AI Research & Product Engineering
We build AI systems that work in the real world
We turn AI research into software you can use today. Not slide decks. Not demos. Real tools that solve real problems for your business.
AI that solves real business problems
Many companies talk about AI. Few ship it. We are a team of engineers and researchers based in Pune, India. We build AI software that works in production — not just in a lab.
Our focus is narrow on purpose. We work on three types of AI problems: making sense of messy data, reading and sorting documents, and predicting what happens next in a supply chain. We chose these areas because we have deep experience here.
Every tool we build starts as a research project. We test it with real data. We measure if it actually works. Only then do we offer it to clients. This means you get proven tech, not guesswork.
Our core skills
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RAG and AI search systems
We build tools that search your data and give answers in plain language. No more digging through files.
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Document processing
Our system reads invoices, contracts, and forms. It pulls out the data you need with 94% accuracy.
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Predictive analytics
We help you see what is coming. Our models forecast demand, spot risks, and find patterns in your data.
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Full-stack development
We do not just build AI models. We build the full app around them. Frontend, backend, cloud, and CI/CD.
What we are building
We have three active research projects. Each one tackles a problem we found in the field. Real data flows through these systems right now.
In Progress AI-Powered Customer Insights Engine
Generative AI platform that transforms raw customer data into actionable business intelligence through RAG and natural-language queries.
Prototype Intelligent Document Processing
AI-powered system that extracts, classifies, and processes unstructured business documents at scale using computer vision and NLP.
Research Predictive Supply Chain Analytics
ML models that forecast demand patterns and optimize inventory management across supply chains using multi-signal time series analysis.
Five clear steps from problem to product
We start with your problem, not a tool. First, we ask: what is broken? Then we check: can AI fix it better than other options? If yes, we build it. If no, we tell you.
How we work with clients
We build AI tools from our own research. When your problem fits, we turn that research into software for you. Here are three ways we work together:
Custom Software Development
Production-grade web and mobile applications, built on the same architecture patterns we use for our own products.
See How We Build Software 02/03AI & ML Solutions
Machine learning systems that solve specific, measurable problems — document processing, demand forecasting, customer intelligence.
See How We Build AI Systems 03/03AI Consulting & Strategy
For teams that need to evaluate whether AI fits their problem before committing to a build.
See How We Approach StrategyBuilt on research, delivered as software
Most AI firms sell promises. We ship working tools. Here is what sets us apart.
Active research projects
We test AI methods in our own lab first. You get proven tools, not experiments on your budget.
Document processing accuracy
Our invoice processing system reads documents with 94% accuracy. No matter the vendor format.
Steps from problem to production
A clear process: Discover, Research, Prototype, Build, Launch. No guesswork. No wasted time.
Active Research Projects
Products in Development
Document Processing Accuracy
Years of AI R&D
Have a problem that might need AI?
Tell us what you are working on. We will be honest about whether AI is the right fit. If it is, we will show you what it takes to build it.
Talk to Our Team