, whereas Priority and Enterprise tiers include guaranteed response times as outlined in their respective SLAs.

Code Less and Create More Magic with AI

Dream it up, bring it to life.

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