Claude, GPT, and Gemini API integration built into your product - by a dedicated engineering team.
AI Integration Services For Australian Product Teams A Remote Dedicated Developer
A remote developer who integrates generative AI into the product your Australian customers use: summaries, drafting, document extraction and search over their own data. Onshore hosting when your customers require it, Privacy Act handling designed in, and a developer live until midnight AEST.
Generative-AI Features From Empiric Infotech LLP
Empiric Infotech LLP provides AI integration services to Australian software companies that want generative AI inside their product. A remote dedicated developer builds the features your customers will use: a summary of a long job or case history, a drafted quote or reply, fields extracted from uploaded invoices and forms, search that answers from each customer's own records, a caption written from a photo. Australian customers ask specific questions. Government and enterprise buyers often want data held onshore, so the feature can run in your AWS, Azure or Google Cloud account in Sydney or Melbourne, with model calls through Azure OpenAI or Amazon Bedrock in an Australian region. The Privacy Act and the APPs apply to the personal information in prompts and outputs, and because your developer works from India, we document their access as an overseas disclosure under APP 8 and keep it least-privilege. From December 2026, privacy policies must also explain substantially automated decisions that significantly affect people, so each feature records where AI output feeds a decision. Your developer is live from 2:00 PM to midnight AEST and ships behind feature flags, and a senior team lead reviews and tests every release. Our Australian work includes Architecture CRM, built by a single dedicated developer, which brings Google and Microsoft email, calendars and contacts into one workspace.
What our AI integration services deliver for Australian product teams
Generative AI built into your product, hosted where your Australian customers expect, with the privacy records they will ask for.
Features inside your product
Summaries of long records, drafted quotes and replies, extraction from invoices, receipts and forms into structured fields, search over each customer's own data, and captions or descriptions generated from photos. Each one ships behind a flag and rolls out by customer group.
Onshore hosting when required
The feature, its logs and its embeddings in your cloud account in Sydney or Melbourne, with model calls through Azure OpenAI or Amazon Bedrock in an Australian region when your customers or contracts require data to stay in Australia.
Privacy Act and APP handling
Personal information minimised before it reaches a prompt, retention rules on stored conversations and outputs, overseas access documented under APP 8, and logs that help you assess any incident under the Notifiable Data Breaches scheme.
Australian documents and data
Extraction tuned to local formats: tax invoices with ABN and GST, Australian addresses and phone numbers, day-month dates and AUD amounts, validated against a schema so the product receives clean fields.
Evals and cost per feature
A test set from real, anonymised Australian inputs scored on every prompt or model change, and a dashboard of token cost and latency per feature, so you know what each AI feature costs to run.
Releases in your evening
Your developer is online until midnight AEST, so new versions go out after your business hours with someone watching the first live requests, and feedback from your afternoon is usually acted on the same day.
How an Australian AI integration engagement starts
A first AI feature inside your app in the first week, built through your afternoons.
A call after lunch on AEST
Thirty minutes in your afternoon, or around noon for Perth. You show us the product, the feature you want, the data it would use and any onshore requirement from your customers.
A feature plan within 24 hours
The model and hosting options, prompt and output design, an eval set, a note on the personal information involved and an estimate on both plans in AUD. The NDA and IP assignment are signed before access.
A first feature behind a flag
Your developer starts within 48 hours and has the feature working inside your app on real inputs, behind a flag with evals running, by the end of the first week. The monthly plan's first 7 days are a trial, refunded in full if the developer is not a fit.
Monthly or hourly, invoiced in AUD
One AUD invoice a month for a full-time developer, or hours tracked to the minute. No superannuation, payroll tax or Fair Work obligations on your side, and seven days' notice to stop.
AI integration pricing in AUD: hourly or monthly
Both plans are invoiced in AUD and paid by BPAY, direct EFT or international wire, issued without GST so you self-assess under ATO rules. The monthly plan is a full-time generative AI developer for 160 to 172 hours, billed upfront, for a roadmap of AI features. The hourly plan suits one defined piece of work, such as a single feature, a privacy review of an existing feature or a move to Australian-hosted models. The AI hourly rate is above our standard rate because the work comes in short expert bursts; the monthly rate matches our standard Australian monthly rate. Model and platform usage stays on your own accounts at cost.
Hourly plan
- A generative AI developer, exclusive to you while hours are booked
- Hours tracked to the minute, with a weekly report in AUD
- Suited to one feature, or tuning a feature already in production
- Works in your Australian cloud region with your model keys
- Every release reviewed and tested by a senior team lead
Monthly plan
- A full-time generative AI developer, 160 to 172 hours a month
- Live 2:00 PM to midnight AEST, Monday to Friday
- One AUD invoice a month, no GST added; you self-assess
- 7-day risk-free trial, then seven days' notice to stop
- No superannuation, payroll tax or Fair Work obligations
Dedicated team
- Two or more developers plus a senior team lead
- For AI features across several products or customer groups
- Add a developer, or a designer for AI interfaces, within 48 hours
- Hosting and privacy answers for enterprise and government buyers
The first 90 days of AI integration with an Australian team
A typical first quarter, built through your afternoons and released in your evenings.
- Week 1
Hosting choice and a first feature
The model and region chosen, a note on the personal information involved, the feature working inside your app behind a flag, and an eval baseline. Day 7 is when you decide on the trial.
- Month 1
Released to customers
The feature live for a first group of customers, retention rules on stored prompts and outputs, cost tracked per feature, and feedback captured in the product.
- Month 2
A second feature and the decision record
A second feature on the same eval and logging setup, and a record of where AI output feeds decisions, ready for your privacy policy update.
- Month 3
Model comparison and cost
Your current model compared with Australian-hosted and cheaper options on your own evals, prompt caching where it helps, and next quarter's features planned.
A dedicated generative AI developer vs an Australian AI consultancy, an AI feature platform, or an in-house hire
| Empiric Infotech (dedicated generative AI developer) | Australian AI consultancy (project) | AI feature platform | In-house hire in Australia | |
|---|---|---|---|---|
| Onshore hosting | Your cloud in Sydney or Melbourne, with AU-region models on request | Per the project | Often offshore; check the vendor's regions | Your choice |
| Privacy Act and APP 8 | Overseas access documented; data minimised; retention rules | Usually onshore; check the sub-processors | The vendor's privacy terms | Onshore |
| Evals and cost per feature | On every change, with a cost dashboard per feature | Often at delivery only | Platform dashboards | If your team builds them |
| Hours you can reach them | Live 2:00 PM to midnight AEST | Business hours | Vendor support hours | Business hours |
| Employment obligations | None: the developer is not your employee | None | None | Fair Work, super, payroll tax, leave |
| Invoicing | One AUD invoice a month, no GST added | A project fee with GST | A subscription, often in USD | Payroll |
| Time to start | 48 hours | Weeks: proposal, statement of work, kickoff | Days to sign up, weeks to integrate | Months to hire |
The comparison describes how each option usually works, not any one provider.
Working hours and Australian time zone overlap
Our team works 09:30 AM - 07:30 PM IST and a project manager is on call 07:30 AM - 11:00 PM IST, Monday to Friday. Here is exactly when that lands for clients in the US, Europe and Australia, your region first.
Australia East (Sydney, Melbourne, Brisbane) - full team online 3:00 PM - 1:00 AM (next day), project manager 1:00 PM - 4:30 AM (next day).Live cover across the edges of your day, your morning and your evening, with a project manager who replies the same business day.
US Eastern (New York, Boston, Atlanta) - full team online 12:00 AM - 10:00 AM, project manager 10:00 PM - 1:30 PM (next day).
US Pacific (Los Angeles, San Francisco, Seattle) - full team online 9:00 PM - 7:00 AM (next day), project manager 7:00 PM - 10:30 AM (next day).
UK & Ireland (London, Dublin) - full team online 5:00 AM - 3:00 PM, project manager 3:00 AM - 6:30 PM.
Central Europe (Berlin, Paris, Amsterdam, Madrid) - full team online 6:00 AM - 4:00 PM, project manager 4:00 AM - 7:30 PM.
Want it to the half-hour in your own time? Slide through your day and book a slot below.
Why Australian product teams integrate AI with a dedicated developer
Generative AI features keep changing after launch. Real customer inputs differ from the test set, models improve or get retired, costs rise with usage, and enterprise or government customers start asking where the data goes. A project that ends at release leaves all of that with your core team.
A dedicated developer stays with the features: grows the evals from real cases, keeps hosting and privacy records current, and moves to a better or onshore model when the scores support it. Hiring that person in Sydney or Melbourne is slow, and adds superannuation, payroll tax and leave to the salary.
The hours suit Australian teams. Your developer is live from 2:00 PM to midnight AEST, or 12:00 noon to 10:00 PM AWST in Perth, so reviews happen in your afternoon and releases go out in your evening. You own the code and prompts from day one, pay one AUD invoice a month, and can stop with seven days' notice.
Recent AI, product, and integration work
Architecture CRM: one workspace for email, calendar and contacts
Google and Microsoft email, calendars and contacts brought into one CRM with secure OAuth, rate-limit handling and real-time sync, plus Stripe subscriptions and a CI/CD pipeline.
Read case studyBizBoost: captions written from photos with Gemini
Vision-aware captions generated from the actual images and videos, AI review replies and scheduled posts for Google Business Profiles, all passing through an approval dashboard before publishing.
Read case studyAcceleread: a product built for an Australian company
A speed-reading training app with personalised learning paths and progress analytics, in 24 languages, live on iOS, Android, macOS and Apple Vision Pro.
Read case studyTell us the AI feature your Australian customers want
Share the product, the feature, the data it would use and any onshore requirement. Within 24 hours you get a feature plan with model and hosting options, an eval set, a privacy note and an estimate in AUD. Your developer can start within 48 hours and is live through your afternoon.
Who This Is For
Built for Businesses Ready to
Harness AI Creativity at Scale
We partner with founders, product teams, and innovators who want AI that doesn’t just automate - it creates. From generating personalized content to building adaptive AI tools, we make sure it works for your real-world needs.
This Is for You If:
You need AI-generated outputs that meet brand, compliance, or industry standards
You’ve tried ChatGPT or Midjourney but can’t scale quality or integrate results
You want AI that can create across multiple formats : text, image, video, or code
You’re looking for secure, private AI that learns from your data without leaking it
You want generative models fine-tuned for your audience, domain, or products
You’re done with one-size-fits-all tools and need a system tailored to your workflows

What We Do
We Build Generative AI
Systems That Create Like Experts, Operate Like Engineers
We don’t stop at “prompt engineering.” We architect full-stack generative AI solutions - from model selection and fine-tuning to API integration and deployment - all designed for accuracy, reliability, and scalability.
What We Build:
AI-powered content creation pipelines (text, image, audio, video)
Domain-specific fine-tuned LLMs for better accuracy & compliance
Intelligent content moderation, filtering, and fact-checking layers
Multi-format generation workflows integrated into your existing tools
Fully automated creative processes - from ideation to publishing
Platforms & Tools We Work With (and Beyond):
We’re platform-agnostic - if it can generate, we can integrate and optimize it.
Core Capabilities

Text-to-Anything Content Generation
Produce high-quality articles, ad copy, product descriptions, and more - tailored to your brand voice and optimized for SEO or engagement.
Powered by: Chat-GPT, Claude, Gemini, custom fine-tuned LLMs

Image & Creative Asset Generation
From photorealistic product images to AI-assisted illustrations and marketing creatives - generated in seconds, not days.
Built with: Midjourney, DALL·E, Stable Diffusion

Custom Fine-Tuned Models
Train models on your proprietary data to create industry-specific AI systems that understand your niche, tone, and workflow.
Tech behind the scenes: OpenAI fine-tuning, LoRA, embeddings, Pinecone

Multimodal AI Experiences
Combine text, image, and audio generation into unified tools - for example, AI that can write a script, create visuals, and generate voiceovers in one flow.
Built using: OpenAI, ChatGPT, Runway, ElevenLabs

Data-to-Insight AI Reports
Turn raw datasets into insightful summaries, visuals, and recommendations - without a single pivot table.
Integrated into: Notion, Data Studio, PowerBI, and custom dashboards
How We Build Systems That Scale
A Collaborative Process, Built for Your Creative and Data Needs
We don’t just plug in AI APIs - we design, train, and optimize generative AI systems around your goals, workflows, and audience.
Industries We Build For
Generative AI Solutions for Every Industry
From innovative startups to enterprise-scale operations, we deploy generative AI that adapts to your sector’s unique workflows and challenges.
Industries We Serve:

SaaS & Startups
Content generation, customer onboarding, product documentation

E-commerce
Automated product descriptions, personalized recommendations, support chat

HR & Recruitment
AI-powered screening, resume parsing, interview question generation

Healthcare Admin
Clinical documentation assistance, patient communication, compliance reports

Logistics & Supply Chain
Route optimization, predictive demand planning, document automation

EdTech
Adaptive learning content, grading automation, personalized study materials
If your industry requires nuanced, context-aware AI, we can build it.
Why Empiric Infotech for Generative AI
Why Teams Trust Empiric Infotech for Generative AI Development
We don’t just integrate AI APIs - we design, fine-tune, and deploy custom generative AI systems built for real business impact.
Our Approach:

Domain-specific fine-tuning
AI that understands your industry’s language and rules

Custom model workflows
No one-size-fits-all templates

Privacy & security first
Data-safe solutions, self-hosted options available

Rapid prototyping
Validate with a functional v1 before scaling

Founder-led delivery
Direct collaboration with decision-makers

Post-launch iteration
Continuous improvement for lasting value
Tools We Work With
Flexible Tech Stack. Built Around Your Needs.
We leverage the best in AI, LLMs, and supporting infrastructure - and adapt the stack to fit your business goals.
Stack Includes:
AI & Language Models
Automation Platforms
AI Frameworks
Voice & Communication
Backend & Database

OpenAI

Claude

Gemini

Mistral

Meta LLaMA
Prefer open-source, enterprise-grade, or hybrid? We’ll build with what makes sense for you.
Why Businesses Choose Empiric Infotech LLP?
Compliance & Security
Generative AI Without Compromising Privacy or Control
What We Deliver:

GDPR-compliant data handling

Role-based access controls (RBAC)

Self-hosting options

Audit logging & retention governance
Built for teams who want the power of generative AI - without the risk.
Let’s Build the Generative AI Solution
Your Business Deserves
FAQs
Answers to Common Questions - From Founders, Ops Teams & Tech Leads
Frequently asked questions
The design, build and upkeep of generative AI features inside software your customers already use: summaries, drafting, document extraction and search over their own data. Empiric Infotech provides them through a remote dedicated developer who works in your codebase and cloud, ships behind feature flags and tests each change against evals.
A flat monthly fee in AUD for a full-time developer (160 to 172 hours), or an hourly rate for one defined feature. Current rates are in the pricing section above. It is a vendor engagement, so superannuation, payroll tax and Fair Work obligations stay off your books, and model usage stays on your own accounts at cost.
Three and a half hours inside your standard day, 2:00 to 5:30 PM AEST, and your developer stays live until midnight AEST. The project manager is available from 12:00 noon AEST, and Perth teams get 12:00 noon to 10:00 PM AWST.
One invoice a month in AUD, paid by BPAY, direct EFT or international wire. Empiric Infotech LLP is established outside Australia, so invoices are issued without GST and you self-assess under ATO rules.
Yes. The feature, its logs and its embeddings run in your own cloud account in Sydney or Melbourne, and model calls can go through Azure OpenAI or Amazon Bedrock in an Australian region when your customers require it.
By keeping access narrow and documented. Personal information is minimised before it reaches a prompt, stored outputs have retention rules, and your developer's access from India is recorded as an overseas disclosure under APP 8. The logs also help you assess any incident under the Notifiable Data Breaches scheme.
They mean knowing where AI output feeds a decision. From December 2026, privacy policies must explain substantially automated decisions that significantly affect people, so each feature we build records where its output is used in a decision and whether a person reviews it.
Per feature, from the first release. Every feature reports its token cost and latency, prompt caching cuts repeated work, smaller models handle easy inputs, and model swaps are tested on your evals before they ship, so the saving never costs quality you can measure.
You do, fully. The NDA and IP assignment are signed first, and the code, prompts and eval sets live in your repository from the first commit. With seven days' notice you can stop, and every feature keeps running in your product.
Yes. Architecture CRM, which brings Google and Microsoft email, calendars and contacts into one workspace for an Australian business, was built by a single dedicated developer, and Acceleread, a speed-reading app in 24 languages, by a two-developer team. Typical Australian engagements run 6 to 18 months.
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Tell us about your challenges, and we’ll come up with a viable solution!
















