Our Services

Levitate operates on two core fundamental principles:

Always deliver quality output on time

Good solutioning comes after a well understood problem so the first step in our process is to make sure we understand your broader vision, break down the problem in consumable chunks and then move on to how we can execute it the right way; taking extra care of partners who are new to AI and Machine Learning.

Always be fair and transparent with our partners

You are paying us to build toward a grander vision and we are very intentional about designing systems well upfront to lay the foundation to support that vision, while remaining mindful of the balance required for speed and cost.

The free consultation is designed to build the right foundation to our relationship, to help us and you understand what is the next best move. To find out the different ways we work with partners, read below.

Software Development

Product Management Backend Engineering Frontend Engineering Quality Assurance DevSecOps Fullstack Engineering

Custom AI Software

Machine Learning Engineering Data Science ML Ops Data Engineering DevSecOps Fullstack Engineering Product Management Backend Engineering Frontend Engineering Quality Assurance Engineering

How We Work

The Embedded Team Model

Over the years we have worked on some really interesting ideas and what we’ve learnt is that these ideas or problems are living breathing things. Throughout the course of our engagement, we keep learning and evolving our approach, which means that resourcing needs to be adaptive.

That is why we like to recommend the Embedded Team model to our partners as it allows us to work in a flexible and agile way.

How it works:

  • We talk to you and conduct a deep analysis of your idea or problem statement.
  • Instead of scoping out every detail, we like to operate on a clearly defined starting point with a clear overall vision.
  • We then lay out outcomes and what we need from our partner to deliver these outcomes.
  • We adapt resources over time to your evolving roadmap and growing – or diminishing – needs.

Why we like it:

  • Speed
  • Flexibility
  • Cost effectiveness

The Ad Hoc Model

We understand that some of our partners may feel more comfortable with a more traditional approach and we are more than happy to work with them this way.

We still try to make this process efficient, and here’s how:

  • We conduct a session to create a general understanding of the problem or idea.
  • In the next session, we loop in relevant team members to conduct extensive and detailed needs assessments to develop an in-depth understanding of the idea or problem.
  • We create a detailed logical breakdown of the idea or the problem statement and present it to our partner to align on our understanding of the idea/problem.
  • We then create a roadmap of the entire design and development process. This requires constant ad hoc communication between the partner and the Levitate team.
  • We go over our requirements that need to be provided by the partner to execute the roadmap.
  • We go over resource details with the partner to come to mutually agreeable terms.

Why we’re not opposed to it:

  • Familiarity
  • Partner’s preference

AI Advisory

There are a lot of founders out there that have disruptive ideas to address pressing real-world problems but lack the technical chops to execute them well. They end up spending too much time and money in trying to make it work, and while a handful of them succeed, many succumb to the unforgiving world of entrepreneurship.

We believe that with the right technical leadership behind these ideas, so many of these casualties can not only be avoided but lead to thriving businesses that change the world. Traditional consulting is a non-committal approach that we have no interest in doing. We are only interested in delivering outcomes by being in the trenches with you.

Here’s how we do it:

  • We work as an extension of your team: we apply our decades of expertise in AI to help you make better technical and strategic decisions.
  • We don’t gatekeep: we have spent decades building our expertise, especially in AI, and we want to share the tricks of the trade with you to enable you to collaborate with us more meaningfully.
  • We mould your tech leadership according to what works best for you: we’ve seen it all in AI and the most important lesson we’ve learnt is restraint and making good decisions about when, where and how AI should be used to solve a problem. We want to instill these decision making skills in your leadership.
  • Provide ongoing advisory on model selection, implementation, and governance.

Here’s how we think this works best:

    At the end of the day, we want to be hands on and take responsibility for the intended outcomes of our engagement. The best way to do that is to have a Levitate embedded team in your business working under our tech leadership. This, we believe, is the most time and cost efficient way to build fast and build well.

    If this sounds like we’re trying to sell our embedded teams services to you, you’re right - we are. But only because we genuinely believe that this initial investment will save you a lot of time, money and headaches in the long run and position you to take advantage of your opportunities before it’s too late.

    Consider this as our first piece of advice to you!

Accelerants

Product Integration

We love a good out-of-the-box idea that challenges us but we also want to stay true to our core fundamental principles. Part of our job then is to make sure we’re building for a purpose and not recreating parts that don’t need to be developed from scratch.

Some parts of the build may be easily replaced by an existing product. What we do is find products that make sense to piece together with other parts of the build to create the perfect solution and to accelerate product timelines. These products may be open source or managed or even from within our product portfolio.

Just like any other managed service, our products can be easily integrated and used for a license fee or a pay-as-you-go fee. The advantages of using our own products - where they make sense - are:

  • Less maintenance burden on the partner in the long run.
  • We keep updating the technology
  • We keep developing products, some of which might be integrable into your current solution to make it better

Thalamus

Enterprise grade RAG

Turn your proprietary data into precise, trustworthy answers.

  • Multitenant.
  • Flexible model and vendor choices.
  • Advanced retrieval controls.
  • Robust Data Management.
  • Secure and compliant.
  • Scalable and cost-efficient.