Grid Capital
Ever wondered how trading companies stay on top of the latest news and market trends? Well, here’s a little peek behind the curtain at Cozy Ventures, where we tackled just that challenge for Grid Capital Inc. Our goal was simple yet ambitious: create an AI buddy that’s not just smart, but also super helpful in sorting through vast amounts of information and making sense of it all.
Grid Capital
Finance
ML/AI, Backend
Python
2023
Ever wondered how trading companies stay on top of the latest news and market trends? Well, here’s a little peek behind the curtain at Cozy Ventures, where we tackled just that challenge for Grid Capital Inc. Our goal was simple yet ambitious: create an AI buddy that’s not just smart, but also super helpful in sorting through vast amounts of information and making sense of it all.
Grid Capital
Ever wondered how trading companies stay on top of the latest news and market trends? Well, here’s a little peek behind the curtain at Cozy Ventures, where we tackled just that challenge for Grid Capital Inc. Our goal was simple yet ambitious: create an AI buddy that’s not just smart, but also super helpful in sorting through vast amounts of information and making sense of it all.
Overview
Grid Capital needed a way to keep up with the constant flow of financial news. Analysts were spending too much time scanning sources and extracting signals manually.
We built an AI assistant that ingests financial news, structures the information, and allows traders to query it through a conversational interface.
The goal was simple: reduce the time required to understand market developments and surface relevant insights faster.
Overview
Grid Capital needed a way to keep up with the constant flow of financial news. Analysts were spending too much time scanning sources and extracting signals manually.
We built an AI assistant that ingests financial news, structures the information, and allows traders to query it through a conversational interface.
The goal was simple: reduce the time required to understand market developments and surface relevant insights faster.
Overview
Grid Capital needed a way to keep up with the constant flow of financial news. Analysts were spending too much time scanning sources and extracting signals manually.
We built an AI assistant that ingests financial news, structures the information, and allows traders to query it through a conversational interface.
The goal was simple: reduce the time required to understand market developments and surface relevant insights faster.
Overview
Grid Capital needed a way to keep up with the constant flow of financial news. Analysts were spending too much time scanning sources and extracting signals manually.
We built an AI assistant that ingests financial news, structures the information, and allows traders to query it through a conversational interface.
The goal was simple: reduce the time required to understand market developments and surface relevant insights faster.
Challenges
Real-time information
Financial news changes constantly. The system needed to process incoming data continuously and return relevant context when users asked questions.
Large-scale data retrieval
As more sources were integrated, the dataset grew quickly. Retrieving relevant information from large volumes of financial content became a key challenge.
Reliable AI pipeline
The assistant combined multiple components — data ingestion, vector search, and language models. These parts needed to work together consistently in production.
Challenges
Real-time information
Financial news changes constantly. The system needed to process incoming data continuously and return relevant context when users asked questions.
Large-scale data retrieval
As more sources were integrated, the dataset grew quickly. Retrieving relevant information from large volumes of financial content became a key challenge.
Reliable AI pipeline
The assistant combined multiple components — data ingestion, vector search, and language models. These parts needed to work together consistently in production.
Challenges
Real-time information
Financial news changes constantly. The system needed to process incoming data continuously and return relevant context when users asked questions.
Large-scale data retrieval
As more sources were integrated, the dataset grew quickly. Retrieving relevant information from large volumes of financial content became a key challenge.
Reliable AI pipeline
The assistant combined multiple components — data ingestion, vector search, and language models. These parts needed to work together consistently in production.
Challenges
Real-time information
Financial news changes constantly. The system needed to process incoming data continuously and return relevant context when users asked questions.
Large-scale data retrieval
As more sources were integrated, the dataset grew quickly. Retrieving relevant information from large volumes of financial content became a key challenge.
Reliable AI pipeline
The assistant combined multiple components — data ingestion, vector search, and language models. These parts needed to work together consistently in production.
Solutions
Vector search with Pinecone
We used PineconeDB to store embeddings of financial content and enable fast semantic search across the dataset. This allowed the assistant to retrieve relevant context efficiently.
AI workflows with LangChain
Langchain was used to structure the interaction between the language model and the retrieval system, enabling a stable and scalable response pipeline.
Conversational market assistant
The final system combines news ingestion, vector retrieval, and language models to generate contextual responses about market developments and financial topics.
Solutions
Vector search with Pinecone
We used PineconeDB to store embeddings of financial content and enable fast semantic search across the dataset. This allowed the assistant to retrieve relevant context efficiently.
AI workflows with LangChain
Langchain was used to structure the interaction between the language model and the retrieval system, enabling a stable and scalable response pipeline.
Conversational market assistant
The final system combines news ingestion, vector retrieval, and language models to generate contextual responses about market developments and financial topics.
Solutions
Vector search with Pinecone
We used PineconeDB to store embeddings of financial content and enable fast semantic search across the dataset. This allowed the assistant to retrieve relevant context efficiently.
AI workflows with LangChain
Langchain was used to structure the interaction between the language model and the retrieval system, enabling a stable and scalable response pipeline.
Conversational market assistant
The final system combines news ingestion, vector retrieval, and language models to generate contextual responses about market developments and financial topics.
Solutions
Vector search with Pinecone
We used PineconeDB to store embeddings of financial content and enable fast semantic search across the dataset. This allowed the assistant to retrieve relevant context efficiently.
AI workflows with LangChain
Langchain was used to structure the interaction between the language model and the retrieval system, enabling a stable and scalable response pipeline.
Conversational market assistant
The final system combines news ingestion, vector retrieval, and language models to generate contextual responses about market developments and financial topics.
Outcomes
Grid Capital now has an internal AI assistant that continuously processes financial news and makes it searchable in real time.
Analysts can quickly retrieve relevant information, understand market developments faster, and access contextual insights without manually scanning multiple sources.
Building tools for traders or financial teams? We can help.
Outcomes
Grid Capital now has an internal AI assistant that continuously processes financial news and makes it searchable in real time.
Analysts can quickly retrieve relevant information, understand market developments faster, and access contextual insights without manually scanning multiple sources.
Building tools for traders or financial teams? We can help.
Outcomes
Grid Capital now has an internal AI assistant that continuously processes financial news and makes it searchable in real time.
Analysts can quickly retrieve relevant information, understand market developments faster, and access contextual insights without manually scanning multiple sources.
Building tools for traders or financial teams? We can help.
Outcomes
Grid Capital now has an internal AI assistant that continuously processes financial news and makes it searchable in real time.
Analysts can quickly retrieve relevant information, understand market developments faster, and access contextual insights without manually scanning multiple sources.
Building tools for traders or financial teams? We can help.
Review
I wholeheartedly recommend Cozy Ventures as a reliable and innovative partner for any backend development needs
Alexey Sokolov, Founder, Grid Capital Inc.
Review
I wholeheartedly recommend Cozy Ventures as a reliable and innovative partner for any backend development needs
Alexey Sokolov, Founder, Grid Capital Inc.
Review
I wholeheartedly recommend Cozy Ventures as a reliable and innovative partner for any backend development needs
Alexey Sokolov, Founder, Grid Capital Inc.
Review
I wholeheartedly recommend Cozy Ventures as a reliable and innovative partner for any backend development needs
Alexey Sokolov, Founder, Grid Capital Inc.
ML & AI Integration
Denis Rozenkin
Development
Alexey Smolyaninov
Alexey Larionov
ML & AI Integration
Denis Rozenkin
Development
Alexey Smolyaninov
Alexey Larionov
ML & AI Integration
Denis Rozenkin
Development
Alexey Smolyaninov
Alexey Larionov
ML & AI Integration
Denis Rozenkin
Development
Alexey Smolyaninov
Alexey Larionov
Ready to build
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Barcelona
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Ready to build
something cozy?
Let’s talk about your goals and how we can help.
Istanbul
General Asım Gündüz Cad.
Onur Çarşısi No: 6/603
Barcelona
Carrer del Carme, 12
Ready to build
something cozy?
Let’s talk about your goals and how we can help.
Istanbul
General Asım Gündüz Cad.
Onur Çarşısi No: 6/603
Barcelona
Carrer del Carme, 12
Ready to build
something cozy?
Let’s talk about your goals and how we can help.
Istanbul
General Asım Gündüz Cad.
Onur Çarşısi No: 6/603
Barcelona
Carrer del Carme, 12