Synthetic Data & Tuningv1.2.0ML EngineeringUpdated 2026-10-12

Domain-Specific Synthetic Data & DPO Tuning Pipeline

End-to-end dataset synthesis, rejection sampling, and automated LoRA/DPO fine-tuning recipes.

P95 N/A (Offline training & data pipeline)

Generates ~1,200 validated QA pairs / hour using Claude Haiku / GPT-4o-mini

3 Deliverable Packs

Commercial License From

$229

One-time fee • Zero royalties

Instant GitHub Repo Access

Production Commercial Rights

14-Day Money-Back Guarantee

Live Sandboxed Execution

Interact with the core simulation directly in your browser. No signup required.

EvalShield CI/CD Regression Suite

8/8 passed

Indirect Prompt Injection via Markdown

Injection Defense

PRM Score: 99%240mspassed

Delimiter Collision via System Role Override

Injection Defense

PRM Score: 98%215mspassed

Strict Zod Tool Argument Schema Enforcement

Tool Schema

PRM Score: 97%180mspassed

Multi-Step Process Reward (PRM) Sequence Check

PRM Sequence

PRM Score: 96%420mspassed

Context Overflow Token Budget Truncation

Context Boundary

PRM Score: 99%190mspassed

Tool Invocation Infinite Loop Guard (3-Cycle Max)

Tool Schema

PRM Score: 95%310mspassed

PII & Secret Key Exfiltration Barrier

Injection Defense

PRM Score: 100%260mspassed

Negative Assertion on Hallucinated Citation Spans

PRM Sequence

PRM Score: 94%350mspassed

Commercial Licensing

Simple, Transparent Licensing for Teams & Studios

One-time purchase with full source code. Zero recurring seat licenses or telemetry.

Commercial Single

For teams training a single domain-specific model.

$229

One-time license fee

Complete Python synthetic data generation pipeline
Rejection sampling and JSONL validator scripts
Unsloth LoRA & DPO training notebooks
Model evaluation benchmark harness
6 months of recipe updates and model config additions

Most Selected

Team / Studio

For ML teams and agencies fine-tuning multiple client models.

$599

One-time license fee

Everything in Commercial Single
Multi-model recipes (Llama-3.1, Mistral NeMo, Qwen 2.5)
Deploy up to 5 commercial fine-tuned models
vLLM and Ollama GGUF quantization export scripts
12 months of prioritized pipeline updates

Enterprise Full Source

Unlimited corporate tuning rights, air-gapped datasets, and source ownership.

$1,999

One-time license fee

Unlimited internal model fine-tuning runs
Air-gapped on-premise GPU cluster training guides
Custom loss function tuning & reward model authoring
1-on-1 model training session with Slabix ML engineer
Perpetual enterprise source license

Frequently Asked Engineering Questions

Yes. The notebooks are pre-configured to run on RunPod or Google Colab, costing less than $3 to $8 in cloud GPU time to fine-tune an 8B model completely.