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Pricing guide

What custom software & AI development costs

Real ranges, not "it depends."

Engagement guide

Understand the scope. Know the cost.

You're allowed to ask what things cost before a sales call. Most agencies won't answer on their website. We think that's backwards, because the price question is usually the first honest question a buyer has. So here are our ranges. They're ranges, not promises, and we review them every quarter. If your project lands outside them, we'll tell you why.

Last reviewed . Prices in USD.

01Engagement guide

How we price

We don't sell hours. Every engagement is fixed-scope: we agree on what gets built, what it plugs into, and what "done" looks like, then we price the outcome. You own 100% of the code and get a handover pack at the end. No license lock-in, no meter running in the background.

This means our prices reflect the size of the problem, not the size of our team. A small, well-defined integration costs less than a vague, sprawling platform rebuild. That's true no matter who builds it. We'd rather you know that upfront.

02Engagement guide

Cost ranges by engagement type

All ranges were set from our pricing analysis and approved Oct 2026. Each one names what sits at the low end and what pushes a project to the high end.

01

Fixed-scope AI solutions.

$4,000 – $60,000, depending on the package. These are our packaged offerings with a defined scope, timeline, and price: AI discovery, workflow automation, AI agents, AI pods, governance, AI for finance. Low end: a tightly scoped single-team deployment. High end: multiple teams, several integrations, compliance requirements.

02

AI discovery and roadmapping.

$4,000 – $7,000. A 2–4-week engagement that ends with a scored list of use cases, estimates, owners, and a first sprint plan. Low end: one business unit, clear data access. High end: several departments, messy data, board-level reporting. Sometimes the honest output of a discovery is "don't build this yet." That still costs the discovery fee, and it's still cheaper than building the wrong thing.

03

RAG chatbot: pilot vs production.

Pilot: $5,000 – $10,000. Production: $12,000 – $30,000. The pilot runs on one document set and proves the concept on your real content. Production adds integrations, guardrails, monitoring, and handover. The jump between the two is mostly integration and hardening work, not the chatbot itself.

04

AI agent builds.

$10,000 – $25,000 for a single-workflow agent; $25,000 – $60,000 for agents working across several systems. Low end: a single agent acting on one or two systems with human approval steps. High end: multiple agents across CRM, ERP, and ticketing, with evaluation suites, allowlists, and cost controls.

05

AI integrations (adding AI to software you already run).

$6,000 – $15,000 targeted; $15,000 – $40,000 multi-system. Low end: one LLM-powered feature inside an existing app. High end: AI woven through several systems with private deployment and audit trails.

06

API and system integrations.

$3,000 – $8,000 for a single pair of systems; $8,000 – $25,000 for multi-system programs. Low end: connecting two systems with clean, documented APIs. High end: legacy systems with no API at all, where we build the bridge from scratch. The condition of the systems matters more than the number of them.

07

Product and MVP builds.

$15,000 – $45,000 for an MVP; $35,000 – $90,000 for a full SaaS product build. Low end: a focused MVP with a clear spec and one platform. High end: a multi-tenant product with billing, roles, integrations, and compliance from day one. The spec is the price lever here more than anywhere else.

08

Process automation.

$3,000 – $7,000 for a process audit plus the first automation; $7,000 – $20,000 for an automation program. Low end: one well-understood workflow between two systems. High end: end-to-end order-to-cash across five systems with approvals and exception handling. The audit is fixed-price and gives you a fixed build price before we start.

09

Pilot-to-production rescue.

$2,500 – $5,000 for the assessment, credited toward the build if you proceed. $12,000 – $45,000 for hardening to production. Low end: a clean pilot that needs evals, monitoring, and one integration. High end: a demo held together with hope, needing re-architecture plus several integrations. The assessment tells you which one you have, for a known price.

10

Legacy modernization.

$4,000 – $8,000 for a code and architecture audit; modernization projects start at $25,000 and are scoped after the audit. We don't quote modernization blind. The audit maps what you have, what it costs to keep, and the cheapest safe path forward, then we price the project against that map.

03Engagement guide

What moves the price

Five things, in rough order of impact:

01

Scope clarity.

A project with a written spec and a defined "done" costs less than the same project described in a paragraph. Vagueness gets priced in as risk, by us and by everyone else.

02

Number of integrations.

Each system we connect adds mapping, testing, and failure handling. Two clean APIs are cheap. Five systems, one of them a legacy database nobody fully understands, is not.

03

Compliance requirements.

SOC 2, HIPAA, GDPR, financial audit trails. Each one adds real work: access controls, logging, documentation, review cycles. Worth it, never free.

04

Timeline pressure.

A sane schedule costs what it costs. Compressing it means more people in parallel, which means more coordination overhead. Rush pricing isn't a penalty, it's arithmetic.

05

Data readiness.

For AI work specifically: clean, accessible data keeps the price down. Six months of archaeology through scattered spreadsheets and undocumented databases pushes it up. Our 2–4-week validation exists partly to find this out early.

04Engagement guide

Fixed-price vs time-and-materials, honestly

We default to fixed-price because it puts the scoping risk on us, where it belongs. You know the number before we start.

Time-and-materials makes sense in exactly one situation: when the scope genuinely can't be defined upfront. Exploratory R&D, a codebase nobody has mapped yet, a problem where the first month is finding out what's possible. In those cases a fixed price would just be a padded guess, and we'd rather bill honestly for the time.

If an agency pushes you hard toward one model without explaining why, ask what they're protecting themselves from. The answer tells you a lot.

05Engagement guide

Why most agencies hide their prices

Because ranges invite comparison, and comparison invites uncomfortable questions. It's easier to get you on a call first and anchor the number to your budget instead of to the work. Some of it is also genuine: software pricing really does swing widely, and nobody wants their lowest number screenshotted out of context. We publish ranges anyway, with the low and high ends explained, because we'd rather lose the buyer who only shops on price than waste the time of everyone else.

06Engagement guide

A note on these numbers

These ranges start from 2026 market data and competitor benchmarks, tuned for our cost base. We review every range quarterly against the projects we've actually shipped and update it when our own data says otherwise. If a range looks stale, it probably is. Ask us.

07FAQ

Frequently asked questions

How much does custom software development cost?

$15,000 – $45,000 for a focused MVP; $35,000 – $90,000 for a full SaaS product build; enterprise platforms start higher and are scoped after discovery. It depends on scope clarity, integrations, compliance, timeline, and data readiness, in roughly that order. A focused build with a clear spec sits at the low end; a multi-system platform with compliance requirements sits at the high end. The ranges above break it down by engagement type.

How much does an AI agent cost?

$10,000 – $25,000 for a single-workflow agent; $25,000 – $60,000 for agents working across several systems. A single agent acting on one or two systems with human approval steps is the low end. Multiple agents across your CRM, ERP, and ticketing, with evaluation suites and cost controls, is the high end. Most of the cost is integration and hardening, not the model.

How much does a RAG chatbot cost?

$5,000 – $10,000 for a pilot on one document set; $12,000 – $30,000 for production. The pilot proves the concept on one document set. Production adds integrations, guardrails, monitoring, and handover, which is where most of the budget goes.

How much does API integration cost?

$3,000 – $8,000 for a single pair of systems; $8,000 – $25,000 for multi-system programs. Two systems with clean, documented APIs is the low end. A legacy system with no API, where the bridge has to be built from scratch, is the high end. The condition of your systems matters more than the count.

How much does a web application cost?

$15,000 – $45,000 for a focused build; more for multi-tenant products with billing, roles, and integrations. A focused internal tool or customer portal with a clear spec sits low. A multi-tenant product with billing, roles, and integrations sits high. Tell us the spec and we'll give you a fixed number, not a range.

How much does business process automation cost?

$3,000 – $7,000 for a process audit plus the first automation; $7,000 – $20,000 for a full program. The audit maps your workflows and gives you a fixed build price before we start, so the number stops being a range early.

How much does it cost to take an AI pilot to production?

$2,500 – $5,000 for the assessment, credited toward the build. $12,000 – $45,000 for hardening, depending on how much of the pilot survives the assessment. The assessment is the fixed-price way to find out which end you're at.

What's included in a fixed-scope engagement?

The agreed deliverables, the integrations, testing, documentation, deployment, and a handover pack with full source code. Two-week sprints with demos along the way, a staging environment, and a release runbook. What's not included: anything outside the agreed scope, which we price separately instead of absorbing silently and resenting you for.

Do you require long-term contracts?

No. Engagements are scoped per project. Some clients stay for years across multiple projects because the work holds up. None of them are contractually required to.

Why do your prices differ from freelancers and marketplaces?

A freelancer quotes their time. We quote an outcome: scoped deliverables, tested integrations, documentation, handover, and someone to call when it breaks. For a small, well-defined task, a freelancer is often the right call and we'll say so. For systems that have to keep working after launch, the difference is the part you're actually buying.

Can we start small?

Yes, and we'd prefer it. A 2–4-week validation or a fixed-scope pilot is how most of our engagements begin. You see working software on your own data before committing to the full build. Starting small isn't a compromise position here, it's the process.

Will you honor the range on this page?

The ranges start from 2026 market benchmarks tuned for our cost base, and we review them quarterly against projects we've actually shipped. If your project fits the description at the low or high end, the quote will land near it. If it doesn't fit, we'll tell you before you sign anything, not after.

AI readiness

Not sure where you stand?

Ten questions, about three minutes. Find out what needs attention before you build.

Plan the work

Get a scoped estimate for your project.

Tell us what you're building, what it needs to connect to, and when you need it. A solutions architect replies within one business day with honest feedback and a fixed number.