# DigitalPath AI

**Tagline:** We Build AI Systems That Work in the Real World

**Location:** Sydney, NSW, Australia

**Website:** https://digitalpathai.com

**Contact:** https://digitalpathai.com/contact

> Sydney-based AI and data consultancy. We design and ship production AI systems — agents, RAG pipelines, and data automation — for Australian businesses. From prototype to production.

## Team

### Alex Martinez — Co-Founder · AI & Data Lead

📍 Sydney, NSW, Australia

10+ years shipping data and AI systems across finance, health insurance, and supply chain. Builds the products and writes the code that ships. PMP-certified, MIT MicroMasters in Statistics & Data Science, MSc in Project & Supply Chain Management from the University of Wollongong.

- LinkedIn: https://www.linkedin.com/in/master-pmp-alex-martinez/
- Portfolio: http://www.msc-martinez.com/

### Claire Reinthal — Co-Founder · Chief Strategy Officer

📍 Forestville, NSW, Australia

Strategic Co-Founder specialising in business positioning, growth strategy, and operational execution within AI and SaaS environments. Drives the company's strategic direction, market positioning, and go-to-market approach.

- LinkedIn: https://www.linkedin.com/in/claire-reinthal/

## How we work

DigitalPath AI operates as a small, senior team with four co-founder vertices: **Build**, **Think**, **Sell**, and **Feel**. Each vertex has a clear owner and clear scope. The full operating agreement lives in the repository at `docs/team/team-operating-agreement.md`.

### Team structure

- **Build** — Co-Founder · AI & Data Lead (Alex Martinez). Ships the code. Technical architecture, AI/ML systems, data platforms, production delivery.
- **Think** — Co-Founder · Chief Strategy Officer (Claire Reinthal). Strategy, positioning, brand narrative, go-to-market planning, partnerships.
- **Sell** — Chief Growth Officer / Head of Revenue. Revenue, B2B sales pipeline, deal closing, customer acquisition.
- **Feel** — Chief Design Officer / Head of Product Design. Product design, UX, design systems, landing pages, visual craft of everything we ship.

### Decision-making framework

- Type 1 (owner decides alone) — operational decisions inside a vertex, reversible within a week.
- Type 2 (owner proposes, team reviews 48h, owner decides) — cross-vertex impact, medium stakes.
- Type 3 (full team consensus) — company direction, equity, hiring co-founders, fundraising, major pivots.

### Cadence

- Weekly 30-min team stand-up — what shipped, what ships next, blockers.
- Monthly 90-min business review — revenue, pipeline, hiring, risks.
- Quarterly half-day strategic offsite — 12-week horizon planning.
- Async by default, sync when necessary. No meetings without a written agenda.

### Operating principles

- We ship working systems in production, not prototypes, decks, or Jupyter notebooks.
- Every deliverable has documented acceptance criteria agreed before work starts.
- We support what we ship — 1 to 6 months post-launch depending on tier.
- Client code lives in the client's repo or ours — never a black box.
- Progress over perfection: a working v1 beats a polished v0.
- Direct and honest communication. Disagree in the meeting, not in the hallway.
- Craft matters — we care about the details users feel even when they can't name them.
- Client outcomes are the measure of our work, not our own cleverness.

### What we don't do

- Generic AI strategy consulting with no implementation.
- 'AI transformation' decks without a shipping system.
- Mobile apps (out of wheelhouse).
- No-code platforms or WordPress builds.
- Subcontracting core work to offshore teams.
- Over-promising scope or capability to win a deal.

### Commercial terms

- Discovery call: free, 30 minutes.
- Written proposal within 48 hours of a discovery call.
- Fixed-price Statement of Work with written acceptance criteria.
- Payment: 50% deposit on signature, then 33-33-33 milestones for the remaining 50%.
- Currency: AUD. Net: 14 days from invoice.
- Maintenance plans available: Basic from $500 AUD/month, Standard $1,200/month, Premium $2,500/month.
- Client names are confidential under NDA — all case studies are anonymised.

### Coverage

- Industries with direct production experience: Financial Services, Health Insurance, Supply Chain & Logistics, SaaS/Tech.
- Location: Sydney, Australia. Hybrid/remote friendly. Australian-focused clients preferred.
- Company structure: 4 co-founder team model (Build + Think + Sell + Feel). Two open co-founder roles as of 2026-04-09.
- Full operating agreement lives at docs/team/team-operating-agreement.md (v1, 2026-04-09).

## What we do

### Intelligent Automation

Automate repetitive workflows using AI-driven pipelines that connect your systems, extract data, and trigger actions with precision — saving time and reducing human error.

### Conversational AI

Integrate intelligent chatbots and virtual assistants capable of reasoning, retrieving knowledge, and maintaining memory across conversations to enhance client engagement.

### RAG-based Knowledge Systems

Real-time knowledge retrieval through Retrieval-Augmented Generation (RAG), so your AI provides accurate, context-aware responses from internal or client data.

### AI-Powered Analytics

Transform business data into actionable insights with advanced analytics, predictive models, and intelligent dashboards tailored to your KPIs.

### Custom AI Solutions

Tailored AI systems — from data processing and predictive modelling to automation and NLP — aligned with your business strategy.

### Scalable Infrastructure

Deploy AI applications using Docker, Cloudflare, and scalable cloud infrastructure — ensuring performance, reliability, and security.

## Products we've built

We've shipped three live SaaS products in production. Each one is public, used by real customers, and built on the same patterns we offer to clients.

### AusCovers — Health insurance intelligence

Compare, analyse, and make smarter decisions about Australian health cover with AI-powered recommendations.

**URL:** https://auscovers.com

### Datly — AI-assisted data modeling

Database schema visualisation and AI-assisted data modeling for developers and data teams. Supports PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, Oracle.

**URL:** https://datly.tech

### Dialoga — Conversational AI platform

Enterprise chat platform for building intelligent assistants and business chatbots powered by LLMs. Multi-tenant, real-time WebSocket messaging, video calls.

**URL:** https://dialoga.tech

## Building Blocks (reusable implementation modules)

Battle-tested modules from our own products. Each one is already shipped in production and can be dropped into a client's stack.

### Stripe Billing & Subscriptions — From $3K AUD

Full subscription billing wired up: checkout, customer portal, webhook handlers for the events that actually matter (subscription created/updated/cancelled, payment failed), and Django sync jobs for renewals.

**Shipped in:** AusCovers

### Authentication & OAuth — From $2K AUD

Email/password sign-in, Google and GitHub OAuth, password reset flows, email verification, secure HttpOnly cookies with refresh token rotation and reuse detection.

**Shipped in:** AusCovers, Datly, Dialoga, DigitalPath AI

### Centralised Auth Hub (multi-platform SSO) — From $6K AUD

One Hub, many apps. A single user account works across every product you ship — same credentials, same OAuth, central admin. Per-platform approval gates, token revocation events, and platform-scoped roles.

**Shipped in:** DigitalPath AI, Dialoga

### Contact Form with Smart Routing — From $800 AUD

Spam honeypot, server-side validation, per-platform email routing, and the message goes straight to the right inbox — not a generic catch-all. With success/error UX baked in.

**Shipped in:** DigitalPath AI, Datly

### Conversational AI & Chatbots — From $5K AUD

RAG-powered chatbots and intelligent agents grounded in your own knowledge base. Multi-tenant chat platform with WebSocket real-time messaging, channels, attachments, and LLM-backed assistants.

**Shipped in:** Dialoga

### AI-Assisted Data Tools — From $4K AUD

Database schema visualization, AI-powered SQL dialect conversion, document-to-data extraction with LLMs. Embeddable widgets or standalone apps.

**Shipped in:** Datly

## Services (project tiers)

### Data Foundation — From $5K AUD

**Delivery:** 2-3 weeks · **Support:** 1 month included

Build a solid data infrastructure with centralized databases, ETL pipelines, and quality monitoring.

**Included:**
- Custom database architecture
- ETL pipeline (CSV, PDF, APIs)
- Data quality dashboard
- Client portal access
- 1 month support

### Intelligent Automation — From $8K AUD

**Delivery:** 3-4 weeks · **Support:** 3 months included

Automate reporting and data analysis with AI-powered assistants and custom dashboards.

**Included:**
- Everything in Data Foundation
- Automated report generation
- RAG-powered AI assistant
- 3 custom dashboards
- API integrations
- 3 months support

### Predictive Intelligence — From $15K AUD

**Delivery:** 6-8 weeks · **Support:** 6 months included

Full predictive analytics platform with machine learning models and collaborative workspaces.

**Included:**
- Everything in Intelligent Automation
- Custom ML forecasting models
- Advanced analytics dashboard
- Multi-user collaboration
- Quarterly model retraining
- 6 months support

**Pricing notes:** Project-based pricing. The starting price is an anchor — final quote depends on scope and is delivered in writing within 48 hours of a discovery call. Standard payment terms: 50% deposit on signature, then 33-33-33 milestones.

## Case Studies

Anonymised. Client names are confidential under NDA. Happy to walk through specifics on a discovery call.

### Financial Services

**Challenge:** An Australian financial advisory firm was spending hours per analyst manually extracting data from PDF statements, prospectuses, and Morningstar feeds into spreadsheets — a bottleneck that delayed every research cycle.

**What we built:** AI-powered document processing pipeline using LLMs to extract structured data at scale, plus an ETL pipeline that ingested Morningstar feeds straight into PostgreSQL. Reporting was rebuilt as automated jobs analysts could trigger on demand.

**Outcomes:**
- ~70% less manual data entry
- Days → hours data refresh cycles
- ~40% faster analytics queries

**Stack:** Python, LLMs, PostgreSQL, ETL, REST APIs

### Health Insurance

**Challenge:** A private health insurer wanted to predict which members were most likely to churn so they could intervene earlier. Legacy reporting was manual, inconsistent across teams, and couldn't surface signals fast enough to act.

**What we built:** Predictive models for customer churn and lifetime value in Python, plus self-service Power BI and Qlik Sense dashboards on top so retention, marketing, and exec teams could all work from the same numbers — no analyst in the loop.

**Outcomes:**
- ~40% less manual reporting time
- Predictive churn & LTV models in production
- Multi-team self-service dashboards

**Stack:** Python, Scikit-learn, Power BI, Qlik Sense, SQL Server

### Supply Chain & Logistics

**Challenge:** A food supply chain operator was drowning in operational data — orders, inventory, deliveries — across systems that didn't talk to each other. They needed visibility into bottlenecks and a way to spot trends before they became problems.

**What we built:** Data-driven optimisation workflows: consolidated raw operational data, applied ML to surface patterns, and automated reporting in Python so the team got daily updates without anyone touching a spreadsheet.

**Outcomes:**
- Significant reduction in manual analysis time
- Automated daily ops reporting
- Trend signals from large operational datasets

**Stack:** Python, SQL, Machine Learning, BI Tools

## Frequently Asked Questions

### What services does DigitalPath AI offer?

Three project tiers — Data Foundation (from $5K AUD), Intelligent Automation (from $8K AUD), and Predictive Intelligence (from $15K AUD) — plus six reusable Building Blocks (Stripe billing, authentication, auth hub, contact form, chatbots, AI data tools).

### How long does a typical project take?

Data Foundation 2-3 weeks, Intelligent Automation 3-4 weeks, Predictive Intelligence 6-8 weeks. Each includes weekly progress updates.

### What data sources can you integrate?

Virtually anything: CSV/Excel files, PDFs, REST APIs, web scraping, direct database connections (PostgreSQL, MySQL, MongoDB, SQL Server), and third-party services. ETL pipelines handle validation, cleaning, and transformation.

### Do you work with businesses outside of Australia?

Yes — though we're Sydney-based and primarily serve Australian SMEs. International clients are welcome but expect Sydney-hours collaboration.

### What kind of support do you provide after project completion?

All packages include initial support (1-6 months depending on tier). After that, maintenance plans range from $500/month (Basic) to $2,500/month (Premium with 24/7 support and a dedicated account manager).

### What technology stack do you use?

Django and Django Ninja for backend APIs, Next.js and TypeScript for frontend, PostgreSQL for databases, Redis for caching, Celery for background jobs, Docker for containerization. AI: LangChain, ChromaDB, Anthropic Claude, OpenAI GPT-4. Cloud: AWS, Cloudflare.

### How do I get started with DigitalPath AI?

Book a complimentary 30-minute discovery call. Within 48 hours we deliver a written proposal with scope, timeline, and fixed price. Most projects launch within 2 weeks of contract signing.

### Can you handle sensitive or regulated data?

Yes. HTTPS encryption, secure authentication, role-based access control, regular security audits. Infrastructure can meet compliance equivalents for healthcare and finance. Australian server hosting available.

## Contact

Book a free 30-minute discovery call: https://digitalpathai.com/contact. We deliver a written proposal within 48 hours of the call.