Build your own Specialized Language Model with ease
Transition from depending on large, expensive models to owning your own Specialized Language Model.
Building your own Specialized Language Model is as simple as that
Integrate
Drop in Datawizz with a single line change
Record
Capture every request and feedback signal to build your proprietary AI dataset
Decompose
Automatically break real production traffic into trainable task slices that map cleanly to specialized models.
Train
Fine-tune specialized models that outperform base models on your specific tasks.
Evaluate
Run side-by-side benchmarks to prove accuracy, latency and cost improvements.
Deploy
Ship to production - serverless, on-prem, or on-device. You own the model.

Best of all, it generates a model that YOU own and control - removing your dependency on OpenAI / Anthropic.
Why it’s worth growing with Datawizz
65% less mistakes, 85% lower cost, 95% less latency
Super-charge the impact with a Continuous Learning Pipeline
Deliver AI improvements to production 3x faster
Free up 2-3 FTEs by abstracting infrastructure work
Control risk with business-specific guardrails and observability
Understand your AI Consumption and Performance
Datawizz let’s you understand your LLM consumption patterns:
Model Quality and User Feedback
Token consumption
Inference costs
Collect and Manage LLM Logs and Human Feedback to Constantly Improve your AI
Datawizz collects your AI requests logs and quality feedback for better analysis and future training. The best way to manage your AI data.
Automatically train smaller and more efficient models that you own
With Datawizz you can easily fine-tune top-tier SLMs with your custom data. Just choose a model, distil
Evaluate different AI models to find the right balance of cost, performance and accuracy
Compare model performance with manual and automated benchmarking to understand model performance in real-life scenarios.
Route your AI Requests to the right model every time
Datawizz let’s you define smart rules to route AI requests to different models and providers based on separate criteria (think different models for different tiers, different context sizes or different end users)
Secure against abuse with smart policies
Datawizz lets you define smart policies to secure and enhance your LLM traffic, protecting your app against abuse, hallucinations and prompt injections.

Deploy your SLMs to any cloud right
Easily deploy your SLMs to any cloud right from Datawizz, or choose the Datawizz Serverless Inference Cloud for a cost-effective and easy-to-use inference option.

On-device inference
Datawizz lets you bring your SLMs closer to your customers with on-device inference. Serve your models in supporting browsers and mobile devices to being AI closer to your customers. Save all inference infrastructure cost by using the end customer compute resources for inference.

















