From Raw Data to Production-Ready AI.
All in One Studio.
Studio Engine is a unified, no-code platform that powers the entire AI lifecycle — data labeling, fine-tuning, deployment, and real-time applications. Whether you need an end-to-end pipeline or specific modules, Studio Engine adapts seamlessly to your workflow, accelerating iteration and delivering production-ready AI at scale.
Accelerate Your AI Workflow
The Indika Studio Engine lets you manage the full AI workflow in one place. Label data, fine-tune models, and build custom tools. It's fast, flexible, and built to scale with your needs.
End-to-End Control
Manage data preparation, model fine-tuning, and application deployment seamlessly from a single unified control plane.
Multi-Modal Data Prep
Support text, images, audio, video, PDFs, HTML, and tabular data with integrated human feedback loops.
Model-Agnostic Tuning
Fine-tune custom domain-specific models using open-source architectures, proprietary weights, or top commercial LLMs.
Instant Live Dashboards
Transition instantly from trained weights to fully functional inference endpoints and real-time interactive applications.
Explore the Studio Engine
Data Studio
Precise, scalable data preparation for enterprise AI.
Data Studio enables organizations to turn raw, unstructured data into AI-ready datasets. By combining programmatic labeling, human feedback, and integrated fine-tuning, it produces clean, structured, and enriched data across every modality — text, images, audio, video, PDFs, HTML, and tabular data.
All Data Types, One Platform
Supports text, images, audio, video, PDFs, HTML, and tabular data, ensuring seamless workflows across domains like computer vision, NLP, and GenAI.
Programmatic Labeling + Fine-Tuning
Leverage your own models, open-source LLMs, or foundation models to auto-label and fine-tune with enterprise data.
Cloud-Native Infrastructure
Collaborate securely across teams with a scalable, fully managed cloud platform — no installs, no silos.
App Studio
From AI outputs to decision-ready dashboards.
App Studio transforms complex model outputs into intuitive, real-time dashboards that empower decision-makers. With drag-and-drop design tools, customizable layouts, and live model integrations, business and data teams can turn predictions into insights instantly — no coding required.
AI Studio
Train, fine-tune, and deploy AI built for your business.
AI Studio offers complete flexibility to build high-performing models using foundation models, LLMs, or traditional ML. From fine-tuning to deployment, it gives enterprises full control and visibility in one workspace.
Access Leading Foundation Models
Work with models from OpenAI, Meta, Cohere, Google, Mistral, and more — open-source or proprietary.
Custom Fine-Tuning
Align models with your business using proprietary datasets, supervised fine-tuning, or reinforcement learning.
Multi-Model Management
Run experiments, compare results, and monitor outputs across multiple models in real time.
Ready to Build Your
Custom AI Model?
Common Questions
Studio Engine supports NLP/LLM fine-tuning, computer vision, tabular ML, speech recognition, and multimodal models. We support all major frameworks: PyTorch, TensorFlow, and Hugging Face.
You can bring your own data or leverage Indika AI's annotation and data collection services to build high-quality training datasets from scratch.
Every training run is tracked with full metadata, hyperparameters, and evaluation results. Models are versioned in our registry with rollback capabilities.