Our Portfolio

Value Beyond What You Think You Need

Each result we have delivered acts as evidence for true value delivery beyond what the client has expressed as his need in his industry. See for yourselves the outcome when analytical precision and engineering excellence is met with challenges.

ProductsFlightSmart Travel

FlightSmart

A comprehensive travel agency booking platform with integrated digital wallets and commission tracking. Travel agencies sell air tickets, hotel bookings, visas, travel insurances and destination tour packages. All of these products are sold by multiple different agents. One of the problems here is that too many things are getting sold via too many channels resulting in lack of traceability and lost revenue. This expands even further towards losing sales due to not been able to follow up or action out timely on inquiries resulting even in customer dissatisfaction and lost reputation. FlightSmart brings all the air ticket reservation platforms, Destination Management Systems, travel Insurance reservation and visa applications to a single platform enabling agents to look at only a single system and maintain a single record for tours operated by them. Customer Relationship Management also is a part of FlightSmart, making it convenient to measure and build customer loyalty while maintaining consistency in products and rates. There is a fully fledged Human Resource Management System embedded into this system as well making FlightSmart capable of maintaining employee profiles, employee availability, conducting automated results driven evaluations and even taking care of the payroll. FlightSmart is certainly a game changer for the agencies it is rolled out for because it has almost completely taken out the need for a dedicated accounting team being capable of going to the extents of conducting automated bank and IATA reconciliations + it gives full visibility to managers on how the business is running while providing a single ground for the travel agents to play their game.

Next.jsTypeScriptNode.jsPostgreSQL+4

PlatformsHealthcare MSO

MSO Care Orchestrator

"Healthcare" is a large industry where the consumers are entitled for care services while providers are entitled to get paid for the services they render. Management Services Organizations come in to play to assure that both of these parties get what they are entitled for, meaning MSOs are supposed to make sure that quality care is delivered to patients while healthcare providers have a well managed revenue cycle and adiministration. This is not as easy as it is told because it involves many processes and a lot of work such as credentialling and payer contract management, utility management, appointments and scheduling, prior authorization, coding and claim adjudication prior to billing, billing, denial management, posting, categorization of patients based on health risks, following up with patients on their care plans etc. Due to this reason MSOs usually have a significant amount of staff who are specialized in each of these functions. The goal of this application was to bring all of these processes under a single product and automating most of it whilst exposing statistics and supporting decision making. Our client being a group of doctors, could not allocate enough time to explain these processes to our team, yet, however, utilizing on the fly research and fast prototyping we managed to deliver a working prototype that met ~90% of the application just the way we promise to all of our clients. Having started as a working Prototype MSO Care Orchestrator now functions orchestrating care across multiple healthcare providers in the US while utilizing only 20% of the staff it originally required.

ReactPythonFastAPIPostgreSQL+4

AIEnterprise Client

DocBrain

Our client was tasked with reading scanned images of handwritten medical records as a part of the operation his business was running and the way they had chosen to solve this problem was via allocation of human resources under the experience based assumption that humans are needed to read complicated handwriting and most importantly understand without disregarding the subtle nuances. We proposed a solution that uses OCR to extract text from these medical records and understand content utilizing LLMs that operate within defined guardrails. We managed to finetune our approach to an extent where we reached an accuracy of close to 97% in information extracted while flagging scenarios where human intervention is recommended.

PythonFastAPIOpenAI GPT-4LangChain+4

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