Verified Profile
AI Development Chatbot Development Research & Development Consultations Educational Support Data Engineering

  • Summary

    Profile Status
    Poland(Central European Standard Time)
    Years in Business
    Sectors and Industries
    marketing legal fintech manufacturing real-estate

    About Us

    AI Consulting, AI Strategy, Data Engineering, Machine Learning, Prompt Engineering, AI Development, MLOps, LLMOps

    Years in Service
    Team Size
    Min contract size
    Avg hourly rate
  • What we do

    We are great at these things.

    LLM Finetuning Autonomous Agents NLP Messaging
    AI Development
    We implement self-hosted, private models as well as integrations into full-service LLM hosts such as OpenAI.
    Chatbot Development
    Enhancing customer engagement and service through intelligent, conversational bots.
    Research & Development
    Optimizing LLM applications for utility using the latest releases and
    We help review AI strategies and share learnings from our experiences with stacking LLM features.
    Educational Support
    Empowering your team with the knowledge to leverage AI tools effectively.
    Data Engineering
    Building data pipelines
  • Our Previous Work

    Some of our previous work.


    Optimisation of production line parameters with VertexAI

    Scope: Data cleaning and analysis using VertexAI. We proved that VertexAI with the help of BigQuery is able to handle large sets of incrementing data in real time. Furthermore, with VertexAI we were able to automate the testing, training and optimisation of the proposed algorithms. We were also able to expose an algorithm that allows the prediction of settings for operators. Technologies: GCP, VertexAI, BigQuery, Python, Looker Results: Our work has demonstrated that VertexAI is an agile use of cloud tools for faster acquisition of optimal production line settings. In addition, our experiments have proven that VertexAI enables faster model training and optimisation than on an on-premise infrastructure. The rate of correct prediction of machine settings was 75%. Costs of future infrastructure maintenance have been reduced to the minimum.

    Data Engineering

    Geospatial Data analytics platform modernization

    Scope The solution was based on the fact that Stewpise wanted to build a solution that, with the help of Dataflow, would process data from different customer sources in parallel. The next step was to process this data. We used Big Query for this. Then, based on BigQuery, we created a geospatial data visualisation using BigQuery Geo Viz. Technologies: GCP, IoT Core, BigQuery, Dataflow, PubSub, Apache Spark, Kafka, Terraform, Apache Airflow Results (end customer) We have proven that by using BigQuery and Dataflow, it is possible to almost completely reduce the cost of maintaining the infrastructure and ensure that it scales with data growth. This allows the customer to focus on data analysis instead of data maintenance. Furthermore, with BigQuery and Geo Viz, we have proven that data analysis, report generation and visualisation is possible within >1 min. Increased performance compared to existing solution Easy performance scaling Strong support for both Google Services and External Services Native support of Geospatial types that allow to optimise complex queries Storing historical data is cheaper and easier

    Software/Web Development

    AI Platform for risk decision engine

    Scope We took on responsibility for their architecture design and entire product development process. We created a fully scalable SaaS platform, which is now successfully implemented by 4 end clients. We have conducted complex integrations with 3rd party solutions offering risk assessment and borrower verification services. We have made sure that the final product follows the PSD2 and GDPR guidelines. Technologies: GCP, Java, Flowable, Tensorflow, Kubernetes Results For the end customer 80% cost reduction on new features IT Development of Smart Fintech Platform; 80% maintenance costs reduction; 50% infrastructure cost reduction thanks to Cloud; For our client – offering real added value and creating a competitive advantage We created real value and a competitive edge by automating processes, slashing consulting costs to a setup minimum, and creating a scalable business model adaptable to diverse industries like Insurance, Telecom, and debt collection, efficiently managing data volume and process complexity. For our client – time savings We optimized time by liberating business personnel from testing or IT tasks, allowing them to focus on business development; our solutions enabled non-IT staff to easily update processes in near-real time without additional IT involvement through a low-code platform.

  • How did we do?

    This is what our clients say about us.