Welcome to the Real World!
No jargons, only the truth.
A team of data scientists to help you distill value from your data.
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Happy Clients
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Long-term Clients
End-to-End Deployments
Years of Experience
Services
Data Engineering, DataOps, and Analytics
Leverage your data to drive informed decisions and strategic insights. Our Data Engineering services encompass end-to-end design, construction, and optimization of data pipelines that integrate numerical, textual, and multimedia data sources. From legacy databases to cutting-edge big data solutions, we leverage tools like SQL (keeping it classic), Apache Spark for speed, and dbt for modern, clean transformation pipelines. By implementing data-privacy sensitive DataOps practices, we ensure robust data quality, security, and efficiency throughout the data lifecycle. Our solutions extend into advanced business analytics and interactive visualizations tailored to your organization’s KPIs. Whether it’s developing an ETL process for a retail chain or building a dynamic dashboard for real-time IoT data, we prioritize scalability and precision, empowering your team to make data-driven decisions swiftly and accurately. Whether you’re drowning in spreadsheets or just trying to figure out why your databases are having an existential crisis, we’ve got the tools and expertise to help. And yes, we promise to make those pie charts actually mean something this time!
Machine Learning
Not every problem needs a neural network with more layers than your favorite cake! Machine Learning should be tailored to fit the unique demands of your business, not the other way around. Our machine learning specialists take a holistic approach, blending advanced algorithms, interpretable models, and robust testing frameworks to develop solutions that are not only effective but also sustainable and cost-efficient. We work closely with our clients to deeply understand their unique business challenges, data environments, and long-term objectives, enabling us to tailor our ML strategies accordingly. From predictive maintenance and fraud detection to personalized recommendation systems and automated decision-making, we empower organizations to harness the transformative power of machine learning, leveraging tools like scikit-learn, TensorFlow, and the latest advancements in PyTorch. We’ll help you avoid the dreaded “we used AI because we could” syndrome and instead focus on solutions that actually work.
Timeseries Analysis
Need to predict what’s next? Sustainable growth is defined by rapid change and unprecedented uncertainty, the ability to accurately forecast trends, anticipate market shifts, and proactively plan for the future is essential for organizational success. Specializing in complex sequential data analysis and forecasting, we develop solutions that translate historical data into actionable, future-oriented insights. Whether you’re looking to optimize inventory, predict equipment failures, monitor environmental changes or gain visibility into key operational metrics, we can design custom-tailored solutions that leverage the power of time series analysis. Equipped with state-of-the-art techniques, such as ARIMA and Long Short-Term Memory (LSTM) networks, we deliver models that keep you prepared for the future, transforming raw time-stamped data into a competitive advantage. And unlike your local fortune teller, we come with confidence intervals and validation metrics!
ML Lifecycle Management
Ever tried herding cats? Well, deploying ML models in production is actually trickier! Achieving successful, scalable machine learning deployment requires well-orchestrated ML Lifecycle Management. Our MLOps services cover all stages of the model lifecycle—from data preparation and training to deployment, monitoring, and maintenance. We streamline operations by integrating automation, version control, and monitoring into your pipeline, reducing the time between model development and business impact. We work closely with our clients to establish robust governance frameworks, automate key processes, and implement scalable, reliable infrastructure using tools like the legacy MLlib library in Apache Spark, the more recent MLflow, and the containerization and orchestration capabilities of Kubernetes. Whether you’re deploying a recommendation engine or predictive maintenance model, our MLOps solutions ensure your models remain accurate and performant, even as new data and operational requirements evolve. We’ll help you avoid the “it worked on my laptop” syndrome and ensure your models behave as well in the wild as they did in training.
Natural Language Processing (NLP) and Generative AI
Remember when teaching machines to understand humans was science fiction? Well, welcome to the future! From enhancing customer service through chatbots to deriving insights from vast amounts of text, we deploy and fine-tune language models to drive business transformation. Our NLP and generative AI experts leverage cutting-edge techniques and models, including the foundational natural language toolkit (NLTK), the more recent Transformers library, and the state-of-the-art large language models, to develop intelligent solutions that automate and enhance a wide range of business processes. From intelligent chatbots and virtual assistants that deliver personalized customer experiences to content generation tools that streamline report writing and document processing, we empower our clients to harness the power of natural language understanding and generation. And yes, we promise our solutions will understand the difference between “Let’s eat, grandma” and “Let’s eat grandma”!
Computer Vision
Want to teach computers to see? Computer vision (CV) is transforming industries across the spectrum, from healthcare and manufacturing to transportation and security. With classic OpenCV, high-powered PyTorch, and edge-ready TensorFlow Lite, our tech stack captures and interprets images wherever they are—web, mobile, or edge. Whether you’re analyzing X-rays, counting sheep (literally or metaphorically), or detecting defects smaller than your manager’s patience, we’ve got the CV expertise to make it happen. Our computer vision services streamline workflows, enhance safety, and drive operational efficiency—opening new opportunities for your business to engage with the world visually. And unlike human vision, our solutions don’t need coffee breaks to stay sharp!
Process Precision: Engineered Success
Discovery
Dive into the business, domain, and stakeholder goals – because great strategies are built on insights, not assumptions.
Hunt down high-value opportunities where Data and AI can deliver measurable wins. Rank projects by their business impact, secure stakeholder alignment with a strategic roadmap, and choose a tech stack that’s built to last, not just trendy.
Data
Time to wrangle the data! Start with a treasure hunt for context-specific data (no, spreadsheets from 2005 don’t count). Dive deep with exploratory analysis to unearth patterns, challenges, and a few surprises.
Set mission-critical criteria: Is the data available? Relevant? High-quality? Or just pretending to be useful?
Solution design
Plot the course with precision: sketch user journeys, select the tech stack, and separate the “must-haves” from the “nice-to-haves” (like a feature wishlist for Santa).
Create an evaluation framework to measure success and estimate costs—because even genius ideas need a budget. Wrap it all up in a precise development plan that’s more roadmap, less maze.
Development
Code smarter, not harder. Focus on shorter, optimized sprints with minimal technical debt (because fixing it later is never fun).
Deliver cost-effective, rock-solid solutions—even if the team is small enough to fit in a coffee shop. Collaboration and planning are the secret sauce here!
Deployment and Productionization
Launch with confidence after rigorous unit and integration tests (and maybe a backup plan or two). Expect smooth sailing but prepare for turbulence.
Build scalable architectures that can handle anything—from a startup side hustle to global domination. And, of course, keep improving like there’s no finish line.
Testimonials
100% Job success score.
More than 60% of our clients have worked with us for more than 1.5 years on an average.
Rahul Shenoy
LGSonic
“I had the pleasure of working with Shubhendu from TotemX Labs during 2021 for a engagement period of almost 1 year on a Machine Learning Project. Shubhendu is an excellent data scientist with a strong analytical mind and an eye for detail. He reviewed our preliminary research and data thoroughly and provided excellent feedback on the approach of the project.
Shubhendu is well versed in Machine Learning and Mathematical models and techniques. He provided excellent insight on the data shared while regularly communicating any queries related to biological/environmental aspects of the data. This ensured consistent improvement of the Model. Additionally, he provided excellent presentation of the data to relevant decision makers which enabled a simplified understanding of the complex model.
Shubhendu is enjoyable to work with and was an asset to our project. I would highly recommend Shubhendu for a position where Data is at the core of the project, as it is something he is passionate about.” – Rahul Shenoy, Project Manager, LGSonic, Netherlands
Jacqueline Comer
Areto Labs
“We’ve employed TotemX Labs for a few projects now. The first was to build data pipelines from our database to our web app, so we could create our own product dashboard with data visualisations. The next two projects were around helping review outputs of our LLM in specific languages, of which our team didn’t have the skills or background.”
TotemXLabs: Which KPI(s) were you tracking that are directly impacted?
Areto Labs: In short, before Totem we didn’t have a dashboard. After Kunjan, we did!
TotemXLabs: What did we do right?
Areto Labs: Everything. The work was extensive and well thought-out. They came up with lots of different ways of thinking about the problem we were solving and helped refine our scope (not to make the project bigger but actually more precise.)
Ready when you are
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