AI & Automation
Put AI to work on the tasks your team repeats every day.
The promise
We find the work that eats hours (support queues, document handling, reporting, lead qualification) and hand it to AI agents and automated workflows that plug into the tools you already use. Every build is evaluated against real examples before it goes live, so you know how it performs, what it costs and where a human stays in the loop.
What we do
AI & Automation, in practice.
- 01
AI agents & copilots
Assistants that take actions (look up records, draft replies, file tickets) with guardrails and approval steps.
- 02
Generative AI & RAG
Chat and search over your own documents, grounded in sources and permission-aware.
- 03
Document intelligence
Extracting data from invoices, contracts, forms and IDs into structured records.
- 04
Workflow automation
n8n, Make, Zapier and UiPath flows that connect apps and remove copy-paste work.
- 05
Custom ML models
Classification, forecasting and computer vision trained on your data.
- 06
Evaluation & cost control
Test sets, quality scoring, monitoring and model choice tuned for accuracy per rupee.
What you get
- Automation opportunity audit
- Working AI agent or assistant
- Knowledge base & retrieval pipeline
- Automated workflows with error handling
- Evaluation report with accuracy benchmarks
- Usage, cost and quality dashboard
- Runbook for your team
Who it suits
- Support and operations teams with high ticket volume
- Businesses processing documents by hand
- Leaders who want AI results, not AI experiments
The tools behind it
- Python
- OpenAI
- Claude
- Gemini
- Mistral AI
- LangChain
- LangGraph
- CrewAI
- Hugging Face
- PyTorch
- TensorFlow
- scikit-learn
- OpenCV
- Ollama
- Qdrant
- Milvus
- FastAPI
- n8n
- Make
- Zapier
- UiPath
- MLflow
