Your partner for data-driven innovation
Consulting that realizes your digital goals, makes processes future-proof and drives sustainable innovation. We turn your vision into reality.
Our service
Innovative technologies for data analysis, AI, and automation to maximize efficiency and productivity.
Optimized process automation
We use micro-services and cloud technologies to optimize your workflows and make your company more efficient.
Case Study 1
Problem: Manual project planning and sales processes led to delays and missed opportunities.
Solution:
Built micro-services to integrate project planning tools, customer relationship management (CRM) systems, and sales pipelines.
Deployed cloud-based automation for handling customer inquiries, reservations, and follow-ups during sales cycles.
Case Study 2
Problem: Manual processes for financial modeling, portfolio monitoring, and exit planning caused delays.
Solution:
Introduced cloud-based micro-services to integrate portfolio company data, automate financial analysis, and streamline deal workflows.
Enabled secure, real-time collaboration for cross-functional teams using a centralized platform.
Case Study 3
Problem: Disjointed systems for tracking portfolio performance, investment pipelines, and due diligence.
Solution:
Built a micro-services architecture to automate performance reporting, fund allocation tracking, and compliance workflows.
Deployed a cloud-based dashboard consolidating financial KPIs and startup growth metrics in real time.
Development of modern analysis environments
Create scalable data structures and make the best possible use of insights. Turn your data into a valuable basis for decision-making.
Case Study 1
Problem: Limited ability to analyze property performance across a diverse portfolio.
Solution:
Built a scalable data lake architecture to consolidate data from multiple sources, including rent rolls, energy usage, and occupancy rates.
Deployed a cloud-based analytics platform with dashboards for real-time monitoring and forecasting of key performance indicators (KPIs).
Case Study 2
Problem: Inconsistent tracking of startup performance and difficulty identifying high-growth opportunities.
Solution:
Created a cloud-native analytics environment integrating portfolio companies’ financial and operational data.
Used data-driven insights to identify trends in startup metrics (e.g., ARR, user growth, burn rate).
Case Study 3
Problem: Lack of real-time insights into delivery times, warehouse efficiency, and fleet performance.
Solution:
Designed a data platform to unify tracking, warehouse, and customer data into a single analytics environment.
Implemented advanced algorithms for predictive route optimization and demand forecasting.
Development of individual ML and AI solutions
We turn your vision in the field of machine learning and artificial intelligence into concrete, feasible projects – from conception to implementation.
Case Study 1
Problem: Inefficient pricing strategies for high-value properties due to manual analysis of market trends.
Solution:
Developed an AI-powered pricing engine that analyzes local market conditions, historical sales, and property features.
Integrated computer vision to evaluate property images and estimate their market appeal.
Case Study 2
Problem: Difficulty in identifying high-potential investments from a large pool of startups.
Solution:
Built an AI model to evaluate startup potential by analyzing founders’ backgrounds, product-market fit, and funding trends.
Applied natural language processing (NLP) to analyze pitch decks and online sentiment about startups.
Case Study 3
Problem: High costs and inefficiencies in route planning and fleet utilization.
Solution:
Implemented an AI-based optimization algorithm for dynamic route planning based on real-time traffic, weather, and shipment priorities.
Built predictive maintenance models using ML to reduce fleet downtime.
Partner
People behind the data
Juri Ostaschov
Principal Chief Data Scientist
Chief Data Scientist with 8+ years of experience in predictive ML solutions, cloud implementations, real-time dashboards and data-driven process optimization.
TBA
Senior Data Engineer
Senior Data Engineer with extensive experience in leading data and BI teams, specializing in data process automation, cloud architecture, ETL pipeline development and airflow orchestration.
Long Pham
Senior Cloud Data Engineer
Senior Cloud Data Engineer who leverages generative AI and scalable cloud platforms to develop tailored automation and data strategies. With a focus on GCP technology and mentoring in cloud architecture, he supports companies in effectively implementing data-driven decisions and realizing sustainable growth strategies.
Enterprise
Allround
If required, we can draw on a team of experienced data scientists, analysts, engineers and software developers to implement projects efficiently.
Companies which trust us:
