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Offerings

We do that through fusing together entrepreneurship, technology and academia into a comprehensive set of offerings.
  • AI Solutions

    Design, development, testing and deployment of customized AI applications and novel full-scale enterprise solutions.

  • AI Consulting

    Technical and business development support of key stakeholders looking to leverage data via AI as part of their strategic roadmap.

  • AI Training

    A range of workshops that cover technical and business development aspects related to applying AI to various industries and underlying issues.

Examples

  • Leverage of deep domain expertise aimed at creating significant value

  • Focus on early wins that clearly demonstrate the power of AI

  • Minimum disruption to existing infrastructure and IT resources

  • Comprehensive AI as a Service (“AIaaS”) offering, including data assembly and processing, coverage of security aspects and ongoing support of deployed solutions.

What To Expect

  • Gaining access to and initial analysis of large datasets

  • Tailor-made products resulting from close collaboration

  • Ongoing support (development, security and re-training)

Examples

  • Identifying, assembling and supplementing datasets

  • Ideation and conceptual design of AI applications to the enterprise

  • In-depth analysis of software, hardware and human capital requirements

  • Identification and approach of strategic partners (e.g., data access, security, etc.)

  • Initial deployment and integration risk management

What To Expect

  • Interviews with key stakeholders and on-site visits

  • Replication of expert research and demo creation

  • C-level and Board presentations and open discussions

Examples

  • Theoretical and practical overview of AI

  • Summary of where AI stands today

  • Hardware and AI environment requirements

  • Dataset assembly and preparation

  • Overview of underlying AI technologies

  • Presentation of various AI applications

What To Expect

  • Workshops led by established practitioners

  • Applied exercises in a controlled environment

  • Targeted ongoing assessment of training results

Deliverables

Modeling

Application of fine-tuned, pre-trained and hardened models for your business

ETL

Utilization of leading tools to transform and preprocess your raw data

Reporting

Leverage of ready-made and custom solutions for superior visualization of your data

Computer Vision

Image recognition, object detection and segmentation

Security

Threat modeling, vulnerability analysis and production hardening of vision models

NLP

Sentiment analysis and named-entity recognition

Face Identification

Face identification applied to images and videos

Recommendation Systems

Content-based recommendation systems applied to images, audio or text

Enterprise Dashboards

Comprehensive, dynamic and interactive data visualization

Industries

  • Banking

    Digitize processes to drastically reduce operating expenses and mitigate risk exposure while improving customer experience, data quality and process transparency.

  • Healthcare

    Automate the collection and validation of large volumes of unstructured data in order to offer better insights to staff, improve overall customer service and facilitate better patient outcomes.

  • Security

    Leverage AI to analyze photo/video/audio data at scale in order to decrease response times when addressing emergencies, accidents and distress calls.

  • Insurance

    Leverage AI to considerably reduce operating expenses, enhance customer service, strenghen branding and improve overall profitability.

  • Retail

    Leverage procurement, sales and other client data in order to better target customers, while driving rapid conversion and higher profitability levels.

  • Media & Telco

    Leverage the constant flow of client data (incl. social media channels) in order to improve the depth, breadth, timeliness and accuracy of client segmentation and profiling.

  • Agriculture

    Maximize crop yields by leveraging AI in order to digitize various manual processes, automate the collection and validation of large volumes of data and applying predictive data analysis.

  • Services

    Increase efficiency by digitizing various manual processes, maximizing employee productivity, integrating disparate legacy technology systems and leveraging predictive analytics.

Know Your Customer (KYC)

Confirm various data provided by customers against verified textual and/or image data by leveraging AI.

Account Opening

Vastly improve overall customer experience by automating front to back office gathering, enrichment, validation and transmittal of data (e.g., customer identity, income and employment records, etc.).

Anti-Money Laundering (AML)

Detect money laundering and fraudulent transactions by automating the collection and analysis of transaction details through AI.

Product recommendation systems

Greatly enhance ability to segment and effectively target customers, thus improving overall client experience while achieving better marketing/sales campaign results.

Customer support

Automate the process of properly assigning customer requests to customer support specialists and addressing them in an efficient manner (incl. via chatbots).

Sentiment/impact analysis

Analyze raw customer data through various social media platforms (e.g., Facebook, Twitter, Instagram, etc.) to measure the success of products, campaigns and the general public's sentiment towards the financial institutions.

Real-time face ID authentication

Further augment the typical methods used by financial institutions which rely on SMS messages or personal questions to validate the client authenticity by leveraging advanced AI-based face identification methods.

Claims Administration

Process claims received from providers and patients efficiently and at scale.

Claims Audit

Work with claims adjudicators to audit claims to identify waste, abuse and fraudulent claims.

Customer support

Automate the process of properly assigning medical enquiries and processing them in an efficient manner.

Molecule modeling

Apply deep learning techniques to molecule modelling in order to provide valuable insights to product developers as to client preferences and the underlying composition of products.

Treatment optimization

Apply various AI techniques to the genome level so that a more targeted and effective treatment is delivered.

Image analysis

Apply deep learning techniques to automate the analysis of MRI scans in order to improve early detection and treatment of diseases (e.g., cancer).

Customer support

Automate the process of properly assigning client queries and processing them in an efficient manner (incl. via chatbots).

Face detection/identification

Quickly identify individuals and their location by applying computer vision to CCTV footage at scale and in real time.

Location pinpointing

Leverage computer vision to pinpoint the location of an individual based on their surroundings displayed in a photo/video of them.

Privacy protection

Use adversarial attacks to prevent photos of people and faces from being susceptible to face identification across social media and other popular platforms.

Automated emergency reaction

Analyze data captured by cameras and IoT sensors in order to detect fires, floods, gas leaks and other emergencies in real time, thus expediting the dispatch of response teams.

Text analysis

Leverage NLP functionality to analyze text at scale (chat rooms, internal email, etc.) in order to detect any potential security and reputational threats.

Cybersecurity

Leverage AI to detect and patch vulnerabilities in computer systems through thread modelling and vulnerability analysis.

Dynamic quoting

Engage in real time analysis of clients' substantial public online data footprint, including textual, imagery, video and voice data in order to regularly adjust clients' rates & rankings, depending on their profiles/activities.

Behavioral pricing

Leverage clients' behavior data such as telematics data (acceleration, brakes usage, GPS data, etc.) and video (dashcam) in order to significantly improve the risk assessment accuracy for any individual driver based on his/her prior and ongoing behavior.

Know Your Customer (KYC)

Confirm various data provided by customers against verified textual and/or image data by leveraging AI.

Product recommendation systems

Greatly enhance ability to segment and effectively target customers, thus improving overall client experience while achieving better marketing/sales campaign results.

Real-time face ID authentication

Further augment the typical methods used by insurance companies which rely on SMS messages or personal questions to validate the client authenticity by leveraging advanced AI-based face identification methods.

Sentiment/impact analysis

Analyze raw customer data through various social media platforms (e.g., Facebook, Twitter, Instagram, etc.) to measure the success of products, campaigns and the general public's sentiment towards the insurance company.

Customer support

Automate the process of properly assigning insurance claims and processing them in an efficient manner (incl. via chatbots).

Inventory compliance

Constantly monitor stock and placement of products through computer vision and ensure higher customer satisfaction and track performance against agreed planograms for various suppliers.

Shelf space pricing

Real time analysis of customers' foot traffic through computer vision and implementation of smart shelf pricing, thus moving away from the prevalent rigid pricing schemes and maximizing revenues from shelf space allocation.

Product recommendation systems

Greatly enhance ability to segment and effectively target customers, thus improving overall client experience while achieving better marketing/sales campaign results.

Sales forecasting

Leverage AI in order to generate domain-specific sales forecasting, thus improve accuracy and causality links while moving away from the prevalent forecasts based on a hard-coded numbers based on the previous year's sales.

Sentiment/impact analysis

Analyze raw customer data through various social media platforms (e.g., Facebook, Twitter, Instagram, etc.) to measure the success of products, campaigns and the general public's sentiment towards a specific brand or the retailer as an entity.

Customer support

Automate the process of properly assigning customer requests to customer support specialists and addressing them in an efficient manner (incl. via chatbots).

Account Opening

Vastly improve overall customer experience by automating front to back office gathering, enrichment, validation and transmittal of data (e.g., customer identity, income and employment records, etc.).

Real-time face ID authentication

Further augment the typical methods used by telecommunications and media enterprises which rely on SMS messages or personal questions to validate the client authenticity by leveraging advanced AI-based face identification methods.

Hardware defects identification

Leverage computer vision to review image and video footage from cell tower inspections (carried out with drones) in order to lower costs, minimize downtime and improve overall user satisfaction levels.

Log mining

Greatly reduce the maintenance cost related to inspecting the massive amounts of log data for software and hardware failures coming from tens of thousands of nodes and minimize downtime by leveraging AI while improving overall user satisfaction levels.

Product recommendation systems

Greatly enhance ability to segment and effectively target customers, thus improving overall client experience while achieving better marketing/sales campaign results.

Sentiment/impact analysis

Analyze raw customer usage data related to telecommunication services and social media platforms (e.g., Facebook, Twitter, Instagram, etc.) to measure the success of products, campaigns and the general public's sentiment toward various topics.

Customer support

Automate the process of properly assigning client requests and processing them in an efficient manner (incl. via chatbots).

Yield forecasting

Leverage satellite imagery, weather information and historical yield data in order to accurately predict crop yields.

Crop & soil health monitoring

Leverage computer vision and AI to process photo/video data collected from drones or stationary cameras in order to monitor the state of soil and crops and recommend steps to maximize yields.

Weed control

Leverage computer vision and IoT sensor data to detect weeds, their types and their geographic concentration in order to select the appropriate herbicides to apply those to specific areas.

Maximize return on crops

Analyze and correlate information about weather, soil types, seed types, weed infestations, crop pricing and crop demand in order to help determine the crop choice(s) that deliver the highest profitability.

Forecasting

Leverage client usage and overall profile data in order to generate dynamic pricing for various services and thus maximize profitability.

Operator recommendations

Tailor clients' experience by implementing AI-based recommendation system which matches operators with the specific client profile.

Process optimization

Utilize AI when it comes to prediction of passengers' destination, route planning, vehicle deployment (incl. more accurate pickup/drop off times) and higher safety levels.

Customer support

Automate the process of properly assigning client queries and processing them in an efficient manner (incl. via chatbots).

Technologies

Data
Cassandra
Redis
ELK
RDBMS
Modeling
Tensorflow
Keras
Caffe
Python
Scikit-Learn
ETL
Spark
Flink
Pandas
Reporting
SSRS
Tableau
Grafana
Kibana
D3.js
OLAP
SSAS
Druid

Team

  • Angel Kelchev
    CEO
  • Alexander Kolev
    CTO
  • Vasil Rabuhchiev
    CFO
CEO
PROFESSIONAL BACKGROUND
  • 11+ years of M&A and business development experience both in the United States (Union Square Advisors, Lehman Brothers, Morgan Stanley) and in Bulgaria (Endeavor, Ernst & Young, Entrea Capital).
  • Previously advised US companies from the software, internet, consumer electronics, home entertainment and semiconductor sectors (sell-side M&A advisory, buy-side M&A advisory, takeover defense, private placements, etc.).
  • Previously advised Bulgarian companies from the ICT, industrial manufacturing, FMCG, personal finance, traditional and online retail, agriculture and other sectors (sell-side M&A advisory, buy-side M&A advisory, equity and debt capital raising, Board advisory, etc.).
ACADEMIC BACKGROUND
  • Harvard University: MPA Degree (2011).
  • Stanford University: BA Degree, Economics (2006).
  • Harvard Business School: SVMP (2005).
  • London School of Economics: two corporate finance courses (2005).
  • Bellevue College: AAS Degree, Business Administration, Honors (2004).
  • Fluency in English and Bulgarian (native).
INTERESTS
  • Avid squash and basketball player.
  • Advocate for access to high-quality education.
  • Investing in and scaling various businesses.
CTO
PROFESSIONAL BACKGROUND
  • 16+ years of professional R&D experience, out of which 7+ in management role. Has spent the last 10+ years in a corporate environment with the last 4 of these on the management track.
  • Successfully completed a wide range of projects in various domains – distributed online gambling systems, F1 real-time telemetry systems, ERPs, Analytics, Cloud infrastructure (API/CLIs), etc.
  • Successfully led and coordinated projects involving over 10 teams, spread over 3+ geographies.
  • Active participation as a consultant on various projects.
ACADEMIC BACKGROUND
  • Sofia University: MSc in Computer Science (2007).
  • Fluency in English and Bulgarian (native).
INTERESTS
  • AI enthusiast and technologist.
  • Relentless rock climber.
  • Passionate photographer.
  • Keen piano player.
CFO
PROFESSIONAL BACKGROUND
  • 5+ year of Capital Markets experience at bulge bracket (Bank of America Merrill Lynch, Citibank), specialized (ICBC Standard) and buy-side (Rothesay Life) financial firms.
  • Specialized in the valuation of the full range of fixed income instruments (vanilla debt; structured assets; vanilla and exotic derivatives).
  • Developed a deep understanding of financial and capital management of large and complex financial institutions, subject to complex regulatory regimes under different jurisdictions.
  • Worked on buy-side investments across commercial real estate, corporate and infrastructure bonds.
  • Previously worked on the re-financing of one of the largest telecoms in Bulgaria.
  • 2+ years of Corporate Finance and Business Development experience at large multinationals (Siemens, IBM)
  • Previously responsible for the financial control of a business unit engaged in the installation of large-scale renewable energy projects (Siemens).
  • orked on the optimization of invoicing and controlling procedures for a multifaceted EMEA-based business (IBM).
ACADEMIC BACKGROUND
  • University of Warwick, Warwick Business School: MSc Finance (2016).
  • University of Warwick, Warwick Business School: BSc International Management (2012).
  • McGill University: BSc International Management (exchange year, 2010).
  • Chartered Management Accountant (CIMA, 2015).
  • Fluency in English and Bulgarian (native); Intermediate German.
INTERESTS
  • Avid swimmer, skier and tennis player.
  • Equity research and investing (personal account).
  • Key role at an NGO, focused on engaging young Bulgarian expats in social, economic and political initiatives.
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Open positions

Contact

Centroida JSC
46 Akad. Stefan Mladenov Street, Entr. A, Office 15A
Sofia 1700, Bulgaria
info@centroida.ai