Services

Six ways to make a model yours

From a single LoRA adapter to a model pretrained on your corpus: pick the service that matches where you are today.

01
LLM Fine-Tuning
Adapt an open-weight or hosted model to your tasks, tone, and formats.
Best for: Teams whose prompts have hit a ceiling on accuracy, cost, or latency.
02
Custom Model Development
Continued pretraining and small language models built around your domain.
Best for: Deep domain corpora, regional languages, or edge and air-gapped deployments.
03
Training Data & RLHF
Expert-labelled instruction, preference, and reward data for alignment.
Best for: Regulated or specialist domains where only an expert can judge what a good answer is.
04
Evaluation & Red-Teaming
Task-specific benchmarks, calibrated auto-graders, and adversarial testing.
Best for: Any team that has to prove a model is ready, whether to itself, to auditors, or to customers.
05
Deployment & LLMOps
Serve your model with autoscaling, tracing, and retraining loops.
Best for: Moving a tuned model from a notebook to a monitored endpoint with an SLA.
06
RAG & Agent Integration
Connect your custom model to enterprise knowledge, tools, and workflows.
Best for: Knowledge-heavy or action-taking work such as support, research, and operations.

Before you choose

Two pages worth reading first

Compare prompting, adapters, full fine-tuning, preference tuning, and pretraining by data needed, timeline, and trade-offs.

Supported base models, clouds, serving runtimes, and the data format we'll ask you for.

Describe the task you want a model to do. We'll tell you the lightest approach that will work.

We reply within one business day (IST).