What we deliver
Most AI projects die in the notebook. Ours ship. We are a small studio in Nashik with 21+ delivered projects for clients across the US, UK, Canada, and India, and we treat a model as unfinished until it runs behind an API, inside a pipeline, in front of the people who act on it. Bring us the decision you need to make, not just a dataset, and we will work backward from there.
Analytics that ends in a decision, not a slide deck. We build predictive models, optimization engines, and simulations with scikit-learn, PyTorch, and OR-Tools, then deploy them behind FastAPI services your team can actually call. If a model never reaches production, it never happened. That is our bar.
Which customers will churn next quarter? What will demand look like in March? We build forecasting and classification models in scikit-learn and XGBoost, validate them against your own historical data, and ship them as APIs your systems query daily. You get a number you can plan against, with honest error bars.
We build solvers for routing, scheduling, and inventory problems using constraint programming and tools like Google OR-Tools. A good optimizer pays for itself in weeks: fewer trucks on the same routes, tighter shift schedules, less capital parked in stock. We usually start with your messiest planning spreadsheet and automate it.
Test a change on a virtual copy of your plant before you risk the real one. We model physical systems in simulation, feed them live IoT sensor data, and let you run what-if scenarios: a new production schedule, a machine failure, a demand spike. It is cheaper to break a twin than a factory.
Deep learning is not always the answer. Sometimes a Bayesian model or a well-specified regression beats a neural network and explains itself to your auditors. We pick the simplest method that answers the question, using Python's statistical stack, and we show our work so your team can defend the results.
Your data already knows why revenue dipped last quarter. BI is how you ask it. We build warehouses on PostgreSQL and BigQuery, pipe data in with tested ETL, and put live dashboards in front of the people who make the calls. One version of the truth, refreshed while you sleep.
Five systems, five versions of the truth. We consolidate your CRM, ERP, and product data into one warehouse, on PostgreSQL, BigQuery, or Redshift, with pipelines that are tested, monitored, and documented. When a source changes its schema at 2 a.m., you find out from an alert, not a broken report.
A dashboard nobody opens is a failed project. We design reports around the questions your team actually asks, in Power BI, Metabase, or custom React charts, and cut everything else. Fewer charts, clearer answers, and numbers your CFO and your floor manager both read the same way.
Access controls, encryption, audit trails, retention rules: unglamorous work that keeps you out of regulatory trouble. We set up role-based access, document data lineage, and help you meet GDPR and SOC 2 expectations without freezing your analysts out. Security that lets people work is the only kind they follow.
Most companies track too many numbers and trust too few. We sit with your leadership, find the handful of metrics that actually predict your business, and define each one precisely enough that finance and operations stop arguing about it. Then we wire those definitions into your dashboards so they stay honest.
You do not need a hundred-page strategy deck. You need to know what to build first. We audit your data, your systems, and your team's capacity, then hand you a sequenced plan with costs and trade-offs stated plainly. We learn your goals before we prescribe anything. A partner, not a vendor.
We map where your analytics stands today, gaps included, and sequence the next four quarters: which data to fix first, which dashboard earns its keep, when a model is actually worth building. Each step is scoped small enough to ship and prove its value before you commit to the next one.
Collecting data is easy. Knowing which data earns its storage bill is not. We define what you capture, where it lives, who owns it, and which use cases justify the effort, then rank those use cases by payoff. The output is a plan your engineers can start on Monday.
The cheapest platform is usually the one you already run, used better. Before recommending anything new, we audit what you have on AWS, GCP, or on-premise, cut what nobody uses, and only then propose additions. Fewer tools, fewer licenses, less glue code holding everything together.
A legacy system to retire, a cloud migration to time, an AI pilot to schedule: we put your technology decisions on one timeline with dependencies, costs, and risks spelled out. We do not resell anyone's licenses, so there is no vendor bias. You get a phased plan that survives contact with your budget cycle.
This is the deep end: vision systems, reinforcement learning, edge deployment, and LLM applications. We work in PyTorch, TensorFlow, OpenCV, and LangChain, and we prototype fast so you learn early whether an idea holds up. If the honest answer is that a simpler method wins, we will tell you that too.
A camera over a production line, catching defects a tired inspector misses: that is computer vision doing real work. We build detection and classification systems with OpenCV, YOLO, and PyTorch, train them on your own images, and tune them to run on a GPU server or a device at the edge.
Reinforcement learning shines where the rules are too messy to hand-code: dynamic pricing, resource allocation, control systems. We build simulated environments, train agents with modern RL libraries, and stress-test policies before they touch production. It is the right tool rarely, but when it fits, nothing else comes close.
Some decisions cannot wait for a round trip to the cloud. We compress models with quantization and pruning, then run them on-device with TensorFlow Lite and ONNX Runtime: on cameras, sensors, and industrial hardware. Lower latency, lower bandwidth bills, and your data never has to leave the building.
We build LLM applications that hold up after the demo: retrieval-augmented chatbots grounded in your documents, extraction pipelines, summarizers. Working with LangChain and models from OpenAI and open-source alternatives, we add evaluation and guardrails so answers stay accurate. A chatbot that invents policies is worse than no chatbot.
Let's discuss how our AI/ML Services solutions can help your business grow.