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AI Solutions · Machine Learning

Models that make your
product smarter.

Test machine learning use cases on your data, integrate useful results and monitor their impact as the product evolves. Your $1,499/month AI Product Team includes planning, implementation and human review, with one active priority.

See the $1,499 plan Let's talk
Editorial illustration of machine learning, turning data into intelligent product experiences.
AI-first. Human-backed.Explore this service

What We Build

ML that earns
its keep.

01

Built into your product

No research-lab detours. We integrate models into your existing app and backend, behind the features your users already touch.

02

Pragmatic model choice

Off-the-shelf APIs where they win, custom models where they matter. You pay for outcomes, not experiments.

03

On-device when it counts

Core ML and ML Kit deployments for on-device inference, with offline behavior and data handling matched to the feature.

04

Measured in business terms

Every model ships with metrics tied to revenue, retention or cost, so you always know what the ML is earning.

Part of your product subscription

One plan.
Your next possibilities.

Design, web and mobile development, releases and analytics setup. One agreed priority in progress at a time.

$1,499/ month

Explore everything included Founding client pilot. Code you own.

  • AI builders. Human expertise.

    Implementation, testing and experienced engineering review in one team.

  • Management included.

    We organize your backlog, agree priorities and keep you up to date.

  • Keep testing your ideas.

    Release an agreed milestone, measure what matters and choose the next move.

Tools & deliverables

The tools behind our ML work.

From notebooks to production pipelines, the same stack the industry runs on.

  • Python
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • ONNX
  • SageMaker
  • Vertex AI
  • MLflow
  • Core ML
  • ML Kit
  • Docker

How We Work

Build. Launch.
Learn. Repeat.

  1. Step 1

    Choose the next priority

    Share your product and data. We agree a focused ML use case, the available inputs and how its results will be evaluated.

  2. Step 2

    Audit data & prototype

    Check data quality and test a focused model before planning its integration into the product.

  3. Step 3

    Integrate & review

    Build the agreed model interface and product feature, with tests and human review before a preview.

  4. Step 4

    Monitor & improve

    Track model behavior and impact, then prioritize data, retraining or product improvements in the next milestone.

Our Work

Products we've
shipped.

See all work
Srama

Srama

Fitness App

Diool

Diool

Business Payments

Waridly

Waridly

Ecommerce App

One conversation can start something.

Good ideas deserve
to be built.

Plan your first build

Your next idea, one clear milestone at a time. An AI product team, human review and project management for $1,499/month.