AI application development for chatbots, copilots and fraud detection
We build AI applications for one job at a time, such as answering support tickets, scoring fraud or recommending products, on your own data and inside the tools your team already uses.
building software since 2012
projects shipped since 2012
AI systems running in production
clients in 45+ countries
on Clutch, from 33 verified reviews
9001:2015 certified delivery process
What AI application development means
- What is AI application development?
- AI application development is building software where an AI model does a specific business task, such as answering customer questions, flagging fraud or recommending products. The work covers the model and its data, plus the interface, integrations, access control and monitoring that make it usable every day.
The engineering behind these applications is covered under RAG development.
AI applications we build
Each page covers the use cases, the approach and what it costs.
AI chatbots and assistants
Support and internal assistants answer from your content and hand off to a person when unsure.
See AI chatbots and assistantsEnterprise copilots
Assistants work inside the tools your staff already use, over company documents and systems.
See enterprise copilotsAI fraud detection
Our models score transactions and accounts for fraud risk and send the uncertain cases to review.
See AI fraud detectionAI recommendation engines
We recommend products and content from behaviour and catalog data, and measure the results against sales.
See AI recommendation enginesAI code optimization
AI-assisted review, refactoring and test generation help with codebases that have grown hard to change.
See AI code optimizationAI in fintech
We build fraud tools, compliance assistants and support automation for financial services.
See AI in fintech
Not sure which AI application to start with?
Bring the process that costs your team the most time. We will tell you whether AI fits it and what a first version costs.
Rated 4.8/5 by the clients we build for
Verified reviews from Clutch and GoodFirms, and clients on camera.
33 verified reviews on Clutch
Clutch review★★★★★“What truly distinguishes ScalaCode from others is their ability to understand industrial domain logic.”
Clutch review★★★★★“The most impressive aspect of working with ScalaCode is their genuine dedication.”
Clutch review★★★★★“What sets ScalaCode apart is their technical AI expertise and an understanding of a client's organizational ethos.”
GoodFirms review★★★★★“They built a high-performance, AI-powered platform that transformed video engagement for learning.”
Clutch review★★★★★“What stood out to us as most impressive and unique about ScalaCode was their ability to humanize complex AI.”
Clutch review★★★★★“They managed to balance technical skill with an understanding of the marketing world.”
Clutch review★★★★★“Their team often proposed innovative features we hadn't considered.”
AI application development FAQs
Anything not covered here, ask on the call.
Which AI application should we build first?
The one with a high volume of repetitive work and a clear measure of success, such as support tickets answered or fraud cases caught. We help you pick on the strategy call and confirm it in the discovery sprint.
Can an AI application use our own data securely?
Yes. Data stays in your cloud or ours under your contract, access controls carry through to the AI, and sensitive fields can be redacted before any model sees them.
How much does an AI application cost?
A chatbot pilot starts from $5,999, and an AI proof of concept on your data from $4,999. Production builds are quoted after a free discovery sprint.
Can you add AI to an application we already have?
Yes. We add AI features through your existing APIs and data, without rebuilding the application, and we can take over the codebase after a technical audit if needed.
How do you measure whether an AI application works?
We agree the business measure up front, such as resolution rate or fraud caught, and build an evaluation set before launch. After launch we report the measure and the model's quality together.
Who maintains the AI application after launch?
We can keep running and improving it, or hand it over to your team with runbooks, evaluation sets and documentation. You own the code and data either way.
One team, matched to your working hours
We schedule 4 to 6 hours of daily overlap with US time and a full working day with the UK and Europe, so reviews, demos and fixes happen during your working hours.
What sets ScalaCode apart is their technical AI expertise and an understanding of a client's organizational ethos.
Find out what your first AI application should be
- A free 30-minute call
- What is realistic, what it costs and how long it takes
- No obligation to build with us afterwards
“Their approach, dedication and project execution played a critical role in TipStars' success.”
James Ellis, Founder, TipStars