Tradomatic is a Ukrainian tech startup in the agricultural sector, specializing in market research and trade analytics for grain producers and buyers. Since 2021, Tradomatic has aimed to streamline the process of finding offers and traders for agricultural commodities and provide the latest prices, trends, and conditions in local and international markets. The company operates a web-based trade information portal that connects grain buyers and sellers. Challenges Tradomatic faced technical challenges in scaling its user base due to unreliable messaging bot systems and inefficient trading request workflows. Despite attempts to improve the product internally, the company failed to meet user needs effectively. This situation forced the company to rethink its GTM approach and explore product development opportunities. 1 System Crashes The system utilized mobile messaging bots to update trading information on the portal. However, this bot infrastructure frequently crashed and required constant technical support. 2 Accessibility Barriers For end users, the registration process and access to trading information were overly complex, causing barriers to user engagement and platform scalability. 3 Verification Delays For the client team, verifying new traders and deals was a manual process, time-consuming and prone to inaccuracies. Challenges Tradomatic faced technical challenges in scaling its user base due to unreliable messaging bot systems and inefficient trading request workflows. Despite attempts to improve the product internally, the company failed to meet user needs effectively. This situation forced the company to rethink its GTM approach and explore product development opportunities. 1 System Crashes The system utilized mobile messaging bots to update trading information on the portal. However, this bot infrastructure frequently crashed and required constant technical support. 2 Accessibility Barriers For end users, the registration process and access to trading information were overly complex, causing barriers to user engagement and platform scalability. 3 Verification Delays For the client team, verifying new traders and deals was a manual process, time-consuming and prone to inaccuracies. Objectives Tradomatic wanted to improve user experiences, operational efficiency, and financial returns. The key objectives included: Ensure data accuracy Demand and supply data (such as seller, buyer, stock availability, transportation, price, volumes, etc.) should be accurate and up-to-date. Increase user base An effective mechanism should encourage producers, sellers, and traders of agricultural products to register on the platform and actively use it. Manage trade offers Tradomatic's staff should be able to analyze existing offers, manage new purchase-sale requests, and moderate user inquiries and feedback. Manage payments The platform should feature a subscription system with diverse plans and support for popular payment methods, upgrades, and notifications. Project Vision Considering the challenges and objectives, Tradomatic and Freshcode agreed to rebuild the existing bot infrastructure using JavaScript as the main stack, with the following below key capabilities. Progressive Web App Build a PWA portal customized to the client's needs, with a cost-optimized cloud architecture. User Journey Design the user interface and navigation to make the new portal more informative and engaging, thereby attracting new clients and increasing retention rates. User Contribution Create a collaborative system that encourages users to submit commodity details themselves, such as prices, volumes, payment terms, and transport options. Control Panels Design control panels for users and administrators; users can create and manage content such as company profiles and deals; administrators can interact with user content, manage incoming inquiries, and track payments. Subscriptions Payments Integrate subscription plans and payment APIs to provide users access to premium features, automated billing, and renewal processes. Results 9,000 Offers, 54,000 Prices Following the portal upgrade, Tradomatic saw over 9,000 new grain trading offers and 54,000 price inquiries submitted, showcasing the platform's growing appeal and improved functionality. 170,000 Map Views The new interactive map allows traders to view buyers, sellers, offers, and contact details across different locations in Europe. In the first 5 months, it generated over 170,000 views. Admin & Trader Panels In the Administrative dashboard, Tradomatic’s staff can verify incoming applications, manage users, track payments, and more. In the Client dashboard, traders can manage their profiles, create sale requests, and view buyer/seller details. Plans and Payments Traders can switch from a free plan to a few paid subscriptions offering premium features. The platform integrates with payment APIs, and staff can accept payments and manage user subscriptions.
Freshcode
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Having started in 2018 as a passion-driven solo project, Hi Rasmus now revolutionizes access to mental health services with a secure, user-friendly platform that connects patients with licensed therapists through 1:1 video sessions. With consulting and development assistance from Freshcode, Hi Rasmus evolved into the only HIPAA-compliant telehealth solution in its category, serving over 700 clinics in the USA, Europe, Australia, and the UAE. Technologies Frontend: Vue.js Backend: Firebase Database: Firestore Services rendered & Deliverables Process automation Automate repetitive tasks like data entry, document processing, and routine analysis with AI-powered RPA and workflow engines. We eliminate manual bottlenecks in your operations so your team can focus on tasks at hand instead of administrative overhead. Legacy system modernization Upgrade outdated infrastructure to work with modern AI tools without a complete overhaul. We add connectivity layers, migrate data architectures, and refactor systems so your existing platforms can support intelligent features and integrate with AI technologies. Predictive analytics & forecasting Turn historical data into actionable foresight. We build models that analyze patterns in your operations to predict demand, identify risks before they escalate, forecast trends and support proactive decision-making using the data you're already collecting. NLP & document automation Process unstructured text and documents at scale with natural language understanding. From voice-to-text transcription to automated report generation and intelligent document extraction, we integrate LLMs that read, understand and act on information trapped in documents. Our prompt engineering expertise ensures language models deliver consistent, accurate results tailored to your specific terminology. Challenges and solutions #01 Firebase (Google) doesn't sign a business associate agreement (BAA) and is not configurable in a HIPAA-compliant manner. It turned out that Google makes exceptions on a case-by-case basis to accept products as HIPAA-eligible if they have done due diligence. The Freshcode team implemented so-called HIPAA Technical Safeguards, including Access Control, Audit Controls, Integrity, and Transmission Security, to prevent identity theft and scams. We used IAM in GCP to secure Hi Rasmus' data with Firestore and signed a BAA to satisfy HIPAA regulatory requirements. #02 Comply with the data privacy policies of each country and state. Locally maintained databases in the USA, Europe, Canada, and Australia were divided and organized for low-latency environments and data security. All trackable data collected from app clients is cloud-based and stored in distributed, secure servers, making HIPAA compliance easier to achieve. #03 Ensure the video conferencing system is reliable and secure, and protect it from potential data breach risks. We utilized the Twilio cloud service to facilitate peer-to-peer (P2P) communication and ensure the required privacy. Twilio doesn't intercept the media in P2P rooms, so it's not possible to record or transcode video/audio calls in Hi Rasmus or to make it interoperable with other services. #04 Scale personalized therapy delivery while reducing administrative burden on therapists, maintaining clinical quality. We integrated multiple AI-powered features using GPT-4o to automate routine tasks and enhance therapy workflows. The implementation includes automated session note generation, voice-to-text field input for hands-free documentation, and AI-assisted program goal generation for treatment planning. Additionally, we deployed CodeRabbit for AI-powered code review, which immediately identified legacy bugs in existing code during initial testing. Business impact Top ABA software ranked among the top ABA data collection software for small practices 20% monthly growth in customer base since the first deliverables 700+ clinics across the USA, Europe, Australia, and the UAE 150,000+ AI-generated session notes monthly HIPAA-compliant - the only platform in its category able to deliver a HIPAA-compliant TeleHealth solution P2P video AI-generated session notes monthly