Digitalize.
Automate.
Then AI.

AI runs on data. If your orders live on paper and your scheduling happens in WhatsApp threads, there is nothing for a model to learn from and nothing for an agent to act on. The foundations come first.

What we do

Three steps, in this order.

Most businesses need step one before AI can help. We start wherever you are and take it from there.

01 / Digitalize

Systems your business runs on.

Custom operations platforms, internal tools and integrations that move work off paper, spreadsheets and chat threads, and give you clean data to build on.

Custom business systems · Internal tools and dashboards · Integrations and data pipelines

Explore Digitalize
Request comes incall · chat · emailUnderstand itintent and detailsRun the workflowyour existing systemsDonehanded to a person if needed

02 / Automate

AI agents that do the work.

Agents and automations that answer calls, process documents and move work between your systems. Each one starts from a measured baseline, so you can see what it saves.

AI agents · Voice agents for non-English calls · Document processing

Explore Automate
VOICE · TEXTYOUR ENVIRONMENTEVALUATION · RERUN ANY TIMEBaselineAdapted

03 / Enterprise AI

Models you own.

Private deployment and model training for languages, data and decisions that general AI handles badly. Every model is evaluated against a baseline before it ships.

Private and on-premise deployment · Model training and fine-tuning · Evaluation and benchmarking

Explore Enterprise AI

Clients

Trusted with the part that had to work.

Legal Innovators
Brevidee
Heft IQ
Royal Service
Learning Surgical
Plan Assist
Rufus Labs
Alignwithme
Oplii
Clear Chronic Care
Mentorado
Gathrly

Selected engineering work

Software our clients run on.

All projects

Education / video platform

Brevidee

Helping schools turn everyday moments into stories worth sharing.

A mobile app, two web clients and a shared backend. One connected video workflow.

Explore the project
Brevidee video library on a tablet

( Next )

Your project · Next

Your product could be next.

Book a call

Let's discuss what we can build together.

30 min

A focused conversation about your idea.

Working with SprintX

Where are you right now?

Pick the line that sounds like you.

We’d suggest

A defined project

A new system, an AI agent, or a model trained for one job.

  • Agreed scope and budget before we start
  • A demo of working software every week
  • You own the code and the docs

AI pilots from $5,000

Scope a project

From clients

In their words.

“He brought genuine intelligence to the hard problems and cared about getting things right rather than just getting things done.”
BrevideeAlan RudtFounder, Brevidee

No-code platform MVP

“I’m impressed by how well-organized SprintX’s project management has been.”
Vegard SynnesFounder, Mycelium · Oslo

Wireframes to platform

“Raising and flagging issues before they become a problem while often suggesting very clever solutions that ended up saving us both time and money.”
Sam PoplovitchDirector of Technology, Legal Innovators

MCP server for AI tools

“Working with SprintX on our MCP Server project was a fantastic experience. Their team demonstrated exceptional technical expertise.”
Sebastian Kummetz BrunettoCEO, Pioneers Partners GmbH

AI chatbot

“The team quickly understood our requirements and built an AI chatbot that was reliable, intuitive, and aligned with our business goals.”
Dowon ChoiBusiness Partner, TXPsyBot

Rated 5.0 on Clutch. Read every review

What we build with

The right model for each job.

Commercial and open-weight models, tested on your task. We keep the one that clears the bar at the lowest cost, and swap it when a better one ships.

Our products

Built in our own R&D.

Two products we build and run ourselves, and put to work for clients.

Live call · 00:42Englishاردوالعربية
  • میرا آرڈر ابھی تک نہیں پہنچا۔My order still hasn’t arrived.
  • معذرت! آپ کا آرڈر نمبر کیا ہے؟Sorry! What’s your order number?
  • دو صفر چار ایک2041
  • ✓ Complaint logged · ticket #2041

Voice AI

Every call. Understood. Handled.

Voice agents for calls that aren’t in English: they keep up when callers switch languages, read numbers back, and log every call.

Vision AI detecting people and vehicles across a factory, a construction site, a warehouse and a road.

Vision AI

Make every camera more intelligent.

Turn the cameras you already have into counts, readings and alerts: people, vehicles and objects detected, counted and read.

People and vehicles · Counting · Plates and text · Alerts

Research

We test models before we trust them.

Our R&D team trains and evaluates models for work general AI handles badly: low-resource languages, private data, and decisions that have to come out the same way every time.

Speech and language

Speech recognition and voice for languages general AI handles badly, starting with the calling agent live on this site.

Evaluation

Blind-scored test sets, repeat runs and per-axis scorecards, so a model change is a measured decision.

Private deployment

Open-weight models served on your hardware or private cloud, sized to your call and document volume.

Have a domain-specific problem or a dataset worth exploring?

Send an enquiry

What we believe

Opinions we act on, even when they cost us the job.

01

If we can’t measure it, we don’t ship it.

Every agent and model starts with a baseline: how long the task takes today, how often it goes wrong, what it costs. It ships when those numbers move.

02

We won’t build the wrong thing because you asked for it.

We’ll tell you, then help you decide. Sometimes that means the product you get is different from the one you first described.

03

Small teams ship great work. Big teams ship small work.

Two or three senior people who own the outcome beat a room of handoffs.

04

Traditional SDLC takes years to build what should take weeks.

Specs, sign-offs and phase gates were built for a slower era. AI changed how fast a small team can move; most processes haven’t caught up.

05

The person who builds it tests it.

Splitting dev, QA and PM into separate lanes has become counterproductive. Developers end up throwing testing over the wall.

Read: Load Testing Before You Get the Traffic You Wanted

Before we start

A few practical questions.

  • Yes. We start by reviewing the code, integrations and current constraints, then agree on what to extend, connect or replace. Most of what we build connects to software the business already runs.