Jaconir

Synthetic Data Factory

Core Utility v2.0
Local Storage Only
Production Data Architect

Forge High-Fidelity Training Data.

Describe your agent's objective or import your ground truth to start the synthesis engine.

Draft Objectives

AI-Guided Specification

Import Ground Truth

Upload one or more CSVs for instant reliability analysis.

Multi-CSV Support
No API Key Req.
Select File
Auto-Schema
Divergence Check
Export JSONL

Massive Scale Synthesis

Automate the generation of 5,000+ high-fidelity training pairs in minutes. This is no playground—it's a production-scale dataset factory.

Scientific Benchmarking

Upload your ground truth and instantly analyze vocabulary overlap, semantic drift, and structural deltas against your synthetic output.

Reliability Guardrails

Native detection for PII leaks, hallucination triggers, and formatting anomalies. Every row is audited before it ever touches your model.

Architectural Exports

Seamless one-click pipelines for OpenAI .jsonl, Llama 3 Fine-tuning, or direct webhook integrations for your custom training loops.

New: Multi-CSV Import Support

Don't Just Generate.
Validate & Refine.

Most generators give you raw text. We give you a laboratory. Merge archives, spot privacy leaks, and map semantic diversity in real-time.

Multi-CSV Merge

Drag and drop multiple datasets from different archives. We automatically unify schemas and deduplicate rows for a clean master view.

Semantic Topology

Visual 2D mapping of your dataset. Identify "blind spots" where your model lacks coverage and spot repetitive clusters instantly.

Privacy Auditor

Automatic detection of PII (Credit Cards, SSNs) and toxicity. Ensure your training data is clean and GDPR/CCPA compliant before export.

Master The Factory

From raw concept to compliance-ready dataset in four precise stages.

01

Architect & Configure

The Blueprint

Define your agent's persona. Use our {{variable}} engine to inject dynamic context into your system prompt. Set adversarial parameters to test robustness.

02

Forge Data

Batch Gen

Initiate the production run. The factory spins up parallel requests to your LLM, generating 100+ unique user interactions based on your logic topology.

03

Reliability Audit

Quality Control

Enter the Production Grid. Check the semantic map for duplicate clusters. Review the "Privacy Score" to ensure no PII leakage. Prune low-quality rows instantly.

04

Deploy

Production

One-click export. Download .jsonl for OpenAI fine-tuning, or standard CSVs for specialized Llama 3 training pipelines.

Enterprise Grade Utility

Architected for high-fidelity ML workflows. Pure utility. Zero marketing fluff.

Lightning Fast

Generate 100+ high-quality rows in minutes. No more manual typing.

Adversarial Robustness

Test your agents against angry, vague, and manipulative user personas.

Fine-Tune Ready

One-click export to OpenAI JSONL, Llama 3 Instruct, and CSV formats.

Agent Simulator

Chat with your synthetic data immediately to verify quality.

Diversity Audit

Automatic analysis ensures your dataset covers a wide range of scenarios.

Privacy First

All generation happens via your API key. We store nothing.

Frequently Asked Questions

Is the data really free?

Yes, the tool is free. You only pay for your own Gemini/OpenAI API usage.

How does Fidelity Scoring work?

We analyze the statistical fingerprint (vocab, length, sentiment) of your uploaded logs and compare it to the synthetic output.

Is my data private?

100%. All processing happens in your browser. We don't have a database, so we literally cannot steal your data.

Can I export for Llama 3?

Yes. We support direct JSONL export formatted specifically for OpenAI, Llama 3 Instruct, and Claude.