Pricing

How Pricing
Works

Flexible pricing based on your delivery model, usage & scale, and human-in-the-loop requirements. No fixed tiers — we scope every engagement to your specific AI initiative.

Two ways to build AI with Indika

Managed AI Delivery
We handle everything
Best for teams who want outcomes, not operations
  • End-to-end project ownership by Indika AI
  • Data preparation, workflows, and model execution managed by our team
  • Human-in-the-loop fully operated by Indika experts
  • No platform access required
  • No operational overhead for your team
  • Final deliverables shared at agreed milestones
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Most Popular
Platform Access
You stay in control
Best for teams who want visibility and hands-on management
  • Full access to the Indika AI platform
  • Manage data pipelines, workflows, and deliveries in real time
  • Track progress, performance, and outputs
  • Configure models and human-in-the-loop as needed
  • Flexible usage-based pricing
  • Priority platform support
Request Access

What Determines Your Quote

01

Delivery Model

Choose between fully managed delivery (we own outcomes) or self-operated platform access (you stay in control).

02

Usage & Scale

Pricing is based on data volume, number of model runs, and overall workflow complexity.

03

Human-in-the-Loop

RLHF and annotation costs vary by task type, volume, and the level of domain expertise required.

Get a Custom
Enterprise Quote

FAQ

Common Questions

No. Every engagement is scoped individually based on your delivery model, data volume, and human-in-the-loop requirements. We don't believe in one-size-fits-all plans for enterprise AI.

With Managed AI Delivery, Indika AI owns the end-to-end execution — you receive deliverables at agreed milestones with no operational overhead. Platform Access gives your team direct visibility into pipelines, workflows, and model outputs through our platform.

RLHF and annotation costs depend on task type, required expertise, and volume. Domain-specialist tasks (e.g. medical or legal annotation) are priced differently from general labelling work. We scope this during discovery.

We work with enterprise teams and research organisations. Engagements are scoped to fit your initiative — contact us and we'll advise on the most cost-effective structure for your scale.

Yes. Many clients begin with a scoped pilot to validate data quality, workflow fit, and model performance before scaling. Talk to our team to design a pilot that de-risks your investment.

Indika AI is ISO-certified and GDPR-compliant. Our infrastructure is built on AWS with enterprise-grade security controls. We can provide detailed compliance documentation on request.