387labs Powers The
World’s AI Future
We Are Building Economies Through AI
Our Mission is to make AI and Machine Learning accessible to the masses.
With this mission in mind we aim to democratize AI and accelerate its adoption worldwide.
We know we can do it.
Models of engagement
We characterize working with clients as co-creation where our clients bring their specific expertise in their business, and we bring the tech expertise. Together as partners, we create a solution that enables clients to make better decisions and go to market faster, giving them a competitive advantage.
AI Project Development
We help develop & deploy clients’ internal projects quickly. Through deep engineering and fast deployment to production, we help clients deliver what their customers need most. Operationalizing machine learning models in production is a must when generating business values.
AI Startup Incubation
We enable startups to develop novel AI products and solutions by aligning ourselves with strategic investors, and offering startups our AI expertise. Helping clients achieve high ROI from their AI investments is our mission, and accelerating AI adoption keeps us motivated.
AI Consulting
We engage in a co-creation process with our clients that is a combination of our AI engineering expertise and clients’ business domain expertise. Understanding how, why, and when data, business decisions, and models are changing makes it possible to grasp what is happening on the ground.
Selected case studies
Leading Portuguese telecom & media company.
GenAI Customer Care Assistant
Serves 2.5 million customers. Delivery of successful solution resulted in 7 new projects with client.
The Challenge
Responding to government requests took up to 3 days per request.
The Objective
Reduce operational demand while maintaining accuracy.
The Solution
Designed a generative AI workflow to automate email analysis and response creation.
The Impact
70% reduction in workload with 95% post-implementation accuracy.
Google Technologies Used
Vertex AI
Cloud Run
Cloud SQL
Compute Engine
Cloud Logging
App Engine
Largest e-commerce platform in Latin America
Predictive Classification Model
Delivery of successful solution for Brazil resulted in expanding across all company regions.
The Challenge
Unsustainable increase in insurance claims was impacting profitability.
The Objective
Reduce claim frequency to lower payouts while maintaining premium revenue.
The Solution
Developed predictive model to identify high risk users. 120 variables and runs daily on 50M users.
The Impact
20% reduction in claims with only 1% sales impact. Save $30-$50K/monthly.
Google Technologies Used
BigQuery
Cloud Run
Looker
Kubernetes
Leading institution for cancer care
Cancer Imaging and Biomarker Discovery
in collaboration with Harvard Medical School, and Brigham & Womens Hospital
The Challenge
Scarcity of large, annotated cancer imaging datasets.
The Objective
Create foundational model that can leverage un-labeled data and be applied to a different cancer data sets.
The Solution
Developed self-supervised learning model with 3D ResNet50 architecture.
The Impact
High accuracy in lesion classification, prediction, and prognosis, even with limited data.
Google Technologies Used
Cloud Leverage for its Medical Imaging Suite
Selected Use Cases
Commodities trading
Built a predictive model for price trends and automated collection of dealer insights and deployed into production.
Energy markets
Built a platform running optimization predictive models to manage uncertainty in trading energy assets for a Europe based energy broker.
Airport traffic
Developed a model that forecasts arrival and trajectories for incoming flights, which helped air controllers make better routing decisions with more advance notice.
Command recognition system
The system is based on a CNN-model to recognize commands enabling warehouse workers to have their hands completely free and navigate through the goods collection process using their voice only.
Visual inspection in manufacturing
Developed computer vision models using a small data set (as the customer could only provide a handful defect examples) to detect anomalies and faulty components in manufacturing lines used in semiconductor, automotive, and textile industries.
Survey answer classification system
Built a system that provided real-time feedback solutions by leveraging two ML models; first model to decide what information is asked in the survey question and second that assesses the answer and returns a score of how useful it is.
Examples of ROI
Reduction in insurance claims
3 months time to value • E-Commerce
Monthly cost savings on reduced claims
5 months time to value • E-Commerce
Reduction in workload
By automating email response with 95% accuracy
3 months time to value • Telco
Command recognition system
From 120 minutes to 1 minute at 70-95% accuracy
3 months time to value • E-Commerce
Reduction in fuel cost
With routing optimization, while increasing deliveries by 60-95%
4 months time to value • Retail
Reduction in delivery times
With cross-sell recommendation model, increasing sales by 20%
5 months time to value • Telco
Project Timeline
Opportunity Mapping
Identify optimal customer pain point and ROI use case leveraging proven implementations with client
2 weeks
Proof-of-Concept
Develop phased approach to demonstrate value
1 week
Production
Expand POC, set up MLOps, integrate data sources in months
1-2 months
Post-launch
Measure performance, improve models further, transfer knowledge, expand to broader audience
WE DEVELOP THE MOST POWERFUL AI SOLUTIONS
About us
We are hands-on, pragmatic, down-to-earth, problem solvers who value common sense solutions.
We achieve successful implementation of state-of-the-art AI through a combination of AI expertise, strong DevOps and software engineer skills, and the experience of our experts. This enables us to define the right architecture for each use case, fine-tune models with surgical precision, and finally deploy them in the right production environment.
We have specialized expertise in AI, Machine Learning, MLOps, and Robotics Process Automation. In addition, we have a long and successful track record of developing custom software solutions for clients in a variety of industries, that we can offer to clients in combination with AI expertise. This allows us to build a complete AI solution, and integrate it seamlessly within clients’ existing IT infrastructure.
We characterize working with clients as co-creation where our clients bring their specific expertise in their business, and we bring the tech expertise. Together as partners, we create a solution that enables clients to make better decisions and go to market faster, giving them a competitive advantage.
LET US ANSWER YOUR AI QUESTIONS
FAQ
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Who will be my point of contact when engaging with the 387labs team?
We will assign a team lead with specific expertise in your area of business that will be responsible for handling most of your requests, but you will at any point in time have access to anyone else on the team.
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How do I get access to top AI experts on your team?
Our AI experts will be available throughout the project and will be accessible to answer your questions, and provide advice. They provide guidance not only to the engineering team, but also on any specific use-cases based on their experience.
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Do you set up the entire environment for machine learning models to run in?
Yes, in addition to developing, training, and testing ML models, we also set up an entire environment for models to reliably, and efficiently, be deployed and maintained in production.
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Can I get a detailed analysis from your team about my specific issue, or a business case that I am trying to solve?
We provide a feasibility study as one of our services, to ascertain the project fit for application of AI technology. Our goal is to provide our clients with key insights that will enable them to develop realistic expectations around ROI for various AI initiatives.