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SERVICE

Artificial Intelligence Development

Custom AI Systems Built for Real-World Production.

We design, build, and deploy custom AI systems, from prediction and classification models to computer vision and intelligent automation, engineered to integrate with your products and deliver measurable results in production.

  • Custom ML & deep learning models
  • Computer vision & NLP
  • Production deployment & MLOps
  • Integration with your products
  • Monitoring & continuous improvement
Artificial Intelligence Development

Metrics First

Success Criteria Agreed Before Building

OVERVIEW

Artificial Intelligence Development built around how your business works.

Our goal

Turn data into reliable AI capabilities that improve products and operations.

Successful AI is mostly engineering: the right data, the right model, and reliable integration into your products and workflows. We build AI systems that work beyond the prototype.

Many AI initiatives stall after a promising proof of concept because data, infrastructure, and integration weren't planned.

We start by defining the business problem, success metrics, and the data available to solve it.

Our engineers select the right approach, from classical machine learning to deep learning and foundation models.

Models are deployed with APIs, monitoring, and retraining pipelines so they stay accurate over time.

AI capabilities are integrated directly into your applications and workflows where they create value.

What every engagement includes

  • Custom ML & deep learning models
  • Computer vision & NLP
  • Production deployment & MLOps
  • Integration with your products
  • Monitoring & continuous improvement
WHAT WE DELIVER

Our Artificial Intelligence Development Services

End-to-end AI development from problem definition to production.

HOW WE WORK

Our Artificial Intelligence Development process.

Transparent, sprint-based and built around decisions you can see. You know what ships, when, and why at every step.

Start Your Project
  1. 01

    Problem & Data Assessment

    Defining the use case, success metrics, and data readiness.

  2. 02

    Data Preparation

    Collecting, cleaning, labelling, and structuring training data.

  3. 03

    Model Development

    Experimenting with approaches and evaluating against agreed metrics.

  4. 04

    Integration & Deployment

    Serving models through APIs and integrating them into your systems.

  5. 05

    Validation & Rollout

    Testing in real conditions and rolling out gradually.

  6. 06

    Monitoring & Retraining

    Tracking accuracy and drift and retraining as data changes.

RESULTS

What Every Engagement Covers

AI development that goes all the way to production.

Metrics First

Success Criteria Agreed Before Building

Production

Deployed, Integrated and Monitored

MLOps

Automated Training and Deployment Pipelines

Yours

Full Ownership of Models and Code

WHY CREUTO

Why Choose Creuto for Artificial Intelligence Development?

The reasons clients give when they recommend us, not the ones we would pick ourselves.

Custom AI Systems Built for Real-World Production.

Our promise on every Artificial Intelligence Development engagement.

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Products delivered

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Years of engineering

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Client satisfaction

Start a conversation
  1. /01

    Engineering-Led AI

    Software and ML engineers work together so models ship in real products.

  2. /02

    Honest Feasibility Advice

    We tell you early if the data or approach won't support the outcome you need.

  3. /03

    Right Tool for the Job

    We choose between classical ML, deep learning, and foundation models on merit.

  4. /04

    Production-Ready From the Start

    Deployment, monitoring, and retraining are planned from day one.

  5. /05

    Responsible AI Practices

    Attention to data privacy, bias, and explainability.

  6. /06

    Long-Term Model Care

    Ongoing monitoring and improvement after launch.

INDUSTRIES

Industries we deliver Artificial Intelligence Development for.

Sector pages with the solutions, compliance, integrations and FAQs specific to each market.

TECHNOLOGY STACK

Technology stack for Artificial Intelligence Development at Creuto.

Chosen per project for longevity, hiring depth and fit with your existing systems, never by fashion.

/01Web and backend

  • React
  • Next.js
  • TypeScript
  • Node.js
  • NestJS
  • Python
  • Django
  • .NET
  • Java

/02Mobile

  • Swift
  • SwiftUI
  • Kotlin
  • Jetpack Compose
  • Flutter
  • React Native

/03AI and analytics

  • Claude
  • OpenAI
  • LangChain
  • PyTorch
  • TensorFlow
  • pgvector
  • Pinecone

/04Data

  • PostgreSQL
  • MongoDB
  • Redis
  • Elasticsearch
  • BigQuery
  • Snowflake

/05APIs and integrations

  • REST
  • GraphQL
  • gRPC
  • Webhooks
  • Kafka
  • RabbitMQ
  • Stripe

/06Cloud and DevOps

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions

/07Security and identity

  • OAuth 2.0
  • OpenID Connect
  • SAML
  • Auth0
  • Keycloak
  • AWS KMS
  • Vault

/08Quality and observability

  • Jest
  • Playwright
  • Cypress
  • pytest
  • Sentry
  • Grafana
  • Datadog
TESTIMONIALS

Don't take our word for it.

Founders and product leaders on what it is like to build with Creuto.

“The deliverable was better than we anticipated.”

Thanks to Creuto's work, the client could track their expenses and employees' daily work efficiency. The team delivered a system that could solve and monitor complaints, improving guest satisfaction. They communicated well through in-person meetings. Overall, the product exceeded expectations.

VS

Vishal Sharma

Partner, Lazystay Hospitality

Read on Clutch

More client voices

/01 of 06

on Clutch
FAQ

Frequently Asked Questions

Straight answers about Artificial Intelligence Development projects. If yours is not here, ask us directly.

Ask our team

It depends on the problem. Some use cases work with modest datasets or pre-trained models, while others need large labelled datasets. We assess this early.

Yes. Models, code, and training pipelines built for you are yours.

Yes. We deploy models behind APIs and integrate them with your existing applications and workflows.

We monitor performance and data drift in production and retrain models when accuracy declines.

LET'S BUILD

Build AI That Works Beyond the Demo.

Custom models, production deployment, and measurable business results.

  • Reply within one business day
  • NDA on request
  • Senior engineers only
  • Fixed scope, no surprises