AI OPPORTUNITY ASSESSMENT

AI is everywhere. Knowing where it can bring value to your business is the hard part. We’ll help you identify where AI can make the biggest impact and how to make it work.

Talk to a specialist →

This service is for companies that…

  • Want to explore how to apply AI
  • Need to validate ideas before investing
  • Are under pressure to act on AI, but don’t know where to start

Our process

IMG

  • Understanding your business

    We’ll dive into your product, your workflows, and where your team loses time, hits friction, or relies on work that can be automated.

  • Prioritizing high-impact AI opportunities

    We prioritize use cases that make the most business sense based on impact, effort, risk, and how quickly they can move the needle.

  • Validating feasibility

    Not every AI idea is worth building. We assess your systems, data, and complexity to understand what’s realistic, what needs more groundwork, and what’s likely to deliver value.

  • Defining a clear implementation roadmap

    At the end, you’ll get a clear plan for what to do next. You’ll know which use cases are worth pursuing and what it would take to turn them into working AI features or products.

Stop guessing where AI fits. Get a clear, prioritized roadmap built around your product and data — Talk to a specialist →

We don’t stop at AI strategy

We help companies move from identifying AI opportunities to designing, building, and launching real AI products that deliver measurable value

Tuhmbnail

Built an all-in-one business platform for a $50M-funded AI startup →

We partnered with an Australian AI startup to build a unified business platform, where we expanded their engineering capacity and delivered key AI features using Ruby on Rails, React, and major AI integrations.

Industry

AI Software

Location

Australia

Co. type

Post-IPO

Suplentia 1

Designed and built a scalable AI health platform →

We built a platform that helps health professionals assess clients through structured questionnaires, review results, and create personalized supplement plans. It connects to the client’s product catalog, supports ordering, and includes tools like scheduling, client dossiers, and AI-assisted notes.

Industry

HealthTech

Location

Netherlands

Co. type

SME

How we use AI across the software development lifecycle

We use AI throughout the software lifecycle to reduce repetitive work and put more time into quality, product thinking, and better decisions.

In this article, we break down how that works across planning, design, development, testing, and post-launch support, and where agentic development fits into the way we build.

Read full article→

50208966073 a211cf81c3 c

Great, but why DECODE?

Here’s why you should hire us for your AI software development needs:


Elite software engineers

We hire only the top 1.5% of applicants through rigorous technical and cultural evaluation. 42% hold an M.S. in Computer Science, and many have worked on complex projects for companies like Microsoft and AT&T, making them some of the strongest engineers in the industry.

Extremely transparent

You’ll have complete communication access to every team member working on your project. You’ll also know exactly who’s doing what, when, why, and at what cost.

Product-minded engineering

Our engineers think beyond code. They look at the product, the user, and the problem you’re solving, then make technical decisions that support real outcomes. This approach leads to smarter solutions and software that moves your business forward.

OUR AI TECH STACK

Platforms

OpenAI

Anthropic (Claude)

Gemini

Hugging Face

Llama

Frameworks

PyTorch

TensorFlow

LangChain

Streamlit

Databases

PostgreSQL

MySQL

Cassandra

Redshift

Vector databases

Pinecone

Qdrant

Chroma

Spark 1 1

Private AI for regulated industries

For projects with stricter privacy, security, or compliance needs, we can run AI models locally inside controlled infrastructure.

Spark is our dedicated AI workstation — equipped with an Nvidia GPU and 128 GB of RAM — built specifically for running and training models in-house.

That means your data isn’t sent to external providers or public AI APIs during experimentation, testing, or integration.

This allows us to prototype, train, and refine systems without exposing sensitive documents, internal processes, or proprietary information to third parties.

This could be the start of a great partnership

Want to get in touch? Just fill in the short form below, or skip to the bottom to arrange a chat direct with our client strategy specialist. Either way, we’ll be back in touch as soon as we can to arrange an informal call.

Don’t worry, any information you give us will only be stored for business purposes. Find out more in our Privacy Policy.


or
Ivor Cindric

Arrange a chat with Ivor, our client strategy specialist.