Data Science Services
Harness the Power of Custom AI & Machine Learning Models
This is what we love
Why Data Science Matters
"Data is the new oil” is a cliché—but it’s true that hidden in your data are trends and patterns you can leverage for competitive advantage.
With a practical approach and off-the-shelf frameworks, we bridge the gap between data and real-world results
Whether you want to predict demand, personalize user experiences, or uncover hidden savings, we’ll help you quickly and cost-effectively make your data work for you.
Natural Language Processing
Extract value from text data: sentiment analysis, chatbots, summarization.
Utilize Existing Models
Save time and cost by customizing proven solutions instead of building from scratch.
Custom Machine Learning Models
From regression to deep learning: We tailor solutions to your domain.
Predictive Analytics & Forecasting
Demand forecasting, predictive maintenance, and more.
Clustering & Classification
Segment customers, classify documents, or detect anomalies.
Computer Vision
Turn images and videos into insights: object detection, facial recognition, quality control in manufacturing.
Recommender Systems
Drive user engagement and conversions with personalized recommendations.
Time Series Analysis
Spot seasonal trends, future projections, anomaly detection.
We know the tech
expertise show-off for our fellow nerds 🤓
Our Approach to Data Science Technology
We stay at the forefront of AI and ML while staying true to a practical, results-first philosophy. Instead of chasing hype, we look for proven tools that align with your business goals. By combining open-source powerhouses like scikit-learn or Hugging Face with enterprise-grade platforms like Azure ML or AWS SageMaker, we can accelerate project delivery and ensure compliance without sacrificing quality.
Production-Ready Implementation
Many data science projects get stuck at the proof-of-concept stage. Our team’s expertise extends beyond modeling into deployment, monitoring, and ongoing optimization—all while adhering to GDPR and other regional data regulations. We know how to build scalable pipelines, set up robust CI/CD workflows, and apply DevOps best practices so your models are production-ready from day one.
Automated Machine Learning
We expedite model selection and hyperparameter tuning with tools like H2O, Auto-sklearn, and Azure AutoML—faster results without sacrificing quality
Open-Source & Proprietary Models
A vast ecosystem of state-of-the-art models ready for fine-tuning—no reinvention required.
There are many software houses
Why choose us?
Senior-Led Expertise
Every project is guided by a senior Data Science specialist with 10+ years of experience, ensuring top-tier solutions from day one.
Pragmatic Innovation
We apply cutting-edge models when it truly benefits your use case, otherwise we use tried-and-true methods to reduce costs.
All-in-One Data & Software Teams
Every great insight starts with a question
let’s explore your data’s untapped potential
Our Offer
How We Can Work Together
Below are our primary collaboration models, designed to address common pain points—from tight deadlines and limited in-house expertise to uncertainty about data quality and GDPR compliance. Choose what best fits your goals, or let us propose a custom blend.
Discovery Sprint (1–3 Weeks)
Overview
Sometimes, you just need a quick, low-risk way to see if your data can deliver meaningful insights. Our Discovery Sprint is a focused engagement where we review your dataset, assess its quality, and identify predictive opportunities.
perfect If you want:
Want a quick proof of concept before committing a bigger budget
Not sure if you have enough data—or the right data.
Looking for a fast but reliable way to test predictive analytics or machine learning viability
Results
Proof of Concept
A lightweight model or prototype that demonstrates immediate possibilities
Rapid Analysis
A clear summary of data health, compliance considerations, and ML potential
Actionable Next Steps
A roadmap detailing how to move from sprint findings to full-scale implementation.
Model Development & Integration
Overview
Ready to take the next step? We build and fine-tune a custom ML/AI solution that directly tackles your business challenge. From predictive analytics and time-series forecasting to NLP or computer vision—we ensure your model is production-ready, seamlessly integrated into your environment, and GDPR/AI-act compliant.
perfect If you want:
You need advanced algorithms or specialized architectures to get real value
Eficient process that doesn’t re-invent the wheel, using state-of-the-art models and frameworks
Your ML model to plug into existing systems, web apps, or SaaS platforms
You have a dev team, but no one with deep ML expertise or compliance know-how
Results
Production Ready Solution
End-to-end solution, tested and ready for real-world use
Custom Architecture
Tailored to your domain and data volume
Compliance by Design
Data governance, GDPR/AI-act considerations, and secure data handling
App & Model Development
Overview
In some cases, you need more than a standalone model; you need custom software that incorporates advanced machine learning from the ground up. We combine data science and full-stack development to deliver a data-driven App or SaaS platform—from initial design to final deployment.
perfect If you want:
Building a next-gen App that revolves around predictive or ML features
Single partner to handle front-end, back-end, and ML components, plus compliance
A cohesive team that avoids “handoff” confusion between devs and data scientists
Results
Integrated Solution
Machine learning seamlessly weaved into your core user experience
Faster Time to Market
No back-and-forth between multiple vendors—everything’s under one roof.
Future-Ready Development
Modular, scalable codebase that accommodates new features, bigger data, and user growth
Custom challenge?
Sometimes a project doesn’t fit neatly into any box. That’s why we offer a flexible engagement model—whether you need a blend of consulting, MVP help, or ongoing development support, we’ll tailor a plan just for you.
Let's find our way together
Challenging project? We’d love to know more!
Let's get started!
Our Simple Process
A simple, flexible process to bring your ideas to life.
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Step 1:Data Discovery
Share your data challenges with us. We’ll evaluate your dataset and define KPIs together. -
Step 2:Set Achievable Goals
Outline specific project objectives, align on deliverables, and identify compliance measures. -
Step 3:Model Development
Build and refine a custom ML model or solution. We keep you in the loop with agile sprints -
step 4:Deploy, validate results, and prepare for any future enhancements—ready to scale as you grow.
These are our commandments
Radical Transparency
Full access to our ticket system, code base, and development environment.
Pragmatic Innovation
We use cutting-edge tech without chasing trends—only if it brings real value.
Collaborative Ownership
We work with you, not just for you. Your feedback steers every decision.
Quality at Speed
Agile processes that deliver impactful results swiftly, without compromise.
Let's meet!
Schedule a call to discover more about Awakast and its possibilities to help you.
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