Developer & Analytics Tools

Tools that accelerate development and analytics, plus open models for safer AI. We publish technology we build ourselves and support integration, tuning, and system development.

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Tsuzuna

Free for Personal Use

Write. Connect. Let ideas grow.

Tsuzuna is a macOS knowledge workspace that keeps documents, decisions, tasks, and mind maps in one connected context. Your data lives on your Mac first, and Personal stays free even when you use it for work.

Tsuzuna document editor with connected decisions and tasks

Documents & Structured Knowledge

The speed of Markdown with the comfort of a block editor
Keep Decisions, Tasks, and Entities connected to their source text
Local search and Ask across documents, history, and relationships

Three Mind Map Views

Thinking Map for freely developing ideas
Document Map synchronized with document structure
Knowledge Map for seeing semantic relationships

Local-First by Design

Documents, maps, history, and search indexes stay on your Mac
Optional sync only to GitHub repositories you authorize
No account required, with Markdown, JSON, and PDF export

Get Tsuzuna Free

plusq

Beta

The SQL client with an AI agent built in

plusq is a macOS SQL client for PostgreSQL, BigQuery, MySQL, Snowflake, and DuckDB. An AI agent that knows your schema sits beside you — drafting queries from plain language, explaining errors, and proposing optimizations. Bring your own API key (BYOK): your data never touches plusq servers.

An AI Agent That Knows Your Schema

The agent reads your tables and drafts queries from plain language
Error explanations and query optimizations, all in chat
BYOK with Claude, OpenAI, Gemini, Azure, Bedrock, or local Ollama — your data stays in your stack

Multi-Database, One Workspace

PostgreSQL, BigQuery, MySQL, Snowflake, and DuckDB in a single app
Smooth scrolling through 1M+ rows, with per-column types, null rates, and histograms
One-click charts and export to Excel, JSON, or Pandas

Built for Safe Operations

Git-backed .sql files, with connections and secrets kept outside the repo
Automatic BigQuery dry-runs surface scan size and cost before execution
Read-only mode blocks destructive operations on production connections

Download Free View Roadmap

PII-JA NER

Open Model

Detect Japanese PII inside your own environment

A BERT-based NER model that extracts 18 types of personal information from Japanese text, including names, addresses, phone numbers, email addresses, and IDs. We publish a quantized ONNX model under Apache-2.0 and support evaluation, tuning, integration, and system development.

ON-DEVICE INFERENCE

Choose an architecture that keeps input text away from external APIs.

The quantized ONNX model can run in browsers, mobile apps, and edge environments as well as on servers.

FORMAT: ONNX · INT8
SIZE: 105.4 MiB
LABELS: 37 BIO
LICENSE: Apache-2.0

NamesOrganizationsAddressesPhoneEmailMy NumberBank & cardsOther IDs

18 PII Entity Types

Extract names, organizations, addresses, and contact details at token level
Detect My Number, passport, driver's license, insurance, and other IDs
Identify entity spans and types with 37 BIO labels

Run in Your Environment

Local inference with ONNX Runtime or ONNX Runtime Web
Architectures that keep input away from external APIs
INT8-quantized distribution at approximately 105.4 MiB

Integration & Development

Accuracy validation and evaluation design using business data
Fine-tuning, additional training, and model optimization
Masking, review workflows, and integration into existing systems

Try the Browser Demo View Model Card Discuss Integration

Developer & Analytics Tools

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