Test your AI agent before production, generate realistic training datasets, evaluate responses and tool calls, protect sensitive information with PII anonymization, and automatically build regression suites.
Sylvaera provides modular, secure capabilities designed to test AI agents before production, generate synthetic datasets, safeguard privacy, and simplify data workflows.
Create realistic structured data from prompts, schemas and SQL.
Test your AI agent, evaluate responses & tool calls, and auto-build regression suites.
Detect and anonymize sensitive and PII data before sharing or using it.
Convert and transform CSV, JSON, XML, Excel, SQL and other supported formats.
Generate production-like mock datasets, schema models, and API endpoints dynamically. Perfect for seeding test databases, developing client applications, and validating data pipelines without compromising user privacy.

Design production-grade agent system prompts with XML guardrails, tool schemas, and persona directives.
Synthesize multi-turn chat fine-tuning JSONL, DPO preference pairs, and RAG evaluation datasets.
Generate realistic synthetic datasets without using sensitive production data.
Paste any SQL CREATE TABLE schema and get a relationally consistent mock dataset.
Generate optimized SQL query statements and populated schemas from natural language.
Paste OpenAPI specs or endpoint instructions to generate mock API JSON payloads.
Connect your autonomous AI agents, foundation LLMs, or RAG pipelines over HTTP. Benchmark response correctness, parameter fidelity, and negative constraint adherence with automated regression test generation.
Execute test cases against HTTP agents, evaluate tool selections, and build regression suites from failures.
Benchmark raw foundation model outputs for accuracy, safety adherence, and token efficiency.
Assess retrieval faithfulness, context relevance, and hallucination rate on golden triples.
Scan, detect, and redact personally identifiable information (PII), credentials, and financial metrics in your staging datasets. Apply character masking and data swaps to ensure compliance with HIPAA, GDPR, and SOC2.

Sanitize real customer PII, salaries, and secrets before sending to ChatGPT/Claude. Reverse de-mask in 1 click.
Mask, redact, or replace sensitive data fields like names, emails, and phone numbers.
Scan and detect PII, financial credentials, and national identifiers within your datasets.
Apply character-masking algorithms (e.g. *******) to block readability of sensitive attributes.
Convert text, code, or UTF-8 strings into standard or URL-safe Base64.
Decode Base64 payloads and data blocks back into readable UTF-8 text strings.
Percent-encode URL parameters, query strings, and special characters safely.
Decode percent-encoded URL query parameters back into plain text.
Translate schemas and interchange structures between JSON, CSV, Excel, XML, and YAML formats. Format or clean records, encode base64 payloads, and validate syntaxes client-side with zero data server storage.

Convert data tables seamlessly between CSV, JSON, XML, YAML, and Excel spreadsheets.
Convert CSV tabular data into structured JSON array string format.
Flatten complex hierarchical JSON arrays into clean CSV spreadsheets.
Extract workbook sheets from Excel (.xls/.xlsx) files to flat CSV tables.
Convert flat CSV records into formatted Microsoft Excel (.xlsx) workbooks.
Convert JSON arrays and object structures into clean formatted XML tags.
Translate XML elements and attributes into structured JSON objects.
AI-powered cleaner that detects and resolves duplicates, null values, and formatting issues.
Format, validate, prettify, or minify JSON structures with line-by-line syntax error parsing.
Choose a plan that fits your dataset volume. Every paid tier is powered directly by AWS Bedrock LLM with guaranteed zero data logging.
Test and evaluate mock data generators, format converters, and PII anonymizers with zero commitment.
Based on Claude Sonnet 5.5 official pricing ($2/MTok In, $10/MTok Out). For developers, QA engineers, and researchers needing high-volume datasets and continuous evaluation suites.
For organizations and teams needing high volume, heavy relational graphs, and customized PII masking.
Calculate the exact cost of generating synthetic test data and AI fine-tuning datasets in-house vs using Sylvaera's automated AWS Bedrock LLM engine.
Multi-turn instruction pairs, DPO preference pairs, and RAG evaluation test suites.
Our pricing is based directly on the actual costs of running Anthropic Claude Sonnet 5.5 compute ($2/MTok input, $10/MTok output), with an honest and fair margin to support high-speed AWS Bedrock infrastructure and zero-data-logging privacy guarantees.
We strictly enforce a Zero-Data-Logging privacy guarantee: your uploaded schemas, evaluation test cases, and agent responses are never stored permanently, never transmitted to unauthorized parties, and never used to train artificial intelligence models.
Technical guides covering database seeding, format conversions, CSV data sanitization, and PII anonymization principles.
Generate realistic seed data for databases, mock API responses for downstream pipelines, and write complex SQL logic.
Create thousands of test records containing realistic parameters. Cover edge cases with custom empty null simulators.
Scrub duplicate keys, spacing errors, and formats in messy spreadsheets. Convert files to JSON without writing code.
Apply GDPR, HIPAA, and India DPDP rules. Secure local browser processing ensures no information values are leaked.
Yes! Sylvaera provides 10 free full-featured invocations across all AI and relational tools with zero credit card required. All client-side file conversions (Excel, CSV, JSON, XML) and Base64/URL utilities are 100% free and unlimited forever. For production-scale generation (up to 1M Anthropic Claude Sonnet 5.5 LLM tokens and bulk exports), upgrade anytime to Developer Pro for just βΉ799 ($9)/month.
With raw API keys, you pay for both input and output tokens, plus spend 8β15 engineering hours writing Python scripts, handling JSON format errors, and resolving foreign-key relational dependencies. Sylvaera gives you 1 Million Anthropic Claude Sonnet 5.5 LLM tokens with pre-built relational integrity, mock APIs, and 1-click JSONL/SQL exports for just $9 (βΉ799)/moβsaving 95%+ in engineering costs.
Personally identifiable information (PII) anonymization detects attributes like names, emails, national IDs, and credit cards. It masks or replaces them with synthetic fakes to preserve privacy before you share data with external teams or LLMs.
Yes. The format converter extracts specific sheet tabs from Excel `.xls`/`.xlsx` files and converts them into flat CSV or JSON structures in milliseconds, completely in your browser.
Sylvaera prioritizes client-side security and zero data retention. Conversions, formatting, and codecs run entirely inside your browser. AI requests sent to AWS Bedrock LLM are ephemeral and are never stored or used for model training.
Yes. There are no lock-in contracts. You can upgrade, downgrade, or cancel your subscription at any time directly through your dashboard with instantaneous fulfillment via Razorpay.