The Continuous Learning Platform

Train, evaluate, deploy & observe specialized language models

Datawizz accelerates the transition to specialized language models - from data collection & decomposition, SFT/RFT, model deployment, evaluation and run-time observability. Close the loop faster, improve continuously.

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Impact of Specialized Language Models

65% fewer errors, 85% lower cost, 95% less latency

Super-charge the impact with a Continuous Learning Pipeline

Prompt Engineering

SFT

Guardrails

Routing

Observability

Model Deployment

Logs and Traces

Reinforcement

Fine Tuning

Evaluation

Prompt Engineering

SFT

Guardrails

Routing

Observability

Model Deployment

Logs and Traces

Reinforcement

Fine Tuning

Evaluation

Prompt Engineering

SFT

Guardrails

Routing

Observability

Model Deployment

Logs and Traces

Reinforcement

Fine Tuning

Evaluation

How It Works

Building your own Specialized Language Model is as simple as

Your App

Integrate

Drop in Datawizz with a single line change

Your App

Record

Capture every request and feedback signal to build your proprietary AI dataset

Your App

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Your App

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Decompose

Automatically break real production traffic into trainable task slices that map cleanly to specialized models.

Your App

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Your App

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Train

Fine-tune specialized models that outperform base models on your specific tasks.

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

Summarization

Classification

Q&A / Retrieval

25%

60%

15%

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

Evaluate

Run side-by-side benchmarks to prove accuracy, latency and cost improvements.

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

75%

25%

Open-weights Model - 13B

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

75%

25%

Open-weights Model - 13B

Deploy

Ship to production - serverless, on-prem, or on-device. You own the model.

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

75%

25%

Open-weights Model - 13B

Composite Score

94.2%

↑

1.3%

Custom Eval 1

96.1%

Custom Eval 2

92.3%

Latency (p95)

128ms

Tokens / request

847

↓

12%

Custom Eval 2 dropped below 90% threshold - auto-logged

82% Accuracy

90% Savings

91% Accuracy

80% Savings

96% Accuracy

70% Savings

Open-weights Model - 7B

Open-weights Model - 13B

Open-weights Model - 40B

75%

25%

Open-weights Model - 13B

Composite Score

94.2%

↑

1.3%

Custom Eval 1

96.1%

Custom Eval 2

92.3%

Latency (p95)

128ms

Tokens / request

847

↓

12%

Custom Eval 2 dropped below 90% threshold - auto-logged

Observe

Monitor live performance, catch anomalies, and feed insights straight back into training.

75%

25%

Open-weights Model - 13B

Composite Score

94.2%

↑

1.3%

Custom Eval 1

96.1%

Custom Eval 2

92.3%

Latency (p95)

128ms

Tokens / request

847

↓

12%

Custom Eval 2 dropped below 90% threshold - auto-logged

75%

25%

Open-weights Model - 13B

Composite Score

94.2%

↑

1.3%

Custom Eval 1

96.1%

Custom Eval 2

92.3%

Latency (p95)

128ms

Tokens / request

847

↓

12%

Custom Eval 2 dropped below 90% threshold - auto-logged

Benefits

Why it’s worth growing with Datawizz

Learn from production

Every request, trace, and outcome becomes a label, preference pair, or reward signal. Your runtime experience feeds directly into training.

Learn from production

Every request, trace, and outcome becomes a label, preference pair, or reward signal. Your runtime experience feeds directly into training.

Learn from production

Every request, trace, and outcome becomes a label, preference pair, or reward signal. Your runtime experience feeds directly into training.

Skip the infra work

You define the training job. We handle CUDA versions, PyTorch dependencies, and GPU orchestration.

Skip the infra work

You define the training job. We handle CUDA versions, PyTorch dependencies, and GPU orchestration.

Skip the infra work

You define the training job. We handle CUDA versions, PyTorch dependencies, and GPU orchestration.

Eval against real traffic

You gate deployments on live distributions, not stale test sets. You catch regressions before they ship.

Eval against real traffic

You gate deployments on live distributions, not stale test sets. You catch regressions before they ship.

Eval against real traffic

You gate deployments on live distributions, not stale test sets. You catch regressions before they ship.

Get Started Now

Integrating Datawizz takes under 15 minutes.

Get Started

Book a Call

Get Started Now

Integrating Datawizz takes under 15 minutes.

Get Started

Book a Call