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Custom AI App or SaaS: Which Should You Buy?

Short answer

Off-the-shelf SaaS costs less at the start and lets you run a pilot within days. A custom AI app wins over a longer period, when the process is stable, many people use it and the product's price grows with every licence and feature. In a 36-month scenario the app costs €42,720 and SaaS €49,056, and the costs level after 25 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Software and AI in companies: statistics 2026

25 mo.

is when the cost of your own app levels with SaaS. Over 36 months the app costs €42,720 and SaaS €49,056. Scenario.

Figures checked: 22 October 2026

How to choose between SaaS and a custom app

AxisOff-the-shelf SaaSCustom AI app
StartDays or weeks of configurationUsually 4–10 weeks of building
Initial costSubscription and rolloutFrom €3,000 net at Syntalith
FitThe process adapts to the productThe product is built around the process
IntegrationsConnections the vendor providesAPIs and data chosen for the system
OwnershipA licence to useCode and documentation with the client
Running costSubscription, usage, add-onsHosting, models, monitoring, maintenance

The cost of an app and SaaS over 36 months

Scenario: the same scope of features, permissions and human control
SaaS
€2,400 start + 36 × €1,296 = €49,056
App
€16,800 build + 36 × €720 = €42,720
Difference
€6,336, or 12.9%

The costs level after (€16,800 − €2,400) / (€1,296 − €720)

25 months

The amounts are the scenario's assumptions. The app's monthly cost covers hosting, models, support and maintenance. A change of scope or of how often fixes are needed means counting again.

The process owner approves the test results on the same cases before the costs are compared. Anthropic's method for evaluating agents helps set the acceptance criteria.

When off-the-shelf SaaS is enough

SaaS is the right purchase when
  • The problem is standard: transcription, document signing, a basic FAQ
  • The product covers the roles and the flow with no repair spreadsheet next to it
  • The team accepts the data model and the interface
  • The ready integrations are enough
  • The data export and the exit terms are acceptable

SaaS gives a fast pilot: within a few days you see whether the team uses it and what the right plan costs. With a small team and a standard process, that is usually the best first step. If it meets these conditions, building a copy of the product would waste the budget.

When your own app becomes sensible

Signs that it is time to count your own system
  • Several systems

    one view

    The user joins data from several places, and the export loses context.

  • Your own rules

    roles and approvals

    The answer depends on the user's access and on how current the source is.

  • Volume

    a growing plan

    The vendor's price grows faster than the cost of your own solution.

An example is company memory with permissions: the answer depends on the specific user's access, and its origin has to be checkable. Plain search across all documents does not meet such requirements. When counting SaaS, add the time on workarounds: 20 people at €72 a month for 36 months come to €51,840, and 15 hours of workarounds a month at €34.90 add €18,846, together €70,686.

Ownership and an exit plan

At Syntalith the code and the documentation stay with the client, but you still pay for the model, hosting, the database and other APIs. A custom AI app costs from €3,000 net and takes 4 to 10 weeks to build, and maintenance is priced individually. Before buying SaaS, check the export, the change history, the API and account deletion. Before a build, check the run documentation, access to the repository, backups and the ability to change the model. When a vendor raises its price, the article a SaaS price increase helps, and the cost of a first version is described in the guide to the MVP price.

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

When an off-the-shelf tool does not fit, we build your own.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • SaaS or a custom AI app?

    SaaS, when the problem is standard, the product covers the roles and the flow, and the data export is acceptable. Your own app, when data from several systems has to be joined, there are your own roles and approvals, and the vendor's plan grows faster than the cost of your own system.

  • How much does a custom AI app cost?

    At Syntalith an AI app costs from €3,000 net, typically €3,000 to €7,000, and takes 4 to 10 weeks to build. Maintenance is priced individually. The code and the documentation stay with the client.

  • How do I compare the cost of SaaS and an app?

    Over the same period, best 24 or 36 months. SaaS: licences, usage, rollout, add-ons, time on workarounds and the migration at the end. The app: the build, hosting, models, monitoring, maintenance and process changes.

  • Does owning the code mean no costs?

    No. You still pay for the language model, hosting, the database, email, search and other APIs. Ownership reduces dependence on one supplier.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.