Sparkbit

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Overview

$5,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

10 - 49

Employees

2014

Year Founded

ABOUT SPARKBIT

Your Partner in Challenging Projects

Sparkbit is a software development company that specializes in machine learning, data processing, and backend systems. Our team comprises highly qualified software engineers with PhDs and master's degrees, enabling us to develop software solutions that leverage scientific expertise to address real-world business challenges. Core Services: - **Machine Learning and Computer Vision**: We conduct research and develop models, offering a full ML lifecycle supported by MLOps and utilizing techniques such as Deep Learning, Natural Language Processing, and recommendation systems. - **System Architecture & Backend**: We tackle complex algorithmic challenges with an emphasis on scalability, security, and reliability. Our services include processing and analyzing high-frequency and time-series data, as well as data from IoT devices. - **R&D Prototypes**: We focus on solving intricate problems and creating innovative software systems, delivering quick proof-of-concepts and minimum viable products to test initial concepts.

Tech Stack

Amazon Application Development FrameworkGoJavaJavaScriptKotlinPython

Languages Spoken

EnglishPolish

HIGHLIGHTS

$5,000+

Min Project Size

$100 - $149/hr

Avg Hourly Rate

10 - 49

Employees

2014

Year Founded

Services

Focus

Industries

Clients

Services Provided

25% Machine Learning Model Development

20% MLOps & Model Deployment Infrastructure

5% AI Strategy & Roadmap Consulting

50% Backend Development

Portfolio

5x5 Technologies - ML for digital twin assessment

5x5 Technologies

Challenge 5x5 is a US-based startup focused on creating an innovative inspection and maintenance system for telecom masts. Their approach involves using a 3D digital twin of the masts to identify key characteristics, such as installed equipment and available space. As the company grows, scalability becomes crucial, particularly with plans to enter new markets. Our team joined the project to automate the augmentation of digital twin data and to provide a new system architecture for future development. To significantly reduce costs associated with core business functions, we aimed to develop machine learning models that could automatically evaluate the 3D model of the mast, identifying and tagging its components, including specified objects, devices, and unused space. Our solution incorporates various techniques, ranging from deep learning for 3D object recognition to image analysis and 3D graph exploration of the digital twin. We plan to cut the time required for a complete analysis and annotation of the tower's digital twin by 60% with our implementations. Additionally, our engineers established a contemporary microservice-based architecture and a new data model to enhance the client's system development. With the introduction of more standardized coding practices, the system has become more reliable, stable, and manageable, as well as easier to expand.

Spicerr - ML for recipe recommendation

Spicerr

**Challenge**: Our client is a food tech startup based in Israel aiming to transform home cooking. They are creating an innovative smart dispenser paired with an AI-driven mobile app that can automatically evaluate any recipe. The application features two main functions: enhancing dishes by selecting the best ingredients and spices, and suggesting alternatives for ingredients and flavorings that may be unavailable or unsuitable (for instance, due to allergies). To provide this solution, our team of machine learning engineers needed to design a system capable of recognizing ingredients and their uses. **Solution**: Given the unique nature of this challenge, we adopted an experimental approach. We proposed and tested multiple strategies, ultimately deciding to merge natural language processing (NLP) algorithms with classification methods and concepts from recommendation engines. This led to the development of a sophisticated machine learning system that addresses key business challenges, including primary use cases. The system was trained on a dataset containing over 400,000 recipes from around the globe and currently includes a database of more than 400 flavorings, catering to a wide range of culinary tastes and preferences.

Italist.com - e-commerce platform

Unknown

Challenge: Italist is an e-commerce platform that features 1,000 international brands and 200,000 luxury products for a global customer base, attracting millions of visitors each year. Initially, it was developed as a PHP monolith with a MySQL database. Over time, the increasing number of users and features led to a system that was difficult to maintain and expand. Solution: Our client recognized the need to decompose the system into smaller, more manageable subsystems. This process included containerizing each new subsystem for easier deployment and scalability. We collaborated with the core Italist team to ensure a smooth and rapid transition, minimizing the risk of regressions during this time-sensitive period, particularly due to the approaching holiday season. Our team played a vital role in developing various components of the system. We implemented individual microservices using Go and set up new deployments and services within a Kubernetes environment. We also designed and established new gRPC interfaces for communication between microservices. Additionally, we contributed to the frontend development using React and Next.js. Alongside the transition, we were involved in ongoing maintenance and feature development, such as integrating feeds from new partners and enhancing SEO.

13 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$5,000+

Average Hourly Rate

$100 - $149/hr

Pricing Snapshot

Min Project Size

$5,000+

Avg Hourly Rate

$100 - $149/hr

Cost Rating

N/A

What Clients Have Said

"Sparkbit delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet. Reviewers either haven't shared a project budget or kept theirs confidential.

Select a service

Machine Learning Model Development

MLOps & Model Deployment Infrastructure

AI Strategy & Roadmap Consulting

Backend Development

Locations

Headquarters

Wańkowicza 5/30

Warszawa, Masovian, Poland 02-796

Headquarters

Grabarska 1, building B, III fl.Dolnośląskie 50-079

Lower Silesia, Poland 50-079

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