AI Chatbot · RAG · Agentic AI · GenAI Apps · Automation · Custom LLM

We agree on accuracy benchmarks before we choose a model.

That single step is why EB Pearls AI projects work in production, not just in the demo. We prototype against your real data, lock scope and price in writing, and stay accountable for 12 months after launch. You see it working before you commit to building it.

#1 Clutch Global 2021–2024
21 years in business
100% IP Yours

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4.9 Star Clutch Reviews

50+

AI Systems in Production

$9.6B

Revenue delivered for clients

4.9

Clutch Globally Running

ISO 9001 & 27001

Certified AI builds

Trusted by Australia's most recognised brands & ambitious founders

Why most AI projects fail in production and what we do differently?

3 minutes. No pitch. The honest version of what separates AI that works in a boardroom demo from AI that runs a business every day.

EML Insurance
65% improvement in AI claims resolution after two previous vendors failed to deliver in production. EB Pearls built the system with human escalation points, a full audit trail, and accuracy benchmarks agreed before a single model was chosen.

Find your build type. Get a real price.

Six AI build types. Each with honest pricing, realistic timelines, and a prototype phase so you see it working before you commit to the full build.

Build type 01

AI Chatbot & Virtual Agent

Conversational AI that handles customer queries, internal helpdesk, or guided workflows, trained on your knowledge base, not generic internet data.

RAG-powered from your own documents and data
Hallucination benchmarks set before deployment
Human handoff logic built in as standard
Integrates with your CRM, ticketing, or website

From

$20K

Prototype in 3–5 weeks

Build type 02

RAG Pipeline (Knowledge Base AI)

AI that answers questions accurately from your documents, policies, contracts, or databases - without hallucinating facts that aren't there.

Retrieval-Augmented Generation, grounded in your data
Accuracy benchmarks agreed before model selection
Works across PDFs, databases, internal wikis, and APIs
Audit trail of every response for compliance

From

$40K

Prototype in 4–6 weeks

Build type 03

Agentic AI

AI that doesn't just answer — it acts. Books appointments, processes documents, triggers workflows, and completes multi-step tasks autonomously

Human-in-the-loop for high-stakes decisions
Full audit trail of every action taken
Integrates with your existing systems and APIs
Fallback and override logic built in from day one

From

$80K

Prototype in 5–8 weeks

Build type 04

GenAI Application

A full product built around generative AI - content generation, document analysis, personalisation engines, or AI-native user experiences.

Custom model selection based on accuracy benchmarks
Cost monitoring and token alerting from sprint one
Production architecture built for 10x your launch load
100% IP transfer — no vendor lock-in

From

$60K

Prototype in 4–8 weeks

Build type 05

AI Automation Workflow

Automate the manual, repetitive work your team does every day - document processing, data extraction, classification, and cross-system handoffs.

Integrates into the systems you already use
Measurable ROI scoped before build begins
Error handling and exception queues built in
No new platform to manage, runs inside your stack

From

$30K

Prototype in 3–6 weeks

Build type 06

Custom LLM Integration

Connect the right language model to your existing product, internal tools, or data pipelines with cost controls, fallback logic, and accuracy monitoring from day one.

Model selection based on performance benchmarks, not defaults
Fine-tuning where it genuinely improves accuracy
Cost monitoring before your first production call
On-premise or Australian-hosted options available

From

$25K

Prototype in 3–5 weeks

See if your situation matches

If it does, this will be 30 minutes well spent. If it doesn't, we'll tell you honestly on the call and point you toward who can help.

Book Your Free Discovery Call

Situation 01

You have a validated AI use case and need a team that builds it to work, not just demo.

You know what you want to build. You may have a proof-of-concept. What you need is a team that gets it right the first time, with accuracy benchmarks, cost monitoring, and architecture designed to scale from day one.

Working AI prototype in 4–8 weeks
Accuracy and hallucination standards agreed before build
Cost monitoring from day one — no infrastructure surprises
12 months post-launch support as standard

Book a Free Discovery Session

Situation 02

You want to build something specific but don't know what it costs or how long it takes.

You've seen what AI can do and want an automation, or a GenAI feature built for your business, but every vendor gives you a different number, and nobody will commit to a timeline. You need clarity before you commit.

Real cost range in your first 30-minute
Fixed scope agreed in writing before build starts
Prototype against your real data — see it before you pay for it
No "it depends" — specific answers to specific questions

Book a Free Discovery Session

Situation 03

Your AI launched. Now accuracy is drifting, costs are spiralling, or users stopped trusting.

It worked in the demo. Now something's wrong, and your current vendor doesn't have the capacity or honesty to diagnose. You need someone to identify the root cause before spending more on fixing the wrong thing.

Free AI technical audit: accuracy, cost, latency, architecture
Honest diagnosis before any recommendation
Plain-English report — what's solid, what's fragile, what it costs to fix
Drift detection and cost monitoring implemented from day one

Book a Free Discovery Session

What separates EB Pearlsfrom most AI agencies.

We'd rather you read this than find it out three months into a project.

Other Aussie Agencies

EB Pearls

Monthly Fee

Starting Month 2

$8000

Per Month

Accuracy standards

Hallucination thresholds and performance benchmarks - when are they set?

Prototype on your real data

Is the prototype built against your actual data and edge cases or curated demo inputs?

12 months post-launch support

Monitoring, drift detection, and model improvement after go-live are included as standard, not renegotiated.

Cost monitoring from day one

Token usage alerting is configured before your first user arrives, not after the bill shock arrives.

100% IP transfer on delivery

All code, pipelines, and documentation assigned to you at delivery, no platform dependency, no lock-in.

Australian data sovereignty

Data processed and stored in Australia, Privacy Act compliant, with on-premise options for regulated industries.

Proven production track record

Not demos - 50+ AI projects running in production, across insurance, health, finance, and enterprise.

Pricing transparency

A real cost range in your first 30-minute call, not withheld until you've committed to three meetings.

R&D Grant Eligibility

43.5% Tax incentive from Australian Federal Government for every dollar spent on R & D

Monthly Fee

Starting Month 2

$8000

Per Month

Accuracy standards

Hallucination thresholds and performance benchmarks - when are they set?

Prototype on your real data

Is the prototype built against your actual data and edge cases or curated demo inputs?

12 months post-launch support

Monitoring, drift detection, and model improvement after go-live are included as standard, not renegotiated.

Cost monitoring from day one

Token usage alerting is configured before your first user arrives, not after the bill shock arrives.

100% IP transfer on delivery

All code, pipelines, and documentation assigned to you at delivery, no platform dependency, no lock-in.

Australian data sovereignty

Data processed and stored in Australia, Privacy Act compliant, with on-premise options for regulated industries.

Proven production track record

Not demos - 50+ AI projects running in production, across insurance, health, finance, and enterprise.

Pricing transparency

A real cost range in your first 30-minute call, not withheld until you've committed to three meetings.

R&D Grant Eligibility

43.5% Tax incentive from Australian Federal Government for every dollar spent on R & D

These aren't marketing claims. They're the specific commitments written into every EB Pearls AI contract, verifiable by any client we've worked with.

4.9 Clutch Reviews

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Can AI just build your app?

Honestly - parts of it, yes. We use AI tools on every project.

Here's what that actually means for yours.

What AI still can't do

Decide how your architecture should scale to 100K users

Make security and compliance judgements for your industry

Manage a project, a client relationship, or a missed deadline

Own the outcome when something fails after launch

Replace the engineer who designed the system and understands why

What AI does in our builds

Generates boilerplate code in minutes not days

Accelerates test coverage across the codebase

Automates documentation as the build progresses

Helps our engineers ship faster without cutting corners

Identifies bugs and edge cases during development

The honest truth

AI tools make experienced developers faster. They don't replace the judgement, architecture decisions, and accountability that determine whether your platform survives contact with real users at scale.

From first conversationto production AI.

No surprises. No mystery. Here's exactly what happens at every step — and what you'll know before committing to each one.

Book Your Free Discovery Call

AI Discovery Session

A senior AI strategist reviews your form before the call. In 30 minutes, you'll know: whether your AI use case will work in production, what to build first, what it will realistically cost, and what the three biggest risks are. NDA signed before any detailed discussion. No pitch. No obligation.

AI Prototype

A working prototype against your actual data, not a mockup, not curated demo inputs. You see real AI behaviour, including edge cases and failure modes, before committing to the full build.

Scope, cost, and architecture

Technical specification, integration map, cost model, and delivery plan documented and agreed before development begins. Fixed-price per milestone. No estimates that triple later. Written approval required for any variation.

Sprint build

Two-week sprints. Working AI at the end of every cycle - not status reports. Cost monitoring from sprint one. Accuracy tracked against benchmarks throughout.

We don't disappear after launch

Drift detected before your users notice. Costs are monitored before they spiral. Model retrained as your data evolves. 12 months of monitoring, improvement, and support, included as standard, not negotiated separately.

Most AI is built to demo.Ours is built to last.

After 50+ AI projects in production, the failures that surface six months after launch almost always trace back to decisions skipped in week one. Four pillars. Every EB Pearls AI project. No exceptions.

AI you can actually rely on

Accuracy

Benchmarks defined before model selection — not after
RAG grounds every response in your real data
Hallucination testing before every deployment
Bias testing for regulated environments
Confidence scoring with graceful fallback

Systems that keep working

Reliability

Fallback mechanisms — graceful degradation built in
Human-in-the-loop for high-stakes decisions
24/7 monitoring before your first user arrives
Audit trails for regulated industries
Architecture built for 10x your launch load

Spend that stays predictable

Cost control

Token cost monitoring and alerting from day one
Query optimisation before costs multiply
Fixed scope per sprint — no surprise invoices
Infrastructure right-sized for actual usage
Cost visibility in every fortnightly demo

Your AI. Completely.

Ownership

100% IP transferred to you on delivery
No proprietary frameworks — no lock-in
All data processed under Australian Privacy Act
Full documentation — any team can maintain it
Australian-hosted infrastructure available

Vodafone Fiji saw a 150% boost in engagement — and millions in new revenue.

We helped redesign and rebuild their app from the ground up. The result? Better UX, higher engagement, and real revenue growth. Great app development makes all the difference.

Evolve • Telecom

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From zero to 10,000+ bookings and aiming for 250% growth.

We built Bahah a simple, scalable app that helped them grow fast. With momentum building, we’re still working together to take it even further.

Startup • Marketplace

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What clients say after launch, not before it.

No stock photography. No anonymous quotes. Real clients, real companies, real outcomes.

Approachable and accommodating to our exact needs and requirements. Our mobile app’s reception and engagement have been great, and the design is very user-friendly. EB Pearls is very professional, always on track, and always delivers to our expectations.

Roberto Peresa

Founder, Aguzzo Group

The MVP has exceeded expectations, and EB Pearls’ quality work has allowed the client to secure funding to continue the project. The team is highly skilled and professional; they’re open and easy to work with.

Gerhard Stander

Founder, Caroo App

We’re very happy with the results of EB Pearls’ work. Since its launch, the app has had over 7,000 downloads, with around 6,000 users completing the signup process in the first 6 weeks.

Giuseppe Saffioti

Co-Founder, Intro Dating App

It can be a little daunting to engage a mobile app development company. They proved they could work within my budget, made me realise the ideas stuck inside my brain, and helped me launch multiple mobile app development projects.

Jesse Milani

Founder, Pocket Fuel

EB Pearls provided great clarity on the scope, timeline, design, and stages of developing our app, which gives users access to a database of more than 1,000 roles. They stuck rigidly to our production schedule and delivered as promised.

Mike Fields

Director, Care Careers

I found ebPearls great to work with, always willing to make changes and work close with the customer,I have highly recommended them to my friends and colleagues,great work ebPearls.

Simon Lister

Founder

We’re extremely impressed with EB Pearls’ work, technical skill, and ability to adapt, iterate, and learn new skills. Their high attention to detail and eternally positive attitude make working with EB Pearls a wonderful experience.

Sarah Scaife

Product owner, BAXTA

I have found EB Pearls great to work with. They offer high level, innovative and affordable app development. I appreciate that they view our business relationship through a long term lense, always working to find a solution that will help my business's growth. I look forward to continuing to work with the EB Pearls team.

Lisa Brown

Founder, Impact apps

The company saved $200,000–$400,000 using EB Pearls. The team's QA services also helped the firm resolve issues by being responsive to requests and highly involved in project management. Their resources had the right technical skills; their leasing service model gave the client great flexibility.

Wayne Wen

Product Manager, Coposit

EB Pearls do high-quality work in the allotted timeframe. They maintain clear and consistent communication, providing updates on key project components and listening to feedback. There are numerous different stages, processes, and statuses in our project which made the work very complicated, but EB Pearls worked it all out.

Blake Weston

Find Fill Storage

Things we hear in almost every first call.

We'd rather answer them here so your Discovery Session is about your project, not about us.

Not always, but for AI projects, we strongly recommend it. A prototype against your real data tells you things a scoped proposal never can — how the model actually behaves on your edge cases, what accuracy looks like before you've spent $150K, and whether the architecture actually works.

An NDA is signed before any detailed project discussion. The Discovery Session only requires a high-level description of the problem you're trying to solve. We've handled AI projects in healthcare, finance, and government for 20 years under strict confidentiality.

We map all data flows in Week 1 before any commitment. Sensitive fields are anonymised before reaching any third-party model. Australian-hosted infrastructure and on-premise deployment available for regulated industries.

Sometimes yes, and we'll tell you in the first 30 minutes. Off-the-shelf is right for generic use cases. Custom AI is right when you need it trained on your data, integrated into your systems, and accurate enough to depend on. We won't recommend a custom build if a platform solves your problem.

We set accuracy benchmarks and hallucination thresholds before choosing a model, not after. RAG grounds responses in your real data so the model can't invent facts that aren't there. This is the single step most AI agencies skip.

The most common failures: demos on curated data, no post-launch support, vendors who disappeared. Every one is addressed in our contracts — accuracy benchmarks in writing, 12 months support as standard, prototype on your real data before you commit.

1 Your Information

2 Book Meeting

3 Confirmation

Validate your AI before you spend a dollar building it.

A decision-clarity call, not a sales call. 30 minutes with a senior AI strategist.

NDA before any details. No pitch. No obligation. If we're not the right fit, we'll tell you who is.

You'll leave this call knowing:

1 Whether your AI use case will work in production — and what the risks are
2 Which build type is right for your situation (chatbot, RAG, agentic, or automation)
3 A specific cost and timeline range — not "it depends"
4 Whether EB Pearls is the right fit — and if not, who is
5 What the first three steps of a properly scoped AI project look like

You'll leave this call knowing:

1 Whether your AI use case will work in production — and what the risks are
2 Which build type is right for your situation (chatbot, RAG, agentic, or automation)
3 A specific cost and timeline range — not "it depends"
4 Whether EB Pearls is the right fit — and if not, who is
5 What the first three steps of a properly scoped AI project look like

We agree on accuracy benchmarks before we choose a model.

Why most AI projects fail in production and what we do differently?

Find your build type. Get a real price.

AI Chatbot & Virtual Agent

RAG Pipeline (Knowledge Base AI)

Agentic AI

GenAI Application

AI Automation Workflow

Custom LLM Integration

See if your situation matches

You have a validated AI use case and need a team that builds it to work, not just demo.

You want to build something specific but don't know what it costs or how long it takes.

Your AI launched. Now accuracy is drifting, costs are spiralling, or users stopped trusting.

What separates EB Pearlsfrom most AI agencies.

Other Aussie Agencies

EB Pearls

Can AI just build your app?

What AI still can't do

What AI does in our builds

The honest truth

From first conversationto production AI.

AI Discovery Session

AI Prototype

Scope, cost, and architecture

Sprint build

We don't disappear after launch

Most AI is built to demo.Ours is built to last.

Accuracy

Reliability

Cost control

Ownership

Real results from real projects

Vodafone Fiji saw a 150% boost in engagement — and millions in new revenue.

A Complete Platform for Allied Health Providers

From zero to 10,000+ bookings and aiming for 250% growth.

💥 You deserve a straight answer about your AI.

What clients say after launch, not before it.

Things we hear in almost every first call.

Do I need a prototype before committing to a full build?

I have IP and confidentiality concerns.

What happens to our data? Does it leave Australia?

Can't I just use an off-the-shelf AI tool?

How do you handle hallucinations and accuracy?

We had a bad experience with an AI vendor before.

Validate your AI before you spend a dollar building it.

You'll leave this call knowing:

You'll leave this call knowing: