
The rise of AI has proven to be a boon and a bane for programmers, shifting focus from gathering large volumes of data to collecting the right data. Since AI models are trained on data, programmers need to consider factors like bias, representation, and context in data collection, which has led to more sophisticated data collection pipelines and better docu- mentation practices. Increasing sources of data has led to the need for refining data collection methods, to tackle challenges of high costs and the headache of using data optimally. Stepping in to address these challenges, Primastat, a budding MLOps startup, takes a revolutionary data lake house approach.
Amalgamating the best parts of data warehouses and data lakes into a single, unified platform, the company makes data easily accessible and usable. The firm combines the reliability and exceptional performance of a data warehouse and the scalability of a data lake, in a package capable of handling both structured and unstructured data. With its transformative strategies, the company helps businesses set up a foundation that enables them to harness the potential of the collected data optimally.
Building Robust Data Infrastructure
Supporting businesses in building robust data infrastructure and integrating AI solutions effectively, Primastat takes a structured approach for data organization. The firm implements strong data quality checks, which help develop a stable foundation for the pertinent technologies to work in real business environments. The firm also ensures everything is properly catalogued, simplifying the process of locating data when needed, helping companies manage their data efficiently.
For LLM solutions, the company excels in mastering model finetuning, and building efficient data pipelines, creating the perfect architecture aligned with the specific business needs. With regards to ML integration, the company prioritizes practical impact. Providing comprehensive and diverse solutions
across the board, the company focuses on the real business metrics, particularly revenue increase, cost reduction or efficiency gains.
“What sets us apart is our focus on ensuring that every ML model or LLM solution we implement shows clear business impact. It's not about AI for AI's sake, it's about using these technologies to solve real problems and drive measurable results. Plus, our approach significantly cuts down maintenance costs since you're managing one unified system instead of multiple separate ones”, shares
Shivansh Kaushik, Founder, Primastat.
Supporting businesses in building robust data infrastructure and integrating AI solutions effectively, Primastat takes a structured approach for data organization
The firm also stands out for building flexible data foundations, inspired by the idea that businesses grow, and their infrastructure needs evolve and scale with them. The data lake houses implemented by the firm are capable of handling any type of data, enabling businesses to store data for current operations, as well as for future use. This eliminates the need to rebuild the entire infrastructure in future.
The team’s focus on automation and monitoring has proved to be a game-changer, supporting system scalability as per business needs. This further allows businesses to stay ahead of potential bottlenecks.
Future-Ready Strategies
Building customized solutions that make sense for every individual business, the firm has created a unique position for itself in the market. As the firm environs its future, it sees itself leading the field of Data and AI.
To achieve this, the team aims to focus on its key strength, which is supporting businesses harness data effectively. The firm aspires to become an ecosystem where its solutions and products work seamlessly. To stay ahead, the firm is actively developing a new AI-powered analytics tool to make data insights accessible to everyone. It is also developing AI products that help businesses extract greater value from existing data. With these strategies, the firm is marching towards a future where it becomes the go-to partner for companies to unlock the value in their data.