- Guardrail
- Supervisor
- Five agentsFlights Hotels Weather Budget Itinerary
- Human approval
AI and machine learning
Assistants that answer from your own documents, agents that take repetitive work off your team, and models that forecast and flag. Built with guardrails, tested against real questions, and with a person approving anything that matters.
Services in AI and machine learning
4 services. Open any of them for what’s included, when it makes sense and what you get.
Machine learning
Models that predict, classify and flag what people would miss.
- Demand and sales forecasting
- Churn prediction and segments
- Recommendations and pricing
- Fraud and anomaly detection
Generative AI and LLM apps
Language models put to work on your own data, with guardrails.
- Assistants and chatbots
- Document search, summaries and Q&A
- AI agents
- Guardrails and testing
NLP and computer vision
Reading text, documents and images at scale.
- Document extraction and OCR
- Text classification and sentiment
- Image recognition and visual checks
- Record matching
MLOps and responsible AI
Models that keep working long after launch.
- Deployment
- Monitoring
- Retraining pipelines
- Model registry
Projects we take on
The kinds of work clients bring to this practice.
An assistant on your own documents
Answers from your policies, manuals or contracts, with the source passage shown for every answer.
An AI agent for a repetitive workflow
Reading emails or documents, filling in systems and drafting replies, with a person approving each action.
Document extraction
Invoices, forms and PDFs turned into clean data, with uncertain fields flagged for a person to check.
Forecasting and prediction
Demand, sales, churn or fraud models trained on your history and monitored after launch.
Voice and Indian languages
Speech and text in Hindi and other Indian languages, as in our team’s own projects.
How we approach it
Grounded in your data
Answers come from your documents and systems, and show where they came from.
Tested before launch
We build a set of real questions and expected answers with you, and the system has to pass it before it goes live.
A person approves what matters
Anything that sends, pays, deletes or changes records waits for a person to approve it.
Costs you can predict
We use the smallest model that does the job well and set usage limits, so a busy month doesn’t surprise you.
Who works on it
Jatin Thakur
AI agents developer
LangGraph, FastAPI and MCP: multi-agent workflows with a human approval step built in.
Nilesh Patil
Full-stack and generative AI developer
Web platforms, Android apps and AI agents. Has code merged into Apple, Microsoft, OpenAI and Hugging Face projects.
Harsh Sahu
Machine learning, IIT Kharagpur
Speech models, retrieval systems and reproducible data science, with tests and checks built in.
Karandeep Singh Talwar
Forward deployed AI engineer and analytics architect
SQL Server back ends, ASP.NET APIs, Power BI reporting and assistants built on Amazon Bedrock.
If your project needs a specialist we don’t have in-house, you hear it on the first call, and they’re named in your proposal before any work starts.
Related work
Built by our engineers before Orandic. None of these clients hired Orandic.
- Question
- One agent per passage
- Cross-check
- Answer
Ramesh ko 500 rupaye udhaar
Here’s what I understood: Ramesh, udhaar ₹500. Confirm and save?
- Voice
- Reads the screen
- Plans
- Clicks and types
- Backstory
- Retriever
- Reasoner
- Verdict
Questions about AI and machine learning
Where do we start with AI?
With one repetitive task that costs your team time every week. We look at your candidates, pick the one with the clearest payback, and prototype it on your own data before anything bigger.
Can AI work in Hindi and other Indian languages?
Yes. Our team has built speech and text projects in Hindi and other Indian languages. We test with the language your users actually write and speak before launch.
Will AI replace people on our team?
Most of what we build takes repetitive work off people, so they spend more time on decisions and customers. Anything important still goes past a person.
Other practices
Tell us what you need built.
A free 30-minute call with an engineer. You get the scope, timeline and price in writing before you commit, and a reply within one working day.