AI Products & SaaS Solutions

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AI Products & SaaS Solutions

In order for any AI product to succeed it needs to have the right problem, the right architecture, and the right go-to-market execution of these things. ALETERIS helps its clients build and launch AI products by providing them all three. We know how important it is to solve the right problem — if the problem is wrong then every model you train will be moving in the wrong direction too. This moves products away from real usage instead of towards it. We study our clients’ data and users deeply before suggesting any product, because we have to ensure that we have all the variables in check.

Once we have a validated problem, we work with our clients on building the product architecture. Many people think a model and a product are the same but ALETERIS knows better. We know that the model is what makes a prediction and the product is how that prediction actually reaches the user.

ALETERIS – we help companies assess their data and choose a new product direction which utilizes the talents of the team and resources most productively.

recurring revenue & scale

You can transform your AI capability into a revenue-producing product that scales as much or as little as your market needs.

product planning & strategy

Our clients are often surprised by the possibilities we present to them; by thinking beyond a one-off project we present exciting new product ventures:

  • Turn a one-off model into a recurring revenue product
  • Attract and retain high-value, recurring enterprise clients
  • Manage your roadmap so your team gets more done in less time
  • Hone sharp product skills to manage your AI roadmap
  • Cut infrastructure costs without sacrificing model quality
  • Scale your product, so it keeps running reliably as usage grows
research beyond the AI product

We also ensure that the whole team is included in the process and that no one is left out during product discovery. The most crucial part is ensuring the problem is worth solving before any model gets built.

This is the most technical part for most clients building an AI product; it means the model, the API layer and the user experience all need to work together. We help ease these issues through solid architecture and a realistic view of what can be achieved.

Creating a list of potential qualified customers for your AI product can be daunting when you’re launching for the first time. However, this needs to be considered as a follow-up on your product validation, so you can hit the ground running.

AI product market

Once the right product has been shaped for a company we work with them on a go-to-market strategy that allows the product to scale. We look at the market and usage factors of our clients and make recommendations about steps which can be taken to move in the right direction:

  • Product analytics platforms – Usage & retention research
  • Model monitoring tools – Performance & drift research
  • Pricing benchmark reports – SaaS pricing research
  • API marketplaces – Distribution & integration research
  • Customer feedback platforms – Product-market fit research
  • Competitor product research – Feature & positioning research
  • Industry SaaS reports – growth benchmark “slices”
retention & growth analysis
how can we help you?

Contact us at the Consulting WP office nearest to you or submit a business inquiry online.

ALETERIS cut our false positives by 42% without slowing down real fraud detection. Our analysts finally spend their time on cases that actually matter.

Northgate Bank
VP of Risk & Fraud Prevention, Northgate Bank

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