machine learning
ML Delivers An Exceptional ROI.
Revolutionize Your Organization with Expert Machine Learning Consulting Services
Machine Learning Company
Machine Learning Services
Our machine learning consulting services help you extract maximal value from your data.
At DataLeap, we leverage the power of Machine Learning to transform your data into actionable insights. Our expert team specializes in creating custom ML models tailored to meet the unique needs of your business. Whether you're looking to enhance predictive analytics, automate processes, or improve decision-making, we have the expertise to deliver robust and scalable solutions. Our services encompass the entire ML lifecycle—from data preprocessing and model development to deployment and continuous optimization. We also offer a Proof of Concept (POC) phase to validate the effectiveness of our solutions in your specific context. Let’s work together to create smarter, data-driven strategies that help you achieve your goals.
Benefits
Benefits of Our Machine Learning Consulting
Learn how machine learning provides such incredible value.
Machine learning empowers your organization by automating decision-making through algorithms that continuously learn from your data.
While data science provides a broad perspective on enhancing your business, machine learning zeroes in on applying specific techniques to solve automation challenges with artificial intelligence.
If you’re exploring this page, you likely recognize the overall advantages of data science. However, our machine learning services offer a distinct approach. Many projects in this field are complex and non-linear. Thanks to advances in distributed and cloud-native technology, practical and impactful data science has become more achievable, though it often involves a sophisticated technical stack. Depending on your machine learning maturity, you might need additional underlying technologies. Our DevOps consulting expertise ensures that we can integrate these dependencies as needed, providing a seamless and effective solution.
How It Works
Machine Learning Consulting Process
Successful consulting arises from decades of experience. Take a look at our tips for a successful machine learning consulting project.
Business Context
Any problem demands context from the business. A solution for one industry may not apply to another, nor is every business the same. Establishing a shared context helps get the project off to the right start.
Stakeholder Inclusion
More than just identification, we find projects are optimal when key stakeholders are included in the project. With “skin in the game”, stakeholders are far more likely to collaborate to produce a better overall solution.
Problem Definition
A key phase where business problems are defined and prioritized. It is worth spending time to get this right, as subsequent efforts could be ineffective and wasted.
Interviews
Data scientists and machine learning engineers are already experts in the work that they do, so interviewing them to learn what they do, how they work, and what the models they have produced do, is an important stage in the process.
Model Review
Reviewing ML models is sometimes the main task in an ML consulting project. Here we collaborate with you to evaluate your current models. We look at performance, toil, risk, and many other important factors.
Solution Review
Given knowledge of the problem and the processes and models involved, we’re now in a position to ask whether the problem is being solved. If not, we will isolate why not, and provide actionable insight into how to fix it.
Problem Solution
If necessary, we provide details as to what needs to happen to fix the issues you are having with this particular problem.
Strategic Solution
Commonly, we find larger, strategic-level issues that should be addressed for optimal ML usage. In this phase, we present these solutions back to key stakeholders. In many projects, we then move into an implementation phase. Other times we step back and perform another iteration to fix another problem. We will likely follow up with data science consulting to help investigate problems further or move into a machine learning development phase for implementation.
SERVICES
Machine Learning Consulting Expertise
We're open, unbiased, and flexible enough to work with your stack.
Text - NLP
Highly experienced in Natural Language Processing (NLP), e.g. we built Google’s BERT implementations in Vertex AI.
Image - Computer Vision
Used in a variety of industrial settings; from video feeds to image generation.
Structured
Modelling your data to provide exceptionally robust predictive analytics and forecasting.
Study case
Machine Learning Projects
Some of our most recent work. You can find more in our portfolio.
Recommendation system for short video Platform
By analyzing user behavior and video interactions, we employ collaborative filtering techniques to suggest videos that align with user preferences. Thereby enhancing user engagement by providing personalized video recommendations
Search Volume Estimation
The model, trained on a dataset of keywords with known search frequencies from sources like Amazon and Google Trends, provides accurate monthly search volume predictions for sellers, significantly reducing costs for the client compared to paid services.
Entity Extraction from SMS
This project developed a machine learning-based entity extraction model to accurately extract transactional information, achieving a 99% accuracy rate. The model supports the underwriting process for a large user base of 30 million Monthly Active Users (MAU), enhancing feature capabilities and data quality.
