Introducing the 4-Month AI FrameworkRead the guide

Fixed price. No surprises. You know the total before we start.

Most enterprise AI vendors quote hourly and let scope creep do the rest. We scope to a fixed price based on real engineering hours, so you know the total investment upfront.

Prices in AUDAustraliaFixed price

Focused Build

A$65K to A$95KFixed price

One clear use case, one system, fast time to value.

  • Single AI system (chatbot, automation, or pipeline)
  • 1 to 2 system integrations via API
  • 3 to 4 month delivery timeline
  • Direct access to technical founders
  • 30 days post-launch support included
  • Full code ownership and IP transfer
Most Common

Enterprise Build

A$110K to A$160K

Multi-system AI deployment with compliance and scale built in.

  • Custom LLM app, agent system, or decision intelligence layer
  • 3 to 5 system integrations (Salesforce, SAP, internal tools)
  • 4 to 5 month delivery timeline
  • Compliance built in (SOC 2, GDPR, HIPAA where applicable)
  • Team training and full documentation
  • 30 days post-launch support included
  • Full code ownership and IP transfer

Phased Transformation

A$160K to A$240K+

Multi-phase rollout across several use cases over 9 to 12 months.

  • Phase 1: automate top pain point, measure payback (Mo. 1 to 4)
  • Phase 2: scale to 3+ use cases (Mo. 5 to 8)
  • Phase 3: full enterprise deployment (Mo. 9 to 12)
  • Stop after any phase if the numbers do not hold up
  • Dedicated engineer assigned to your account
  • Full code ownership and IP transfer

Not sure which build fits your problem?

Let’s find out together on a 30-minute discovery call with the founders who write the code.

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Deepcut Collections

Compare builds

Enterprise Build

A$110K to A$160K

AI systems delivered
Multi-system
System integrations
3 to 5
Delivery timeline
4 to 5 months
ROI checkpoint before the next phase
-
Technical founders write the code
Full code & IP transfer
Production-grade from day one
Custom LLM app, agent or decision layer
Security built in (SOC 2 and GDPR guidance, HIPAA safeguards)
Data pipeline engineering
Full documentation
Team training
Included
30 days post-launch support
Retainer support option
Dedicated engagement lead
Fully managed service option
On request
Pricing model
Fixed price
Typical investment
A$110K to A$160K
ROI projection before signing
Milestone-based payments
Hourly billing
-

All ranges are fixed-price for a defined scope, confirmed after your discovery call. No hourly billing, ever.

Why Fixed Price

Hourly billing protects the vendor.Fixed price protects you.

Every engagement is quoted fixed-price after a discovery call, based on your specific scope. These are ballpark starting points, not final quotes.

Four factors determine your pricescoped on engineering hours, not sales targets

edgefirm.io/quote
FactorScoped asWeight
01System Integrations
3 · CRM, ERP, docs70%
02Data Volume & Complexity
4 sources, partial cleanup55%
03Compliance Requirements
Security and GDPR45%
04Team Training Needs
2 workshops + docs25%
Fixed quote, locked at signing
A$110K to A$160K

Hourly billing protects the vendor.Fixed price protects you.

edgefirm.io/why-fixed-price
The Problem With Hourly BillingHow We Price Instead
Scope creep turns a A$95K estimate into a A$240K invoice
One number, agreed before any code is written
Vendors have no incentive to move fast
Scoped on real engineering hours, not sales targets
Budget approval becomes a guessing game for finance
Faster delivery is in our interest too, since the price doesn't change
“Discovery phases” that run for months with no commitment
Payback model delivered before you sign anything

Because we're engineers first, not salespeople.

How we talk about returnsreturn, not a demo, is the deliverable

edgefirm.io/case-studies
OutcomeBasisResult
Typical build time
Measured4 to 5 mo
Support queries handled in under 30 seconds, Eona (client-reported)
Measured70%
Payback modeled before you sign
MeasuredModeled

How we get to your fixed priceone number, one timeline, one payback model

edgefirm.io/proposal
EFEdgeFirm · ProposalWithin a week

Fixed-Price Proposal

ScopeTimelinePaybackTerms
  1. Discovery Call30 minutes. We learn your challenge, systems, and constraints. No sales pitch.
  2. ScopingWe map the work to actual engineering hours, not a sales target.
  3. 3Fixed Quote + Payback ModelYou receive one number and a payback model, typically within a week.
  4. 4Sign & BuildPrice is locked. We build to that number, on the agreed timeline.

How our pricing model comparesvs big consultancies and offshore dev shops

edgefirm.io/compare
What You GetEdgeFirm
Pricing modelFixed price, agreed upfront
Typical timeline4 to 5 months
Who writes your codeTechnical founders directly
Code & IP ownership100% yours
Payback model before signingIncluded
Talk to our founders

Get your fixed-price quote

Book a 30-minute strategy call with our technical founders. No sales pitch, just an honest conversation about cost, timeline, and fit.

Common questions

Frequently Asked Questions

Our projects typically range from A$65K to A$160K depending on complexity. Factors that affect pricing include the number of systems to integrate, data volume and complexity, compliance requirements, team training needs, and the ongoing support model. We build a payback model during the discovery phase, before you sign. Deloitte's 2025 survey found most firms reach satisfactory AI returns in two to four years, so we start with the process that pays back fastest. Unlike hourly billing, we quote fixed-price for a defined scope, so you know the total investment upfront.

Hourly billing gives the vendor no incentive to move fast, and it leaves you exposed to scope creep. With a fixed price, we agree to one number before any code is written, scoped on real engineering hours rather than a sales target. If we move faster, that's our upside, not an extra invoice for you.

We break it into phases. For example, instead of an 18-month “AI transformation,” we deliver: Months 1-4, automate your #1 pain point and measure payback. Months 5-8, scale to the next 3 use cases based on learnings. Months 9-12, full enterprise deployment. You get value every 4 months instead of nothing for 18 months, and if phase 1 does not pay back, you can stop before phase 2.

Every fixed-price engagement includes 30 days of post-launch support, full documentation, and team training so you can manage the system internally. After that, you can choose retainer support (15-20% of project cost per year) for ongoing monitoring and feature additions, or a fully managed service at custom pricing if you'd rather we run it as your outsourced AI team.

Engagements are typically structured around project milestones rather than a single lump sum, so you're paying as work is delivered, not all upfront. The exact payment schedule is confirmed during scoping and laid out clearly in the proposal before you sign anything.

Security and compliance are built in from week one, not bolted on later, which is more efficient than retrofitting compliance after the fact. For regulated industries like finance and healthcare, we factor in SOC 2, GDPR, HIPAA, or SOX requirements during scoping, and we sign NDAs and BAAs as standard practice.

Yes. UK engagements are contracted through EDGEFIRM LTD and invoiced in pounds sterling, and Australian engagements are invoiced in Australian dollars. The published GBP and AUD ranges are fixed at signing, so exchange-rate movement during the build never changes your total.

A Focused Build is already scoped as the smallest engagement that ships a production system rather than a demo. If you need to validate the idea first, the discovery call and the fixed quote with payback model are free, and a Phased Transformation lets you commit to phase one only and decide on the rest once the numbers are in.

Testimonials

What our clients say about building with us.

  • “EdgeFirm brought Sokrateque.ai to life: advanced multi-agent systems, Power BI wired to LLMs, and a seamless data pipeline that exceeded our expectations.”
    Tjaco Walvis, Founder & CEO at Sokrateque.ai
  • “EdgeFirm was key to building LAWEP.AI's legal AI platform: powerful data pipelines, accurate OCR, and custom LLM fine-tuning, delivered with speed and precision.”
    Marvi Memon, Founder & CEO at LAWEP.AI
  • “These guys were fantastic. Above and beyond, affordable, and fast. I'm 100% working with them again for updates and new projects. Highly recommended!”
    Alexander LoVerde, Founder & CEO at Inproai
  • “There's not enough words to describe Zain's team. They take pride in their work and always over-deliver. A trustworthy, product-minded agency.”
    Peacemaker Bakinahe, Co-founder at Gfacility
  • “Loved working with Faisal, Usman, and the team. An interesting API integration project, and they figured everything out. I'll definitely work with them again.”
    Drew Isler, Founder & Art Director at deepcutcollections.com
Talk to the founders

Get AI live in months, not years.

Book a 30-minute strategy call with the founders who will write your code.