Privacy‑First AI Solutions for Regulated Businesses

From synthetic data generation to private, locally deployed AI systems. Explore the demo instantly — talk to us when you're ready to go deeper.

AI Solutions & Enablement

SynthFin partners with regulated teams to plan, deploy, and operate AI safely across core workflows.

Enquire About AI Solutions
  • Private and local AI deployment (on-prem / private cloud)
  • AI systems designed for privacy and compliance
  • Workflow automation using AI
  • Decision-support and internal AI tools
  • Synthetic data as part of a broader AI strategy

SynthFin works with businesses beyond the demo — from strategy to implementation.

Private & Local AI Deployment

Keep inference and data inside your own perimeter with on-prem or private cloud installs.

  • Run LLMs locally for maximum privacy
  • Secure on-prem AI architecture design
  • Private inference pipelines
  • Aligned to data sovereignty requirements

AI Enablement for Business Operations

Identify and launch AI that improves day-to-day processes, not just proofs of concept.

  • Automated document analysis and extraction
  • AI-assisted credit, risk, and compliance workflows
  • Internal knowledge assistants and decision support
  • Workflow automation using AI agents

Synthetic & Privacy-Safe Data Solutions

High-fidelity datasets that accelerate development while protecting customer information.

  • Train and test AI systems safely
  • Enable model development without real PII
  • Support privacy-preserving analytics
  • Integrate into broader private AI strategies

Self-Serve Demo

The SynthFin demo allows you to explore synthetic data generation instantly. No booking required — simply sign up and launch the demo.

For custom AI solutions, private deployments, or advisory support, we encourage you to get in touch.

Keep the app as your proof point while we align on requirements and deployment options.

Built for Finance. Ready for AI.

Deploy private AI stacks and privacy-safe data pipelines with controls suited to financial services, government, healthcare, and other regulated industries.

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Finance‑Ready Datasets

Loans, transactions, and credit apps that mirror reality.

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Regulator Aligned

APRA, OAIC, and GDPR‑ready compliance.

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API & CSV Delivery

Integrate or download in seconds.

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Configurable Edge Cases

Stress‑test rare defaults and fraud.

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Privacy by Design

Generated without real customer data.

Fast & Scalable

Spin up millions of rows quickly.

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Local & Private Deployments

Run models in your environment to keep inference contained.

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Secure Pipelines

Hardening guidance for data ingress, storage, and monitoring.

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Operational Enablement

Templates for credit, risk, and compliance workflows.

Practical AI Use Cases

Private & Local Deployment

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Run Local LLMs

Serve models inside your network for privacy-first inference.

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Segregated Environments

Design on-prem clusters with clear data boundaries.

Operations & Risk

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Document Automation

Extract, summarise, and triage financial documents.

Credit, Risk, Compliance

Guide decisions with private assistants and scoring aids.

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Agentic Workflows

Automate repetitive tasks with monitored AI agents.

Synthetic & Privacy-Safe Data

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Training & Testing

Generate balanced datasets for LLMs and tabular models.

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Staging & Demos

Seed QA, staging, and sales environments without PII.

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Research & Analytics

Enable teams to explore patterns without exposing real records.

Private & Local AI Deployment

Deploy AI models directly within your own infrastructure — on-premise or private cloud — ensuring sensitive data never leaves your environment.

SynthFin assists businesses with:

  • Running LLMs locally for maximum privacy
  • Secure on-prem AI architecture design
  • Private inference pipelines
  • AI systems aligned with data sovereignty and compliance requirements

Ideal for financial services, government, healthcare, and regulated industries.

No data sharing. No third-party model training. Full control.

We design private inference pathways, manage infrastructure hardening, and provide runbooks for monitoring so your teams can operate AI with confidence.

Use cases include:

  • Automating document analysis and data extraction
  • AI-assisted credit, risk, and compliance workflows
  • Internal knowledge assistants
  • Decision support tools powered by private models
  • Workflow automation using AI agents

AI Enablement for Business Operations

We help businesses identify where AI can deliver immediate operational value — not just experimentation.

Our approach focuses on practical deployment, measurable outcomes, and minimal disruption to existing systems.

Synthetic & Privacy-Safe Data Solutions

Synthetic data is one of several tools we use to help organisations innovate safely.

We generate high-fidelity synthetic datasets to:

  • Train and test AI systems
  • Enable model development without exposing real customer data
  • Support privacy-preserving analytics and research

Synthetic data can be delivered standalone or integrated into a broader private AI strategy.

Choose ready-made financial datasets or define custom schemas for your domain. Delivery options include API streaming, secure file exchange, or deployment inside your own environment.

How It Works

Step 1

Pick a Dataset

Loans, transactions, or credit apps.

Step 2

Set Volume & Rules

Define schema, size, and edge cases.

Step 3

Export or Stream

Download CSV or connect via API.

How We Work

SynthFin works as a technical partner, not just a software provider.

We adapt our involvement based on your internal capabilities and regulatory requirements.

Engagement models include:

  • Advisory and AI strategy design
  • Hands-on implementation and deployment
  • Local AI installation and configuration
  • Custom synthetic data generation
  • Ongoing optimisation and support

FAQ

Is the data compliant?

Yes—generation aligns with APRA and OAIC expectations and never uses real customer data.

How realistic are the datasets?

Synthetic records mirror real loan, transaction, and application behaviour while staying privacy-safe.

Can I train LLMs and tabular models?

The same datasets can fine-tune LLMs and power tabular models without extra prep.

How many rows do I need?

PoCs start around 10k rows, and production models see best results with 50k–100k+; we scale into millions.

Can I request custom schemas?

Enterprise plans let you define custom schemas, edge cases, and deployment options.

What support and SLAs do you provide?

Business and Enterprise tiers include priority support and formal SLAs.